Anomaly Detector

Overview

Detect unusual patterns, outliers, and anomalies in data using statistical methods, machine learning, and deep learning. Critical for fraud detection, security monitoring, quality control, and system health monitoring—all integrated with SpecWeave's increment workflow.

Why Anomaly Detection is Different

Challenge: Anomalies are rare (0.1% - 5% of data)

Standard classification doesn't work:

• ❌ Extreme class imbalance
• ❌ Unknown anomaly patterns
• ❌ Expensive to label anomalies
• ❌ Anomalies evolve over time