NVIDIA releases Open Agent Safety Platform
NVIDIA Corporation unveiled the Open Agent Safety Platform on September 28, 2026, positioning it as an infrastructure-level tool for controlling AI agent behavior in production environments NVIDIA newsroom.
The platform operates as an open reference design built with partners and shifts safety enforcement outside the agent itself—toward the underlying compute, hardware, and robotics systems that execute agent actions. NVIDIA's official statement said: "We've launched NVIDIA Open Agent Safety Platform to help people control what AI agents can access and do" NVIDIA X account.
Architecture and Scope
The platform delivers full-stack governance and control across software, hardware, compute, and robotics systems running agents. Rather than relying solely on agent-internal safety measures, the design implements continuous monitoring that observes agent behavior from the infrastructure layer outward NVIDIA newsroom. NVIDIA's newsroom framed the offering as follows: "Introducing the NVIDIA Open Agent Safety Platform. An open reference design built with partners that continuously monitors and governs agent behavior, ensuring that AI agents follow the rules."
The safety approach spans from agent testing through deployment, enabling organizations to enforce constraints on what data agents can access, what systems they can interact with, and what actions they can execute in real-world environments.
Developer-Focused Release
NVIDIA positioned the platform as an open architecture, signaling that developers and enterprises can integrate the reference design into their own AI agent deployments NVIDIA developer blog. The release comes as AI agents move from experimental proof-of-concept deployments into production systems across enterprise, robotics, and autonomous computing use cases.
The Open Agent Safety Platform joins NVIDIA's broader agent infrastructure stack and reflects growing demand for safety guarantees as autonomous systems take on real-world tasks that carry financial, operational, or security risk. By moving safety controls to the system level rather than relying on agent-internal safeguards alone, the design reduces the surface area for agents to circumvent constraints or access resources outside their intended scope.