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 ...

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 ...

Data has been called the new oil—the 21st century's most valuable commodity. Due to this value, we have entered an era where data breaches are not just a threat but a frequent headline. Regardless, ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Cory Benfield discusses the evolution of ...

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 ...

Forbes contributors publish independent expert analyses and insights. Dave Altavilla is a Tech Analyst covering chips, compute and AI. In the Tech sector there are few areas of the market that are as ...

The ubiquity of APIs and cloud solutions have opened up a world of interesting ways for businesses to create a service without having to build every part of it themselves. But they have unleashed ...