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How to Govern Autonomous Agents in Enterprise AI Factories

NVIDIA Technical Blog·Michelle Horton·about 9 hours ago
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AI agents are quickly moving beyond chat. They inspect code, run tests, read documents, search knowledge bases, query internal systems, and operate for hours on behalf of a user. This unlocks productivity, but can also give agents access to sensitive enterprise data and the ability to complete tasks and take action across business systems, making a secure, governed environment essential.

The NVIDIA Secure Agent Workspace Reference Design introduces a clear architectural shift: the user’s laptop, browser, integrated development environment (IDE), or terminal serves as the presentation layer, not the execution layer. Agent execution occurs in a managed workspace where identity, network access, credentials, runtime policy, audit, and human review can be enforced consistently.

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