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 phrase Homomorphic Encryption might sound heavy, specially if you are hearing it for the first time, but its whole purpose is to simplify your database and information solutions. Let’s try to ...

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 ...

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 ...

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 ...

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 ...

This partnership marks the first time fully homomorphic encryption is being used to secure AI agents, ensuring unparalleled data privacy and security for users. A groundbreaking demo that displays ...

Secure cloud data processing has become a critical issue in recent times and while general network security techniques such as Virtual Private Networks could be used for securing the end-to-end ...

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, ...