Discover the capabilities of LabLabee AI Troubleshoot
Automatically detects sessions from uploaded data and identifies the related domain, protocols, and interfaces involved.
Keeps analysis history and context over time, allowing teams to track past investigations, compare issues, and build operational knowledge.
Identifies and separates multiple sessions within the same dataset to simplify complex troubleshooting scenarios.
Correlates PCAPs, KPIs, logs, and alarms in one unified analysis flow to detect issues faster across domains and layers.
Pinpoints the most likely issue and explains the reasoning behind it to reduce troubleshooting time and improve consistency.
Provides a confidence level for each AI RCA outcome so teams can quickly assess reliability and decide on next actions.
Generates structured troubleshooting reports in PDF or JSON format for sharing, documentation, or system integration.
Suggests next steps and remediation actions based on detected anomalies and identified root causes.


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