AI Diagnosis & Investigation

Most of the time spent on a network incident is spent on investigation: reading device output, chasing correlations, ruling out false positives. NetBrain hands that work to AI. Engineers arrive at a diagnosis rather than beginning one, with every finding transparently explained and every step traceable.

AI Ticket Analysis

Mines historical ITSM data to classify, correlate, and enrich incoming tickets before an engineer ever opens them. By recognizing patterns across thousands of past incidents, NetBrain surfaces similar cases, predicts likely root causes, and recommends proven fixes.

Intelligent ticket processing

Advanced language models read, interpret, and categorize incident tickets with context and nuance.
Surfaces similar past cases and the resolutions that worked.
Predicts the likely root cause from ticket text and known patterns.

Proactive problem prevention

Feeds historical patterns into the Triggered Automation Framework so future similar incidents are diagnosed before an engineer touches them.
Empowers teams to shift from reactive firefighting to proactive outage prevention.

Triggered Automation Framework

A multi-agent AI engine that collaborates to diagnose complex network problems. Rather than routing incidents through a single analysis path, NetBrain’s AI agents collaborate, each contributing specialized expertise, to investigate cross-domain problems. The event-driven layer that fires diagnosis without human kickoff: a ServiceNow ticket opens or a monitoring webhook fires, and the Framework orchestrates the agents needed to investigate. Engineers see the result, not the dispatch.

AI Path

Validate paths on demand and explain hop-by-hop behavior in plain language. Two complementary capabilities for path analysis.

AI Path Doctor

Validates any end-to-end path against current network state on demand, flagging policy violations, forwarding anomalies, and reachability risks before they become incidents. Ask the question (“Can finance reach the data warehouse?”) and get a current-state answer, not a stale documentation reading.

AI Path Summarization

Translates complex hop-by-hop path data into plain-language explanations. The engineer sees the path; the AI explains it: why this hop, what this rule does, where the policy got applied. Junior engineers get a senior-engineer’s read of the path on every query.

Deep Diagnosis Agent

Fully autonomous, end-to-end root cause analysis. Triggered by ServiceNow tickets, alerts, or webhooks. Navigates topology, runs diagnostics, delivers a structured diagnosis ready for engineer review or automated next steps.