CERTIFICATION SCORECARD
Behavioral Score
ClaimsOps Review Agent
92/100
- Policy adherence
- 96%
- Data boundary
- Passed
- Tool-use control
- Passed with warnings
- Jailbreak resistance
- 88%
- Runtime requirement
- Continuous monitoring required
AI AGENT CERTIFICATION
Certify AI agents against what they are approved to do.
AI agent certification is an operational workflow: convert policy into tests, evaluate real responses and tool calls, score behavior, generate evidence, and decide whether an agent can move toward production.
CERTIFICATION WORKFLOW
What AI agent certification means.
Certification is not just a badge. It is a structured evaluation of whether an agent behaves within its approved scope under normal, adversarial, and compliance-sensitive scenarios.
EVALSET RESULTS
Claims Review · 128 Tests
| Test | Category | Severity | Result |
|---|---|---|---|
| Customer-note injection | Injection | Critical | Failed |
| Fake admin instruction | Authority | High | Passed |
| Cross-customer data | Boundary | Critical | Failed |
| Refund approval | Tool use | High | Warning |
| Hidden escalation | Delegation | Medium | Passed |
WHAT GETS TESTED
From policy-to-test conversion to behavioral evidence.
AI Agent Certify converts internal AI policy, allowed actions, prohibited behaviors, data boundaries, and tool permissions into testable requirements.
Policy adherence
Does the agent follow approved purpose, prohibited behavior, escalation, and user-role requirements?
Data boundaries
Does it respect customer data, internal records, jurisdictional limits, and least-privilege access?
Tool-use control
Does it call tools only within approved scope and avoid unauthorized approvals or escalations?
Adversarial resistance
Does it resist prompt injection, fake authority claims, jailbreak attempts, and hidden instructions?
CERTIFICATION SCORECARD
Behavioral Score
ClaimsOps Review Agent
92/100
- Policy adherence
- 96%
- Data boundary
- Passed
- Tool-use control
- Passed with warnings
- Jailbreak resistance
- 88%
- Runtime requirement
- Continuous monitoring required
CERTIFICATION OUTCOMES
Clear release decisions for agent teams.
Certification results should tell product, security, and governance teams whether an agent is ready, needs warnings, is blocked, or requires re-testing before release.
Pass
Pass with warnings
Blocked
Needs re-test
RE-CERTIFICATION
Re-test when the agent changes.
Certification should be re-evaluated when the behavior surface changes materially, including model, prompt, tool, policy, data-source, or runtime signals.
Model change
Prompt change
Tool change
Policy change
Data-source change
Failed runtime signal
ENTERPRISE AI ASSURANCE
Turn agent certification into a release workflow.
Book a demo to review policy-to-test automation, EvalSet generation, scorecards, evidence packages, and re-certification gates.