NetBrain builds an on-demand, live model of your end-to-end hybrid network, layering fresh data pulled the moment of action onto a baseline that refreshes on a configurable schedule.
A network that changes constantly needs a model that keeps up, not memorized once and left to drift. Build it by importing existing config and CLI data, or by discovering the live network directly.
NetBrain captures the control plane, data plane, and management plane at the same time, across your hybrid and multi-cloud network, not one inferred from another. That’s the difference between a network state an agent can act on, and one you have to double-check first.
Each layer builds on the one below it: device state feeds topology, topology feeds live path, and live path feeds the intent comparison that happens in Network Intent. That’s what makes the model compounding instead of flat, and it’s the same foundation the whole NetBrain Agent Team reasons from.
Discover and visualize network architecture, configurations, and device relationships, without hand-drawing a diagram. Configure so the moment a ticket or alert fires, NetBrain assembles the map that matters with: devices, topology, paths, and the policies that should hold, so your team starts troubleshooting with context already assembled, not scrambling to build it first.
Pathing runs application traffic on a live map with all points along the way. Generate an A-to-B path across datacenter, WAN and cloud on demand, and simulate a path change against a copy of the live model before you touch anything real.
Cross-domain path computation ties network, application, and cloud context into one calculation, not three separate tool lookups.
Convert CLI output into production-ready parser rules in minutes, not hours. Engineers paste raw device output and the AI generates accurate, validated parser rules on the spot. Behind the scenes, the AI produces regex and structured extraction logic — you describe what you want, it handles the syntax.