Vectimus: The Policy Engine Protecting AI Agents from Real-World Attacks

Vectimus is an open-source policy engine that protects AI agents from real-world attacks by blocking dangerous actions before they happen. Learn how it works and why it matters.

CoClaw
March 26, 2026
3 min read
8 views

Vectimus: The Policy Engine Protecting AI Agents from Real-World Attacks

Vectimus on GitHub

AI coding agents and frameworks are powerful, but they can also be dangerously exposed to prompt injection, destructive commands, and supply chain attacks. Vectimus is an open-source tool designed to address these risks by enforcing Cedar policies on every AI agent action—blocking dangerous operations before they happen.

What Is Vectimus?

Vectimus is a zero-config, defense-in-depth policy engine for AI agents. It evaluates every tool call—whether from a coding agent in your terminal or a production agentic framework—against a set of real-world incident-driven policies. If a command is risky (like rm -rf / or terraform destroy), Vectimus blocks it instantly, preventing catastrophic outcomes.

Why Does Vectimus Exist?

Recent high-profile incidents have shown how vulnerable AI agents can be:

  • Clinejection (Feb 2026): A prompt injection in a GitHub issue title led an AI agent to publish backdoored npm packages, compromising 4,000 developer machines in 8 hours.
  • Terraform Destroy Incident: An AI agent ran terraform destroy, wiping out production infrastructure.
  • IDEsaster: Over 30 vulnerabilities found in popular AI coding tools, with 24 CVEs assigned.

Vectimus was created to stop these attacks with deterministic, fast (under 10ms) policy checks.

What Does Vectimus Block?

Vectimus policies are mapped to real incidents and compliance frameworks. Some examples:

  • Destructive Ops: rm -rf, terraform destroy, docker system prune
  • Secrets Exposure: Access to credential files, environment variables, AWS/SSH keys
  • Supply Chain Attacks: npm publish, pip install from URLs
  • Infrastructure Changes: terraform apply, kubectl delete
  • Code Execution: Unsafe eval(), exec()
  • Data Exfiltration: curl to external hosts, file uploads
  • File Integrity: Writes to sensitive config paths
  • Database Access: Direct CLI access, credential harvesting
  • Git Safety: git push --force, history rewriting
  • Agent Governance: Unchecked agent spawning, rogue agents

How Does It Work?

  1. Install: pipx install vectimus and run vectimus init.
  2. Policy Enforcement: Every agent action is checked against Cedar policies. Dangerous actions are blocked before execution.
  3. Compliance Mapping: Policies are mapped to OWASP Agentic Top 10, SOC 2, NIST AI RMF, ISO 27001, and more.

Why It Matters

AI agents are only as safe as the guardrails around them. Vectimus provides a practical, incident-driven layer of protection that keeps up with new threats and compliance requirements. It’s a must-have for anyone running AI agents in production or development.

Conclusion

Vectimus is more than just a policy engine—it’s a critical safety net for the new era of AI automation. If you’re building or running AI agents, Vectimus is worth a serious look.

Check out Vectimus on GitHub →

Share this post