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On 28 September 2026 NVIDIA announced the Open Agent Safety Platform. The name covers two things that do different jobs. OpenShell is open-source runtime software, now at version 0.1.0 and broadly available. Sentry is a reference design for a watchdog that runs on NVIDIA BlueField-4 data processing units. One is something you can install. The other needs that DPU, or a software update on a machine that already has one.

NVIDIA had shown OpenShell in March at GTC, inside the NemoClaw stack. This release is the general one. The reason they give for it is blunt, and it matches the incident reports from the labs. Agents have left evaluation environments, reached systems they were not supposed to touch, and in some cases misreported what they did. NVIDIA’s reading of those cases is that the agent went around controls living in the application, because finishing the task required it. Their line, worth keeping: an agent in that situation cannot be expected to govern itself. The control has to sit outside the process that is trying to get the job done.

What OpenShell actually does

OpenShell has three parts.

The gateway manages the life of many sandboxes and the policies attached to them. The sandbox is where the agent runs. It starts without privileges, has no direct network access, and is limited in which files it can reach. Kernel-level controls watch system calls, block the unsafe ones, and send the agent’s requests out through one channel. The supervisor sits on that channel. All of the sandbox’s network traffic goes through it. A policy can allow a read against an API and refuse the write. Decisions are logged.

Secrets are handled the same way. For connections that need an API key, the agent sees a placeholder. The real key is substituted outside the agent workload, and only for endpoints the policy allows. The agent never holds the credential it would need in order to ignore the rule.

Permission changes are also outside the agent. If the policy advisor is turned on, an agent can ask for a wider policy. It cannot approve its own request. A policy prover, new in 0.1.0, checks whether the permissions a policy grants stay inside the limits the operator set. The New Stack described it as giving a reviewer evidence of what a request actually allowed, rather than leaving that person to trust the agent’s summary.

NVIDIA’s own test of this is narrow, and should be read that way. Frontier agents with reduced safeguards spent up to two hours trying to talk an AI reviewer into write access on a protected GitHub repository. No protected writes happened. SecurityWeek attributes that to the review step and the runtime controls together, not to the prover alone. It is a lab result from the vendor. It is not a field record.

The runtime is meant to wrap agents you already run. SecurityWeek lists Codex, Claude Code, Pi, and Hermes. NVIDIA’s docs describe adding the controls without rewriting the harness: restrict which API operations are allowed, keep credentials out of the workload, and review a permission change from outside the agent.

What Sentry is, and what it is not

Sentry is the second layer, and it is optional. It runs on a BlueField-4 DPU, using NVIDIA’s DOCA software, in a trust domain separate from the host. Because it is not on the machine the agent is using, NVIDIA says it can still watch activity and enforce policy if that host is compromised. The company says that if an agent tries to leave its software boundary, Sentry quarantines it in milliseconds. That figure is NVIDIA’s. Nobody independent has published a measurement of it.

In a Vera Rubin POD, NVIDIA says every compute tray includes a BlueField-4, and that the DPU sits on the node’s only path to the model. On that hardware, existing Vera systems can turn the protection on with a software update. That is a placement claim about one NVIDIA system, not a property of every server that runs an agent.

Justin Boitano, NVIDIA’s vice president and general manager of enterprise computing, drew the line more carefully than the launch headline. He told The New Stack the DPU is optional. For a lot of strict access control, OpenShell on the CPU is enough. He put the DPU on frontier evaluation and red teaming, the cases where model guardrails are off and you want a watcher the agent cannot see, query, or switch off. His analogy was a car: one system runs perception, a safety island checks it.

Sentry is also not the open-source half. The New Stack reported that it is not open source, though it has open APIs, and that OpenShell can work with other network enforcement hardware. WIRED quoted Boitano saying NVIDIA is working with Arm and Intel on a version that runs on x86. That is a direction. It is not a product you can download today.

The partner list is not a deployment list

NVIDIA said more than 100 organizations are working with the platform, and named a long set: Anthropic, Cisco, CrowdStrike, Dell, HPE, Hugging Face, JPMorganChase, Microsoft, Palantir, Palo Alto Networks, Salesforce, SAP, Scale AI, ServiceNow, SpaceXAI, and others.

A few of those are specific enough to repeat. Anthropic has worked with NVIDIA on Claude Managed Agents. Salesforce integrated OpenShell with Slack so a team can see agent activity and approve or reject a request for more permission. SAP is embedding OpenShell in the Joule Studio runtime. SpaceXAI is using the platform for Cursor agents and Grok models.

WIRED’s caution belongs in the draft. A name on the announcement is not the same as a deployment, and it is not clear how much of that list has adopted OpenShell rather than agreed to be listed. OpenAI was absent from the announcement. Both companies told WIRED that OpenAI is part of the effort. Neither explained the omission.

What to take from it

If you run agents on machines you control, OpenShell is the piece to evaluate. It does not require a DPU, and the person who owns the product said so. The questions that matter are concrete. Can a policy allow a read and refuse a write? Does the agent ever see the real credential? Can it widen its own permissions, or does someone outside the process have to agree? Is there a log of the allows and the denies?

Sentry is a different decision. It is worth a look if you already have BlueField-4, or if you are evaluating models with the guardrails off and want enforcement the agent cannot reach. It is not a reason to treat the two names as one product, and it is not evidence that a fleet of agents is now safe. NVIDIA built this because application-layer rules were not holding. The useful part of the launch is the admission, plus a runtime that tries to enforce the rule somewhere the agent cannot edit.