1. A method, comprising: maintaining, by a device in a network, information regarding anomaly detection models used in the network and applications associated with traffic analyzed by the anomaly detection models wherein the device acts as a supervisory and control agent (SCA) device; receiving, at the device, an indication of a planned application deployment in the network; and adjusting, by the device, an anomaly detection strategy of a particular anomaly detector of a distributed learning agent (DLA) device in the network prior to deployment of the planned application, wherein the information regarding anomaly detection models used in the network and the applications associated with the traffic analyzed by the anomaly detection models is used by the device to adjust the anomaly detection strategy.