Red Hat and NVIDIA collaborate for a more secure foundation for the agent-ready workforce

Red Hat and NVIDIA collaborate for a more secure foundation for the agent-ready workforce NVIDIA OpenShell: Infrastructure-enforced agentic safety A growing portfolio of agentic security The adaptable enterprise: Why AI readiness is disruption readiness About the author Joe Fernandes More like this The efficient enterprise: Scaling intelligence with Mixture of Experts Bringing Nemotron models to the Red Hat AI Factory with NVIDIA Technically Speaking | Build a production-ready AI toolbox Technically Speaking | Platform engineering for AI agents Keep exploring Browse by channel Automation Artificial intelligence Open hybrid cloud Security Edge computing Infrastructure Applications Virtualization Share In already a few short years, AI technology has evolved from basic chat completions to autonomous, long-running agents. This poses a challenge for IT teams who need to enable their builders to innovate while also providing guardrails and controls to reduce enterprise risk. More than just chatbots or assistants, agents are now autonomous entities capable of operating over extended horizons, crafting their own sub-agents, and using professional tools to complete multi-step plans. But as agents leave the developer's laptop and start interacting with production data and external APIs, freedom without guardrails becomes a significant liability. At Red Hat, our AgentOps strategy is built on a simple principle: Bring Your Own Agent (BYOA). You bring your agent and we provide the enterprise-grade platform and tools needed to connect the agents to the security policies, sandboxes, gateways, and more. , to make it production-ready. Today, we are excited to highlight our deepening collaboration with NVIDIA to enable a security-centered, agent-driven digital workforce by integrating the open source NVIDIA OpenShell runtime and NVIDIA AI-Q Blueprint — part of NVIDIA Agent Toolkit — with our Red Hat AI platform. One of the biggest gaps in the current AI stack is the lack of a dedicated layer that provides necessary tool and service access to agents while simultaneously enforcing strict security and privacy controls. NVIDIA OpenShell is an open source runtime designed specifically to answer this need, with key features like agent sandboxing, deny-by-default policy and privacy-preserving routing. NVIDIA OpenShell operates within Kubernetes and can be deployed on Red Hat AI. This deployment allows for the integration of agents with self-hosted models powered by vLLM, along with MCP tools and other AI services, all within a hybrid AI infrastructure.