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 these core principles: The agent runs inside the managed workspace rather than the endpoint, persists beyond the user session for long-running autonomous work and never receives raw credentials. Instead, all access is mediated through trusted brokers, and any consequential actions require human approval. 

Agentic AI is reshaping enterprise economics, NVIDIA added. As agents run continuously and orchestrate complex workflows, efficiency is increasingly measured by cost per token, throughput and GPU utilisation. At the same time, sensitive and regulated enterprise data cannot always move to centralised clouds, driving organisations to bring AI to their data and creating a major opportunity for on-premises AI factories.  

Confidential computing - protecting sensitive data and models in use - enables enterprises to do this safely. NVIDIA Confidential Computing provides the hardware-based foundation for Zero-Trust AI, enabling secure deployment of frontier and proprietary models in on-premises or sovereign environments while preserving model intellectual property (IP) and accelerated computing performance. 

Hashtags: #Computex, #Computex2026, #GTC, #GTCTaipei, #GTCTaipei2026 

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