TL;DR
EHV is a new architecture for real-time, hardware-rooted enforcement of AI governance policies in autonomous systems, enabling rapid policy updates with formal guarantees.
Contribution
It introduces a provably deterministic, runtime verification framework using a JIT compiler integrated into inference pipelines for agentic systems.
Findings
EHV achieves sub-millisecond formal determinism for policy enforcement.
It reduces governance latency from days to milliseconds.
Formal verification confirms non-compliance actions are computationally unreachable.
Abstract
As autonomous agentic systems scale across regulated critical infrastructures, the lack of mechanistic, hardware-rooted enforcement for high-frequency policy updates presents a fundamental safety gap. We introduce Ethical Hyper-Velocity (EHV), a novel architectural framework for the formal verification of AI governance policies at runtime. Unlike retrospective auditing frameworks (ISO/IEC 42001, NIST AI RMF) which introduce 14-30 day latencies, EHV relocates the Policy Enforcement Point (PEP) into the inference pipeline via a Governance-Aware Just-In-Time (JIT) Compiler. By integrating Conflict-free Replicated Data Types (CRDTs) for policy synchronization and Epoch-based Attestation Caching within Trusted Execution Environments (TEEs), EHV achieves Sub-millisecond Formal Determinism (SMFD). We demonstrate via TLA+ formal verification that non-compliant agentic actions are…
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