Anomaly Detection
In plain terms
Automatically identifying unusual patterns in data.
Going deeper
Anomaly detection flags data points or behaviors that deviate from the norm, surfacing problems or threats without fixed thresholds. It spots the unexpected.
Under the hood
Statistical or ML-based; powers alerting, fraud detection, and security without manual thresholds.
Examples
Fraud detection, monitoring alerts, security, outlier detection, metrics.
Think of it like...
Like a guard who notices when something doesn't fit the usual pattern.