Creating a complete customer profile requires collecting a tremendous amount of data. We obtain 5,000+ attributes about each user, including behavioral, device, and network data. We go beyond data made available by the user by digging deep into your customers' sessions to discover fraudsters.
Machine learning adapts to constant changes in user traffic and fraud methods. Our ML models spot non-obvious patterns and automate decision-making faster than heuristics and manual rules sets, with fewer false positives.
Our machine learning models provide simple, actionable recommendations for your risk management team in less than a second. With less manual work needed, you can spend more time researching new features and focus on optimizing your business performance.
Leverage our datasets to determine the reputation of card data, IP, e-mail, and physical address to increase user verification.
This option would fit best smaller companies that want to improve rule-based decisions with additional data.
Use our ready-to-go datasets and enrich your fraud detection with access to 100+ risk factors to help you fight fraud more accurately.
This is an excellent choice for companies that don't have much customer data or a dedicated fraud prevention team.