AI agents can access sensitive data, call tools, and take action across business systems. For CISOs and GRC teams, evaluating AI governance means checking which controls vendors enforce and what evidence they provide.
This whitepaper introduces AISquared’s seven-layer AI Controls Framework, with practical questions for assessing enterprise AI governance and examples of how UNIFI applies these controls.
Download This Whitepaper to Learn
- Evaluate AI governance vendors: Ask specific questions about access controls, data handling, policy enforcement, and audit trails.
- Assess AI agent security: Check how vendors scope permissions, block actions that break policy, and route decisions for human approval.
- Review control evidence: Know which logs, data lineage records, policy versions, and monitoring reports to request.
- Explore ISO/IEC 42001 readiness: Understand how AI controls can support your AI management system.
- Examine AI risk management: Review evidence considerations for cyber insurance and bank model risk management under SR 26-2.
- See UNIFI’s approach: Learn how AISquared maps its enterprise AI control plane to the seven control layers.
A Practical AI Governance Vendor Checklist
Spot control gaps, question unsupported claims, and compare AI governance vendors using clear evidence criteria. The checklist outlines what to ask, which proof to request, and which warning signs to flag before choosing or renewing a vendor.
Download the Guide
Get a practical framework for assessing AI governance, AI agent security, and control evidence.
