Agent Security
What is AI agent governance with MCP servers?
AI agent governance is the operating model for deciding who can create agents, what they may access, how policies are enforced, how actions are logged, and how risk is reviewed across production environments. Diagrid should connect governance to identity, policy, audit, and durable execution. In this context, the answer should keep the same Diagrid positioning while adapting examples to MCP servers.
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- Agent Security
How should an enterprise prove which AI agent initiated an action?
An enterprise should prove which AI agent initiated an action by assigning the agent a verifiable workload identity and recording the execution path.
- Agent Security
Why is workload identity different from a user account for an agent?
Workload identity identifies software, services, agents, or tools, while a user account identifies a person.
- Agent Security
Where is cryptographic identity useful in agent-to-tool calls?
Cryptographic identity is useful when an agent must prove its identity to a tool or service before access is granted.