Partnership with SEMIFIVE and Samsung Foundry marks key milestone in bringing encrypted computation into real-world ...
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 ...
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 ...
Now imagine another approach: instead of letting the jewelers have your pile of raw gold, it stays inside a locked box. Only you have the key. By inserting their hands into the box, the jeweler can ...
In an X Space broadcast hosted on6, Fhenix founder Guy Zyskind dived into how the firm’s newest product - Fully Homomorphic ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. In this episode, Thomas Betts chats with ...
Confidential computing, quantum safe cryptography, and fully homomorphic encryption are set to change the future of data privacy as they make their way from a hypothesis to viable commercial ...
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 ...
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 ...
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 ...
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 ...