Security tooling is not written in a single language. Python powers most automation. C sits at the exploit layer. PowerShell ...

Retrieval-augmented generation enhances the performance of AI agents by expanding their recall. It can do this in three ...

Jupyter Notebook is a tool to run and write Python code easily, showing results right away, and allowing you to combine code, charts, notes, and files in one place ...

This study from Suganthan reveals hidden fields in ChatGPT's network traffic that decide which sources get fetched, cited, or ...

See how LLMs, APIs and scripts cut busywork, uncover AI search signals and help teams move faster without ditching core SEO ...

SentinelOne says macOS.Gaslight uses prompt injection to mislead AI-based malware analysis, steal data, and use Telegram for ...

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 ...

Q&A: Temporal aims to be the reliability backbone for an agentic AI economy Temporal Co-founder and CEO Samar Abbas weighs in on AI reliability, execution and what IT decision-makers should to keep in ...

Erik Steiger discusses the operational pain of legacy PDF generation in regulated banking and manufacturing. He explains how ...

Ongoing research into AI agent framework security identified an exploit chain in AutoGen Studio (AutoGen’s open-source prototyping user interface) that allows untrusted web content rendered by a ...

Most organizations know they need to govern agentic output. Far fewer have a clear, practical path to doing so. Today, Sonar, a global leader in AI code verification, governance, and efficiency is ...

Text-to-CAD tools are beginning to generate useful 3D models from prompts, but the most important missing feature is not geometry — it is intent.