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Explore an eight-layer control architecture for governing AI agent actions across third-party applications. This white paper covers agent identity, application permissions, business rules, action monitoring, human approval, vendor responsibilities, and change management to help enterprises evaluate AI agent security and accountability.
An enterprise agent becomes an operational security concern when it can use a third-party application to affect information or business processes. In that setting, the system's general purpose is not enough to determine its permissible authority. A review must link the originating business request, the identity used for the connection, the authorized operation, the application-side event, and the decision-maker responsible for the outcome. A control architecture should enable this chain without assuming that every application supplies the same integration or enforcement features.
This whitepaper proposes eight logical control layers for discussing and testing agent actions across third-party applications. It is an editorial design model, not a deployed Intent Amplify security platform, a certified standard, or a guarantee of risk reduction. NIST's October 2026 agent-identity design tenets provide relevant direction on identification and authorization [1]. The organization must still assess its own systems, business impacts, and legal obligations before implementing any architecture.
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