Abstract: A system and method for using machine learning classifiers to auto-approve or auto-escalate unknown events is disclosed. The system has queues for receiving a stream of data concerning the unknown events; for storing data concerning escalated events believed to be adverse; and for storing data concerning approved events believed to be innocuous. When software instructions are executed, a device will retrieve data concerning an event from the first queue; vectorize and enrich the data; classify the vectorized, enriched data by a first machine learning model to decide whether to auto-escalate the data concerning the event to the second queue for review by a first human reviewer; and classify the vectorized, enriched data by a second machine learning model to decide whether to auto-approve the data concerning the event to the third queue.