TripleBlind, creator of the most complete and scalable solution for privacy enhancing computation, was featured in a new report from analyst firm, Omdia. The report, “On the Radar: TripleBlind Enables Secure Data for Third-Party Processing,” is now available on the TripleBlind and Omdia websites.
Rik Turner, principal analyst, Emerging Technologies and author of the report noted, “This issue (data collaboration) has arisen of late because analysis of big datasets can achieve unique insights, that is, ones that analysis of smaller datasets simply cannot surface. This is particularly important in certain fields such as healthcare, where the analysis of the data of millions of patients can indicate general trends in an entire population or in particular demographic groups.”
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The report compares TripleBlind to other privacy-enhancing technologies (PET) as follows:
- Homomorphic encryption “tends to be quite slow and is very compute intensive. There are also academic debates about whether homomorphic encryption is quantum-resistant.”
- Confidential computing “does not address the issue of data anonymization and is hardware dependent.”
- Differential privacy “like homomorphic encryption, cannot operate on audio or video files.”
Turner adds that TripleBlind’s solution is complementary to confidential computing “in that it can deliver the encryption/anonymization capability that confidential computing itself does not.” He notes that TripleBlind is also complementary to differential privacy.
“Healthcare is the place where third-party analytics delivered on securely private data has so far generated the most immediate interest. That said, tech such as TripleBlind’s is clearly relevant elsewhere as its financial services customers demonstrate,” Turner concluded.
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