Commissioned by Kiteworks
Start by defining each agent’s task, limiting its data access and deciding which actions need human approval. Keep records of access and decisions. Plan how to revoke access and how to shut down the running agent, then test both. Effective governance combines clear responsibilities with controls you can actually enforce.
Start with agents in production and pilots, comparing their reachable data with what each assigned task requires. Narrow excess permissions. Kiteworks calls tying access to an authorized task and data purpose binding. Identify which limits the data platform enforces and which need controls in connected systems. Monitoring can reveal a problem without preventing it, so pair visibility with enforceable restrictions.
Place checkpoints before payments, exports or commitments where approval is needed, and verify that execution waits for the decision. Kiteworks describes Compliant AI as enforcing policy on governed data requests; ask which workflow controls and shutdown mechanisms you must supply separately. Use a non-production agent to test access denial and runtime termination, keeping audit records available. Published product descriptions do not guarantee containment or deployment compliance.
Put this into practice
- Compare each agent’s permissions with its assigned task.
- Test that consequential actions wait for human approval.
- Test access denial and runtime shutdown separately, preserving both results.
