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

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

EFY built a DIY real-time messaging system with AES-256 encryption that keep messages and sensor data secure, even over Wi-Fi ...

Overview: Windows PCs can be securely encrypted without BitLocker using powerful third-party tools and built-in EFS ...

Overview:  Free Gemini users give up more data than they realize, including human review and model training.Paid and ...

PCIe is a widely used high-speed standard to connect hardware peripherals and components, including graphics cards, sound ...

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

Swiss public-sector data protection officers say controlling the geographic location of cloud data isn’t enough: governments must hold the encryption keys too.

The assessment service includes creation of a cryptographic bill of materials to map where and how encryption is used across ...

Proton has a new productivity app in Proton Drive called Proton Sheets, which is an end-to-end encrypted spreadsheet editor ...

HPC and AI providers (have) a challenge and an opportunity. They must reimagine how to secure sensitive data without ...

UAE knows encryption is not a niche technical safeguard but rather the silent infrastructure that secures everything, says ...