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 ...

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 ...

Data has been called the new oil—the 21st century's most valuable commodity. Due to this value, we have entered an era where data breaches are not just a threat but a frequent headline. Regardless, ...

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 ...

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 ...

Yesterday, Ars spoke with IBM Senior Research Scientist Flavio Bergamaschi about the company’s recent successful field trials of Fully Homomorphic Encryption. We suspect many of you will have the same ...

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 ...

Secure cloud data processing has become a critical issue in recent times and while general network security techniques such as Virtual Private Networks could be used for securing the end-to-end ...