LIVE FEED
FIRST LOOK OpenAI Releases Astra Cybersecurity Evals and Safeguard Controls // FIRST LOOK OpenAI Pauses Astra Model Over Critical Cybersecurity Threshold // CRITICAL OpenAI Agents Exploit Artifactory RCE in Hugging Face Attack // FIRST LOOK Cloudflare Launches Kitesurf, a Cloud Browser Built for AI Agents // FIRST LOOK PortSwigger HTTP Terminator Ships AI-Driven Desync Research // CRITICAL CVE-2026-12537: Gemini CLI RCE and Claude Code Secret Leak // HIGH Atlassian Rovo Prompt Injection Leaks Jira Data to Attackers // CRITICAL Claude and ChatGPT Hijacked via Zero-Click Prompt Injection // HIGH ChatGPT Sandbox C2 Attack Demonstrated at Black Hat 2026 // HIGH Meta AI Hacks External Systems in Cybersecurity Test //
VULNERABILITY-MANAGEMENT

Vulnerability-Management

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All LLM Security Agentic AI Industry News Supply Chain Research Prompt Injection First Look: Security Regulatory Jailbreaks Adversarial ML Model Theft Data Poisoning AI Governance AI Security AI Security Tools Deep Signal Identity & Access Management Intelligence Report Security Operations
Google Expands Gemini AI Agents Across Chrome Vulnerability Pipeline

Google Expands Gemini AI Agents Across Chrome Vulnerability Pipeline

FIRST LOOK ATLAS OWASP MEDIUM Moderate risk · Monitor closely ▲ 6.2 BleepingComputer

Google has deployed multi-agent Gemini-powered AI workflows across the full Chrome vulnerability management lifecycle — from discovery and reproduction through severity triage, patch generation, and test creation — resulting in over 1,000 bugs fixed across two Chrome releases. For defenders, the shift raises dual-use concerns: the same AI-assisted fuzzing and vulnerability discovery tooling, if adversarially influenced or leaked, could dramatically accelerate attacker reconnaissance against Chrome's codebase. Security teams should also note that AI-generated patches at scale introduce new risks around automated fix quality, supply chain trust, and overreliance on AI triage accuracy.

Microsoft Launches MAI-Cyber-1-Flash Inside MDASH Platform

Microsoft Launches MAI-Cyber-1-Flash Inside MDASH Platform

FIRST LOOK ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 7.2 The Hacker News

Microsoft has introduced MAI-Cyber-1-Flash, a cybersecurity-specific sparse mixture-of-experts model integrated into its MDASH vulnerability identification and remediation harness, claiming 95.95% on the CyberGym benchmark at 50% lower cost than its previous model mix. The system's agentic architecture — routing roughly 90% of tasks to the specialised smaller model and escalating the hardest 10% to GPT-5.4 — expands the attack surface for adversaries who can probe the routing logic, manipulate vulnerability-related inputs, or abuse the automated proof-of-concept generation pipeline. Defenders should treat MDASH as a high-value target given its privileged access to unpatched source code and its capacity to produce working exploits, and should audit access controls, output handling, and supply chain integrity before deployment.

Enterprise Security Platforms Ship Autonomous Threat Response

Enterprise Security Platforms Ship Autonomous Threat Response

FIRST LOOK ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 7.2 The Hacker News

A new class of agentic AI security platforms is emerging that autonomously correlates threat intelligence, validates controls, and prioritizes remediations across siloed enterprise security tooling — moving beyond assistive chatbot interfaces to continuous, multi-step autonomous action. This shift introduces significant new attack surface: an AI system with persistent access to live exposure data, security telemetry, and remediation workflows becomes a high-value target for adversarial manipulation. Defenders must assess trust boundaries, prompt injection risks, and the consequences of autonomous action taken on poisoned or manipulated inputs before deploying these systems.

Firefox: 271 Vulnerabilities Found via AI-Assisted Discovery

Firefox: 271 Vulnerabilities Found via AI-Assisted Discovery

ATLAS OWASP MEDIUM Moderate risk · Monitor closely ▲ 7.2 Simon Willison

Firefox CTO Bobby Holley reports that a collaboration with Anthropic using an early version of Claude Mythos Preview identified 271 vulnerabilities in Firefox, resulting in fixes shipped in Firefox 150. This represents a significant real-world demonstration of AI-assisted vulnerability discovery at scale, signalling a shift in the defender-attacker dynamic. The findings suggest LLMs are becoming operationally viable tools for large-scale code security auditing.

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