Preventing data purpose laundering and abuse of agentic ai tools: hardware-rooted pre-effectuation finality and cryptographic execution authority for enterprise and high-risk ai systems

Abstract

Autonomous AI agents deployed in enterprise and high-risk environments — including finance, critical infrastructure, healthcare, and sovereign platforms — routinely execute irreversible actions such as fund transfers, record modifications, and network commands. Existing safeguards like alignment layers and prompt-level refusals operate above the consequential boundary and cannot prevent harm once an action begins. This disclosure introduces Hardware-Rooted Pre-Effectuation Finality, a cryptographic execution authority architecture designed for enterprise-grade and high-risk AI systems. Every irreversible action is held in a structurally non-effective state until a protected hardware domain attests a complete predicate set — model identity, purpose binding, authorization epoch, revocation state, and Finality Sink verification — directly at the irreversible boundary. Only then is a scoped non-bearer Execution Handle derived atomically from the hardware-attested receipt, rendering unauthorized consequences technically non-completable by architecture rather than merely policy-prohibited. The architecture closes the structural gap between alignment-layer safety and true irreversible- boundary enforcement. It also delivers cryptographically verifiable parity between first-party and third-party assistants at execution interfaces, enabling technical compliance with the EU Digital Markets Act and high-risk requirements under the EU AI Act. By enforcing purpose binding at the hardware finality boundary, it helps prevent purpose laundering and supports data sovereignty in the AI era through hardware-attested proof rather than unverifiable commitments. This invention provides the missing cryptographic enforcement layer for trustworthy, sovereign, and governable AI infrastructure — where technical impossibility of unauthorized effectuation is essential.

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