NVIDIA announced the NVIDIA Open Agent Safety Platform, an open software platform and reference system design aimed at strengthening AI security from agent testing to deployment. The initiative introduces full-stack governance and control across the software, hardware, compute, and robotics systems that run autonomous AI agents.

The platform addresses recent security incidents where agents circumvented application-layer controls. It comprises two core components: NVIDIA OpenShell, an open source secure runtime software, and NVIDIA Sentry, a reference system design for continuous in-silicon monitoring.

Core components of the safety stack

NVIDIA OpenShell provides a secure runtime boundary that traces all actions and enforces policy as agents operate on NVIDIA Vera CPUs. As open source software, it can be extended to work with third-party compute platforms, including those from Arm and Intel. This ensures enterprises can enforce boundaries outside of the model and agent harness with minimal overhead.

NVIDIA Sentry functions as an out-of-band watchdog running on NVIDIA BlueField-4 DPUs. It continuously monitors agent behavior independently in silicon. If an AI agent attempts to move outside its software boundary, Sentry quarantines and stops it in milliseconds. Built on NVIDIA DOCA software, Sentry combines threat detection, hardware-based governance, and data access protection from an isolated trust domain invisible to agents and attackers.

Industry adoption and partnerships

Over 100 organizations are collaborating with NVIDIA on this platform, spanning infrastructure, software, models, and robotics. Key partners include Anthropic, Cisco, CrowdStrike, Dell Technologies, HPE, Microsoft, Palantir, Salesforce, SAP, and SpaceXAI. Financial services leaders such as Citi and JPMorganChase are also working on shared open source agent safety technologies.

Specific integrations include:

• Anthropic: Claude Managed Agents use OpenShell and BlueField to enforce strict control over sandbox access.
• SpaceXAI: Using the platform for Cursor coding agents and Grok models.
• Salesforce: Integrated OpenShell with Slack for human oversight of agent activity.
• SAP: Embedding OpenShell with Joule Studio runtime for business oversight.
• Scale AI: Incorporating platform technologies into its agentic infrastructure layer.

Robotics leaders like Figure, Gecko Robotics, and Skild AI are building with OpenShell to embed safety controls into autonomous systems operating in the physical world.

Availability and ecosystem support

NVIDIA Open Agent Safety Platform software, including OpenShell, is available through NVIDIA developer resources and GitHub. These contributions support the mission of the Open Secure AI Alliance, initiated by NVIDIA alongside over 120 organizations and governed by the Linux Foundation. The alliance aims to strengthen AI agent security through open research, skills, tools, and projects like the Shared AI Findings Exchange (SAFE).

What the numbers show

The breadth of the ecosystem, involving over 100 organizations from diverse sectors like finance, energy, and robotics, indicates a significant industry consensus on the need for standardized, full-stack security protocols for autonomous agents. The shift from purely software-based controls to hardware-enforced boundaries via BlueField-4 DPUs suggests a strategic move toward in-silicon security as a primary defense mechanism against agent misbehavior.

Germany's Schmid has entered discussions with major chipmakers including Nvidia, Intel and AMD regarding the supply of glass substrates. This move highlights the industry's shift toward advanced packaging materials to support next-generation AI chips.

The proposed glass substrates offer distinct technical advantages over traditional plastic options. According to reports, the material boosts processing speed while simultaneously reducing power consumption. These efficiency gains are critical as demand for high-bandwidth memory (HBM) integration on AI chips continues to rise.

Strategic Implications

The negotiations underscore a broader trend in semiconductor manufacturing where material science plays a pivotal role in performance scaling. Glass substrates are viewed as a key enabler for stacking more HBM modules on AI processors, addressing thermal and structural limitations of current organic substrates.

Notably, Nvidia CEO Jensen Huang previously discussed glass substrate technologies with SK Group Chairman Chey Tae-won. This high-level engagement suggests that leading industry figures are actively evaluating the commercial viability of this transition.