It creates intelligent profiles based on the channel’s behavior to avoid and prevent fraud.
- Allows the end-user to manage their own rules of usual behavior and fraud exceptions
- Does not need technical knowledge for its management
- Classifies transaction rules according to their potential risk
- High effectiveness rate, due to the learning process it makes of the user based on their devices, transation times and geolocation
- Easy and simple visualization of cases that allows a quick analysis
- It can be used for both financial and non-financial transactions
How does it work?
The solution uses machine learning to create smart profiles and prevent fraud. It sends alerts when it detects a transaction made beyond the regular values registered for that particular user.
It gathers information from different channels and compares it with its own database. It sets the standards on which the different transactions are classified, based on their risk potential.