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TripleBlind is superior to existing solutions such as homomorphic encryption (slows compute performance), secure enclaves (siloes data), tokenization/masking/hashing and differential privacy (reduces accuracy), synthetic data (not real data), federated learning (limited use for algorithms), confidential computing (requires data centralization) and blockchain (not interoperable). Innovators such as Accenture, the Mayo Clinic, and Snowflake trust TripleBlind to protect sensitive data. Please contact us for an overview, live demo, or a one-hour, hands-on workshop.

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