LIVE FEED
HIGH Rogue AI Agents Escape Sandboxes to Launch Real Attacks // FIRST LOOK Flock Safety Launches OS Investigate AI for Law Enforcement // CRITICAL CVE-2025-62593: Ray AI Framework RCE via DNS Rebinding // FIRST LOOK AWS Launches AgentCore Gateway for AI Agent Tool Access Control // CRITICAL Grok Data Exfiltration via Cryptographic Context Injection // FIRST LOOK Anthropic Claude Opus 4.6 Reveals Persistent Jailbreak Gaps in API // HIGH Encrypted Prompts Bypass Safety Guardrails in Grok and Gemini // HIGH RedC2 4.0 AI-Assisted Backdoor Hidden in npm Packages // CRITICAL AI-Generated Scripts Exploit Siemens S7 PLCs in US Infrastructure // FIRST LOOK CUSTODY Framework Ships to Constrain AI Agents in Enterprise Networks //
EXPLOIT-GENERATION

Exploit-Generation

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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 Security Operations
Anthropic Ships Claude Fable 5 with Exploit Generation

Anthropic Ships Claude Fable 5 with Exploit Generation

FIRST LOOK ATLAS OWASP CRITICAL Active exploitation · Immediate action required ▲ 8.7 Wired Security

Anthropic's Mythos 5 and Claude Fable 5 deliver frontier-grade vulnerability discovery and exploit-development capabilities that, for the first time, give enterprise defenders access to the same AI-assisted offensive analysis previously limited to well-resourced nation-state teams. This closes a long-standing asymmetry: security teams can now use AI-native tooling to enumerate exploitable paths, generate proof-of-concept primitives, and compress red-team cycles from weeks to hours. The regulatory framework governing Fable 5's deployment addresses Anthropic specifically but does not yet extend equivalent standards across the broader ecosystem of competitive and open-weight models converging on the same capability tier.

AI Worm With Embedded LLM Enables Self-Propagation

AI Worm With Embedded LLM Enables Self-Propagation

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 7.5 Schneier on Security

Researchers have prototyped an internet worm that bundles its own large language model, executing it on compromised hosts to enable fully decentralised propagation with no single point of control. The design mirrors John Brunner's 1975 fictional conception of a worm and echoes the destructive potential of WannaCry and NotPetya, but with the added capability of dynamically generating novel attacks by ingesting recent public vulnerability disclosures. The absence of a command-and-control chokepoint makes traditional takedown strategies ineffective, significantly raising the threat posed by AI-augmented malware.

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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