AI Governance Infrastructure
HAREProtocol provides runtime enforcement for AI systems—producing cryptographic evidence of compliance, not just documentation of intent.
Core Capabilities
HAREProtocol enforces data governance at runtime—before AI operations execute, not after they've already accessed protected data.
Every governed operation is evaluated before execution. The Arbiter returns explicit PERMIT or DENY—no bypass paths, fail-closed on uncertainty.
Proof and denial artifacts are emitted as direct byproducts of enforcement decisions—cryptographically verifiable without trusting mutable logs.
Denials reveal nothing about protected content—no rankings, hit counts, or metadata leakage. Essential for GDPR Article 17 without breaking Article 30.
Execution in Progress
US provisional filed January 2026. 68 embodiments across 9 sections of governed AI architecture.
Vault Search reference implementation operational. Evidence-backed, role-conditioned search with lineage and proof.
University program designed. Two-course structure with lab component for producing practitioners.
EU entity incorporating February 2026. Access to Enterprise Ireland co-funding and Horizon Europe coordination.
The Problem
The primary barrier to AI deployment in regulated environments is not model capability—it's the inability to enforce and prove lawful access at runtime.
Join our Horizon Europe consortium. €15-18M project budget. Deadline: April 15, 2026.
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