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 ...

Duality, a startup founded by groundbreaking cryptographers and data scientists that is building tools to make it easier for companies to share data and collaborate with each other without ...

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 ...

A new technical paper titled “Leveraging ASIC AI Chips for Homomorphic Encryption” was published by researchers at Georgia Tech, MIT, Google and Cornell University. “Cloud-based services are making ...

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 ...

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 ...

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 ...

Last couple of years has seen the development of different technologies, with blockchain considered to be one of them. In the current context, the technology is believed to be important because of ...