How can machine learning help detect card cracking?

Machine learning can help detect card cracking by learning which patterns are risky, such as repeated low-value payments, unusual merchant spikes, failed attempts, or transactions that fall outside a customer’s normal behaviour. These signals can trigger silent flags, closer monitoring, customer nudges, or step-up checks before the fraud escalates into a larger drain.