Systems and methods of determining file-access patterns in at least one computer network, the network comprising a file-access server, including training a first machine learning (ML) algorithm with a first training dataset comprising vectors representing network traffic such that the first ML algorithm learns to determine network characteristics associated with file-access traffic, determining, using the first ML algorithm, network characteristics based on highest interaction of traffic with the file-access server compared to other interactions in the at least one computer network, and determining file-access patterns in the at least one computer network based on the network characteristics associated with file-access traffic.