Modern cryptography is embedded in countless digital systems and components. It's an essential tool for keeping data secure and private. Yet one of the biggest limitations with cryptography, including ...

This story is part of The Privacy Divide, a series that explores the fault lines and disparities–economic, cultural, philosophical–that have developed around ...

A startup named Ravel claims breakthroughs in fully homomorphic encryption, a hotly-pursued method for analyzing encrypted data without ever decrypting it. Now imagine another approach: instead of ...

Organizations are starting to take an interest in homomorphic encryption, which allows computation to be performed directly on encrypted data without requiring access to a secret key. While the ...

What do you do when you need to perform computations on large data sets while preserving their confidentiality? In other words, you would like to gather analytics, for example, on user data, without ...

The problem with encrypted data is that you must decrypt it in order to work with it. By doing so, it’s vulnerable to the very things you were trying to protect it from by encrypting it. There is a ...

Homomorphic encryption has emerged as a pivotal tool for preserving data confidentiality in networked control systems, where sensors, controllers and actuators exchange sensitive information over ...

A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...

Steve Orrin is the federal CTO for Intel Corporation. He has held architectural and leadership positions at Intel, driving strategy and projects on identity, anti-malware, HTML5 security, cloud and ...

Banco Bradesco, S.A., a prominent Brazilian financial institution, has for the past year been working with IBM Research to apply a technique called homomorphic encryption to banking data. The pilot ...