Commissioned by Kiteworks
Audit AI agent activity

Inside the CTRL Vault · not a film still

Audit AI agent activity

How can organizations audit AI agent activity?

Keep a record that connects the agent, its authorizer, the data, the action, the decision and the time.

Keep records that show which agent requested which data, who authorized it, what it tried to do, whether access was allowed and when it happened. Include denied requests and make changes to the records detectable. Connect those records to your security monitoring, and check that they cover the workflow you need to investigate.

Infrastructure and model logs may leave out the data or authorization behind an action. Create access records during the event so later investigation has the original evidence to examine. Later reconstruction does not replace those records. Kiteworks describes attributed, tamper-evident data-access records and discusses protections such as cryptographic chaining and write-once storage. Tamper-evident means changes can be detected; it does not mean records can never be modified.

Verify retention and integrity controls, then check that structured records reach your security monitoring, are parsed correctly and support the intended alerts. Kiteworks describes integration with security information and event management systems. Confirm which events the integration delivers for your workflow, including denied requests. Integration alone does not promise immediate detection or a particular response time, and published descriptions do not establish deployment compliance.

Put this into practice

  • Inspect allowed and denied events for agent, authorizer, data, operation, decision and time.
  • Verify log integrity and retention.
  • Test event delivery, parsing and alert rules.

Sources

Bring it to a demo

See the controls in your workflow.

Bring one AI task and the data it needs. Ask Kiteworks to show what is allowed, what is denied and the record of each decision.