At the Open Source Summit in Mumbai, Torvalds discusses the pain and power of AI in the kernel, and why Linux no longer ...

In the brief history of AI security, the prompt injection has quickly become the top threat. Large language models are ...

A comparison of eight AI-powered requirements management platforms for 2026, from NLP-based quality analysis and automated test generation to live traceability scoring, covering Jama Connect, IBM ...

LevelBlue says QuimaRAT uses encrypted plugins, OS-specific persistence, and JNA libraries to control Windows, Linux, and ...

Prompt engineering tools help optimize AI-generated responses. Discover the best tools, compare features, and find the right ...

Linux has a wealth of applications, but sometimes the smaller tools get overlooked. Here's a list of those I'd prefer never ...

Azul’s free risk assessment for Java estates addresses the blind spot that autonomous AI exploitation tools are increasingly ...

A GitHub issue argues Microsoft's .NET LTS support is too short for enterprise upgrade cycles, with half of deployments running unsupported versions.

Spring AI 2.0 advances the Java framework for generative AI apps with a Spring Boot 4 baseline, cleaner agentic tooling, Model Context Protocol support and vendor-backed integrations including Azure ...

A wave of recent product updates suggests the competition among AI coding tools is moving beyond autocomplete and chat toward long-running agents that can understand projects, invoke tools, and carry ...

As enterprises embrace agentic AI and vibe coding, Secure Code Warrior CEO and co-founder Pieter Danhieux warns that ...