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Advances in encryption, trusted execution environments (TEEs) and analytics now make it possible to protect privacy while sharing private data, unlocking and advancing new learning. Fortanix simplifies and secures the process of sharing private data without exposing it to other parties or violating privacy regulations. 

Private multi-party analytics can be applied to any case in which multiple parties have private data that needs to be combined and analyzed without exposing the underlying data or machine learning models to any of the other parties. The technology could be applied to preventing fraud in financial services, detecting or developing cures for diseases in the healthcare industry or gaining a business insight. 

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