AGIL
A conceptual five-layer adaptive architecture for enterprise AI governance that uses machine learning to enforce AI governance in real time. Its five layers are autonomous discovery, behavioral risk classification, policy enforcement gateway, continuous certification engine, and adaptive policy intelligence.
Timeline (last 90 days)
AGIL (Adaptive Governance Intelligence Layer) is a conceptual five-layer architecture that uses machine learning to implement real-time AI governance enforcement
The first layer of AGIL is autonomous discovery, which detects 'shadow AI' through behavioral fingerprinting
The second layer of AGIL is behavioral risk classification, which unifies scores across four dimensions—safety, hallucination, privacy, and accountability—into a single framework
The third layer of AGIL is the policy enforcement gateway, which requires inline allow/deny/modify decisions within under 100 milliseconds of latency
The fourth layer of AGIL is the continuous certification engine, which automatically generates tamper-proof audit trails as a byproduct of the enforcement process
The fifth layer of AGIL is adaptive policy intelligence, which uses machine learning to drive policy evolution across different jurisdictions
AGIL is currently only a theoretical framework and architectural proposal, and has not yet been empirically validated through controlled deployment
All Facts (7)
AGIL (Adaptive Governance Intelligence Layer) is a conceptual five-layer architecture that uses machine learning to implement real-time AI governance enforcement
50%UnverifiedThe first layer of AGIL is autonomous discovery, which detects 'shadow AI' through behavioral fingerprinting
50%UnverifiedThe second layer of AGIL is behavioral risk classification, which unifies scores across four dimensions—safety, hallucination, privacy, and accountability—into a single framework
50%UnverifiedThe third layer of AGIL is the policy enforcement gateway, which requires inline allow/deny/modify decisions within under 100 milliseconds of latency
50%UnverifiedThe fourth layer of AGIL is the continuous certification engine, which automatically generates tamper-proof audit trails as a byproduct of the enforcement process
50%UnverifiedThe fifth layer of AGIL is adaptive policy intelligence, which uses machine learning to drive policy evolution across different jurisdictions
50%UnverifiedAGIL is currently only a theoretical framework and architectural proposal, and has not yet been empirically validated through controlled deployment
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