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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 //
LLM-JAILBREAK

Llm-Jailbreak

2 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
PhantomRaven: LLM-Generated Info Stealer Built for Bug Bounty

PhantomRaven: LLM-Generated Info Stealer Built for Bug Bounty

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 8.2 CrowdStrike Blog

CrowdStrike has identified PhantomRaven, an information stealer developed using large language models and framed under the guise of bug bounty hunting, highlighting the growing abuse of AI code generation for malware development. The case demonstrates how LLMs can be leveraged to lower the technical barrier for building functional credential-stealing tools. This development signals a significant shift in the threat landscape where AI-assisted malware authorship is becoming operationally viable for a wider range of actors.

Check Point 2026 AI Security Report: LLMs Now Run Live Attacks

Check Point 2026 AI Security Report: LLMs Now Run Live Attacks

ATLAS OWASP CRITICAL Active exploitation · Immediate action required ▲ 9.2 Check Point Research

Check Point Research's 2026 AI Security Report documents a fundamental shift in the threat landscape: AI has moved from a development accelerator to an active operator within live intrusions, with nation-state and criminal actors alike deploying LLMs to conduct hands-on attack operations. The report highlights the maturation of AI-enabled criminal tooling markets, the rise of indirect prompt injection as an operationally relevant attack vector, and persistent enterprise data leakage through unsanctioned AI application use. Agentic architectures are being specifically exploited through planted configuration files that persist malicious instructions across sessions, representing a durable and largely invisible bypass technique.

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