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Google Cloud Tech: End-to-end agentic development with Google Gemini, Antigravity, and GitLab

Video von Google Cloud Tech auf YouTube: Learn more about GitLab → https://g.dev/ai/gitlab Get started with GitLab on the Google Cloud Marketplace today →…

Sicherheitslücken (CVE) Google Cloud Tech 02.09.2026, 21:00 Uhr 2 Min. Lesezeit Cloud & IT-Enterprise

↗ Quelle (Google Cloud Tech)

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YouTube Video

Learn more about GitLab → https://g.dev/ai/gitlab

Get started with GitLab on the Google Cloud Marketplace today → https://g.dev/cloud/google-cloud-marketplace

Learn more about Google Gemini → https://g.dev/ai/about-gemini

See how Google Gemini, Antigravity, and GitLab come together to deliver an end-to-end, secure, and efficient agentic development workflow.

Join Regnard Raquedan, Senior Ecosystem Solutions Architect at GitLab, as he walks through giving a Python application a complete UI makeover—from AI-assisted UI design and automated GitLab issue creation to automated code review and seamless deployment to Google Cloud Run.

*Watch along and learn:*

* *AI UI design & generation:* Creating UI mockups and translating designs directly into application code using Google Gemini inside the Antigravity IDE.

* GitLab MCP integration:* Automating issue tracking, branch creation, and Merge Requests directly from your IDE.

* *Automated code review:* Using native AI agents in the *GitLab Duo Agent Platform* (Develop with Google Gemini) to review Merge Requests before deployment.

* *Secure CI/CD deployment:* Running automated security scanning, container packaging with Google Artifact Registry, and deploying live to Google Cloud Run.

🔗 Resources:

*GitLab Duo → https://g.dev/ai/gitlab-duo

_This is the central hub for GitLab's AI-powered features. It covers everything from code suggestions (Code Suggestions) to vulnerability explanation, MR summarization, and root cause analysis._

* GitLab Duo Agent Platform → https://g.dev/ai/search-context

_(Search context: The demo specifically mentions this platform). This is the infrastructure for running custom AI agents within GitLab. You can find technical deep dives and documentation on how to build and integrate your own agents here._

* GitLab & Google Cloud integration documentation → https://g.dev/ai/setup-google-artifact-management

_This guide covers how to set up Google Artifact Management, IAM, and deployment targets (like Cloud Run) as shown in the demo._

#GitLab #Gemini #GoogleCloud #CloudRun #GitLabDuo #AgenticAI #DevSecOps #SoftwareDevelopment

Building What's Next with Google Cloud → https://goo.gle/Agentic-AI-Solutions

🔔 Subscribe to Google Cloud Tech → https://goo.gle/GoogleCloudTech

#GoogleCloudPartners #GenAI

Speaker: Regnard Raquedan

Products Mentioned: GitLab Duo Agent Platform, Google Gemini, Antigravity, Model Context Protocol, GitLab MCP Server, Google Cloud Run, Google Artifact Registry

CTI Threat Relationship Graph2 Knoten / 1 Relationen

CVE / Incident Software MITRE ATT&CK CWE Weakness IoC

IR-PLAYBOOK-RCEHIGH

Schritte anzeigen

SOC Incident Playbook: Remote Code Execution (RCE) Defense

WAF MitigationSofort

Virtuelles Patchen am Reverse Proxy / WAF für gefährdete URL-Pfade und Payloads aktivieren.

SecRule REQUEST_URI "@rx ..." "id:1001,phase:1,deny,status:403"

Web Shell ScanSofort

Web-Root auf neu angelegte Scripts, anomal modifizierte Dateien und Persistence scannen.

find /var/www -type f -name "*.php" -mmin -120

Outbound FilteringSofort

Ausgehenden Datenverkehr (Reverse Shells zu unbekannten IPs/Ports) blockieren.

ss -tunp | grep -E ":(4444|1337|8080|9001)"

Vendor Patching

Hersteller-Update in Staging validieren und schnellstmöglich in Produktion ausrollen.

apt update && apt --only-upgrade install <pkg>

1-Click Detection Engineering: Sigma & YARA RulesSOC Ready

Regeln anzeigen

title: Detect Exploitation - Google Cloud Tech: End-to-end agentic development with Google Gemini, Antigravity, and GitLab
id: 18cdabbc-0eda-4982-bb59-14b90e186337
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 = "Google Cloud Tech: End-to-end " ascii wide
    condition:
        any of them
}

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Blättern: Pfeiltasten [ ← ] [ → ] · Tasten j / k · mobil: Wischen

Fokus-Vektor:

Kognitive Analyse für identifizierte Bedrohung: Erhöhte Bedrohungslage im Bereich Google Cloud Tech: End-to-end agentic de.... 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.

🔗 Semantisch verwandte Zero-Days MariaDB 11.7 VEC

Schnell-Prompts für Analysten

⚠️ DEFANGED SANDBOX VIEW (tsecurity.de): Alle Netzwerkindikatoren und URLs wurden neutralisiert (2 Indikatoren entschärft). Nur zur defensiven Analyse!

Format: python

#!/usr/bin/env python3
# Exploit Title: PoC for Target
import socket, sys
target = '192[.]168[.]1[.]10'
url = 'hxxp://target[.]local/vuln'
s = socket.socket()
s.connect((target, 80))
s.send(b'GET / HTTP/1.1\r\nHost: target.local\r\n\r\n')

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