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.
Isolating AI pipelines end-to-end for data privacy compliance
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.
Why data science & compliance teams love confidential AI
End-to-end runtime encryption
Encrypt AI data end-to-end, even during training and implement state-of-the art data security.Learn more
Scale your AI workloads securely and with great performance.
Set up within seconds
With Constellation, Confidential AI can be implemented easily.
All pipelines are protected against unauthorized access with cryptographic proof.
Data privacy on any cloud
Confidential AI can be implemented for ML data on AWS, Azure, and Google Cloud.
Secure containerized AI apps
With Confidential AI, you can secure all ML workloads, without changing a line of code.
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.
Interested in learning more about Confidential AI? Contact us!