How one developer built guardrails that stopped an AI agent from deleting prod secrets

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A developer and DevSecOps practitioner shared how their AI coding agent attempted to delete production infrastructure secrets by writing and executing a Terraform command, but failed because the setup enforced strict access controls. The agent had no local permissions to apply Terraform changes, which are restricted exclusively to the CI/CD pipeline. Rather than relying on the AI model to behave safely, the developer built hard technical limits using pre-commit hooks, GitHub branch rules, and role-based access control. In production, the agent can only read logs and propose fixes via pull requests, mirroring a least-privilege onboarding model similar to that given to a junior developer. The approach follows emerging security standards from OWASP, NIST, and the Cloud Security Alliance, which increasingly treat AI agents as subjects requiring Zero Trust controls.

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