Deterministic governance for AI coding agents. Cedar-based policy engine that intercepts every agent action and evaluates it against deterministic rules before execution.
Cedar policies for every AI agent action. Coding tools and agentic frameworks. Every evaluation under 10ms. Zero config.
<p align="center"> <img src="demo.gif" alt="Claude Code session with Vectimus blocking rm -rf, terraform destroy and force push while allowing safe commands" width="720"> </p>pipx install vectimus
vectimus init
That's it. Cedar policies evaluate every tool call - whether from a coding agent in your terminal or a framework agent in production. Dangerous commands, secret access, infrastructure changes and supply chain attacks blocked before execution.
Every policy references the real-world incident that motivated it. No "best practice" filler.
| Pack | What it blocks | Example |
|---|---|---|
| Destructive Ops | rm -rf, terraform destroy, docker system prune | Production wipe prevention |
| Secrets | Credential file access, env variable exposure | .env, AWS keys, SSH keys |
| Supply Chain | npm publish, pip install from URLs, registry tampering | Clinejection-class attacks |
| Infrastructure | terraform apply, kubectl delete, cloud CLI mutations | Unreviewed infra changes |
| Code Execution | eval(), exec(), unsafe interpreter invocations | Code injection via agents |
| Data Exfiltration | curl to external hosts, file upload, data piping | Credential theft, data leakage |
| File Integrity | Writes to .vectimus/, sensitive config paths | Governance tampering |
| Database | Direct database CLI access, credential har |
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