BI.ZONE Fraud Detection
Product overview
The platform builds a digital profile for each user and their devices, which is then used to proactively identify potential account fraud or compromise.
Improves models and rules for detecting fraudulent transactions in online services
Detects groups of users that try to move money obtained through criminal activity
Uses data from compiled device and user profiles for variable authentication management
Features
Profiling allows user devices to be identified using various parameters such as Device IDs, digital device fingerprints, and TCP/IP & TLS fingerprints
Building a user profile includes analysis and storage of the main characteristics captured in online sessions, i.e., user devices, user environment and behavioral analysis
For each of the core entities, the system continuously generates a reputation rating for the user device, the IP address and the user itself, allowing for fraudulent activity to be accurately recognized and addressed
During an online session, the captured in-session data is analyzed in real time. This analysis helps to identify anomalies that may indicate fraudulent activity
How it works
