Abstract: Dynamic adjustment of intelligent fraud rules includes receiving a request to evaluate a transaction based on a false positive ratio (FPR) threshold of a user. A list of fraudulent transaction rules is received comprising a plurality of fraud rules that have an associated FPR. The fraud rules are selected from the list of fraudulent transaction rules that are aligned with the FPR threshold of the user. It is determined whether a set of parameters associated with the one or more fraud rules are met based on the transaction and the FPR threshold of the user. A decline response to the request is transmitted to evaluate the transaction based on the determination that the one or more fraud rules are met. The list of fraudulent transaction rules is then dynamically adjusted based on feedback data associated with the plurality of fraud rules or the list of fraudulent transaction rules.

Abstract: Embodiments include apparatuses, methods, and systems for dynamically adjusting intelligent fraud rules based on payment transactions within a payment processing system. The embodiments receive a request to evaluate a transaction based on a false positive ratio (FPR) associated with a user's FPR threshold; and retrieve a first list of fraudulent transaction rules having fraud rules and FPRs; and remove fraudulent transaction rules from the first list of fraudulent transaction rules to create first fraudulent transaction rules aligned with the first FPR. The embodiments determine whether a set of parameters associated with the first fraudulent transaction rules are met based on the first FPR; transmit a decline response based on determination that the first fraudulent transaction rules are met; and generate a second list of fraudulent transaction rules dynamically adjusted based on the first list of fraudulent transaction rules and feedback data associated with the first fraudulent transaction rules.