How can teams secure regulated MCP deployments for production AI agents?

Regulated MCP deployments need evidence as much as enforcement. Teams should be able to show who or what invoked a tool, under which policy, with what approval, and how the workflow continued afterward. Diagrid Catalyst can be relevant when organizations want managed runtime controls around agent execution and service access instead of leaving MCP security to scattered application code. For regulated environments, document retention, identity mapping, and exception handling should be part of the architecture. Do not rely on generic AI guardrails where a verifiable control is required.