The cycle of alert, triage, escalation, manual diagnosis, and remediation is a legacy—and costly—operational model. The solution to break it lies in unifying digital twin, intent-based automation, and agentic AI technologies to automate network troubleshooting at scale.
Analyzes and classifies your past network incidents using AI to help you learn from past incidents to diagnose future ones.
ServiceNow or other ITSMs automatically trigger NetBrain to generate a map, and AI orchestrates automation to diagnose the problem.
AI assists engineers in diagnosing issues by reasoning to find the corresponding Runbook, interpreting the diagnosis, and summarizes the results.
Shift Left troubleshooting from engineer to machine by automatically triggering ticket diagnosis and filtering out non-actionable (noisy alerts) tickets.
Automatically trigger problem diagnosis the instant a service ticket is generated using network information from the service ticket automatically.
Discover hop-by-hop hybrid-cloud application paths automatically. Assess tra ffic-forwarding characteristics across subnets, VPCs and VNets, firewalls, networking services, etc.
AI-assisted diagnosis puts engineers in control and empowers end users to experience automation through collaboration.
Collaborate through interactive per-incident summary observability dashboards. Drill down into areas of concern and open maps and decision trees.
Instantly automate triage of every network incident and prove whether it's the network. View color-coded diagnostics right on the live network map.
Take a deeper look at how NetBrain’s AI-powered automation solves real NetOps and IT challenges—built by network engineers, for network engineers.
