Introduction: The Evolution of Browser Security For two decades, the web browser served as the primary security frontier for digital interactions. The logic was clear: the browser represented the lens ...

Vibe coding isn’t just prompting. Learn how to manage context windows, troubleshoot smarter, and build an AI Overview ...

The company open-sourced an 8 billion parameter LLM, Steerling-8B, trained with a new architecture designed to make its ...

Exposed endpoints quietly expand attack surfaces across LLM infrastructure. Learn why endpoint privilege management is important to AI security.

Enter large language model (LLM) evaluation. The purpose of LLM evaluation is to analyze and refine GenAI outputs to improve their accuracy and reliability while avoiding bias. The evaluation process ...

AI doesn’t just simulate human thinking and language—it mimics our cognitive biases too. Overconfidence is one of the most powerful and overlooked issues.

Researchers from the University of Maryland, Lawrence Livermore, Columbia and TogetherAI have developed a training technique that triples LLM inference speed without auxiliary models or infrastructure ...

With reported 3x speed gains and limited degradation in output quality, the method targets one of the biggest pain points in production AI systems: latency at scale.

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The new tool, now testing as part of Claude Code, can scan codebases for security vulnerabilities and suggest targeted ...