TL;DR AI risk doesn’t live in the model. It lives in the APIs behind it. Every AI interaction triggers a chain of API calls across your environment. Many of those APIs aren’t documented or tracked.

Every secure API draws a line between code and data. HTTP separates headers from bodies. SQL has prepared statements. Even email distinguishes the envelope from the message. The Model Context Protocol ...

The China-linked APT GopherWhisper has been using legitimate services and various Go-based backdoors in attacks.

Google LLC has released two artificial intelligence agents that can generate research reports about user-specified topics.

Overview RAG is transforming AI apps, and vector databases are the engine behind accurate, real-time responsesChoosing the ...

Octen, a startup with software that enables artificial intelligence agents to search the web, launched today with $10 million ...

New research from Bain – alongside Temenos – shows how cloud cores, AI and data strategies are redefining competitiveness ...

Meta has also updated Facebook views and business discovery feature, where metrics on the Insights endpoint have been ...

Google Gemini Deep Research and Deep Research Max help build AI research workflows. Here’s all that you should know.

At Cloud Next 2026 yesterday, Google revealed new Tensor Processing Units and Workspace Intelligence, an AI layer that ...

Put simply: these agents can be created and accessed from ChatGPT, but users can also add them to third-party apps like Slack ...

A previously undocumented state-backed threat actor named GopherWhisper is using a Go-based custom toolkit and legitimate ...