AI assistance in security tooling almost always means the same architecture: your question, and enough of your environment to answer it, are sent to a model running in a vendor's cloud. For a great many organisations that is the end of the discussion, and no amount of capability makes it acceptable.
Rumi is the WireTrace assistant, and it runs inside your network. The model is deployed within your environment, the data it reasons over is your own observed data, and nothing is sent anywhere. In an air-gapped network it works exactly as it does anywhere else, because there was never an external dependency to lose.
No question, no context and no telemetry goes to an external service. There is no vendor cloud in the path, so there is no residency question to resolve and no exception to process.
Air-gapped environments get the same capability as connected ones. Organisations that are cut off by design stop having to choose between their isolation and modern tooling.
Rumi works from what WireTrace actually observed on your network, so answers are about your estate rather than about networks in general.
During an investigation, the questions being asked are themselves sensitive. Keeping them inside the boundary matters as much as keeping the data there.
The value is speed of understanding. A platform that has observed a network holds far more than any person can hold in their head, and the slow part of most investigations is not the analysis, it is finding the relevant material to analyse. Rumi shortens that.
Asking what a device is, what it normally communicates with and what has recently changed about it, without knowing in advance which screen holds the answer.
Understanding what a security observation means in the context of this particular environment, rather than in the abstract.
Letting an operations engineer or a compliance lead ask a direct question about the estate without first learning the platform.
Working out which part of a large observed estate is worth attention, which is usually the hardest step and the least well supported by dashboards.
How we think about AI in a security product. An assistant that helps a specialist move faster is genuinely useful. An assistant presented as a substitute for the specialist is a liability, particularly in environments where being wrong has physical consequences. Rumi is built for the first role. Its answers are grounded in what was observed on your network, and they are there to be checked against that evidence rather than taken on trust.
The only meaningful demonstration is against real observed data. In an evaluation you can ask Rumi about your own estate and confirm two things at once: that the answers are grounded in what was actually seen, and that nothing left your network to produce them.