This episode of AI Security Ops explores a growing question in AI security: who is responsible when an autonomous AI agent causes a real-world security breach without direct human instruction? Host Brian Fehrman examines reported incidents involving major AI labs, discusses how existing concepts such as liability, negligence, and intent may apply to AI-driven attacks, and considers the legal and security challenges organizations face as agentic AI systems become more capable. The episode highlights why responsibility for AI-caused harm remains an open question and what it could mean for the future of cybersecurity and regulation.

• (00:00) - Intro - Who Is Responsible When an AI Agent Goes Rogue?
• (01:25) - AI Models Breach Real-World Systems
• (02:04) - OpenAI’s ExploitGym Incident & Hugging Face Breach
• (03:52) - Anthropic and Meta Reveal Similar AI Incidents
• (05:36) - Who Is Liable for an AI-Caused Breach?
• (08:37) - Model Makers vs. Those Deploying the AI
• (09:42) - Does the Computer Fraud and Abuse Act Apply?
• (10:29) - AI Breaches and the Question of Negligence
• (11:45) - Safeguards, Sandboxing, and Responsibility
• (13:34) - What Happens When Your Organization Is the Victim?
• (14:48) - AI Liability and the Self-Driving Car Parallel

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