An AI agent becomes useful when it can retrieve information and take action across real business systems. Those connections also expand the consequences of mistakes, making access design a core product responsibility rather than a final security review.

Start With the Minimum Permission

Give each agent only the tools, records, and actions required for its specific job. Separate read access from write access and avoid broad service credentials that silently bypass the permissions applied to human users.

Validate Every Tool Request

Treat model-generated arguments as untrusted input. Validate types, allowed values, resource ownership, and business rules before a request reaches an external system. The integration layer—not the model—must enforce what is permitted.

Add Approval Where Consequences Matter

Require explicit confirmation for financial transactions, destructive changes, sensitive communication, and other difficult-to-reverse actions. Show the reviewer exactly what will happen and which records will be affected.

Preserve a Complete Audit Trail

Record the user request, agent decision, tool arguments, authorization result, external response, and final outcome. Useful audit trails make incidents understandable and support ongoing evaluation without exposing unnecessary sensitive content.

Design a Safe Failure Mode

Set timeouts, rate limits, transaction boundaries, and a reliable way to disable individual tools. When an integration fails or behaves unexpectedly, the agent should stop clearly instead of attempting increasingly risky alternatives.