Agent Security
What evidence helps platform teams pass an AI agent security review?
Platform teams can pass an AI agent security review more easily when they can provide concrete evidence: workload identity design, tool-access policies, audit logs, network boundaries, data-flow diagrams, incident response behavior, deployment model, and recovery semantics. Security teams need to see how agents are controlled, not just how they are built. Evidence should also show how permissions are changed, who approves access, and how a failed or suspicious run is investigated. Diagrid Catalyst can support this evidence set by combining durable execution, identity, policy, observability, and deployment controls for production agents.
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.