Anomaly Detection is the process of identifying unusual patterns that do not conform to expected behavior. These anomalies, also known as outliers, can indicate critical incidents, such as fraud, network intrusions, or equipment failures. Anomaly detection techniques are applied across various domains, including finance, cybersecurity, healthcare, and manufacturing, to monitor data in real-time and trigger alerts when deviations occur. The goal is to detect significant, rare events early to mitigate risks and take corrective actions. Effective anomaly detection enhances security, operational efficiency, and reliability in various applications.