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Intel, Microsoft Research and Duality Technologies are bringing nearly 100 security, privacy and artificial intelligence (AI) community members together to create standards for homomorphic encryption.

Duality’s solution? Homomorphic encryption. And some Big Tech companies are already interested in it.

Duality lets organizations collaborate on data science without sharing the actual data or data models. They accomplish this with homomorphic encryption, which allows data to remain encrypted across the entire sharing and analysis cycle.

The Future of Privacy Forum (FPF) and the Israel Tech Policy Institute launch the Privacy Tech Alliance at a time when the privacy tech market has taken a great leap forward.

Let’s say you are a lender assessing the creditworthiness of a customer for a loan. Today, you typically send that customer’s private data (PII) over to a credit bureau, where they would run their own algorithms to provide a score, or detect a fraud attempt. That used to be an acceptable data exchange…

Security is finally becoming data oriented with the advent of GDPR and data lifecycle management.

In this age of big data, enterprises collect more types of valuable data via more channels than ever before.

Duality’s collaboration platform rides homomorphic encryption to a second-place finish.

A new technology could make it easier to write apps that don’t have to decrypt data and, therefore, improve security without a compromise made for development.

A company founded by one of cryptography’s heavyweights is making waves with a long-awaited approach to the data privacy problem.