Whitepaper: Confidential Computing for AI, MLOps and LLMOps
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Confidential Clean Rooms: Use Cases

AI models can use encrypted data clean rooms by leveraging confidential computing techniques without costly and slow homomorphic encryption. Download the best practices on how sensitive data can be encrypted before being shared with third-party partners or researchers, and AI models can then be trained on the encrypted data without ever seeing the actual data itself.

  • Privacy protection: Allows companies to share sensitive data with third-party partners without compromising the privacy of individuals
  • Security: Avoids any data leakage or security breaches
  • Compliance: Complies with these regulations while still sharing sensitive data with third-party partners or researchers
  • Collaboration: facilitate collaboration between companies, federated learning and third-party partners or researchers