Cato Develops Groundbreaking Method for Automatic Application Identification

Cato outlines a data-science approach that leverages a large repository of network flow data and machine learning to automatically classify previously unknown or custom applications, producing AppIDs that improve visibility and enable more accurate policy and QoS enforcement; the post contrasts this with legacy port-based or manual classification methods and links to additional papers and services.