PRTG AI Incidents – Root Cause Analysis
When several sensors go red at once, the hard part isn't seeing the alarms — it's knowing where to start, which one matters, and why.
PRTG AI Incidents – Root Cause Analysis reads your live monitoring data and turns the raw alarm list into a set of ranked incident cards. Each card shows, in plain language:
• the problem and the affected device/sensor
• the top likely root causes with a confidence estimate
• suggested next investigation steps and quick wins
• topology context where available
You can drill into any card to get a deeper, on-demand explanation of why the monitoring looks the way it does — the kind of diagnosis that today can take 15+ minutes of manual digging. The goal is a faster starting point — seconds instead of minutes — toward a lower MTTR.
If this would help your team, vote and tell us in the comments: what does your typical "12 sensors are red" morning look like, and which context would you most want the card to surface first?