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.​ ...

ZoomInfo reports that successful AI integration into GTM relies on a hierarchy of Context, Timing, Targeting, and Content, ...

Model Context Protocol (MCP) is an open standard allowing AI agents to securely connect to external tools and data sources ...

References are one of the most widely accepted steps in hiring — and yet most people involved in the process quietly question ...

Moonshot AI's Kimi K2.6 can run agents for days without human intervention, exposing a critical gap in orchestration ...

GitHub is hardening Actions with deterministic dependencies, scoped secrets, and policy controls. Teams still need immediate ...

Media companies are using Microsoft AI to scale intelligent operations, personalize engagement, and unlock new monetization ...

Model context protocol server lets AI assistant tools like ChatGPT and Claude pull current API data to generate accurate code ...

Agentic AI is not a shortcut; it’s a new system of work. Enterprises that approach it with platform discipline aligning ...

Hundreds of organizations have been compromised daily by a Microsoft device-code phishing campaign that uses AI and automation at nearly every stage of the attack chain to ultimately snoop through ...