
Financial institutions have long struggled with the paradox of processing trillions of dollars in real-time transactions while relying on static, outdated systems to catch increasingly sophisticated criminals. Traditionally, compliance departments have been reactive, drowning in false positives and manual data entry. However, the emergence of AI-driven transaction monitoring represents a tectonic shift in how the industry identifies and mitigates risk.










