LIVE FEED
CRITICAL LiteLLM PyPI Poisoning Exposes 2,500+ Orgs via CI Secrets // FIRST LOOK Meta Launches WhatsApp On-Device Scam Alert Feature // MEDIUM Context Bombing Uses Prompt Injection to Stop AI Hacking Agents // HIGH OpenAI, Anthropic, Google APIs Let Weaker Models Steal Reasoning // HIGH LLM Reasoning Trace Theft via Encrypted Block Replay Attack // FIRST LOOK OpenAI and AWS Launch Daybreak Red and Blue on Amazon Bedrock // CRITICAL CVE-2026-55040: SharePoint RCE Chain Found via AI Agent // FIRST LOOK OpenAI Releases GPT-5.6 Cyber for Approved Security Partners // HIGH GhostJacking Attack Hijacks AI Agents via Security Alerts // FIRST LOOK Cactus Releases Needle 2 Agentic LLM for IoT and Edge Devices //
AGENTIC-CODING

Agentic-Coding

4 reports
All LLM Security Agentic AI Industry News Supply Chain Research Prompt Injection First Look: Security Regulatory Jailbreaks Adversarial ML Model Theft Data Poisoning Deep Signal Intelligence Report AI Governance AI Security AI Security Tools Identity & Access Management Security Operations
OpenAI Pauses Astra Model Over Critical Cybersecurity Threshold

OpenAI Pauses Astra Model Over Critical Cybersecurity Threshold

FIRST LOOK ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 8.2 TechCrunch AI

OpenAI has publicly disclosed that its in-development Astra model reached a 'critical cybersecurity threshold' under its Preparedness Framework, triggering a voluntary suspension of certain development activities and engagement with government agencies and AI safety organisations. This marks a meaningful advance for defenders: a major lab operationalising its published safety framework to halt a model before deployment, demonstrating that pre-deployment capability evaluation can function as a genuine gate rather than a formality. Residual gaps remain around independent verification of threshold criteria, standardised cross-industry disclosure norms, and the maturity of government and third-party evaluation pipelines needed to act on these disclosures at pace.

Y Combinator Ships Agentic Code Generation at 37K Lines Daily

Y Combinator Ships Agentic Code Generation at 37K Lines Daily

FIRST LOOK ATLAS OWASP MEDIUM Moderate risk · Monitor closely ▲ 5.8 HN AI Security

Y Combinator CEO Garry Tan has publicly claimed to ship approximately 37,000 lines of AI-generated code per day using agentic coding tools, and an independent developer analysis has revealed the underlying mechanics of this workflow. This level of AI-assisted code velocity introduces meaningful security concerns around code provenance, supply chain integrity, and the reduced human review time per line of shipped code. Defenders should treat high-velocity AI code pipelines as a new supply chain risk category requiring dedicated SAST/DAST tooling and policy controls.

Anthropic Launches Claude Code with Local Memory Layer

Anthropic Launches Claude Code with Local Memory Layer

FIRST LOOK ATLAS OWASP MEDIUM Moderate risk · Monitor closely ▲ 5.8 Anthropic (via HN)

Recall is an open-source, fully-local memory layer for Anthropic's Claude Code that persists and summarises project context across coding sessions without sending data to external services. For defenders, the introduction of a persistent, file-based context store creates a new attack surface: a poisoned or tampered memory file can silently inject malicious instructions into every subsequent Claude Code session. Security teams should treat the local memory store as a trusted-input boundary and apply appropriate file-integrity and access controls.

DeepSeek Activation Steering Enables Local LLM Jailbreak

DeepSeek Activation Steering Enables Local LLM Jailbreak

ATLAS OWASP MEDIUM Moderate risk · Monitor closely ▲ 6.2 HN AI Security

Activation steering — the technique of directly manipulating LLM internal representations mid-inference to alter model behaviour — is becoming more accessible to non-lab engineers via local models like DeepSeek-V4-Flash. This democratisation lowers the barrier for adversaries to craft targeted behavioural overrides that bypass prompt-level safety controls. The emergence of first-class steering support in tools like DwarfStar 4 signals that model-internal manipulation is transitioning from academic curiosity to practical attack surface.

◉ 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.