PingOne Fraud combines real-time behavioral navigation, behavioral biometrics, device attributes, network attributes and much more to detect sophisticated fraud attacks that bypass other detection tools, all while ensuring a hassle-free experience for trusted customers. It conducts real-time unique session analysis to clearly distinguish legitimate customers from fraudsters. PingOne Fraud is used by enterprises around the world, including e-commerce companies, and supports mobile and desktop environments.
When customers interact with devices or applications, they do so in a way that represents normal behavior. Throughout a session, every human interaction such as a swipe, mouse click, accessing account settings and overall browsing generates information that can be represented by a data set. PingOne Fraud uses machine learning to adapt and learn from the moment a session begins—even before they log in! This is its key differentiator. It provides a holistic view of the entire customer journey, flagging suspicious activities early before any damage is done.
Today’s popular fraud solutions almost exclusively evaluate the transaction or payment stage of a customer journey, which is often too late. At this point, the fraudster has gotten away with a free lunch, but unfortunately for you, the fraud resolution process has just started. The legitimate customer still needs to be refunded money, points or credits. Plus, your fraud resolution team has to resolve the fraud case. In total, the actual cost of fraud is often 3x the amount that the fraudster got away with. PingOne Fraud automatically identifies trusted users and flags suspicious activities before fraudulent activities take place.
Detect the Following with PingOne Fraud