Systems and methods for establishing sender-level trust in communications using sender-recipient pair data

A system for establishing sender-level trust in future electronic communication, the system including a computing processor configured to execute instructions to perform a method including:

• receiving, over a network at a server, communication data between a sender and a recipient;
• determining, using a trained machine learning database, whether the received communication data is associated with an expected communication and an expected communication pair data score;
• labeling the expected communication pair data score and the sender associated with the expected communication pair data score as trusted based on a determination that the expected communication pair data score meets or exceeds a threshold;
• and
• updating the trained machine learning database with sender and recipient communication pair data corresponding to the trusted expected communication pair data score for future communication.

A non-transitory computer-readable medium storing instructions that, when executed by a computer, cause the computer to perform a method for establishing sender-level trust in future electronic communication, the method including:

• receiving, over a network at a server, communication data between a sender and a recipient;
• determining, using a trained machine learning database, whether the received communication data is associated with an expected communication and an expected communication pair data score;
• labeling the expected communication pair data score and the sender associated with the expected communication pair data score as trusted based on a determination that the expected communication pair data score meets or exceeds a threshold;
• and
• updating the trained machine learning database with sender and recipient communication pair data corresponding to the trusted expected communication pair data score for future communication.