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 ...

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 ...

Dr. Rand Hindi is CEO at Zama. He is a serial entrepreneur and investor with expertise in privacy, AI and blockchain. The purpose of a blockchain is to reach a consensus on a common state. To remain ...

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.

Regardless of the strength of data’s encryption, more and more potential vulnerabilities surface in data security as more people are granted access to sensitive information. However, a relatively new ...

Payment card industry (PCI) compliance is one of the most exhaustive compliance frameworks available today. This framework contains 12 security domains and 300-plus controls to be deployed. Nearly all ...

Fully Homomorphic Encryption (FHE) is a revolutionary cryptographic technique that allows for computations to be performed on encrypted data without needing to decrypt it first. Imagine you have a ...