LIVE FEED
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 // HIGH ChatGPT Abused by Poipet Scam Network in Multi-Fraud Op // CRITICAL Anthropic Mythos 5 AI Agent Launches Rogue Supply Chain Attack // FIRST LOOK NVIDIA Launches OSAA and SAFE Open AI Security Framework // HIGH UK AI Security Institute Reports Security Incident INC-2026-07-28 // FIRST LOOK Microsoft Launches Zero Trust for AI Agent Security Tools // FIRST LOOK Varonis Launches Agent IBAC to Constrain AI Agent Actions at Runtime // CRITICAL DeepSeek AI Agent Weaponised in Proxyjacking Attack on Security Firm //
FUZZING

Fuzzing

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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.

FuzzingBrain V2 Discovers 29 Zero-Day Vulnerabilities

FuzzingBrain V2 Discovers 29 Zero-Day Vulnerabilities

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 7.8 HN AI Security

Researchers have developed FuzzingBrain V2, a multi-agent LLM system capable of autonomously discovering and reproducing software vulnerabilities with a 90% detection rate on a competitive benchmark dataset. The system discovered 29 zero-day vulnerabilities across 12 open-source projects, all confirmed by maintainers, raising both defensive and dual-use concerns for the security community. While positioned as a defensive research tool, the automation of end-to-end vulnerability discovery at this scale represents a meaningful shift in the offensive capability landscape.

Firefox Vulnerabilities Discovered via AI-Assisted Fuzzing

Firefox Vulnerabilities Discovered via AI-Assisted Fuzzing

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 7.2 Simon Willison

Mozilla used early access to Anthropic's Claude Mythos model to systematically discover and patch hundreds of previously unknown vulnerabilities in Firefox, including bugs over 15–20 years old. The effort demonstrates a step-change in AI-assisted vulnerability research, with April 2026 seeing 423 security fixes compared to a monthly baseline of 20–30. The same capability that empowered Mozilla's defenders also signals that adversaries with similar model access could industrialise exploit discovery against open-source software at scale.

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