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YouTube Security VideosMicrosoft Mechanics: One Prompt Builds Your Copilot Agent(24.09.2026 um 20:15 Uhr)
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⚡ tsecurity.de Intelligence

Does it really work for anybody, AI agentic testing, or automation

I have extensive experience in testing, automation, and setup of all these systems, and have successfully led numerous projects in the past that have fixed and scaled up automation, even for non-technical engineers. Participated and…

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I have extensive experience in testing, automation, and setup of all these systems, and have successfully led numerous projects in the past that have fixed and scaled up automation, even for non-technical engineers.



Participated and consulted with around ten companies about how to fix their Agentic testing or automation approach.

In most cases, automation and testing were so unreliable that they even resulted in false positives, prompting complaints from C-level executives, managers, and engineers about their decision to shift Test Engineers or Automation engineers.



Some of the Agentic testing providers claim to develop around 1000 test cases monthly, but after a few months, they deliver around 500 largely flaky tests.

Some providers have claimed zero flakiness, connect Confluence or documents, and our tool will build excellent test coverage for every feature without requiring human interaction.



I had a chance to listen to their demos, watch their ads, and websites with excellent descriptions

But most of their demos, sites, and ads are based on just login, or just fulfilling a simple user registration setup



But moreover, I see lots of articles on the engineering media that "Playwright MCP will blow your mind" and it's the same - login scenario, maximum simple registration, and shitty code generated based




So, does anybody have a success story for a big product to shift human Test Engineering to Agentic testing tools?


SOC Incident Playbook: Vulnerability Remediation & Verification
title: Detect Exploitation - Does it really work for anybody, AI agentic testing, or automation
id: 3eca5162-9e30-4780-aeb2-933e9b2e44a2
status: experimental
description: Automatisch generierte SIEM-Erkennungsregel basierend auf CTI Intelligence
references:
  - https://tsecurity.de/
author: iShareStuff CTI Automated Detection Engine
date: 2026-09-24
logsource:
  category: network_connection
  product: any
detection:
  selection:
      CommandLine|contains:
        - 'exploit'
  condition: selection
falsepositives:
  - Legitime administrative Zugriffe oder Penetrationstests
level: high
tags:
  - attack.initial_access
rule CTI_Threat_Indicator {
    meta:
        author = "iShareStuff CTI Automated Detection Engine"
        date = "2026-09-24"
        description = "YARA Signature for "
    strings:
        $str = "Does it really work for anybod" ascii wide
    condition:
        any of them
}
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Kognitive Analyse für identifizierte Bedrohung: Erhöhte Bedrohungslage im Bereich Does it really work for anybody, AI agen.... Basierend auf 368k Vektor-Korrelationen werden sofortige Isolationsmaßnahmen für betroffene Endpunkte empfohlen.

🛡️ Angriffsfläche & Exposure

Netzwerk/Remote-Zugriff ohne Vorauthentifizierung möglich.

⚡ Empfohlene Sofortmaßnahmen
  • 1. Perimeter-Inspektion: Relevante Portfreigaben und exponierte Endpunkte unverzüglich scannen.
  • 2. Patch-Applikation: Hersteller-Hotfix einspielen oder betroffene Daemons in isolierte DMZ-Segmente überführen.
  • 3. Telemetrie & EDR-Alerts: Prozessaufrufe und Child-Processes auf anomale Shell-Spawns überwachen.
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