Anomaly detection is a research field and methodological approach focused on identifying instances, events, or patterns in data that do not conform to an expected normal behavior. This concept investigates outliers, exceptions, or deviations, characterized by their rarity and distinctiveness from the majority of observations, and is significant for revealing critical incidents, errors, or novel insights across diverse domains.