Abstract: There are provided systems and methods for risk analysis for fraud detection for electronic transaction processing flows. An entity, such as a user, business, or other personal or commercial entity, may interact with another entity in order to engage in a transaction, for example, a purchase, transfer, or other transaction process. The first entity may utilize a service provider to engage in transaction processing, which may provide multiple flows that govern the features provided to the entities. Such features may include fees required for transaction processing. In order to ensure that the entities do not fraudulently choose a flow type that decreases or cancels fees due, or does not provide certain protections to other parties, a risk analysis of the transaction and the account may be executed based on accessible historical data and identifiers. Thus, the entities may automatically be entered to one flow over another based on the risk analysis.

Abstract: There are provided systems and methods for risk analysis for fraud detection for electronic transaction processing flows. An entity, such as a user, business, or other personal or commercial entity, may interact with another entity in order to engage in a transaction, for example, a purchase, transfer, or other transaction process. The first entity may utilize a service provider to engage in transaction processing, which may provide multiple flows that govern the features provided to the entities. Such features may include fees required for transaction processing. In order to ensure that the entities do not fraudulently choose a flow type that decreases or cancels fees due, or does not provide certain protections to other parties, a risk analysis of the transaction and the account may be executed based on accessible historical data and identifiers. Thus, the entities may automatically be entered to one flow over another based on the risk analysis.