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
The trust infrastructure layer for agentic AI
Test agent behavior against policy, generate audit-ready evidence, issue Trusted Agent Passports, and monitor runtime drift before risky agents reach production.
Built for AI platform teams, CISOs, compliance leaders, and regulated enterprises deploying autonomous agents.
CERTIFICATION SCORECARD
ClaimsOps Review Agent
92/100
PASSPORT
Active · monitored
Scope: claims triage. Drift: none.
CI/CD GATE
2 critical failures
Release blocked pending re-test.
THE GOVERNANCE GAP
Enterprises are deploying agents that can use tools, access data, call APIs, and make decisions. But most governance programs still rely on documentation, questionnaires, and one-time reviews. Policies say what agents should do, but they do not prove what agents actually do.
CATEGORY DIFFERENTIATION
Governance tools document intent. Security tools defend against attacks. AI Agent Certify proves whether agents behave within their certified scope.
HOW IT WORKS
Create an inventory of approved, experimental, and shadow AI agents.
Capture scope, permissions, data access, tools, policies, and prohibited behaviors.
Generate policy-grounded tests for real agent behavior and adversarial scenarios.
Run tests in isolated environments and collect evidence from real agent responses and tool calls.
Create a certification scorecard, risk summary, and compliance evidence package.
Issue a Trusted Agent Passport with scope, status, score, monitoring state, and revocation controls.
Continuously detect drift, violations, unsafe outputs, and risky tool use after deployment.
PRODUCT WORKFLOW
AI Agent Certify is designed around concrete operational artifacts: agent inventories, EvalSet evidence, certification scorecards, runtime events, CI/CD release decisions, and compliance exports.
AGENT INVENTORY
Approved, experimental, and shadow agents.
| Agent | Env | Owner | Status |
|---|---|---|---|
| ClaimsOps Review | Prod | Risk Ops | Certified |
| Support Resolution | Prod | CX | Monitored |
| HR Policy Assistant | Pilot | People | Review |
| Vendor Risk Agent | Sandbox | Procure | Testing |
| Finance Reconcile | Shadow | Finance | Unmanaged |
EVALSET RESULTS
| 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 |
CERTIFICATION SCORECARD
ClaimsOps Review Agent
92/100
RUNTIME MONITORING
$ agent-certify test --agent claims-review-agent
COMPLIANCE EXPORT
PLATFORM MODULES
Map approved, experimental, and shadow AI agents across teams, tools, environments, and workflows.
Convert internal AI policies, data boundaries, allowed actions, and prohibited behaviors into testable agent requirements.
Generate adversarial and compliance-focused EvalSets for each agent’s role, tools, permissions, and risk profile.
Test whether agents can be manipulated into ignoring instructions, leaking data, misusing tools, or bypassing policy controls.
Evaluate resistance to role-play attacks, policy override attempts, hidden instructions, and multi-turn manipulation.
Verify that agents respect customer data, internal records, jurisdictional limits, and least-privilege access rules.
Detect whether agents follow fake executive, admin, developer, regulator, or customer authority claims.
Measure whether agent decisions and responses remain consistent across protected attributes, customer types, and scenario variants.
Validate whether agents should trust, reject, or limit requests from other agents based on identity, scope, and credential status.
Detect when deployed agents behave differently after model, prompt, tool, policy, or data-source changes.
Generate structured evidence for governance reviews, procurement, customer assurance, internal audits, and EU AI Act readiness.
Issue a verifiable trust credential showing certification scope, policy version, monitoring status, risk score, and revocation state.
Block unsafe agent releases when critical behavioral, security, or compliance tests fail before deployment.
Suspend or revoke trust credentials when runtime monitoring detects drift, unsafe behavior, or policy violations.
TRUSTED AGENT PASSPORT
A Trusted Agent Passport gives internal teams, auditors, partners, and connected systems a simple way to verify whether an AI agent is certified, monitored, and operating within its approved scope.
Every certified agent receives a Trusted Agent Passport — a verifiable trust credential that proves its behavioral certification status, runtime monitoring state, approved scope, and revocation history.
The Trusted Agent Passport is not claimed as a universal industry standard. It is a verifiable trust credential generated and managed by AI Agent Certify for enterprise-controlled agent environments.
TRUSTED AGENT PASSPORT
COMPLIANCE EVIDENCE PACKAGE
Generate structured records for internal review, procurement, customer assurance, and EU AI Act readiness workflows.
COMPLIANCE EXPORT
COMPLIANCE EVIDENCE
AI Agent Certify helps governance teams move from policy claims to behavioral proof. Generate structured evidence for internal review, procurement, customer assurance, and EU AI Act readiness.
AI Agent Certify helps generate compliance evidence and operational controls. It does not replace legal counsel or regulatory approval.
RUNTIME TRUST
An agent can pass a test and still drift after a model update, prompt change, tool change, or new data source. AI Agent Certify monitors deployed agents continuously and can flag, suspend, or revoke trust credentials when behavior changes.
Prevent data leakage, unauthorized advice, policy violations, and unsafe tool use in banking and fintech agents.
Test tutoring, assessment, proctoring, and learner-support agents against academic and safety policies.
Monitor patient-facing and administrative AI agents for scope control, escalation, and safety evidence.
Certify customer-facing support, sales, workflow, and admin agents before production release.
Provide assurance workflows for high-risk AI deployments and contractor AI governance requirements.
Create a central trust layer for internal AI agents across risk, legal, compliance, and AI platform teams.
ENTERPRISE AI ASSURANCE
Book a demo to see how behavioral certification, compliance evidence, monitoring, and Trusted Agent Passports work together.