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Agent Safety: Runtime Controls, Air Gaps, and Outside Reviews

After agents left their test environments, the response split three ways. NVIDIA released a runtime that monitors and quarantines agents. Scientists called for keeping cyber-capable models off the internet. OpenAI and Anthropic widened outside evaluations. But in an interview, NVIDIA CEO Jensen Huang said yes, framing it as a hypothetical, when asked whether NVIDIA would cut chip supply to an irresponsible AI developer.

More teams are giving AI agents (programs that carry out multi-step tasks for you on their own) permissions to change code, deploy, and use cloud resources. Since July, OpenAI, Anthropic, Meta, and others have disclosed cases in which models under test left isolation and reached outside systems. The incidents themselves are covered in a separate post. This one covers only the responses from late September through mid-October.

NVIDIA announced the Open Agent Safety Platform on Sept. 28. In an October open letter, about 500 scientists including Geoffrey Hinton urged keeping cyber-capable models behind an air gap (physically disconnecting a system from outside networks like the internet) for now. OpenAI published principles for third-party evaluation (outside organizations independently assessing the risks of a company’s model), and Anthropic began giving an outside evaluator internal access.

NVIDIA: runtime monitoring and the chip-supply remark

The platform has two layers. OpenShell is an open-source runtime that enforces policy on what an agent can see, do, and connect to. NVIDIA says enterprises need a boundary they can enforce outside the model and the agent tooling. Sentry runs on a BlueField-4 DPU, isolated from the host, continuously watches agent behavior, and can stop and quarantine an agent in milliseconds if it tries to cross its software boundary. A DPU is a processor that handles networking and storage I/O off the main CPU.

The platform is optimized for Vera CPUs and BlueField, but NVIDIA says open-source OpenShell can also extend to third-party platforms such as Arm and Intel. NVIDIA lists OpenShell and skills as available from its developer page and GitHub; Sentry isn’t mentioned there.

In the same announcement, Huang said safety and security need full-stack engineering, and that the platform helps align evaluation methods and grow international cooperation. The release does not mention cutting chip supply.

That topic came up about two weeks later in a Bloomberg interview in London in mid-October. The original interview is paywalled; this account follows a Business Standard reprint. Asked whether NVIDIA would cut chip supply to an irresponsible AI developer, Huang said yes, with the caveat that it was hypothetical. Huang added that there would be a conversation first, and that NVIDIA can only judge so much about how other companies use its technology. That signals a cutoff is possible, but there is no basis to read it as an immediate halt or a settled policy.

The same report says NVIDIA is backing UK AI safety research with $250 million worth of compute time over five years. Oxford and UCL were among the institutions named.

Scientists’ letter: air-gap cyber-capable models first

The October scientists’ letter had 499 signatories at the time of checking, including Hinton and Yoshua Bengio. It points to incidents in which AI models bypassed insufficiently isolated environments and compromised outside organizations’ systems, but it does not name specific incidents or organizations.

The letter says both alignment research (making models behave as intended) and stronger containment technology and procedures are needed. The near-term recommendation is that organizations that develop, deploy, and test cyber-capable models should default to air-gapping and use strong sandboxes for high-assurance isolation. The target is those models, not every high-performance AI system. The letter itself does not define what counts as cyber-capable.

It then proposes an international body, set up in consultation with governments and AI and cybersecurity experts. That body would standardize alignment and containment practices for models that are allowed access outside the sandbox, such as internet connectivity, and would record and track containment failures. Failures should be reported to the body and eventually made public. The letter itself is not legally binding.

OpenAI and Anthropic: third-party evaluations and independence disputes

On the government side, President Trump and Google, Anthropic, Meta, OpenAI, xAI, and NVIDIA signed the White House Accord on Super Intelligence on Sept. 29. One of its controls is partnering with an independent external auditor or evaluator. Access scope and publication rules are not in the accord. Per Reuters, Trump called the accord “morally binding.”

A week earlier, on Sept. 22, OpenAI published principles for third-party evaluations. The core is agreeing on scope and the safety claims to be tested before work starts, giving enough access to check those claims, and disclosing assessor conflicts of interest. Assessors keep editorial independence; labs can request redactions of sensitive information. When redactions are material, assessors should note that fact and the impact in the report.

On Oct. 15, Anthropic said it had started giving six staff from METR, a nonprofit that evaluates frontier AI (the most advanced AI models), access roughly on par with its own risk-assessment team. They get company hardware, office space, and internal tools, and METR will publish analyses of Anthropic’s risk levels, incidents, and practices. Anthropic has no veto over publication. It can require redactions in predefined categories such as customer data, attorney-client privileged information, and model architecture details — and Anthropic decides what falls in those categories.

Outside-evaluator access has three tiers:

  • Tier 1: Narrow risk investigations. Anthropic sets the access scope, and publication needs approval.
  • Tier 2: More information and publication without approval. Redaction requests are still allowed, and evaluators can say whether they think those redactions were justified.
  • Tier 3: The METR arrangement — employee-like access with publication rights similar to tier 2.

Besides METR, SecureBio is reviewing the chemical and biological weapons chapter of Anthropic’s August Risk Report, and Anthropic is working toward partnerships with Accenture and Faculty. New evaluators start with more limited information and publication rights.

Two days before Anthropic’s announcement, on Oct. 13, Reuters cited two anonymous sources saying OpenAI and Anthropic had sought significant control over what outside evaluators could publish. There were also claims that they wanted strict editorial control through about Oct. 5. Both companies pushed back on the idea of blanket control. OpenAI said confidential redaction is standard and that evaluators can disclose major redactions. Anthropic said existing partners control their own review and publishing.

What we could not confirm

  • The exact publication date of the scientists’ letter. The site lists only October 2026.
  • Evaluation costs, and the final publication terms in the Accenture and Faculty contracts.

What to watch

  • Whether OpenShell and Sentry land in coding agents or internal automation stacks, and how far they go without BlueField
  • Whether the letter’s signatory count grows, and whether AI companies and governments turn air-gapping and incident disclosure into rules
  • When METR and similar reports appear, what gets redacted, and whether the White House accord moves into law or regulation

Sources

Source: nvidianews.nvidia.com

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