"SEON's machine learning finds similarities based on your input and proposes rules to spot abuses you wouldn't notice otherwise."
Fraudsters have behavioral patterns. Lean on our machine learning engine to create complex rules to beat them, without ever giving up control.
With precise and dynamic rules based on a variety of data and methods
Scaling your fraud prevention efforts
Tackling risky markets with ease
Be trained on existing data
Deploy today with preset rules
Leverage the power of the C5.0 algorithm
Automatically approve or decline transactions
SEON includes powerful machine learning designed to help you identify risk patterns automatically. Based on flagged signups, logins, and transactions, it can recommend new rules to help spot patterns of user behavior. You can then calculate the accuracy of these rules and make decisions automatically according to confidence ratings.
Our whitebox rule suggestion algorithm is built on C5.0 and works best after processing at least 1,000 transactions. You can then receive suggestions for complex or heuristic rules to thwart even the most sophisticated fraudsters. Meanwhile, a separate blackbox ML module at SEON will examine each user’s activity and flag suspicious customers separately to the main engine, for added peace of mind.
The whitebox module provides human-readable reasoning to aid your analysts. The blackbox module uses CatBoost to calculate risk via a plug-and-play model that requires little interaction. As a SEON customer, you can choose to make use of both modules, just one or neither. The goal is always the same: to improve the accuracy of your fraud detection over time – based on your real and unique business landscape.