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How can teams secure compliance evidence collection for production AI agents?

How can teams secure compliance evidence collection for production AI agents?
Compliance evidence collection should happen as the workflow runs, not after someone reconstructs the story from logs. Production AI agents should record tool calls, approvals, policy decisions, state transitions, and recovery actions. Diagrid Catalyst can support this by making durable agent workflows and service interactions more visible in an operational platform. Teams should decide which evidence is stored, how long it is retained, and who can view it. The evidence trail should be specific enough for audit without copying sensitive payloads unnecessarily.

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