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.

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

Vercel breached after attacker compromised Context.ai, hijacked an employee's Google Workspace via OAuth, and accessed ...

Lovable's API exposed source code and database credentials for 48 days after the company closed a bug report. Up to 62% of AI ...

The vulnerability, with a CVSS score of 9.8, relates to the software’s support for Model Context Protocol (MCP) servers, ...

Cloudflare, a leading connectivity cloud company, is expanding its Agent Cloud with new features to help developers build, deploy, and scale agents. According to the company, this suite of ...

Plugins for AI coding tools sound like complex infrastructure. In practice, Markdown files and an HTTP API are sufficient.

How mature is your AI agent security? VentureBeat's survey of 108 enterprises maps the gap between monitoring and isolation — ...

Capability without control is a liability. If your AI agents have broad credentials and unmonitored network access, you haven ...

Snowflake Intelligence gains automation features, while Cortex Code will be able to access more data sources in more ways.

In late 2024, Chinese models accounted for one percent of global AI workloads. By the end of 2025, that figure had surged to ...

The moment AI agents started booking meetings, executing code, and browsing the web on your behalf, the cybersecurity conversation shifted. Not slowly, but instead overnight.What used to be a ...