We are all familiar with encryption of data-at-rest and data-in-transit, but can encryption also protect data-in-use? An emerging field of Privacy Enhancing Technologies brings a new class of cryptography solutions to market that enable data science to be performed on multiple, highly sensitive data sources, all while preserving encryption. This opens up new worlds of possibilities for data scientists who can now gain access to previous unavailable data sources. But how is it possible?
Join Marcelo Blatt, VP Data Science and Ronen Cohen VP of Strategy, at Duality for a first hand walk through of a real world business scenario that expertly combines cryptography and data science to perform queries and statistical analysis on large, disparate datasets, all under the veil of encryption.
