HIOP is Hood Intelligence's vendor-neutral authority, execution-control, and evidence layer for consequential actions by AI agents, software, and machines. It evaluates whether a specific actor may cause a specific effect on a specific resource under current policy, then preserves evidence of the decision and observed outcome.
Authentication identifies the requester; it does not grant unlimited effects. Learning does not expand authority. HIOP does not claim to prove that AI will always be safe or correct.
Status: FUNCTIONAL PROTOTYPE. Available for scoped evaluation. Production tenancy, external certification and live physical-control deployment are not yet offered.
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