Identify and prevent fraud whether its online commerce, mobile buying, or in-store checkout, all while delivering the power of AI to create a better experience for customers. Feedzai instantly assesses risk across multiple channels and payment types with real-time scoring.
Apply predictive behavioral analytics to stop account takeovers even when fraudsters are using information readily available from data breaches coupled with sophisticated techniques such as phishing with fake websites, malware or spyware, social engineering, mining social media or hijacking a mobile device.
Detects fraud associated with abuse of digital coupons and digital cash. Feedzai scores transactions using historic and real time profiles and enrichment data like device fingerprinting to detect fraud associated with policy abuse and non-payment card related transactions.
Proactively identify fraud and eliminate reactive manual analysis and rules coding with fraud detection models learning from every single transaction in real-time.
Make decisions faster and more accurately with aggregated metrics based on transactional data to build hyper-granular profiles of user behavior.
Easily review cases and transactions with Feedzai’s high-performance scoring engine with an easy-to-use interface and online activity monitoring console.
Guest or registered user, user ID, amount of purchase, IP, etc.
Social data, IP data, email data, velocity, etc.
Receive score suggesting highly risky transaction.
Integrate with any case management, BI Solution or SMS/Email.
Contact us today, and we’ll schedule a demo using your own data. With the ground truth of actual chargebacks and other fraudulent behavior as the benchmark, a head-to-head comparison of Feedzai’s detection performance using past transaction logs can immediately demonstrate the value of our machine learning approach.