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.

Commentary E-Discovery How to Manage Encrypted Data in Microsoft 365 Discovery With cyberattacks on the rise, Microsoft 365 provides several different ways for organizations to protect data. In doing ...

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 ...

Tokenization is emerging as a cornerstone of modern data security, helping businesses separate the value of their data from ...

Across most database types, in-use encryption is a sticking point when it comes to security and scalability. In-transit and at-rest data encryption are becoming table stakes for most large modern ...

Pervasive encryption that protects data not just in transit and at rest but in use — thus freeing companies of the fear of data breaches — has long been a dream of business executives, IT teams, and ...

Encryption is a term that many of us have come across, but what does it mean? To put it simply, encryption is the encoding of information. Various online services use it to keep your data private and ...

Good news for ransomware victims: Researchers have released a free tool on GitHub that they say can help victims of intermittent encryption attacks recover data from some types of partially encrypted ...