VAST Data Launches DataEnclave to Secure AI Model Deployment in…

Event summary

VAST Data introduced DataEnclave, a confidential AI capability built on NVIDIA Confidential Computing, enabling secure deployment of AI models in sensitive data environments.
DataEnclave uses hardware-isolated secure runtime and cryptographic attestation to protect sensitive data and proprietary models during execution.
The solution supports connected or air-gapped environments and is governed by independent key control and auditability features.
DataEnclave is set to ship in Q1 2027 through VAST Data and participating OEM partners, including Cisco and Supermicro.

The big picture

VAST Data's DataEnclave addresses a critical gap in AI deployment: the inability to run leading AI models in highly regulated environments where data cannot be moved. This move aligns with broader industry trends towards data sovereignty and secure AI governance, particularly as organizations increasingly fine-tune models to represent proprietary intelligence. The solution's ability to operate in air-gapped environments and maintain independent key control positions VAST Data as a key player in the confidential computing space.

What we're watching

Adoption Pace: The pace at which highly regulated industries like financial services and healthcare will integrate DataEnclave into their existing infrastructure.
Ecosystem Expansion: Whether VAST Data can sustain partnerships with leading AI model builders and cloud providers to expand the ecosystem.
Competitive Response: How competitors in the AI infrastructure space will respond to VAST Data's move into confidential AI deployment.