SYSTEM AND METHOD FOR TARGETED MACHINE LEARNING-BASED DETECTION AND PREVENTION OF RANSOMWARE ATTACKS ON A STORAGE SYSTEM

A method, computer program product, and computing system for monitoring for a potential ransomware attack on a storage object of a storage system based upon, at least in part, processing of a plurality of input/output (IO) features associated with the storage object using a machine learning model. A host computing device associated with the storage object under the potential ransomware attack is identified. A process executing on the host computing device associated with the storage object under the potential ransomware attack is identified. A remedial action is performed on the storage system in response to identifying the process executing on the host computing device.