EHV: A Deterministic Governance-Aware JIT Compiler for AI Systems
A novel architectural model, termed Ethical Hyper-Velocity (EHV), aims to implement AI governance policies in real-time with latencies under one millisecond. In contrast to retrospective auditing systems like ISO/IEC 42001 and NIST AI RMF, which can result in delays of 14 to 30 days, EHV positions the Policy Enforcement Point (PEP) directly within the inference pipeline through a Governance-Aware Just-In-Time (JIT) Compiler. It employs Conflict-free Replicated Data Types (CRDTs) for synchronizing policies and utilizes Epoch-based Attestation Caching in Trusted Execution Environments (TEEs) to achieve Sub-millisecond Formal Determinism (SMFD). The framework is rigorously verified with TLA+, ensuring that non-compliant agentic actions remain computationally unreachable within the defined operating parameters. The research is accessible on arXiv with the identifier 2605.17909.
Key facts
- EHV stands for Ethical Hyper-Velocity.
- It is a governance-aware JIT compiler architecture for agentic systems.
- It targets regulated critical infrastructures.
- It contrasts with ISO/IEC 42001 and NIST AI RMF which have 14-30 day latencies.
- It uses CRDTs for policy synchronization.
- It uses TEEs for attestation caching.
- It achieves Sub-millisecond Formal Determinism (SMFD).
- Formal verification was done using TLA+.
- arXiv identifier: 2605.17909.
Entities
Institutions
- ISO/IEC 42001
- NIST AI RMF
- arXiv