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 Enterprise Anomaly Detection software currently available using the table below. This list is updated regularly.
Netdata, Inc.
cloudNito
Dataiku
Xygeni Security
Syft
Edge Delta
Zilliz
CloudFabrix Software
Honeycomb.io
Elastic
InsightFinder
Tangent Works
Anodot
Sightline Systems
LogSentinel
Auger.AI
DoiT
Mona
Metaplane
gathr
Solana Networks
SymphonyAI
Subex
Amazon
Ingalls Information Security
Digitate
Aviana