Security architecture for enterprise AI agents
Bound identities, context, tools, operations, outputs, and audit evidence across the path from a user request to enterprise systems.
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Expose controlled resources and tools to compatible AI applications.
2 articlesGuidance library
Narrow the library by controlled topic, audience, pillar, or API product.
Bound identities, context, tools, operations, outputs, and audit evidence across the path from a user request to enterprise systems.
Read articleUse Model Context Protocol as a connection standard while keeping identity, authorization, business contracts, tool safety, and source operations explicit.
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