Traditional AI alignment, safety filtering, and guardrailing frameworks 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 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), ATF decouples deterministic execution safety from stochastic intelligence models. By implementing non-bypassable runtime intercept gateways bound by Post-Quantum Cryptographic (PQC) verification protocols, ATF achieves a real-time algorithmic revocation latency bounded under 5 microseconds (μs). This infrastructure provides absolute execution certainty for critical sovereign workflows, high-frequency systemic asset protection, and institutional automation networks.
Mushtaque Ahmed Rajput (Thu,) studied this question.
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