Agreement-based governance processor system for secure ai lifecyclemanagement and distributed computing

Abstract

The present disclosure provides a governance processor system for secure AI lifecycle management across distributed computing environments. The governance processor is a new category of hardware distinct from application processors (CPUs, GPUs, TPUs) and security processors (TPMs, secure elements), designed to enforce policies and agreements at the hardware level. A policy specification layer defines access controls, data flow rules, execution limits, and cleanup requirements, which are compiled into hardware-executable routing and verification instructions. Governance processors, distributed across clusters, enforce these instructions at hardware control points governing data ingress, processing launch, and result egress. Each processor includes a three-domain architecture comprising an immutable enforcement core, an isolated local scripting language-based management plane, and a cryptographic engine. This design enables secure training, protected model deployment, confidential inference, zero-knowledge state maintenance, and manufacturer-independent updates. By dynamically configuring software-defined enclaves with hardware-enforced boundaries, the system ensures end-to-end AI governance with enhanced security, flexibility, and vendor independence.

Dependencies are inferred from the claim text.