# How do I find local AI model servers running on our network?

Look for the services that local model runtimes expose and for the traffic around them. Tools that run language models locally usually start an HTTP API on a known default port, offer a web interface, and download large model files from public model hubs when first set up. So three checks help: an authorised scan of internal ranges for the default ports of common runtimes and for unexpected web interfaces; a look at which machines downloaded multi-gigabyte files from model repositories; and a list of hosts with powerful GPUs, which IT often already knows. Then ask the owners what each server is for, who can reach it and what data goes into it. Many are harmless experiments; some are left open to the whole network without authentication. NetSenX shows from the Pro plan traffic to locally run language-model runtimes: which host runs or calls one and how much data moves, alongside external AI services. It does not see the prompts or the model's answers.

FAQ: [AI use and AI security](https://netsenx.com/en/faq/ai) · https://netsenx.com/en/faq/how-to-find-local-ai-model-servers-on-the-network

## Read next

- https://netsenx.com/en/shadow-ai-detection
- https://netsenx.com/en/ai-transparency

## Related questions

- [Is a local AI model server on the office network a security risk?](https://netsenx.com/en/faq/is-a-local-ai-model-server-a-security-risk)
- [What is AI model supply-chain risk?](https://netsenx.com/en/faq/what-is-ai-model-supply-chain-risk)
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- [What is the OWASP Top 10 for LLM applications?](https://netsenx.com/en/faq/what-is-the-owasp-top-10-for-llm-applications)
