Fully Homomorphic Encryption (FHE) for years has been a promising approach to protecting data while it’s being computed on, but making it fast enough and easy enough to use has been a challenge. The ...

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

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 ...

This article seeks to provide a practical understanding of the risks posed by quantum computing on modern day encryption standards. In assessing those risks, companies and individuals should consider ...

Most organizations operate under a dangerous misconception that their data is safe with encryption at rest and in transit.

The widespread encryption of data while stored on disk and communicated through the network — often called "at rest" and "in transit" — are critical security measures to protect business and personal ...