Shadow AI is already on your endpoints. AI Governance shows you which tools are running, tracks spend by device and project, enforces scoped access to the AI you have sanctioned, and turns all of it into audit-ready reports. Accountability through visibility, not surveillance.
You can't govern what you can't see. Netaxis detects AI tools on the endpoints you manage and gives you a clear, fleet-wide picture, without reading anyone's content.
The agent recognises AI applications and assistants in use on each device against a maintained signature set, so you learn what's actually deployed across the fleet instead of guessing.
A fleet-wide inventory of detected AI tools, drillable to any single machine, with new tools surfacing as they appear rather than at the next audit.
For AI usage running through Netaxis, costs are attributed down to the device and project, so AI spend stops being an untraceable line item and becomes something you can report, allocate, and forecast.
Token and cost accounting per device and project shows where AI spend actually concentrates, and makes charging it back to teams or clients straightforward.
AI usage attributed to the device and project that incurred it, reportable instead of hidden in scattered subscriptions.
Visibility is the start. Netaxis lets you control who can reach sanctioned AI and keeps a defensible trail of what happened.
Grant access to sanctioned AI capabilities on a per-project basis, with least-privilege defaults, so teams reach the tools they're approved for and nothing more.
Access grants, policy changes, and actions are recorded, giving you a clear history when a client, an auditor, or your own leadership asks.
Turn detection, access, and spend into a shareable AI-usage report. Useful for client reviews, internal policy, and demonstrating you have AI use under management.
Netaxis AI Governance is built on a deliberate boundary. It tells you what AI tools are in use and how much they cost. It does not read prompts, capture conversations, or inspect browsing content. It is designed to make AI use accountable, not to monitor your people.
The whole module is opt-in per organisation. It stays off until you deliberately turn it on, so adopting AI Governance is a decision you make, not a default imposed on you.
Assistants and agents are on endpoints across every organisation, usually before anyone has written a rule about them. Visibility is the first control.
AI costs hide in personal accounts and scattered subscriptions. Attributing spend to device and project makes it manageable.
"How do you govern AI use?" is becoming a standard question. AI Governance lets you answer it with evidence rather than assurances.
Book a live demo and we'll show you discovery, spend tracking, and reporting on a real fleet, and exactly where the privacy line sits.