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 ...

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 ...

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

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More The topics of security and data have become almost inseparable as ...

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 ...

As companies scramble for tougher shields against genAI risks, homomorphic encryption steps into the spotlight, bringing a unique superpower: it can crunch encrypted data without ever cracking it open ...

Homomorphic encryption, a complex technique that uses cryptographic algorithms to keep data secure as it travels around networks and to third parties, continues to elude mass-market scalability and ...

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 ...

Forbes contributors publish independent expert analyses and insights. Dave Altavilla is a Tech Analyst covering chips, compute and AI. In the Tech sector there are few areas of the market that are as ...

Baffle Advanced Encryption was designed to overcome the barriers to adopting encryption for analytics. Here’s how it enables compliant, privacy-enhanced computation. For years, data teams worked with ...