ServiceNow, Inc.
USER-REPORTED MALICIOUS MESSAGE EVALUATION USING MACHINE LEARNING

Abstract:

An indication of a message that was identified by a recipient user of the message as being associated with a cybersecurity attack is received. Properties of the message are extracted. The extracted properties of the message are provided as inputs to a machine learning model to determine a likelihood the message is associated with a true cybersecurity attack. The determined likelihood is utilized to handle a security response associated with the message.