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Evidence record 266 · automatically gathered

CAGE-1: Control, Assurance, and Governance Evaluation for Enterprise Agentic AI

Enterprise artificial intelligence is moving from experimentation into operational workflows. Early programs focused on model access and retrieval-augmented generation, but enterprises are now beginning to deploy agents that plan, retrieve, remember, call tools, update systems, and coordinate work across applications. This changes the evaluation problem. Leaders are no longer asking only whether an answer is accurate or fluent. They need to know who authorized an action, which policy applied, wh

Record details

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

source-onlyevidence status

These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.

Same publisher byline · Shared topic: Regulation

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

arXiv · 3 July 2026

Shared topic: Regulation · Shared topic: Agents & autonomy

When Aggregate Alignment Misleads: Auditing Policy Repair Without Per-State Expert Actions

arXiv · 3 July 2026

Shared topic: Regulation · Shared topic: Agents & autonomy

High-Fidelity One-Step Generative Visuomotor Policy via Recursive Correction, Frequency Consistency, and Contrastive Flow Matching

arXiv · 4 July 2026

Shared topic: Regulation · Shared topic: Agents & autonomy

ContextNest: Verifiable Context Governance for Autonomous AI Agent

arXiv · 2 July 2026

Shared topic: Regulation · Shared topic: Agents & autonomy

Episodic-to-Semantic Consolidation Without Identity Drift

arXiv · 2 July 2026

Shared topic: Regulation · Shared topic: Agents & autonomy

Path-level Hindsight Instructions for Semantic Exploration in Vision-Language Navigation

arXiv · 2 July 2026

How to cite this record

ethics.ai (3 July 2026), “CAGE-1: Control, Assurance, and Governance Evaluation for Enterprise Agentic AI,” evidence record 266, https://ethics.ai/record/266 (originally published by arXiv).

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