Evidence record 265 · automatically gathered

AGL-1: The Enterprise AI Governance Layer as a Control Plane for Trusted Enterprise Intelligence

Enterprise artificial intelligence is moving from isolated experimentation toward operational dependency across copilots, retrieval-augmented generation systems, autonomous agents, and AI-enabled business workflows. As this transition accelerates, the primary enterprise challenge is no longer only model access or inference scale. It is governed intelligence operations: the ability to enforce authorization, preserve contextual lineage, control persistent memory, detect stale or conflicting knowle

Record details

Published: 3 July 2026
Source: arXiv
Category: Research
Topics: Regulation · Agents & autonomy
Retrieved: 14 July 2026

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ethics.ai (3 July 2026), “AGL-1: The Enterprise AI Governance Layer as a Control Plane for Trusted Enterprise Intelligence,” evidence record 265, https://ethics.ai/record/265 (originally published by arXiv).

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