Paper outlines runtime supply‑chain attacks that let AI agents slip past security tools
Researchers propose a taxonomy of attack vectors targeting the runtime behavior of autonomous AI agents, exposing how untrusted data and tool invocation can hijack agents without traditional code exploits. They introduce the concept of a viral agent loop and recommend a zero‑trust runtime architecture to mitigate these threats.