Payments innovation is thriving. As companies across verticals drive a customer-first digital transformation, they're enabling any-channel, any-device, any-speed global payments. The goal is to provide a frictionless and expansive customer experience.
This innovation opens the door to a wide range of opportunities for merchants and their customers, yet it also introduces a new world of increasingly complex fraud attacks. Fraudsters are more organized than ever, and often as digitally savvy as those they attack.
Businesses can get ahead of these complex attacks by gaining a dynamic, holistic view of the risk related to all transactions and the entities behind them. The end goal is to make decisions in real-time to stop bad actors without stifling the customer experience.
Gaining this nuanced view of risk requires the use of predictive, behavioral analytics driven by machine learning to scale mountains of transactions and data sources and make instant decisions.
In this webinar, learn about changing fraud vectors, as well as the elements of a data-driven, machine learning fraud strategy, including:
• Emerging data strategies for fraud programs
• Advanced analytics and automation as the driver for real-time scores
• The intersection of human and machine learning – business rules and analytics
• Delivering fraud scores-as-a-service
• Identity vs. transaction risk