Fabric Cryptography, a hardware startup by MIT and Stanford dropouts (and married couple) Michael Gao and Tina Ju, wants to make modern cryptographic techniques like zero-knowledge proof (which lets ...

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 ...

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

The homomorphic encryption market is expected to cross valuation of USD 300 million by 2030, as reported in a research study by Global Market Insights Inc. A significant increase in research and ...

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 ...

Privacy is a core concern in crypto. Once you know a crypto wallet address corresponds to a certain individual, you can track all the transactions that individual has ...

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 ...

Craig Gentry, a cryptographer working at IBM’s Thomas Watson Research Center in the suburbs outside New York City, recently received a phone call that changed his life. His passion, an experimental ...