To secure regulatory approval and clinical adoption, algorithm developers have to prove the efficacy of their models but have difficulty accessing patient datasets without exposing their intellectual property or compromising patient privacy. To address this challenge, BeeKeeperAI has implemented its platform for validating algorithms on protected data sets maintained in the Azure HIPAA compliant cloud environments of each participating data steward.

The Azure confidential computing environment includes Intel® SGX secure application enclaves with minimal cyberattack surface. The keys for the encrypted data and model to move into the enclave for computing, allowing data stewards to keep sensitive patient data private while simultaneously enabling algorithm developers to test their encrypted models against the encrypted data. Through Azure, algorithm developers can access information from multiple data stewards to rigorously validate the generalizability of their algorithms.


BeeKeeperAI is now offering its insights on how to successfully validate AI within the confidential computing environment through its new workshop offered in the Azure Marketplace. The workshop addresses both the algorithm and data preparation, encryption, and uploading into the cloud environment (where they remain), ensuring that they are protected throughout the compute process.


About BeeKeeperAI
BeeKeeperAI is a pioneer in combining zero trust, confidential computing, and privacy-preserving analytics for the training, validation, and deployment of artificial intelligence (AI) in healthcare. BeeKeeperAI is accelerating the broader availability of AI-powered solutions that will help to redefine the future of healthcare.

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