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Writing a pentest finding with AI, with the network cable unplugged

2:15 · Aug 11, 2026

A full pentest finding, drafted by an AI model running on our own hardware, while the machine is offline and nothing leaves the network. No cloud, no API key, no data egress.

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Transcript

Every AI prompt you send to a hosted provider is a copy of your target's vulnerabilities leaving your network. Neuron is different. Neuron runs local AI models and is completely air-gapped. In this quick demo, we'll disconnect Neuron from the internet and see if it can still generate a finding.

Neuron is set to offline mode, so the software itself can make no outbound calls. That's license checks, update servers, threat intel syncs, all of it switched off. The only connections it can make are to services on this machine.

And to be clear, here's proof. This machine can't load a raw IP off the internet, and the ping to it just times out. There's no connection here to leak anything over.

Now, let's write a finding. On the service that I just tested, I have a finding, and we'll let Neuron AI draft it. I simply give it a brief description of what I found and let it do the rest.

This is the model running on our own hardware. Every step is recorded right here, from queue to first token to the last field. There's no internet for it to use, no account, no API key, no request leaving the building. It's fast enough to use on every finding, not just the headline ones.

Then Neuron matches the draft against your own approved library, totally offline, using the model on this box. You get a choice. Use Neuron AI's version, or use your own in-house standard wording, already vetted by your QA. The tester stays the author of record the whole time. Nothing reached the internet because there was no internet.

AI that drafts your findings without your findings ever leaving your control. That's Neuron. Book a walkthrough today at neuron.ws.

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