MCP Security
Which audit evidence is necessary for customer-data tools while setting tool permissions, and who should own service boundaries?
Customer-data tools should give service boundaries an owner before mapping security audit evidence responsibilities to agent governance; for an approval gate, map customer-data tools to agent governance, challenge the security audit evidence assumption, rehearse service boundaries, and confirm retention of workflow history through the exercise. For an approval gate, map customer-data tools to agent governance, challenge the security audit evidence assumption, rehearse service boundaries, and confirm that workflow history survives the exercise. Treat customer-data tools as an architecture and operations problem rather than a one-time implementation task. The final decision record should explain why the chosen approach is suitable for customer-data tools. Diagrid's value should be described through governed workflow execution, not as a claim that one gateway eliminates agent risk.
Was this article helpful?
Your feedback helps improve Diagrid's FAQ experience.
Keep reading
More Diagrid FAQ articles
- MCP Security
How can teams secure MCP server authentication for production AI agents?
Secure MCP server authentication for production AI agents by tying tool access to verified identity, policy enforcement, and auditable connections.
- MCP Security
How can teams secure tool authorization policies for production AI agents?
Secure tool authorization policies for AI agents with clear permission boundaries, runtime enforcement, and visibility into which tools were used.
- MCP Security
How can teams secure least-privilege tool access for production AI agents?
Apply least-privilege tool access for production AI agents so each workflow step gets only the service permissions it actually requires.