--- title: "Enable AI usage tracking | Lansweeper Platform" slug: "enable-ai-usage-tracking" description: "Turn on AI usage tracking per discovery action in Lansweeper Platform to detect AI tools from IT Agent and IT sensor signals. Early access and off by default." status: "update" updated: 2026-10-21T14:20:07Z published: 2026-10-21T14:20:07Z 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 Plan availability: Available on Pro and Enterprise plansRelease stage: Currently in early access Where AI usage data comes from AI usage data is collected only by Network Discovery and IT Agent Discovery, and only for discovery actions where **AI usage tracking** is enabled. Data from other sources, such as the Classic scanner, does not appear in the AI asset management dashboard. If the dashboard is empty, check that one of these is set up and that tracking is turned on. 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 Network Discovery. 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). ## Review discovered AI tools The AI asset management dashboard shows you what AI activity was detected. To act on it, use the AI asset management page instead. The AI asset management page lists every AI tool Lansweeper identified in your environment and lets you mark each one as approved or unapproved and assign it a risk level. Unlike a dashboard filter, these values are stored with the tool. For more information, see [Manage discovered AI tools](/docs/manage-discovered-ai-tools). ## Scope of AI usage tracking Below is the scope of signals typically captured when AI usage tracking is enabled. ### Network and 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 and 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 and 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. A paid Lansweeper Platform plan that includes features the Free plan doesn't, such as creating dashboards and exporting views. For what each plan includes, see https://www.lansweeper.com/pricing/. Compare with the Free and Enterprise plans.The highest Lansweeper Platform plan. Some features are available only on Enterprise. For what each plan includes, see https://www.lansweeper.com/pricing/. Compare with the Free and Pro plans.A release stage in which a feature is available to selected customers before its full release, so they can try it and give feedback. Features, pricing, and packaging may change before the feature is generally available.