Synthetic Data for Real Threats – How Banks Can Improve Financial Crime Detection Without Compromising Privacy

As financial crime grows more sophisticated, banks face increasing pressure to detect fraud faster and more accurately — all while safeguarding sensitive customer data. In this interview, we explore how synthetic data and advanced analytics can be leveraged to strengthen fraud detection, enable secure model training, and improve operational resilience. SAS’s global fraud expert shares lessons from the frontlines of financial crime prevention and offers insights into how banks can harness cutting-edge Regtech to stay ahead of evolving threats.
Stephanie Ora