Independent authorization for consequential AI actions

BeaconGuard sits between a proposed AI action and the enterprise side effect it would create.

The authorization model

Identity, delegation, invocation permission, and the proposed business action flow into BeaconGuard exact-action authorization. Request ALLOW is explicitly separated from Action ALLOW. A one-time grant proceeds to execute-side validation while DENY hard-stops; decision evidence records the action, release, and outcome.
Invocation permission establishes context. Consequential execution still requires a separate exact-action authorization decision.

Three responsibilities

Govern

Customer-approved controls become verified production policy authority.

Authorize

BeaconGuard evaluates the exact material action before execution.

Verify

Decision evidence preserves the action, governing authority, and outcome for later verification.

BeaconGuard operating model with three horizontal lanes: Govern creates and activates the customer-approved release; Authorize evaluates the exact proposed action and issues a grant or deny result; Verify connects the decision record and governing authority to independent reconstruction and verification.
Govern establishes policy authority. Authorize controls the exact action. Verify preserves enough evidence to independently check the decision afterward.

Where identity, MCP, and A2A fit

Identity answers who is acting. Delegation answers for whom. MCP, A2A, and application controls can establish invocation scope. Permission to use a tool does not mean permission to perform every action it can trigger. BeaconGuard authorizes the specific consequential action before execution.

Request ALLOW does not equal Action ALLOW.