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 ...

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 ...

Discover how homomorphic encryption (HE) enhances privacy-preserving model context sharing in AI, ensuring secure data handling and compliance for MCP deployments.

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 ...

Explore homomorphic encryption for privacy-preserving analytics in Model Context Protocol (MCP) deployments, addressing post-quantum security challenges. Learn how to secure your AI infrastructure ...

SAN FRANCISCO, April 28, 2025 /PRNewswire/ -- CryptoLab, a leader in fully homomorphic encryption cryptography solutions, and UClone, a pioneer in personalized AI, today announced a collaboration to ...

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, ...