SOVEREIGN RUNTIME FABRIC (SRF): A DEFENSE-GRADE, ZERO-TRUST INFRASTRUCTURE FOR DETERMINISTIC AI EXECUTION CONTAINMENT AT T=0

Traditional AI alignment, safety filtering, and guardrailing frameworks often operate at the semantic or application layer, leaving autonomous multi-agent networks vulnerable to execution slippage, stochastic drift, and systemic architectural collapse. This paper presents the Sovereign Runtime Fabric (SRF), formerly documented as the Agent Trust Fabric (ATF), a defense-grade, zero-trust infrastructure that enforces deterministic runtime AI governance at the exact millisecond of action (t=0). Developed alongside empirical failure-mapping baselines established by the VITT Protocol (Forensic Optical Cognition), SRF decouples deterministic execution safety from stochastic intelligence models. By implementing non-bypassable runtime intercept gateways, the framework achieves real-time algorithmic revocation. While the framework utilizes high-speed validation logic bounded under 5 microseconds, cryptographic sealing is integrated through optimized asynchronous pipelines to maintain system throughput. This infrastructure provides absolute execution certainty for critical sovereign workflows, high-frequency systemic asset protection, and institutional automation networks.