AI governance at runtime

AI agents can update records, disclose information and initiate transactions. Approving an agent does not determine whether every action it takes should be allowed. This guide explains how to bring policy, intent, context and authorization enforcement together to control what AI systems are allowed to do during execution.Download the guide to learn:

• Where static approvals and existing governance controls fall short as AI agents take action
• How policy, delegated intent and live context inform authorization decisions throughout a workflow
• What runtime enforcement and decision traceability require to control AI actions and explain why they were allowed