LIVE FEED
FIRST LOOK Microsoft MDASH Brings AI-Powered Windows Vulnerability Discovery // FIRST LOOK FableCut Ships AI-Drivable Browser Video Editor via MCP and REST // FIRST LOOK AI Agents Emerge as a New Identity Class Orgs Must Secure // HIGH CVE-2026-12958: GhostApproval Symlink Attack on Coding Agents // HIGH Prompt Injection Attacks Claude Code and Codex Execution // HIGH DPAPI Abuse in Claude Code and Cursor Triggers EDR // FIRST LOOK Y Combinator Ships Agentic Code Generation at 37K Lines Daily // HIGH Google Gemini Abused for Phishing-as-a-Service // CRITICAL Writer AI Session Token Leak Enables Account Takeover // MEDIUM Anthropic Mythos LLM Scans Federal Software for Vulnerabilities //
DUAL-USE

Dual-Use

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All LLM Security Agentic AI Industry News Research Supply Chain Prompt Injection First Look: Security Regulatory Jailbreaks Adversarial ML Data Poisoning Model Theft AI Security Tools Security Operations
OpenAI Launches GPT-5.6 with Enhanced Agentic Capabilities

OpenAI Launches GPT-5.6 with Enhanced Agentic Capabilities

FIRST LOOK ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 7.2 TechCrunch AI

OpenAI has released GPT-5.6 in a restricted preview to government-vetted partners, featuring three models (Sol, Terra, Luna) with significantly upgraded agentic capabilities in coding, biology, and cybersecurity, including a coordinated multi-subagent 'ultra' mode. The cybersecurity-specific enhancements and agentic orchestration introduce meaningful new attack surface: adversaries gaining access to Sol's coordinated subagent architecture could automate sophisticated multi-stage intrusions at scale previously requiring significant human expertise. The restricted rollout itself creates a novel supply chain and access-control risk, as the 'trusted partner' gating model concentrates high-capability model access among a small set of privileged accounts, making partner credential compromise a high-value target.

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.

Anthropic Mythos AI Autonomously Discovers Zero-Day Exploits

Anthropic Mythos AI Autonomously Discovers Zero-Day Exploits

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 8.2 Dark Reading

Anthropic has released a preview of 'Mythos,' an AI model reportedly capable of autonomously discovering and exploiting critical zero-day vulnerabilities, raising significant dual-use concerns. While Anthropic claims the model ships with access controls, the security community is scrutinising whether those safeguards are sufficient to prevent misuse by malicious actors. The development represents a pivotal moment in the arms race between offensive AI capabilities and defensive governance frameworks.

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