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AI agents can act across your business.

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But who decides what they are authorized to do?

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Capability alone is not permission.

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Imagine an agent requesting to publish a company update.

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Its request approaches a boundary before execution.

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First, identity.

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Which agent is making the request?

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Next, scope.

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Is this action within its assigned purpose?

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Then, policy.

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Which rules govern this request?

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Finally, evidence.

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Are the required conditions supported?

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Allow an authorized request.

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Halt when required evidence is missing.

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Deny an action outside its authority.

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Or escalate for a human decision.

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Only the allowed example proceeds across the execution
boundary.

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Authorization is one event.

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The execution result is another.

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A readable receipt connects the request, authority, policy
version, decision, and reported result.

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Structured data supports inspection.

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Unknown results remain unknown.

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Our public simulation demonstrates bounded rule evaluation
with fictional inputs.

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It does not establish production enforcement.

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MilliAIre Control Plane.

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Authority before execution.
