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 ...

Homomorphic encryption is a transformative cryptographic method that permits computations to be executed directly on encrypted data without the need for decryption. This capability not only guarantees ...

As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. The pace of cloud adoption is relentless. Companies across every industry are racing to move ...

The Spanish-Belgian start-up Wodan AI has raised €2 million in a recent financing round. With this money, the company can ...

Following SK Telecom, a hacking incident at KT has occurred, spreading fears of personal information leaks. On the 21st of last month, Professor Cheon Jeong-hee from the Department of Mathematical ...

“AI, artificial intelligence, data protection is a field where South Korea can take first place in the AI industry.” Professor Cheon Jeong-hee of the Department of Mathematical Sciences at Seoul ...

A government-backed study in South Korea has developed an AI in medical imaging that has shown privacy-protecting capability. A research team led by Asan Medical Center (AMC), the country's biggest ...

Smart grid systems represent a substantial evolution in energy distribution and management by integrating advanced information and communication technologies with the power grid. One critical ...