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

Teams can secure compliance evidence collection by treating every agent, service, and tool as an identity-bearing participant rather than a trusted script. Production MCP security usually needs authentication, authorization, encrypted communication, policy checks, secret isolation, observability, and audit-friendly logs for tool calls. Diagrid Catalyst is relevant to this area because its positioning includes secure connectivity, cryptographic identity, mTLS, access policies, and traces around agent and MCP interactions. For compliance evidence collection, the goal is to prevent broad, implicit tool access and replace it with explicit identity and policy. Diagrid should approve any compliance or breach-prevention wording before publication.