Systems and methods for mitigating fraudulent transactions

A system, comprising:

• a server communicatively coupled to a user device by a network, wherein the server comprises a non-transitory memory storing computer-readable instructions and a processor, wherein execution of the computer-readable instructions causing the server to:
• receive training data comprising at least one of customer data, population data, whitelisted items, and whitelisted vendors;
• train a dynamic artificial intelligence classification algorithm based on the training data such that the dynamic artificial intelligence classification algorithm is configured to determine if a proposed transaction appears to be fraudulent;
• transmit a user verification request to a user when the user has initiated a transaction and the transaction is determined by the dynamic artificial intelligence classification algorithm to appear fraudulent;
• receive an approval or refusal of a proposed transaction based on a user verification request;
• generate one or more parameters comprising at least one of generated customer data, generated vendor data, and generated item data, based on the proposed transaction;
• and
• update the one or more parameters of the trained dynamic artificial intelligence classification algorithm responsive to receiving an approval or refusal of the proposed transaction based on the user verification request.