The rapid integration of AI code agents tools like Claude, Codex, and various internal LLM deployments into our development workflow promises unparalleled productivity. These agents, capable of reading, analyzing, and modifying complex codebases, are revolutionizing how we build software.

However, this power comes with a critical security question: How do you prevent an autonomous, powerful AI agent from looking at your secrets, reading unrelated projects, or even accessing sensitive files outside the scope of the project you asked it to work on?