BioCatch

Uses machine learning to predict fraud risks before they occur

Prevents fraud during account creation and onboarding processes

Detects and prevents unauthorized account takeover attempts

Tools for analyzing and visualizing fraud investigation data

Implements advanced authentication methods for secure customer verification

Analyzes sequences of user behavior to detect anomalies and threats

Proprietary trust and behavioral intelligence framework

Centralized collection of behavioral signals and telemetry data

Analyzes device behavior and characteristics to detect fraud

Identifies and detects money mule accounts used in fraud schemes

Detects and prevents social engineering attacks and scams

Integration and connectivity framework for third-party systems

Continuous monitoring and collection of user behavioral telemetry

Makes fraud prevention decisions in real-time during transactions

Detects signs of customer coercion in transactions

Identifies manipulation tactics used by fraudsters