The purpose of anomaly detection in cybersecurity is to identify unusual patterns or behaviors that may indicate a security threat or breach. This technique distinguishes between normal and abnormal activities within a network or system, enabling organizations to respond quickly to potential incidents. Effective anomaly detection can prevent data breaches, malware infections, and insider threats by analyzing vast amounts of data in real-time. Utilizing machine learning algorithms and behavioral analytics tools, cybersecurity teams can enhance their threat detection capabilities and improve overall network protection.