Methods of detecting anomalous behaviors associated with a fabric are presented. A network fabric can comprise many fungible networking nodes, preferably hybrid-fabric apparatus capable of routing general purpose packet data and executing distributed applications. A nominal behavior can be established for the fabric and represented by a baseline vector of behavior metrics. Anomaly detection criteria can be derived as a function of a variation from the baseline vector based on measured vectors of behavior metrics. Nodes in the fabric can provide a status for one or more anomaly criterion, which can be aggregated to determine if an anomalous behavior has occurred, is occurring, or is about to occur.