A shot fired detector can receive an audio signal or acoustic stream and determine that a firearm has been discharged. One or more detectors can be used to continuously capture acoustic streams and process the acoustic streams for anomaly detection. A detected anomaly can be classified by a machine learning model to detect that a shot has been fired. The detector can send acoustic data and meta data associated with the shot fired to a server for further storage and/or processing. An alert can be automatically generated that is associated with the shot fired.