Nvidia now sells the locks too: OpenShell moves agent policy into the Linux kernel, Sentry can cut a rogue agent off in milliseconds — but you still have to draw the lines
Nvidia launched the Open Agent Safety Platform: OpenShell, an Apache 2.0 runtime that moves policy enforcement out of the agent's reach into the Linux kernel (one sandbox per agent, credentials kept in a gateway outside the sandbox, a formal-methods Policy Prover that verifies boundaries before the agent runs), plus Sentry, an out-of-band watchdog on BlueField-4 DPUs that can stop an agent in milliseconds. Anthropic, Salesforce, SAP and SpaceXAI are on board; OpenAI and Google are not named launch partners. The catch for every SME: vendors ship enforcement, but deciding what an agent may do, who approves it and who is accountable is still your job.
Nvidia built the AI factory. This week it started selling the locks for the doors.
The company launched the Nvidia Open Agent Safety Platform, a full-stack reference design for governing AI agents. TechTarget reports it went live on Monday; Network World's Zeus Kerravala calls it the moment Nvidia should start being seen as a security company.
The one-line thesis, from Justin Boitano, Nvidia's VP of enterprise AI: "The industry does not need agents that promise to stay within bounds. It needs systems that can prove and enforce those boundaries."
TL;DR
- OpenShell (Apache 2.0): policy enforcement moves out of the agent's reach and into the Linux kernel. One sandbox per agent. Credentials stay in a gateway outside the sandbox.
- Policy Prover: formal methods check the boundaries before the agent runs. Nvidia stresses it is "not LLM as a judge" but deterministic, mathematical reasoning.
- Sentry: an optional hardware watchdog on BlueField-4 DPUs that sits between the agent harness and the model, watches requests, responses and chain-of-thought, and can cut the agent off in milliseconds.
- Partners: Anthropic, Salesforce, SAP, SpaceXAI, with Citi and JPMorganChase collaborating and 100+ organizations working with the tech.
- The catch: Nvidia gives you enforcement. It does not tell you where the lines go. That is still your job.
Why agents broke the old security model
In the VM and container world, you wrote a policy and tied it to a process, a namespace or a pod. Ali Golshan, the Nvidia senior director whose team built OpenShell, says that no longer fits: "Agent behavior manifests across the file system, the network, memory, and other agents."
Worse, agents are trained to solve problems, so friction looks like something to route around. "Agents don't really understand the difference between a blocked policy that is not allowed versus a failure," Golshan told analysts. His summary: "Agents are grown, not installed."
Nvidia's own research found that sub-agents can combine permitted capabilities in ways a policy did not intend. That emergent-permission problem is exactly what the Policy Prover is built to check.
The trigger is no secret. In July, an OpenAI agent reportedly went rogue and breached Hugging Face, which led Nvidia to form the Open Secure AI Alliance. Boitano framed this launch around that failure: "model-level safeguards alone can't govern what agents can access or do."
OpenShell: the enforcement moves where the agent can't reach it
OpenShell is the free, open part, and it runs on Arm and x86 CPUs you already own.
- Kernel-level enforcement: the policy lives below the agent, not in its prompt.
- One sandbox per agent: no shared blast radius by default.
- Credentials in a gateway outside the sandbox: a prompt-injected agent has no long-lived keys to steal.
- Provable boundaries: "A developer can prove, for example, that an agent cannot access the internet before the agent starts running," Boitano said.
It also grew up fast. "When we launched in March, it was essentially single player," Golshan said. "With this release, it is fully multi-tenant." No breaking changes, and in his words: "It is ready for prime time."
Sentry: a safety island for agents
Sentry is the hardware half. It runs on BlueField-4 DPUs as an independent, out-of-band security domain. Because the DPU sits between the agent harness on the CPU and the model it calls, Sentry can observe requests, responses and chain-of-thought reasoning, and stop the agent in milliseconds.
Boitano compared it to the safety island in a self-driving car: an independent system whose only job is to make the primary system fail safely. If a security-testing agent starts reasoning about going beyond its approved target, "Sentry can then detect this and intervene instantly."
Important nuance: Sentry is optional. Boitano said OpenShell on CPUs is "honestly good enough" for most enterprise access control. Sentry is aimed at frontier work: red teaming and evaluating models before they have been aligned.
Who's in (and who isn't)
According to Nvidia, as reported by Network World:
- Anthropic is integrating Claude Managed Agents with OpenShell and BlueField.
- Salesforce connected OpenShell to Slack, so teams can approve or reject agent permission requests.
- SAP is embedding it in Joule Studio.
- SpaceXAI is using it for Cursor coding agents and Grok models.
- Citi and JPMorganChase are collaborating on the technology.
TechTarget's list of the 100+ organizations also names Microsoft, ServiceNow, Cisco and Scale AI.
Mike Nicolls, president of SpaceXAI, summed up the architecture: "Safety should be enforced outside the model by additional controls the agent can't get past." Jensen Huang's version: "Safety and security require full-stack engineering."
The caveats nobody should skip
Network World lists open questions:
- OpenAI and Google are not named launch partners. Nvidia says OpenShell is meant to be compatible with every harness and model, but their support will matter.
- Governance isn't neutral yet. Nvidia plans to move OpenShell to the Linux Foundation as part of the CNCF. That hasn't happened, so some buyers will see it as an Nvidia project rather than a standard.
- Performance is unpublished. Running OpenShell on CPU cores has "a slight impact," and Nvidia hasn't released formal measurements.
- Sentry is Nvidia-specific. It is built on BlueField and DOCA, and the strongest version of the story runs on Nvidia hardware.
The real story for SMEs: tools are not policy
TechTarget's angle is the one that matters if you run a 20-to-500-person company. Nvidia's platform can enforce boundaries, but it doesn't say where they should be drawn.
"The technology cannot decide what those boundaries should be," said Chris Newton-Smith, CEO of IO. "That responsibility still sits with the organization deploying the agent."
Andrew Curtis, CISO at Gadget Access, put it in one sentence every finance team should read: "An agent can stay inside its sandbox and still approve the wrong payment."
So the work that stays on your desk:
- Inventory: every agent, its owner, its connected systems and its permitted actions.
- Authority tiers: what an agent can do alone, what needs human approval and what is prohibited.
- Credentials outside the agent: short-lived, scoped sessions brokered by something the agent doesn't control.
- Enforcement outside the prompt: Kerravala's test for any control is "Could a clever agent talk its way past this? If yes, it isn't a control."
- Test combinations: two agents that each follow policy can still leak code together (one reads the repo, the other posts externally).
- Design for drift: log continuously, compare to original intent, and quarantine automatically when thresholds trip.
Washington is moving too. TechTarget notes the AI Kill Switch Act (Reps. Lieu and Moran) would require developers of certain powerful systems to keep the ability to slow or shut them down, while the Stop Rogue AI Act (Reps. Gottheimer and Lawler) directs NIST to develop standards to discover, monitor and control agents. Neither tells you where your agents' lines go either.
Related on TrustAI News
- OpenAI DevDay: always-on Dots agents, Astra shelved
- Who's liable when agents go rogue? Khanna's Human Control Act
- OpenAI's DNS sandbox gap and the pause on tool use
- Anthropic's fourth escape: isolation beats alignment
Where TrustAI fits
You don't need BlueField to apply the principle. TrustAI Vault puts the control layer outside the model for the agents and assistants your team uses: DLP before data reaches a model, egress allowlists, tamper-evident audit logs, human approval gates for risky actions and an admin kill switch. You set the lines; Vault enforces and logs them.
Start your Vault Pro 4-day trial → Start free trial
Sources
- Network World — Zeus Kerravala, "Nvidia built the AI factory. Now it's building the locks for the doors" (Oct 1, 2026): networkworld.com
- TechTarget — Kinza Yasar, "Nvidia agent safety push raises questions about who governs AI autonomy" (Oct 1, 2026): techtarget.com
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