Schrems II: part II image

Part II: The Private Solution to the Schrems II Decision Turmoil

In July 2020, the court of Justice of the European Union officially made their decision on Schrems II finding that the EU-U.S. Privacy Shield Framework, on which more than 5,000 U.S. companies rely to conduct trans-Atlantic trade in compliance with EU data protection rules, was invalid. Since then, companies have had to reevaluate their transatlantic data sharing operations through a case-by-case analysis, costing time and money to achieve the required level of compliance.

TripleBlind has the solution to this turmoil. We discussed this topic before the decision was made, our technology allows entities to comply with these new standards and achieve their business objectives regardless of location. Deploying TripleBlind enables enterprises to share data and collaborate with other enterprises with confidence, knowing that TripleBlind enables them to automatically enforce HIPAA, GDPR and other regulatory standards. 

We built TripleBlind to remain future-proof by creating a solution that automatically complies with even the strictest standards. Our blind de-identification process is TripleBlind’s novel method of data de-identification via one-way encryption, allowing all attributes of the data to be used, even at an individual level, while eliminating any possibility of the user of the data learning anything about the individual. Meaning, data is legally de-identified in real time with practically 0% probability of re-identification. 

TripleBlind enables the processing and analyzing of sensitive data without ever moving it across borders. The data always remains encrypted, de-identified and is completely blind to TripleBlind and data consumers.

See our graphic below for a visual summary of how TripleBlind solves the Schrems II turmoil.

TripleBlind Schrems II Solution Diagram

TripleBlind has the only private, encrypted and de-identified aggregated analysis pipeline. EU data stays within boundaries, and enterprises are able to efficiently and cost effectively share all types of data, even data that traditionally can’t be de-identified, such as genetic data. 

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