As AI agents become more autonomous, strong identity, access, and auditing controls are critical to keeping them secure.

Threat actors compromised AsyncAPI packages and weaponized trusted CI/CD workflows to distribute malware through npm. This ...

Google LiteRT.js, released July 9, 2026, brings native browser AI inference to web developers by compiling Google's proven ...

Spread the love“`html Google Sheets has become a go-to tool for individuals and businesses alike, thanks to its powerful ...

OpenAI says GPT-Red automates prompt injection testing and helped GPT-5.6 Sol record sixfold fewer direct injection failures than GPT-5.5 in benchmark ...

I tested Claude Code, Codex, and OpenCode on real full-stack work: a Next.js feature, a backend bug, a legacy refactor, and ...

Agent observability, aka AgentOps, has emerged as a vital ecosystem of tools for keeping an eye on what AI agents and LLMs ...

I tested GPT-5.6 (ChatGPT Work) to streamline the job search. In this experiment, I reveal how Sol, Terra, and Luna help with ...

Meta Astryx design system is back on GitHub Trending, with a JSON manifest CLI that gives AI coding agents a machine-readable ...

LiteRT.js runs machine learning models locally with CPU, GPU and emerging NPU acceleration, potentially reducing server infrastructure, inference charges and data movement.