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 ...

AI and privacy needn’t be mutually exclusive. After a decade in the labs, homomorphic encryption (HE) is emerging as a top way to help protect data privacy in machine learning (ML) and cloud computing ...

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 ...

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 ...

Data theft and data loss is an endemic problem on the internet. According to the firm Risk Based Security (via TechRepublic), 2020 alone saw 3,932 publicly disclosed breaches with 37 billion records ...

A few years ago, mentioning homomorphic encryption (HE) among colleagues in the security space, much less in a business context, would either elicit blank stares or a sigh, followed by a hopeful "if ...

Privacy is a core concern in crypto. Once you know a crypto wallet address corresponds to a certain individual, you can track all the transactions that individual has ...

The history of homomorphic encryption stretches back to the late 1970s. Just a year after the RSA public-key scheme was developed, Ron Rivest, Len Adleman, and ...

How FHE has evolved from a theoretical concept to a practical technology that’s ready for real-world applications. The unique benefits and challenges of implementing FHE, including why specialized ...

Confidence in the electoral system is fundamental to a healthy democracy. But when a Gallup poll last year asked people if they had faith in the honesty of elections, 59% of Americans said they did ...