a good thing!
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.
PingOne Fraud does more than fight fraud, it also improves the customer experience by dramatically reducing security events like CAPTCHA. It works invisibly to protect enterprises without interrupting customer sessions. The easier it is for customers to complete transactions, the less likely they are to abandon them. PingOne Fraud allows for a better overall customer experience by reducing friction, generating fewer false positives and eliminating the need for cumbersome security steps.
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
Bot Attacks
Bots today dominate fraudulent eCommerce and online activity. Originating as scripts performing simple, automated actions, bots have increased in sophistication and are now capable of mimicking human behavior. Bad bots account for 25% of internet traffic. PingOne Fraud provides unique pre-trained behavioral models as well as dedicated models that are trained for each enterprise and take decisive action before a transaction occurs.
Account Takeover
Fraudsters use your compromised credentials to login as you. The increasing sophistication of credential stuffing tools combined with the volume of stolen Personal Identifiable Information (PII) available online makes account takeover attacks inevitable. PingOne Fraud uses machine learning to provide real-time detection before any transaction is completed, even if a fraudster uses legitimate credentials.
New Account Fraud
Fraudsters use fake identities to create new accounts to verify and use stolen payment details. They then make purchases, abuse coupons and transfer loyalty points. Without a holistic view of the customer journey these behaviors lack context and fraud alerts occur after the incident has already happened. PingOne Fraud provides a complete view of a customer’s behavioral journey for frictionless, accurate and scientific online fraud detection.
PingOne Fraud uses behavioral biometrics and machine learning to automatically identify trusted customers and flag suspicious activities before transactions take place. This data is captured in the PingOne Fraud console and can be accessed and analyzed to gather further insights. PingOne Fraud doesn’t collect PII. Instead, each session is stored under a unique session identifier. The drill-down dashboard, reports and risk scores are all available from the admin console.
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