A critical governance gap is emerging as enterprises race to deploy autonomous AI: an agent can be fully approved, compliant on paper and still take actions that violate corporate policy. , ModelOp, the Enterprise AI Command Center for Fortune 500 and Global 2000 enterprises, announced its Full-Stack AI Policy Enforcement to close this gap. ModelOp’s Full-Stack AI Policy Enforcement centralizes and continuously manages AI policy in ModelOp’s system of record and enforces it at four levels: process, execution, operating system (OS) and network.
ModelOp’s new integration with NVIDIA OpenShell, NVIDIA’s open-source secure runtime for AI agents, extends existing AI governance enforcement to the OS, where policy governs what an agent can read, write, run and send.
“The biggest misconception in enterprise AI governance is that approving an agent means it will adhere to all of your policies in production,” said Dave Trier, CEO of ModelOp. “An agent can pass every risk assessment and approval and still violate policy the moment it starts operating. If your governance ends at deployment, you’re not actually enforcing your policy. You’re documenting what you hoped it would do. ModelOp bridges this gap. We already enforce policy across workflows, execution platforms and gateways. Now with NVIDIA OpenShell, we’re extending it to the operating system, so enterprises can enforce policy wherever their agents act.”