Abstract: A method for the detection of anomalous behaviors in a computer network, comprising the steps of: collecting data relating to connections in a plurality of nodes in a network, sending the data from said nodes to an ADS platform, computing from said data at least one value representative of the anomaly level of the connections of each said node and/or of applications initiating said connections and/or of users, computing a multidimensional chart for visualizing the behavior of a plurality of nodes, applications and/or users in said network, wherein said value representative of the anomaly level is used as a dimension in said chart.