Is your ability to detect fraud lagging behind the fraudsters? Thinking real-time is essential to decreasing financial loss, reputational harm and customer friction. In this session, explore new tactics to detect and block suspicious transaction activity in milliseconds.

Learn from case studies how leading banks, IADs and credit unions are overcoming data collection lag times and applying a hybrid of rules-based alerts, transaction link profiling and machine learning models that increase the precision and response times to cash-out attacks – such as man-in-the-middle, proxy switches, malware, jackpotting and transaction reversal fraud.