Abstract: The invention relates to a method and system that combines payment data and cyber fraud indicators to identify potential fraud in payment requests from a client. The system comprises: a memory that stores and maintains a list of known fraud characteristics and cyber fraud indicators; and a computer processor, coupled to the memory, programmed to: receive, via an electronic input, a payment instruction from the client; identify one or more cyber fraud indicators associated with the payment instruction; apply payment decisioning to merge the one or more cyber fraud indicators to the payment instruction; generate a risk score based on the payment decisioning to determine whether the payment instruction should be executed; and automatically apply the payment decisioning to the payment instruction.

Abstract: The invention relates to a method and system that analyzes domain names for potential fraud. The system comprises: a memory that stores and maintains a list of known domain names associated with an entity; and a computer processor, coupled to the memory, programmed to: receive, via an electronic input, one or more registered domain names from a registration source; access the list of known domain names; apply logic rules to determine visually similar domain names by comparing the one or more registered domain names to the list of known domain names; identify a relevant recipient based on the visually similar domain name; and generate and transmit, via a communication interface, a message to the recipient, the message comprising the visually similar domain name and associated information relevant to the domain name registration.

Abstract: The invention relates to a method and system that combines payment data and cyber fraud indicators to identify potential fraud in payment requests from a client. The system comprises: a memory that stores and maintains a list of known fraud characteristics and cyber fraud indicators; and a computer processor, coupled to the memory, programmed to: receive, via an electronic input, a payment instruction from the client; identify one or more cyber fraud indicators associated with the payment instruction; apply payment decisioning to merge the one or more cyber fraud indicators to the payment instruction; generate a risk score based on the payment decisioning to determine whether the payment instruction should be executed; and automatically apply the payment decisioning to the payment instruction.