What exactly does the NetSenX Math Guarantee guarantee?
It guarantees a method, applied to your data, and full visibility into what that method currently supports. A split-conformal layer derives a false-positive bound on the alerts the engine surfaces, at a configurable confidence level, from analyst-labelled benign traffic in your own tenant. A finite calibration set can only resolve a bound so tight, so the dashboard shows the bound your data supports — and states that it supports none yet, together with what would close the gap, rather than displaying a figure we cannot back. The methodology is documented in our Trust Center and is independently reviewable.
This answer also appears, with more context, here: Pricing