interrosec
Use Case

Network Detection & Response

Predict anomalies before they become incidents

The Problem

Traditional NDR tools rely on simple moving averages that flatten daily patterns into noise. Alert fatigue is rampant — your team ignores 90% of alerts because most are false positives.

The Solution

FlowSight uses Facebook Prophet to learn your network's unique rhythms. It predicts what traffic should look like 38 hours ahead and alerts only when reality diverges from the forecast.

How It Works

Four Steps to Full Visibility

  1. Ingest NetFlow/sFlow/IPFIX from existing infrastructure
  2. Prophet models learn per-subnet daily seasonality
  3. Anomalies scored against confidence bands
  4. Auto-resolve when traffic returns to predicted range

Ready to see it in action?

Get a live demo tailored to your environment.