Certification · · 6 min read
What Is AI Agent Certification?
Learn how AI agent certification turns policy, safety, security, and compliance requirements into behavioral proof for autonomous AI agents.
AI Agent Certification Proves Behavior, Not Intent.
AI agent certification is a structured process for testing whether an autonomous agent behaves within its approved scope. It evaluates how the agent responds to policies, tool permissions, data boundaries, prohibited actions, and adversarial conditions.
Why Agent Certification Differs From Model Review.
Model reviews often focus on a foundation model or application risk summary. Agent certification focuses on the deployed system that uses prompts, tools, memory, APIs, and decision flows. That makes behavioral proof more important than a static model card.
What certification should produce.
- Policy-grounded EvalSets.
- Behavioral scorecards.
- Explainable findings.
- Compliance evidence packages.
- A current trust status for production use.
AI Agent Certify turns certification into an operational workflow connected to runtime monitoring and the Trusted Agent Passport.