Developers are leaning more heavily on AI for code generation, but in 2026, the development pipeline and security need to be ...

In 2025, large language models moved beyond benchmarks to efficiency, reliability, and integration, reshaping how AI is ...

ESET researchers provide a comprehensive analysis and assessment of a critical severity vulnerability with low likelihood of ...

An agentic AI-based approach to end-to-end bug resolution using both error logs and waveforms.

A malicious package in the Node Package Manager (NPM) registry poses as a legitimate WhatsApp Web API library to steal ...

Apple released their new iPhone 17 series a few months ago, but aside from the new features and improvements, the most exciting security feature of these new phones was not even mentioned in its ...

For much of the last two years, multi-agent systems have been treated as the natural next step in artificial intelligence. If one large language model can reason, plan, and act, then several working ...

Why it's essential to combine sign-off accuracy, iterative feedback, and intelligent automation in complex designs.

Utilize AI to analyze application runtime data (e.g., rendering time, communication latency), obtain optimization suggestions (such as reducing component re-rendering, reusing hardware connections), ...

Snowflake Inc. is reportedly in talks to acquire Observe Inc., a startup with a cloud-based observability platform of the ...

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.

First and foremost, I don't recommend doing this yourself. I created an isolated virtual machine and used a firewall to prevent it from access the rest of my home network. Then I downloaded malware ...