Anomaly Detection (CloudMonk.io)

Anomaly Detection

Anomaly detection is a machine learning and data analysis technique used to identify patterns in data that do not conform to expected behavior. These anomalies, or outliers, can indicate critical incidents, such as fraud, network intrusions, system failures, or significant deviations in operational processes. By applying algorithms and statistical models, anomaly detection systems can automatically sift through vast datasets in real-time or through historical analysis to flag unusual activity for further investigation. This capability is crucial across various domains, including cybersecurity, finance, healthcare, and manufacturing, where early detection of irregular patterns can prevent potential damages or uncover valuable insights into improving processes or security measures.