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MEDIUM OpenAI Lean Proof Mistranslation Exposes AI Verification Risk // HIGH Grok Bot AI Agent Leaks Personal Bank Data to Company Slack // HIGH Iran Used ChatGPT to Plant Fake Articles in US Publications // CRITICAL ARTEX AI and Claude Agents Weaponised in Korean Bank Attacks // HIGH Anthropic AI Agents Bypass Isolation Controls, Access Live Internet // FIRST LOOK Anthropic AI Agents Submit Visa Forms on State Dept Site // HIGH Anthropic AI Agents Exploit Gov Sites via Reward Hacking // HIGH Anthropic AI Agent Submits False Homicide Tip to Police Tipline // MEDIUM OpenAI Fires Safety Researchers Over Sensitive Data Dispute // FIRST LOOK Token Security Adds Enforcement Controls for AI Agent Permissions //
SUPPLY CHAIN

Supply Chain

ML supply chain attacks — malicious model weights on HuggingFace, poisoned pip packages, compromised training pipelines. Mapped to MITRE ATLAS AML.T0010 and OWASP LLM05.

184 reports
All LLM Security Agentic AI Industry News Research First Look: Security Supply Chain Prompt Injection Regulatory Adversarial ML Jailbreaks Model Theft Data Poisoning Deep Signal Intelligence Report Monthly Review AI Governance AI Security AI Security Tools Identity & Access Management Security Operations
AI Browser Extensions 60% Riskier Than Standard Tools

AI Browser Extensions 60% Riskier Than Standard Tools

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 7.5 The Hacker News

A LayerX report reveals that AI browser extensions represent a largely unmonitored attack surface in enterprise environments, with 1-in-6 enterprise users already running at least one AI extension. These extensions are statistically riskier than standard extensions — 60% more likely to carry a CVE, 3x more likely to access cookies, and capable of exfiltrating sensitive data without triggering DLP or SaaS monitoring controls. The finding highlights a critical governance gap in AI consumption channels that bypasses traditional enterprise security tooling.

botctl Process Manager Enables Prompt Injection Attacks

botctl Process Manager Enables Prompt Injection Attacks

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 7.2 HN AI Security

botctl is an open-source process manager that enables persistent, autonomous AI agents (currently Claude-backed) to run continuously as background daemons with tool access, file system write permissions, and internet connectivity. While marketed as a productivity tool, the architecture introduces substantial attack surface through unattended agentic execution, a skills marketplace with third-party prompt injection, and a locally-exposed web dashboard. The combination of persistent autonomy, extensible skill modules from arbitrary GitHub repositories, and session memory creates compounding risk vectors relevant to agentic AI security.

GitHub Supply Chain Attacks via PRT-scan Campaign

GitHub Supply Chain Attacks via PRT-scan Campaign

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 7.5 Dark Reading

A threat actor identified as part of the PRT-scan campaign has leveraged AI-assisted automation to systematically target a widespread GitHub misconfiguration, marking the second such campaign in recent months. The use of AI for automated reconnaissance and exploitation of supply chain vulnerabilities represents a significant escalation in attacker capability. This campaign highlights the growing risk of AI-augmented attacks against software supply chains, which can have cascading downstream effects on ML pipelines and production systems.

Claude Source Code Leak Reveals AI Supply Chain Risk

Claude Source Code Leak Reveals AI Supply Chain Risk

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

A reported source code leak affecting Claude, Anthropic's large language model, underscores systemic weaknesses in AI software supply chains and the absence of robust oversight mechanisms at critical development and distribution layers. The incident highlights how proprietary model code, training pipelines, and system prompts can become high-value targets for adversarial actors seeking to enable model theft, backdoor insertion, or competitive intelligence gathering. This event serves as a broader warning about treating AI development infrastructure with the same rigor applied to other critical systems.

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