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Nvidia 推出新平台,用于管控失控的 AI Agent
围绕近期多起失控 AI Agent 事件究竟是迈向 AGI 还是常规工程问题的争论,Nvidia 给出了自己的回应。Nvidia CEO Jensen Huang 于周一发布了一套软硬件工具包,在 AI Agent 外围增加独立的安全层。摘要未披露具体产品名称、技术细节与可用时间。
AI推荐理由 Nvidia 官方发布面向 AI Agent 安全管控的软硬件工具包,由 CEO Jensen Huang 在周一介绍,属于官方首发信号,对 Agent 安全与产业落地有直接价值。但输入摘要仅给出产品定位,未提供具体产品名称、技术细节、可用时间或验证数据,因此质量分受限于信息密度不足,兴趣分因切中 Agent 安全这一实际痛点而偏高。
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As the debate rages over whether the recent spate of rogue AI agents is a step toward AGI or a more conventional engineering problem, Nvidia is offering its own answer to problem.
Nvidia CEO Jensen Huang on Monday introduced a toolkit of software and hardware products that add independent security layers around AI agents to ensure they stay within their test environments even if they attempt to break out.
The release follows a string of hacking incidents involving AI models from Anthropic, Google, OpenAI, and Meta that bypassed security controls to escape their testing environments and access real-world systems. The first and most prominent example occurred this summer when OpenAI agents breached Hugging Face while trying to complete a cybersecurity task. And the hits keep on coming — OpenAI published a new site dedicated to reports of its AI agents going rogue.
Huang said Monday during an interview with CNBC that its new Nvidia Open Agent Safety Platform would have prevented these breaches.
Nvidia, which has made tens of billions of dollars selling its GPU and CPU chips to AI labs, doesn’t support slowing down development or adding new regulations to the industry to solve the security problem. The answer, the company believes, is to move some security controls outside the agent altogether — creating a constant and independent security guard that will keep AI agents in check.
“AI’s extraordinary potential for society will only be realized if we solve AI safety,” Huang said in a statement. “As we continue to discover the frontier of AI capabilities, we must accelerate discovery at the frontier of AI safety. Safety and security require full-stack engineering.”
The new Nvidia Open Agent Safety Platform combines OpenShell, its open-source software for controlling what agents can access while they operate, with Sentry, an independent monitoring system that runs on Nvidia’s BlueField-4 data processing units. Nvidia says placing Sentry on a separate processor — rather than on the CPU or GPU where the AI agent operates — provides an isolated view of the agent’s activity.
OpenShell isn’t new; the company announced the software in March. But it’s the combination that Nvidia believes will provide the security layer needed to keep the industry plugging along. OpenShell provides the software boundary around the agent, while Sentry adds another line of defense at the hardware level tha the company says will continuously monitor behavior and “quarantine agents that attempt to move outside their boundaries in milliseconds.”
Nvidia listed dozens of companies that have signed on to to support the effort and use the open-source platform including Anthropic, Arm, Microsoft, Oracle, and SpaceX. OpenAI is not listed as a participating company.
Huang told CNBC in an interview Monday that work on this effort started a year ago following the introduction of OpenClaw, an operating system of agents created by Peter Steinberger. In March, Nvidia released NemoClaw, an enterprise-grade AI agent platform and its own version of OpenClaw that baked in security.
“When you deploy an agent, no matter how smart, the first thing you do is to take away all of its rights,” Huang said during his CNBC interview, later comparing these security measures to how human employees and even executives are managed with companies.
Nvidia’s release was widely supported by those who have cautioned that a slowdown in development could allow China to surpass the U.S. in AI.
David Sacks, a founder, venture capitalist, former White House AI czar, and co-chair the President’s Council of Advisors on Science and Technology, said Nvidia’s announcement is a reminder that agent safety is an engineering problem.
“Recent breakouts weren’t proof that development must stop,” he wrote on X. “They were proof that the sandbox was too weak. The runtime environment was poorly designed and misconfigured.”
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Kirsten Korosec
Transportation Editor
Kirsten Korosec is a reporter and editor who has covered the future of transportation from EVs and autonomous vehicles to urban air mobility and in-car tech for more than a decade. She is currently the transportation editor at TechCrunch and co-host of TechCrunch’s Equity podcast. She is also co-founder and co-host of the podcast, “The Autonocast.” She previously wrote for Fortune, The Verge, Bloomberg, MIT Technology Review and CBS Interactive.
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