---
title: "Enable AI usage tracking | Lansweeper Platform"
slug: "enable-ai-usage-tracking"
description: "Enable AI usage tracking in the Lansweeper Platform to monitor AI usage across your site. Currently an early access feature and subject to change."
updated: 2026-06-12T14:04:27Z
published: 2026-06-12T14:04:27Z
canonical: "docs.lansweeper.com/enable-ai-usage-tracking"
---

> ## Documentation Index
> Fetch the complete documentation index at: https://docs.lansweeper.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Enable AI usage tracking

Early access feature

              

AI usage tracking is currently in early access. Features, pricing, and packaging are subject to change.

With AI usage tracking, you can see where and how AI services and tools are being used across your environment, based on signals collected by your IT Agents and IT sensors.

Capturing AI-related activity from Windows, Linux, and macOS devices is **disabled by default**, and must be explicitly enabled per discovery action.

[Embedded content](https://www.youtube.com/embed/NfgJDbwveXc)

## Enable AI tracking per discovery action

You can enable or disable AI usage tracking per discovery action, giving you clearer control over how AI-assisted discovery is monitored in your environment.

To enable or disable AI tracking:

1. In your site, go to **Discovery** > **Actions**.
2. Select the discovery action you want to configure.
3. In the discovery action’s details page, enable or disable **AI usage tracking**.

You can keep track of discovered AI services and tools by going to **Dashboards** > **All dashboards** > **AI Asset Management**.

### Personalize the AI Asset Management dashboard

The AI Asset Management dashboard comes with pre-configured filters that cover the most common AI sources. Since default dashboards are read-only, you'll need to duplicate it before you can make changes.

To personalize the dashboard:

1. Go to **Dashboards** > **All dashboards** > **AI Asset Management**.
2. Select **Duplicate**.
3. Select a dashboard item, then choose **Data** > **Filters** to filter by specific AI sources.
4. Select **Close editor** when you're done.

You can also [create a dashboard](/docs/create-dashboards) from scratch, though starting from the duplicate gives you all the existing filters as a foundation.

              Filter your dashboard

              

For more information on filtering your dashboard, see [Filter dashboards](/docs/filter-dashboards).

## Scope of AI usage tracking

Below is the scope of signals typically captured when AI usage tracking is enabled.

### Network & communication

- Network traffic analysis: detects connections to known AI services (for example, OpenAI, Anthropic, Google AI, Microsoft Copilot), including 14-day historical tracking.
- Browser history scanning: identifies visits to AI platforms across Chrome, Firefox, and Edge.
- Event log analysis (Windows): monitors Windows event logs for AI-related network activity indicators.

### Software & applications

- Installed software detection: scans for locally installed AI applications (for example, ChatGPT, Cursor, Ollama, LM Studio, Stable Diffusion, TensorFlow, PyTorch).
- Browser extension detection: identifies AI-powered browser extensions (for example, GitHub Copilot, ChatGPT extensions).
- IDE/plugin detection: detects AI coding assistants in IDEs (for example, VS Code, Visual Studio, IntelliJ, and other JetBrains IDEs).

### Local AI infrastructure

- Local AI server detection: detects running AI model servers (for example, Ollama, LM Studio, GPT4All, Jan, ComfyUI).
- Browser-cached AI model indicators: scans browser storage (for example, IndexedDB/LocalStorage) for indicators of cached AI models and WebGPU inference components.

### Security & compliance indicators

- API key/credential indicators: identifies stored AI service credentials (for example, in environment variables or configuration files).
- Cached AI data indicators: detects locally stored AI model data and inference artifacts.