Learn how to look past FPR and implement a data-driven, ROI-based equation when calculating the ROI of your decision rules.

Machine learning and automation are the key to ensuring your financial institution doesn’t fall behind when it comes to preventing card fraud.

The fight against fraud never ends. Every day fraudsters are finding new ways to infiltrate your card portfolio and charge illegal transactions on behalf of your customers. Since the threat never stops evolving, that means your tactics need to grow and advance as well. This is where machine learning and automation can be a game changer for your fraud operations.

Card fraud is a threat that financial institutions have to consistently battle. However, what is new is how and where the fraud takes place. Fraudulent charges are rapidly evolving in both origin and occurrence. Bottom line: Even the most effective decision rules have a shelf life.

As card fraud evolves, data driven decision rules are your best weapon to prevent illegal transactions from impacting your customer card portfolio