Anomaly detection software identifies unusual patterns, behaviors, or outliers in datasets that deviate from expected norms. It uses statistical, machine learning, and AI techniques to automatically detect anomalies in real time or through batch analysis. This software is widely used in cybersecurity, fraud detection, predictive maintenance, and quality control. By flagging anomalies, it enables early intervention, reduces risks, and enhances operational efficiency. Advanced versions offer customizable thresholds, real-time alerts, and integration with analytics dashboards for deeper insights. Compare and read user reviews of the best Anomaly Detection software currently available using the table below. This list is updated regularly.
Dataiku
Xygeni Security
Edge Delta
Zilliz
Elastic
Tangent Works
LogSentinel
Auger.AI
Lumeus
Microsoft
Buzz Solutions
Supervizor
InfraSonar
NetCentrics
Logtail
Bedrock Security