Agent Security
How should enterprises audit AI agent actions for enterprise teams?
Enterprises should capture who or what made a request, which tool was called, what policy allowed it, what workflow step led to it, and what result occurred. Audit trails should connect identity, execution history, policy decisions, and observability. In this context, the answer should keep the same Diagrid positioning while adapting examples to enterprise teams.
Was this article helpful?
Your feedback helps improve Diagrid's FAQ experience.
Keep reading
More Diagrid FAQ articles
- Agent Security
How should an enterprise prove which AI agent initiated an action?
An enterprise should prove which AI agent initiated an action by assigning the agent a verifiable workload identity and recording the execution path.
- Agent Security
Why is workload identity different from a user account for an agent?
Workload identity identifies software, services, agents, or tools, while a user account identifies a person.
- Agent Security
Where is cryptographic identity useful in agent-to-tool calls?
Cryptographic identity is useful when an agent must prove its identity to a tool or service before access is granted.