AI Verify is an AI governance testing framework and toolkit, not a standalone binding regulation.
Official sources
What AI Verify is trying to do
AI Verify helps organizations assess AI systems against governance and testing themes such as transparency, explainability, robustness, fairness, safety, accountability, and human oversight. It is useful for vendor AI because buyers need evidence about models they did not build.
What teams need to do
- Inventory AI use cases and third-party AI providers.
- Classify use cases by impact, data sensitivity, autonomy, and human oversight.
- Collect provider evidence on governance, testing, data use, security, privacy, and monitoring.
- Track model changes, incidents, drift, and provider terms.
Evidence to maintain
- AI use-case and provider inventory.
- Risk classification and human oversight records.
- Testing and governance evidence.
- Contracts covering data use, model changes, incidents, and subcontractors.
- Monitoring, issues, and approvals.
Common gaps
- Embedded AI features are not captured in vendor reviews.
- Provider evidence does not explain data use or model updates.
- Human oversight is described but not assigned to an owner.
How Halbarad helps
Halbarad helps teams track AI providers, use cases, data access, evidence, downstream providers, changes, incidents, issues, and approvals.
Disclaimer
This guide is for general information only and is not legal advice. Review the official regulation, guidance, and supervisory materials, and consult qualified counsel or compliance advisors for your organization's specific obligations.