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.