NVIDIA has introduced the Open Agent Safety Platform as a security architecture for controlling autonomous AI agents from testing through deployment. Announced on September 28, 2026, the architecture combines open-source runtime controls with hardware-based monitoring, placing security boundaries outside the AI model itself. This design recognizes that prompt-level safeguards alone may not prevent an agent from accessing unauthorized files, tools, networks or services. Instead, NVIDIA’s approach connects agent permissions to the wider software, compute and hardware stack.
The software foundation is NVIDIA OpenShell, a secure runtime that places each AI agent inside an isolated execution environment. It can define and enforce rules governing filesystem access, processes, credentials, network connections, APIs and external tools. Operators can convert instructions into verifiable policies before an agent begins work, while OpenShell traces actions and records policy decisions in an audit trail. Because these restrictions operate outside the model and agent framework, they can apply to both open and closed AI models.
OpenShell is designed to act as the first enforcement layer in the architecture. For example, an enterprise agent authorized to retrieve an invoice from one folder could be blocked from opening unrelated files, modifying records or connecting to unapproved services. NVIDIA says the software runs with minimal overhead on its Vera CPUs, while its open-source design can be extended to third-party computing platforms, including Arm and Intel systems. This makes the runtime layer more portable than a security system tied entirely to one model or application.
The second major layer is NVIDIA Sentry, an out-of-band watchdog included in the reference system design. Running on NVIDIA BlueField-4 data processing units, Sentry monitors agent behaviour independently of the agent’s operating environment. Through NVIDIA’s DOCA software, it can inspect requests and responses, verify identities and enforce access policies covering data, tools, APIs and services. If an agent attempts to cross its permitted boundary, Sentry is designed to quarantine and stop it in milliseconds, creating a hardware-backed response when software controls are bypassed.
Together, OpenShell and Sentry form a layered AI-agent security architecture rather than a standalone product review. OpenShell governs what an agent is allowed to do, while Sentry provides independent monitoring and containment below the software layer. The broader model gives developers a way to combine policy verification, runtime isolation, continuous telemetry and hardware enforcement across agent deployments. NVIDIA has made OpenShell and related skills available through its developer resources and GitHub, allowing organisations to examine and adapt the architecture as autonomous systems move into production.