Forty-plus networks, six sectors, one model of normal.
The estates on watch range from a single high-consequence segment to multi-site correlations across four regions. What they have in common is that none of them had a reliable definition of normal before they started.
Forty-plus networks, six sectors, four regions.
Estate sizes range from one high-consequence segment to fourteen correlated sites.
Health care
Regional networks and clinical estates where added latency is not an option.
Energy & utility
Substation rings and IT-OT boundaries under passive observation.
Manufacturing
Production lines and corporate crossings watched under one model.
Financial services
Payment-adjacent segments on the tightest thresholds we run.
IoT-heavy estates
Fleets from four hundred to forty thousand devices, baselined individually.
Cloud-native
Read-only cloud collection across three providers.
Three common entry points.
Almost nobody begins estate-wide, and we would talk you out of it if you tried.
One segment
The highest-consequence part of the network, baselined and watched before anything else is touched.
One module
Usually CyberEye for visibility or NDR for detection, depending on what the team already lacks.
One cover window
Out-of-hours first, because that is when the gap is, then extended if it earns it.
What the estates return.
Aggregate figures across networks currently on watch.
Talk to one of them.
Matched by sector and estate size, under NDA, with nobody from NetworkFort on the call.