Anomaly Detection

Anomaly detection uses statistical methods or machine-learning models to flag unusual activity within data. It is commonly used for fraud detection, cybersecurity, equipment monitoring, quality control, and operational alerts where uncommon patterns may signal risk, failure, or an important exception.