Traditional rule-based scoring solutions simply can’t keep up

• Because conventional scoring systems depend on rules, highly specific knowledge of previous fraudulent behaviors is required of practitioners
• Subject-matter experts must write, apply and continuously modify these rules – a labor intensive process that will always be a step (or many) behind fraudsters
• This inefficient model relies heavily on human manual review resources, crushing conversion and negatively impacting customer experience

Hear from other merchants who upgraded to machine learning based systems.