LIVE FEED
FIRST LOOK arXiv Research Introduces Self-Evolving Procedural Graphs for LLM Agents // HIGH Chinese AI Firms Accused of Distilling OpenAI and Anthropic Models // HIGH Workflow Identity Hijacking Targets Enterprise AI Data Access // CRITICAL AI-Accelerated WeChat Zero-Click Worm Spreads via RCE // FIRST LOOK Microsoft Uses AI to Ship Record 974-Vulnerability Patch Batch // FIRST LOOK Meta Launches Muse Personal AI Agent with Secure VM Isolation // CRITICAL ChatGPT Cross-Account Data Leakage via Sandbox Channel // HIGH Hidden Prompt Injection Attacks Hijack Autonomous AI Agents // FIRST LOOK Schneier and Raghavan Frame AI Agent Risk as a Genie Problem // HIGH ChatGPT Prompt Injection Exfiltrates Gmail Data via Hidden Channel //
KUBERNETES

Kubernetes

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LiteLLM PyPI Poisoning Exposes 2,500+ Orgs via CI Secrets

LiteLLM PyPI Poisoning Exposes 2,500+ Orgs via CI Secrets

ATLAS OWASP CRITICAL Active exploitation · Immediate action required ▲ 9.1 The Hacker News

Two malicious LiteLLM releases (versions 1.82.7 and 1.82.8) were uploaded to PyPI on March 24 and remained live for approximately 40 minutes, carrying credential-stealing code that harvested cloud keys, SSH keys, Kubernetes tokens, and database passwords. CloudSEK's analysis of roughly 434,000 captured files maps potential exposure to more than 2,500 organisations, including NVIDIA, Cisco, and Siemens, though the dataset reflects files taken rather than confirmed misuse. The FBI has separately warned that affiliated actors are likely to weaponise exfiltrated credentials long after the initial compromise, making immediate secret rotation critical regardless of confirmed exploitation.

Excessive Agency in Deno AI Agents Demands Security Controls

Excessive Agency in Deno AI Agents Demands Security Controls

ATLAS OWASP MEDIUM Moderate risk · Monitor closely ▲ 6.5 HN AI Security

Deno has released Claw Patrol, an open-source security firewall designed to sit between AI agents and production systems, intercepting and policy-gating actions before they reach critical infrastructure. The tool addresses the growing threat of excessive agency in agentic AI systems by allowing operators to write HCL rules that can block destructive operations or require human approval for sensitive actions like Kubernetes pod deletions. This represents a practical defensive tooling response to the OWASP LLM08 Excessive Agency risk, which has become increasingly acute as autonomous agents gain broader access to production environments.

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