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Nvidia launches its OpenShell Reference Architecture, a framework to secure and monitor AI agents, partnering with Canonical, AWS, Google, Microsoft, and others

Nvidia has proposed a new way to keep corporate AI agents in line.  —  Nvidia on Wednesday introduced its OpenShell Reference Architecture.

The Register Thomas Claburn

Context & Ripple Effects

Nvidia had already tied enterprise agent development to trust, security and safety through its Inference Microservices for enterprise agents. In 2026, it extended that posture through the Open Secure AI Alliance, bringing security, model and infrastructure companies into a common safety-tooling effort.

The September Open Agent Safety Platform reference design established OpenShell alongside Sentry for containing agent activity. The OpenShell Reference Architecture turns that containment work into a broader enterprise framework for security, monitoring and governance, with Canonical, AWS and BBVA named as partners.

First-order effects

  • Canonical, AWS and BBVA gain a shared reference architecture for deploying AI agents with security, monitoring and governance controls rather than assembling those controls independently.
  • Nvidia expands OpenShell from a component of its agent-safety design into a named enterprise governance layer around agent deployments.

Second-order effects

  • Security and infrastructure vendors participating in Nvidia's agent-safety ecosystem face pressure to make their controls interoperable with OpenShell and its underlying safety architecture.
  • Enterprise buyers evaluating agents can assess governance tooling as part of the runtime stack, increasing the importance of integration across cloud, operating-system and security providers.

Third-order effects

  • If OpenShell attracts broad partner support, agent governance shifts from a collection of application features toward a standardized runtime and infrastructure layer shaped by Nvidia's reference designs.
  • The move points to enterprise AI competition increasingly being decided by who can provide enforceable controls around agent actions, not only the models or applications agents use.

The trend: AI-agent platforms are consolidating security, observability and policy enforcement into governed runtime architectures backed by cloud, infrastructure and enterprise partners.

Discussion

  • @gmi_cloud @gmi_cloud on x
    We are proud to support the @NVIDIAAI OpenShell Reference Architecture and bring it to our infrastructure.
 Building on GMI Cloud's investment in the NVIDIA Vera Rubin platform: model compute, governed agent execution and hardware-level security are all on one cloud. 

Agents can…
  • @crowdstrike @crowdstrike on x
    AI agents need more than guardrails. CrowdStrike and @NVIDIAAI are extending AI agent security from software to silicon. Announced at #NVIDIAGTC Berlin: Falcon Guardian is being integrated with NVIDIA OpenShell, with plans for in-silicon enforcement through NVIDIA Sentry. 🔗 Learn…
  • @baseten @baseten on x
    Agent security belongs in the infrastructure layer. We're proud to partner with @nvidia on the OpenShell Reference Architecture, an open architecture for running AI agents with security enforced at the infrastructure level. We build safety into how we serve models. Base Labs is b…
  • @arm @arm on x
    As AI agents become more autonomous, security needs to be built into the infrastructure powering them. NVIDIA's new OpenShell Reference Architecture helps make this possible, with Arm-based Vera CPUs powering agent execution and BlueField DPUs supporting isolation and policy enfo…
  • @paloaltontwks @paloaltontwks on x
    Moving AI agents from pilot to production takes more than speed, it takes control. Together with @NVIDIAAI OpenShell, Palo Alto Networks secures the AI factory with governed identities, isolated runtimes, and real-time SOC signals. See how. https://www.paloaltonetworks.com/ ...
  • @bbva @bbva on x
    We are glad to announce our plans to work with @nvidia to explore the potential of the OpenShell Reference Architecture to enable new approaches to AI agent safety, security and governance. The collaboration is part of our strategy to scale the use of AI agents across the organiz…
  • @luizajarovsky Luiza Jarovsky, PhD on x
    As @JensenHuang said, AI safety is a technological issue. This is the right approach, and one that helps hold companies accountable. If a plane is unsafe, can it operate? NO. So if AI labs can't guarantee their products are safe, they shouldn't be able to operate either.
  • @yahoofinance @yahoofinance on x
    “You should first start with zero trust” when using an autonomous agent, says Jensen Huang. Nvidia revealed its OpenShell Reference Architecture at its GTC Berlin event. The Nvidia CEO sat down with @dee_bosa. “The way to think about safety is we have to accelerate AI safety,” [v…
  • @nvidia @nvidia on x
    Jensen introduces the OpenShell Reference Architecture to help businesses set boundaries for AI agents and stop them when they step outside those boundaries. Securing agents around the world. 🔒