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, whether evidence was current, whether memory was valid, whether a tool call was permitted, whether the decision can be replayed, and whether the agent can be stopped before it creates business impact...
| Authors | Roopam W. Sure |
|---|---|
| Primary category | cs.SE |
| Published | 3 July 2026 |
| Last updated at source | 3 July 2026 |
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