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 ...

CryptoLab and UClone have partnered to integrate fully homomorphic encryption into UClone’s AI agent platform, creating the first consumer-facing AI agents with end-to-end encrypted data privacy, ...

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 ...

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 ...

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 ...

In early 2014, an incident that shocked the entire nation occurred. It was a massive customer data leak from KB Kookmin Card, NH Nonghyup Card, and Lotte Card. The incident, in which an outsourced ...

As companies scramble for tougher shields against genAI risks, homomorphic encryption steps into the spotlight, bringing a unique superpower: it can crunch encrypted data without ever cracking it open ...

Encryption is a well-known solution to avoid sensitive data exposure in times of privacy and security concerns. But encryption is only generally available for data at rest and data in transit, leaving ...