Vast Data Rolls Out Confidential Computing Service for Sensitive Workloads

Vast Data Inc. has introduced a confidential computing service called DataEnclave, which enables companies to run advanced AI models against sensitive data without exposing the data or the model's intellectual property.

DataEnclave uses Nvidia Corp.'s confidential computing technology to create hardware-isolated environments where proprietary models and enterprise data can be decrypted and processed securely.

The technology targets financial institutions, healthcare providers, government agencies, and other organizations with strict security and data residency requirements.

'Model weights are fast becoming the most valuable intellectual property in the world,' said Jeff Denworth, Vast Data's co-founder. 'Base weights define the value of frontier models, while fine-tuned weights will increasingly represent the proprietary intelligence of AI-driven enterprises.'

DataEnclave can be deployed in customer data centers, AI clouds, and fully air-gapped environments, and its attestation services are based on the open-source Cloud Native Computing Foundation Trustee project or provided through Fortanix Inc.'s Confidential AI offering.

Vast said the model allows a developer's base weights and a customer's fine-tuned weights to operate together while remaining under separate ownership and key control, which could help enterprises create customized models without disclosing their proprietary training or operational data to the base-model provider.