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

Explore how AI-driven threat detection can secure Model Context Protocol (MCP) deployments from data manipulation attempts, with a focus on post-quantum security.

The new AI Document Creation tool generates professional contracts, policies, proposals and reports from simple prompts in seconds-no templates or blank-page starts required ...

Part-time work often gets a reputation for offering lower pay, but that’s not always true. In many industries, there are good ...

Abstract: In this article, a novel locally active memristor (LAM) model is designed and its characteristics are studied in detail. Then, the LAM model is applied to couple FitzHugh-Nagumo (FHN) and ...

Japanese e-commerce giant Askul Corporation has confirmed that RansomHouse hackers stole around 740,000 customer records in ...

OpenAI recently patched a Codex CLI vulnerability that can be exploited in attacks aimed at software developers.

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 ...

We don’t know exactly what he said, but in 1971, Ray Tomlinson used Arpanet to send the first email ever. You can bet he was only thinking about getting the message to its destination, not about ...

In a buyer-led world defined by AI, trust has become the driver of early buyer preference and long-term revenue.