New AGIL Architecture Proposes Real‑Time AI Governance to Close Attestation Gap

To address this, they introduce AGIL (Adaptive Governance Intelligence Layer), a five‑layer framework that leverages machine learning for real‑time policy enforcement. The layers include autonomous shadow‑AI discovery, behavioral risk classification, a sub‑100 ms policy gateway, a continuous attestation engine, and adaptive policy intelligence that evolves with jurisdictional changes. While still theoretical, AGIL promises tamper‑evident audit trails as a by‑product of enforcement, potentially transforming how enterprises meet regulatory demands.

The proposal highlights the urgent need for infrastructure that can keep pace with AI adoption, offering a blueprint that could reduce breach costs and improve compliance across industries.