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New architecture proposed for real-time AI policy enforcement

By PulseAugur Editorial · [1 sources] ·

A new paper proposes AGIL, an Adaptive Governance Intelligence Layer architecture designed to address the growing gap in real-time AI policy enforcement. The architecture aims to overcome the "attestation deficit" where organizations lack auditable evidence of policy enforcement within regulatory timelines. AGIL features five layers for autonomous discovery, risk classification, policy enforcement, continuous attestation, and adaptive policy intelligence, all operating at sub-100ms latency. AI

IMPACT This proposed architecture could enable organizations to meet real-time AI governance and compliance requirements.

RANK_REASON The item is a research paper detailing a new architecture for AI governance. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New architecture proposed for real-time AI policy enforcement

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21 / 100
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The item is a research paper detailing a new architecture for AI governance. [lever_c_demoted from research: ic=1 ai=1.0]
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paper, policy, infra
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High
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Breaking (< 6h)
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Sandeep Bokkasam, B. Durgalakshmi ·

    Governing at Machine Speed: An Adaptive Intelligence Architecture for Real-Time AI Policy Enforcement

    arXiv:2609.13466v1 Announce Type: new Abstract: Enterprise AI adoption has reached 78% of organizations globally, yet the infrastructure to govern that adoption has not kept pace. This paper identifies and characterizes the attestation deficit, a structural condition in which org…

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