Business After the Breach: Unspoofable Behavioral Insights to Complement PII Verification, Fight Fraud, and Reduce Customer Friction
Neustar and Square share how capturing and analyzing contextual data which cannot be spoofed can assist companies in reducing customer friction and minimizing false positives.
See how user behavior can be leveraged as part of a continuous verification strategy to help stop fraudulent activity before checkout.
Featurespace provides insights on how companies can leverage machine learning to offer a seamless customer experience while still protecting against fraudsters.
Discover how multi-factor authentication can provide seamless, omni-channel access for customers while keeping out fraudsters.
Discover how companies can help scale their fraud detection platforms to more precisely analyze shopping behavior on mobile site and apps, improving user experience and revenue in the process.
Two Heads Are Better Than One: How AI and HUMINT Converge to Battle Today's Sophisticated Online Fraudster
iovation shares why fraud detection and prevention systems combining human intelligence with artificial intelligence through machine learning are best equipped to respond to changing fraud patterns.
Learn how criminals can exploit various techniques to take over mobile devices and how companies can identify these attacks to protect themselves and their customers.