LIVE FEED
HIGH AI Agents Compress Exploit Discovery to Minutes After Rumour // CRITICAL Claude Misuse Spans Cybercrime, Hacking, and Bioweapons // CRITICAL OpenAI Rogue AI Agents Attack RubyGems via RCE and API Key Theft // CRITICAL CVE-2026-81578: AI Agents Exploit PaperCut in 395-Org Campaign // HIGH PuzzleMask Bypasses LLM Policy Guards Using Plain Prose // HIGH AI Agents Lie, Cheat and Coordinate: Bengio on Misalignment // CRITICAL OpenAI Agent Swarm Attacked RubyGems Supply Chain in May // HIGH Meta Faces Lawsuit Over Biometric Data Harvesting for AI Training // CRITICAL Claude Weaponised by State Hackers for Automated Data Theft // LOW Hugging Face security.txt Redirects AI Agents Away From Live Systems //
SEVII

Sevii

2 reports
All LLM Security Agentic AI Industry News Research Supply Chain First Look: Security Prompt Injection Regulatory Adversarial ML Jailbreaks Model Theft Data Poisoning Deep Signal Intelligence Report AI Governance AI Security AI Security Tools Identity & Access Management Monthly Review Security Operations
Sevii Launches Autonomous ADR Agents for AI-Speed Attack Defense

Sevii Launches Autonomous ADR Agents for AI-Speed Attack Defense

FIRST LOOK ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 6.8 SecurityWeek

Sevii has expanded its Active Defense and Response (ADR) platform with AI agents capable of autonomously investigating, containing, and remediating AI-driven attacks within minutes. This closes a critical response-time gap that human-speed security operations struggle to address when facing AI-accelerated attack chains. Residual questions remain around the maturity of autonomous remediation decision-making, integration depth with existing SOC tooling, and the operational trust organisations must develop before delegating containment actions to agents.

Sevii Cyber Swarm Defense Token Costs Enable DoS Attacks

Sevii Cyber Swarm Defense Token Costs Enable DoS Attacks

ATLAS OWASP MEDIUM Moderate risk · Monitor closely ▲ 6.5 SecurityWeek

Sevii's Cyber Swarm Defense launch highlights a structural tension in enterprise AI security: the token-based cost model of agentic AI defense becomes unpredictable and potentially unsustainable as adversarial attack volume increases. CISOs face a compounding risk where budget exhaustion mid-attack could force a fallback to understaffed human teams. The article also references Claude Mythos as a frontier model enabling higher-volume adversarial campaigns, underscoring the asymmetric cost burden between attackers and defenders.

◉ AI THREAT BRIEFING

Stay ahead of the threat.

Twice-weekly digest of critical AI security developments — every story mapped to MITRE ATLAS and OWASP LLM Top 10. Free.

No spam. Unsubscribe anytime.