Confidential AI

Use and optimize AI models with always-encrypted data

Stay compliant with international data privacy regulations while optimizing your AI models. Confidential computing opens up new possibilities in AI model training by ensuring data is always encrypted — even during processing.

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Isolating AI pipelines end-to-end for data privacy compliance

Constellation protects the entire Kubernetes

When training AI models, companies collect a lot of personal data that needs to stay secure, especially in public cloud environment. With Confidential AI, ML data stays encrypted end-to-end, even while in use. Using Edgeless System's tooling, companies process ML data securely on public cloud infrastructure with verified encryption.

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Why data science & compliance teams love confidential AI

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End-to-end runtime encryption

Encrypt AI data end-to-end, even during training and implement state-of-the art data security.

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Excellent performance

Scale your AI workloads securely and with great performance.

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Set up within seconds

With Constellation, Confidential AI can be implemented easily.

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End-to-end verifiability

All pipelines are protected against unauthorized access with cryptographic proof.

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Data privacy on any cloud

Confidential AI can be implemented for ML data on AWS, Azure, and Google Cloud.

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Secure containerized AI apps

With Confidential AI, you can secure all ML workloads, without changing a line of code.

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Learn how MarbleRun enables Bosch’s confidential AI pipeline in the public cloud

Bosch set up a highly scalable AI pipeline on Microsoft Azure that provides encryption in key parts of the video and image processing mechanism. Everything is done respecting European regulations and privacy, with no loss to analysis capabilities, and at a reasonable cost, thanks to the flexibility of a public cloud.

Read the case study

Confidential AI available for GPU-based workloads

New NVIDIA GPU processors enable runtime encryption for AI workload security. The hardware will facilitate confidential AI software for GPU-based workloads, laying the foundation for trustworthy AI data processing.

Read our CEO's blog post on how How confidential computing and AI fit together.

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  • Everything always encrypted, even at runtime
  • Everything verifiable
  • Complete isolation from cloud infrastructure

Confidential AI solves data privacy and compliance for good

With Confidential AI, you can keep data always encrypted, even while in use. Confidential AI enables companies to train neural networks on encrypted data, in line with privacy laws and without the need for anonymization or tokenization.

With our enterprise product Constellation, AI workloads can be run in isolated clusters on AWS, Azure or Google. Our product enables lifting & shifting existing AI workloads securely. Confidential AI is the easiest way to become compliant with data privacy at scale.

Turn the public cloud into your private cloud.

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Any questions?

Interested in learning more about Confidential AI? Contact us!