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Vast Data's new DataEnclave service leverages trusted execution environments to enable secure inference of proprietary AI models on sensitive enterprise data without exposing either the weights or the inputs. By encrypting memory across CPUs and GPUs while maintaining control over cryptographic keys, this solution directly addresses critical IP protection concerns for financial and healthcare sectors deploying advanced machine learning workloads. This development represents a significant step forward in making confidential computing a practical standard for high-stakes AI applications where data privacy is non-negotiable.
Sources coveringSiliconANGLE, InfoQ, Cybersecurity News, arXiv
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Vast Data launches confidential computing service for sensitive workloads

SiliconANGLE4 min read

Vast Data Inc. today introduced DataEnclave, a confidential computing environment designed to let companies run advanced artificial intelligence models against sensitive data without exposing either the data or the model’s intellectual property. DataEnclave is a new capability within the Vast DataEngine and broader Vast AI Operating System that uses Nvidia Corp.’s confidential computing technology to […] The post Vast Data launches confidential computing service for sensitive workloads appeared first on SiliconANGLE.

Vast Data Inc. today introduced DataEnclave, a confidential computing environment designed to let companies run advanced artificial intelligence models against sensitive data without exposing either the data or the model’s intellectual property. DataEnclave is a new capability within the Vast DataEngine and broader Vast AI Operating System that uses Nvidia Corp.’s confidential computing technology to create hardware-isolated environments in which proprietary models and enterprise data can be decrypted and processed securely. The technology targets financial institutions, healthcare providers, government agencies…

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