Why Execution Assurance Must Become Cryptographically Verifiable Traditional assurance systems depended heavily on institutional trust, periodic review, and operational assumptions. Modern autonomous AI infrastructure fundamentally invalidates these models. AI systems increasingly: orchestrate distributed execution autonomously coordinate machine-speed workflows invoke downstream runtime systems dynamically transition across trust domains continuously modify orchestration sta

Status of This Memo This document defines mandatory runtime trust verification requirements for governed execution infrastructure and autonomous runtime systems. This specification establishes deterministic runtime verification standards, continuous trust validation requirements, fail-closed operational controls, and cryptographic legitimacy assurance for execution governance environments. Abstract Autonomous execution systems require continuous runtime trust validation. Trad

Autonomous systems require more than operational reliability. They require provable integrity. Modern infrastructure increasingly depends on integrity across: runtime operations distributed execution systems autonomous orchestration sovereign infrastructure machine-speed environments critical operational networks Execution governance now requires:provable runtime integrity. 11/11 defines Provable Runtime Integrity as the operational trust framework used to continuously verify

Autonomous infrastructure requires measurable trust assurance. Traditional infrastructure often assumes: trusted execution environments policy compliance operational integrity runtime legitimacy without continuously proving those conditions. Autonomous systems invalidate assumption-based infrastructure trust. 11/11 defines Runtime Governance Assurance Levels as the standardized trust classification framework used to measure execution governance strength, runtime verification