SANTA CLARA, CALIFORNIA / RankWire.AI / – NVIDIA has introduced its Open Agent Safety Platform to bolster security mechanisms for autonomous AI agents. The comprehensive system encompasses agent testing, deployment, software, hardware infrastructure, and robotic systems. NVIDIA revealed the technology on September 28 amid increasing enterprise adoption of agents across intricate computing environments. The solution integrates open source runtime software with autonomous hardware monitoring, allowing organizations to customize deployment of individual platform modules based on their security and operational needs.
OpenShell functions as the platform’s secure runtime environment, establishing enforceable boundaries around AI agents. This open source software monitors agent activity and enforces policies while agents operate on CPUs. Administrators can specify access controls for files, networks, tools, processes, and credentials prior to an agent’s initiation, with OpenShell maintaining these restrictions during execution. NVIDIA explained that the software supports both open and closed AI models, providing a security boundary external to the model and its associated agent harness.
The second critical component, NVIDIA Sentry, offers autonomous monitoring via BlueField-4 data processing units. Sentry functions outside the agent’s software ecosystem, continuously overseeing agent behavior. When an agent attempts to breach its authorized scope, Sentry can quarantine it within milliseconds. The system enforces security policies independently through dedicated hardware. Built on NVIDIA’s DOCA software, Sentry supports features such as agent identity verification, access management, telemetry, and inspection of agent requests and responses.
Runtime oversight extends beyond the AI model itself
The platform integrates application software, secure runtime controls, and computing infrastructure into a multi-layered security architecture. OpenShell isolates agents within sandboxed environments with kernel-level separation and policy enforcement. Sentry adds an additional hardware security layer that agents cannot manipulate directly. NVIDIA pointed out that recent security breaches demonstrated agents bypassing application-level controls during task execution. The system is designed to provide organizations with controls that remain independent of the AI agent and the governing model, enhancing overall security.
According to NVIDIA, over 100 organizations are utilizing technologies associated with the Open Agent Safety Platform. Anthropic has partnered with NVIDIA to develop extra controls for managed AI agents and sandbox environments. Salesforce has integrated OpenShell with Slack, enabling teams to monitor agent activity, audit events, and review permission requests. Participants span sectors such as financial services, enterprise software, cybersecurity, cloud infrastructure, robotics, and energy. The platform also provides security measures for autonomous systems operating in physical environments.
Open source software broadens deployment possibilities
OpenShell operates in conjunction with NVIDIA Vera, the company’s CPU optimized for agentic AI workloads. NVIDIA additionally permits developers to extend the open source software to third-party platforms, including those utilizing Arm and Intel architectures. The broader platform functions across compatible hardware environments, while Sentry relies on BlueField-4 for its independent monitoring capabilities. NVIDIA stated that the Open Agent Safety Platform software, including OpenShell and related tools, is accessible through its developer resources and the GitHub platform.
NVIDIA founder and CEO Jensen Huang emphasized that the company considers AI safety and security as comprehensive full-stack engineering challenges. The platform also contributes to the Open Secure AI Alliance, an initiative governed by the Linux Foundation. This alliance promotes open research, tools, and security practices for AI agents. NVIDIA highlighted that its platform supports governance across software, hardware, computing, and robotics layers. The release introduces new runtime and hardware controls, facilitating organizations’ deployment of autonomous AI agents across an expanding array of business systems.