The Models section provides visibility into locally running AI models discovered on managed endpoints through the Netskope Client Endpoint AI Discovery feature. This section lists locally running AI models, such as open-source large language models (LLMs) running in frameworks like Ollama or vLLM, that are not transiting the network and would otherwise be invisible to network-based discovery.
The Models page lists only models detected locally on managed endpoints by the Netskope Client.
Source – Netskope Client
The following table displays a list of AI models discovered on managed endpoints with the following details:
- Name – Name of the AI model as reported by Netskope Client. Where multiple endpoints report different names for the same underlying model, AICC deduplicates them into a single entry.
- Category – Categories of the AI model, for example, Language Model, Code Model, Multimodal.
- #d Endpoints – Number of managed endpoints where this model was detected during the selected time range.
- #d Users – Number of unique users on whose devices this model was detected during the selected time range.
- First Seen – Timestamp when the model was first detected on any managed endpoint.
- Last Seen – Timestamp of the most recent detection of this model on any managed endpoint.
Click any row to open the model detail panel.
