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 present Ethical Hyper-Velocity (EHV), a governance-aware runtime enforcement architecture for agentic systems that combines Grammar-Constrained Decoding (GCD) for inline policy-constrained token generation, Causal Graph CRDT-based policy synchronization with vector-clock ordering, hardware-attested execution in Trusted Execution Environments (TEEs), and OSCAL-formatted machine-readable audit logging. Unlike retrospective auditing frameworks (ISO/IEC 42001, NIST AI RMF) that introduce 14-30 day policy latencies, EHV relocates the Policy Enforcement Point (PEP) into the inference pipeline via a Governance-Aware Just-In-Time (JIT) Compiler. Under explicitly stated assumptions, the architecture reduces enforcement latency, improves traceability, and supports formal verification of safety invariants in a bounded model. We demonstrate via TLA+ model checking that non-compliant agentic actions were unreachable in the verified bounded operating state space (1,738 states generated, 324 distinct, depth 8, zero violations). Under these conditions, O(1) runtime enforcement reduces the traditional trade-off between deployment velocity and governance integrity, targeting Governance Latency from O(days) toward O(1). EHV's differentiating contribution is the integration of GCD, Causal CRDT, TEE attestation caching, and bounded formal verification into a single, hardware-rooted enforcement architecture -- a combination not achieved by any contemporaneous system. The architecture is demonstrated through a pediatric oncology dosage use case, with applicability to regulated critical infrastructures including healthcare, financial compliance, and critical infrastructure control.

翻译：随着自主智能体系统在受监管关键基础设施中的规模化部署，缺乏基于硬件根植的机制性强制手段以支撑高频策略更新，构成了根本性的安全缺口。我们提出伦理超速（EHV）——一种面向智能体系统的治理感知运行时强制架构，其结合了语法约束解码（GCD）实现内联策略约束的令牌生成、基于因果图CRDT且具有向量时钟排序的策略同步、可信执行环境（TEE）中硬件认证的可信执行，以及OSCAL格式化的机器可读审计日志。与引入14-30天策略延迟的事后审计框架（如ISO/IEC 42001、NIST AI RMF）不同，EHV通过治理感知即时（JIT）编译器将策略执行点（PEP）迁入推理管道。在明确陈述的假设下，该架构降低了强制延迟、提升了可追溯性，并支持有界模型中安全不变量的形式化验证。我们通过TLA+模型检验证明，在验证的有界运行状态空间（生成1738个状态，包含324个不同状态，深度为8，零违规）中，违规的智能体行为不可达。在此条件下，O(1)运行时强制将传统部署速度与治理完整性之间的权衡从O(天）级治理延迟压缩至O(1)级。EHV的差异化贡献在于将GCD、因果CRDT、TEE认证缓存与有界形式化验证整合为单一硬件根植强制架构——这一组合是任何同期系统均未实现的。该架构通过儿科肿瘤用药案例进行实证，并适用于医疗、金融合规及关键基础设施控制等受监管关键领域。