Analysis · curated 18 Sep 2026
The Hacker's Guide to Attacking AI Agents
First reported substack.com
Coverage timeline
Single-source analysis — first reported, latest, and curated coincide.
Why it matters
The guide gives defenders and red-teamers a structured framework for reasoning about agentic AI attack surface, autonomy levels, and the controls that meaningfully reduce risk.
"The Hacker's Guide to Attacking AI Agents" is a practical methodology guide for assessing the security of agentic AI systems, covering how to model the target, the attack classes that let an attacker reach through the model to real data and actions, the controls that stop them, and how to run an engagement end to end. The piece emphasizes attacks that produce real compromise (data taken, actions performed, systems touched) over mere model misbehavior, and frames the attack surface by a deployment's degree of autonomy.