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.

Attackers can abuse the near-maximum severity flaw in nginx-ui to restart, create, modify, and delete NGINX configuration ...

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

CVE-2026-33032 exposes nginx-ui to unauthenticated takeover via MCP endpoint, impacting 2,600+ instances with active ...

Say “publish this as a website” and your AI agent handles the rest: it builds the file, uploads it, and hands you a ...

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

A multi billion dollar paradox exists in the modern cryptocurrency landscape. In 2025 alone, the global Web3 ecosystem ...

U.S. Citizenship and Immigration Services (USCIS) issued a Request for Information from on remote document authentication and ...

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

Late last year, social media debated whether MCP is dead because applications can use a command line interface (CLI) instead ...

Digital leaders are seeing an increasing amount of automated bots crawling their estates and driving up costs, as well as ...

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