As AI is embedded inside systems, teams must design APIs with governance, observability and scalability in mind.

Explore how AI-driven anomaly detection enhances the security of Model Context Protocol (MCP) deployments, protecting AI infrastructure from evolving threats with real-time insights.

Discover how quantum-resistant key management secures AI model deployments, protecting against quantum computing threats with advanced encryption and zero-trust strategies.

Turn photos into 3D with Meta's SAM 3D, using SAM 2 masks and Gaussian splatting, so you can build assets quickly for ...

Explore the top 7 Web Application Firewall (WAF) tools that CIOs should consider in 2025 to protect their organizations from online threats and ensure compliance with emerging regulations.

TL;DR Introduction I first encountered the chatbot as a normal Eurostar customer while planning a trip. When it opened, it ...

Z.ai released GLM-4.7 ahead of Christmas, marking the latest iteration of its GLM large language model family. As open-source models move beyond chat-based applications and into production ...

AI projects are not for the faint-hearted – they need to be properly resourced with the different skills required: data ...

Appdome has announced at Black Hat Europe the release of the industry’s first Agentic AI SecOps Agent designed to ...

These aren't simple chatbots anymore—these AI agents access data and tools and carry out tasks, making them infinitely more ...

Ingram Micro Xvantage is reshaping IT distribution with an AI-powered, platform-driven model that simplifies complexity, boosts automation, and accelerates partner growth. Sanjib Sahoo, President, ...