Abstract: The subject matter disclosed herein provides methods for detecting and mitigating fraudulent transactions conducted over a network. This method can access one or more data values associated with an online transaction between a first party and a second party. The first party can initiate the online transaction. The data values can characterize an identity of the first party and the second party. A score representing a likelihood that the online transaction is fraudulent can be generated. The generation of the score can be based on one or more models for detecting fraud using the data values. The score can be compared to one or more threshold scores. The online transaction can be authorized or rejected based on the comparing. Related apparatus, systems, techniques, and articles are also described.

Abstract: The subject matter disclosed herein provides methods for detecting and mitigating fraudulent transactions conducted over a network. This method can access one or more data values associated with an online transaction between a first party and a second party. The first party can initiate the online transaction. The data values can characterize an identity of the first party and the second party. A score representing a likelihood that the online transaction is fraudulent can be generated. The generation of the score can be based on one or more models for detecting fraud using the data values. The score can be compared to one or more threshold scores. The online transaction can be authorized or rejected based on the comparing. Related apparatus, systems, techniques, and articles are also described.