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.

Increasingly, APIs are being accessed by autonomous systems capable of deciding how and when to interact with those APIs.​ ...

Big Oil and ag groups are trying to rally lawmakers to support a new year-round E15 measure that a coalition of independent ...

A developer needs to connect a service to an API. The documentation says to generate an API key, store it in an environment variable and pass it in a header. Five minutes later, the integration works.

So when it comes to models that the general public can access, GPT-5.5 has retaken the crown for OpenAI, achieving the ...

The connected health data company opens its health data platform to every developer and builder, with full support for agentic workflows - free to start, no contract, no sales call required ...

This isn't about rejecting large models; it's about having the engineering discipline to use smaller, specialized models ...

A new financially motivated hacking group tracked as BlackFile has been linked to a wave of data theft and extortion attacks ...

In 2026, AI threats shift from data leaks to operational chaos. Shadow agents with high-privilege access risk enterprise ...

Large enterprises manage an average of 1,295 SaaS applications and over 14,000 internal APIs. PARIS, ÎLE-DE-FRANCE, ...

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