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 ...

A prompt injection attack hit Claude Code, Gemini CLI, and Copilot simultaneously. Here's what all three system cards reveal ...

Toxic combinations form when AI agents, integrations, or OAuth grants bridge SaaS apps into trust relationships no single ...

Compare Rocket.new vs Bolt.new to understand the key differences between an end-to-end development platform and a ...

Google unveiled Deep Research and Deep Research Max, new Gemini 3.1 Pro-powered AI agents that combine web search, ...

The design example shows OTA firmware update performed on a microcontroller using the "staging + copy" method.

In a structural departure from AI assistant add-ons, new agent architecture gives AI peers the same roles, permissions, ...

Patching is not enough: applications embedding the insecure library will need to be rebuilt, and affected tokens and cookies expired. Developers are advised to check their applications after Microsoft ...

Google launches AI agent suite at Cloud Next 2026 with Workspace Studio, A2A protocol at 150 orgs, and Project Mariner. The pitch: only Google owns the full stack.

Docupilot, a document automation software that helps businesses eliminate manual document creation, today announced key product enhancements, including automation-first, API-ready eSignature support, ...