Detecting bust-out fraud: when good customers turn bad

Bust-out fraud involves fraudsters building a perfect payment history to secure high credit limits, then maxing out and defaulting. A new open-source project on GitHub demonstrates how traditional metrics like utilization fail to distinguish bust-outs from genuine financial distress. The project uses synthetic data to train models that detect the behavioral pattern of ramp-up and sudden charge-off.