Which AI services does our company actually use?

Usually more than anyone has listed, and the gap is the point of finding out. A realistic list has four layers: the services you pay for on company accounts; AI features switched on inside software you already use, such as office suites, CRM, helpdesk and design tools; services staff reach with personal accounts in the browser or on desktop apps; and models running locally on laptops, build servers or GPU workstations. Start with what you know, from contracts, card statements and admin consoles, then add what the network shows. Group the results by business function, because finance, sales and development tend to use different tools for different data, and give each service a status: approved, tolerated for non-sensitive data, or to be replaced. The list is the basis for your AI policy, your AI Act literacy training and answers to customers. From the Pro plan, NetSenX shows which hosts reach which external AI services and local model runtimes, when, and how much data goes to each; it does not show what was typed.

This answer is part of the guide: Shadow AI: what it is and how to find it

← All 45 questions on AI use and AI securityAll topics