The Trust Problem Hiding in Your Automated Pipeline
The moment you give an AI agent the ability to act — clone, configure, execute — you've created a trust boundary that most teams haven't thought through yet.
What Happened
Researchers showed that a GitHub repository can look completely clean to static scanners, human reviewers, and AI coding agents, while still carrying a malicious payload that fires during the normal setup workflow. The attack doesn't need to trick a human into running something suspicious. It just needs the agentic tool to do what it was designed to do: autonomously clone a repo and get it running.
That's the whole attack surface. The agent's competence is the vulnerability.
