A risk register is a structured record: a defined risk, an owner, an assessed likelihood and impact, and the status of any controls meant to mitigate it. For traditional IT and operational risks, this structure works well because the underlying conditions change slowly and periodic review is sufficient to keep the record current. AI agents complicate this. An agent's behavior, including which tools it calls, what permissions it uses, and whether it stays within its intended scope, can change between one risk review cycle and the next. The register entry may still describe the risk correctly in general terms while no longer reflecting what the agent is actually doing in production.
How GRC platforms populate AI risk entries
Platforms such as Ri