Analysis · curated 3 Jul 2026
How to Govern Autonomous Agents in Enterprise AI Factories
First reported nvidia.com
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Why it matters
Defenders deploying enterprise AI agents need architectural controls to contain agent access to sensitive data and prevent uncontrolled actions or exfiltration.
An NVIDIA technical blog describing the Secure Agent Workspace Reference Design, which separates the presentation layer (user device) from the execution layer (a managed, sandboxed workspace) to govern autonomous AI agents. It recommends per-user managed VMs, SSO enforcement, network egress controls, human approval for significant actions, credential protection via proxies, signed security policies, and centralized logging/audit.