A machine-learning-based data security service provides dynamic discovery, anomaly detection, and behavioral analysis. It effectively identifies changes and suspicious activity across large-scale environments, such as object storage in the cloud. This aligns with CASP+ objective 4.3, emphasizing the use of advanced analytics and ML to improve data security.