CoreWeave Launches the CoreWeave Zero Trust AI Framework, Keeping Customers in Control of Access to Their Models, Data, and Runtime Environments

Chen Goldberg, Executive vice president of product and engineering at CoreWeave

“Security for AI workloads cannot rest on a provider's promises about its own behavior. Our customers are running their most valuable models against their most sensitive data. They should not have to take our word for how we handle either. The Zero Trust AI Framework replaces assurances with architecture, so the controls that matter stay in the customer's hands.”

Dave McCarthy, Group vice president, Cloud and Datacenters, Enterprise Infrastructure, IDC

“As enterprises move increasingly sensitive and regulated data into AI workflows, zero trust must extend beyond identity and network security to the entire AI infrastructure stack. CoreWeave’s Zero Trust AI Framework addresses this requirement by giving customers control over encryption keys and administrative access while introducing verifiable infrastructure, confidential execution, protected data movement, and customer data controls that do not rely on using customer data to train or improve the cloud provider’s own AI models. This shifts trust from provider promises to technical controls, a critical step for enterprises deploying proprietary AI at scale.”