Systems and methods are provided for monitoring traffic flow using a trained machine learning (ML) model. For example, in order to maintain a stable level of connectivity and network experience for the devices in a network, the ML model can monitor the data flow of each device and label each data flow based on its behavior and properties. The system can take various actions based on the labeled data flow, including generate an alert, automatically change network settings, or otherwise adjust the data flow from the device.