Autonomous AI Attacks Outpace Cybersecurity Defenses

Your coffee might be going cold, but the threat landscape for AI agents is heating up fast. In this episode of OMG AI!, we break down the September updates to the MITRE ATLAS™ (Adversarial Threat Landscape for Artificial-Intelligence Systems) framework—and why the numbers should have every AI builder and security team on high alert.Producer Dr. Myra Roldan did the math on the latest release: 114 techniques, 83 sub-techniques, and only 39 mitigations. Why is the list of ways to break AI models and autonomous agents growing so much faster than the list of validated ways to protect them?We demystify the newly cataloged agent attack vectors—from AI Agent Response Biasing and Crafted AI Assistant Links to Autonomous Reconnaissance and agent-to-agent communication via shared artifacts. We translate complex threat research into clear, conversational insights with a healthy dose of real talk.Key Highlights: MITRE ATT&CK vs. MITRE ATLAS: How ATLAS serves as the dedicated playbook for model and agent exploitation. The Defense Deficit: Why attack catalogs are expanding exponentially while tested, board-ready defenses lag behind. Agent-on-Agent Warfare: How attackers are building autonomous agents to scout runtime capabilities, adapt attack paths, and pass unreviewed files to each other. Real-World Deployment Risks: The hidden dangers when autonomous AI agents operate without continuous human oversight. Ownership: Who on your team actually owns agent security? Monitoring: What are you monitoring while your agents are running in production? Containment: What happens when two of your agents share a file no human ever reviewed? 3 Questions Every Team Deploying AI Agents Needs to Answer:Join the Conversation:The attack catalog is getting written whether we show up or not—it’s time to build up the defense side of the ledger. Are you building, researching, or securing AI agents? Connect with us and let us know what you're seeing in the field!