MCP Security
How can teams secure sensitive data tools for production AI agents?
Sensitive data tools require stronger boundaries because a wrong call can expose or alter information that the model should not freely access. Teams should combine scoped credentials, policy checks, approval gates, logging, and data minimization. Diagrid Catalyst may help by putting secure service invocation and durable workflow state around agent execution, making sensitive steps more traceable. A good design should distinguish read-only lookup, data export, update, and deletion actions. Each tier deserves a different permission level and a different review path.
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