NVIDIA brings secure agent workspaces and confidential computing to AI factories
As enterprise AI use cases move from chatbots to persistent, autonomous agents capable of reasoning, writing their own software tools, and executing complex cross-system workflows, demands on token generation fundamentally rewrite the enterprise model for security, compliance, infrastructure and cost. To scale safely, organisations need AI factories that are built for secure, trusted and efficient AI production. NVIDIA is supporting this trend with new reference architectures for Secure Agent Workspaces , Confidential VMs and Confidential Containers . Legacy IT security controls — static credentials, network allowlists and standard role-based access — were not designed for autonomous agents, NVIDIA said. Securing an AI factory requires a paradigm shift to runtime-enforced, policy-driven guardrails. Enterprises need secure agent workspaces — persistent, single-user environments accessed via enterprise single sign-on. Secure agent workspaces are governed by...
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