
In today’s digital age, cybersecurity has become a paramount concern for organizations worldwide. With the increasing volume of data and sophisticated cyber threats, traditional security measures are often insufficient. This article explores the growing significance of machine learning (ML) in anomaly detection, particularly within the realm of cybersecurity. By leveraging ML algorithms, organizations can identify unusual patterns in network traffic,










