Real-Time Fraud and AI Voice Detection and Warning

A non-transitory computer-readable medium comprising stored instructions for performing real-time fraud detection, the instructions, when executed, causing a computing system to perform operations including:

• monitoring an in-progress call from a calling device to a called device;
• generating, by a filtering model, an indication of whether the call is fraudulent based on one or both of a Calling number used by the calling device and an analysis of audio of the in-progress call;
• responsive to the filtering model outputting an indication that the call is fraudulent, providing, to a fraud detection machine learning model, data associated with the calling number and content of the call;
• generating, by the fraud detection machine learning model based on the provided data, a fraud detection value indicating a likelihood that the call is fraudulent;
• and
• responsive to the fraud detection value exceeding a threshold, causing a fraud detection alert to be generated by the called device.

A computing system configured for performing real-time fraud detection, the computing system comprising:

• one or more processors;
• and
• one or more memories storing instructions that, when executed by the one or more processors, cause the computing system to perform operations including:
• monitoring an in-progress call from a calling device to a called device;
• generating, by a filtering model, an indication of whether the call is fraudulent based on one or both of a Calling number used by the calling device and an analysis of audio of the in-progress call;
• responsive to the filtering model outputting an indication that the call is fraudulent, providing, to a fraud detection machine learning model, data associated with the calling number and content of the call;
• generating, by the fraud detection machine learning model based on the provided data, a fraud detection value indicating a likelihood that the call is fraudulent;
• and
• responsive to the fraud detection value exceeding a threshold, causing a fraud detection alert to be generated by the called device.