ML-driven anomaly detection over every metric stream — learns per-server baselines, flags deviations before they become incidents.
Per-metric baseline windows across 1h / 6h / 24h / 168h with trend-aware thresholds.
Overview cards, severity timelines, per-server breakdowns and drill-down context.
Holt-Winters forecasting with 2h lookahead. >85% probability triggers preventive incidents.
LLM validates flagged anomalies — separates genuine problems from transient noise.
End-to-end pipeline diagrams from the SYNOTI engine.
Deploy SYNOTI on your infrastructure today — air-gapped, self-healing, AI-native.