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 ...

Newer languages might soak up all the glory, but these die-hard languages have their place. Here are eight languages ...

NIST’s post-quantum public key encryption algorithm ML-KEM (a.k.a. CRYSTALS-Kyber) reduces to the hardness of solving ...

Gartner forecasts profound disruptions from AI: from AI as a magician to new dependencies and billions in costs due to regulation.

Most organizations operate under a dangerous misconception that their data is safe with encryption at rest and in transit.

The RansomHouse ransomware-as-a-service (RaaS) has recently upgraded its encryptor, switching from a relatively simple single ...

When the IBM PC was new, I served as the president of the San Francisco PC User Group for three years. That’s how I met PCMag’s editorial team, who brought me on board in 1986. In the years since that ...

Toby Walters is a financial writer, investor, and lifelong learner. He has a passion for analyzing economic and financial data and sharing it with others. Credit card encryption helps prevent theft of ...

Jennifer Simonson is a business journalist with a decade of experience covering entrepreneurship and small business. Drawing on her background as a founder of multiple startups, she writes for Forbes ...