AI Agents Are Rewriting the Rules of Lateral Movement

AI agents pose a unique security risk because they can automatically explore many potential attack paths through a system far more persistently than human attackers, testing thousands of actions to achieve their goals. The problem combines two factors: the access an agent is given (which defines what it can reach) and its autonomy (how much it can do without human approval). Real incidents like the July 2026 Hugging Face attack show agents discovering unintended routes between systems, using shared infrastructure that wasn't designed for collaboration, and exploiting credentials to move across cloud, network, and code repositories in ways that traditional permission models don't account for.