Objective

Create an effective tool that makes it possible to minimize financial risks when working with payments, quickly detect anomalies and automate payment security control processes.

Project features

Real-time payment monitoring

System of automatic rules and filters for detecting suspicious transactions

Notifications and reports for security staff

Integration with major payment gateways and banking systems

Ability to manually confirm and block operations

History and analytics of all transactions

Work stages

Analytics

The main threats and fraud schemes in e-commerce were analyzed. Requirements for integration with payment systems and the specifics of working with different currencies were researched.

Design

The interface was designed for convenient viewing of payment flows and quick response to incidents. Panels with visualization and filters for data analysis were created.

Development and testing

The system is implemented in Python and React. Anomaly detection algorithms were tested, and load testing was carried out for processing a large number of transactions.

Results

Fraud cases among clients reduced by 70% in the first 6 months

Quick response to suspicious operations thanks to notifications

Convenient and transparent interface for security services

Client feedback

“PayGuard helped us significantly reduce financial risks and automate payment control processes. We recommend this system to everyone who works with online payments.”