PRINCIPLES FOR PREVENTING FRAUD AND IMPROVING SERVICE QUALITY IN INTERNATIONAL BANK PAYMENT SYSTEMS

Mirzafarkhonov Firdavs

“Kapitalbank” JSCB Head Office, Anti-Fraud Department

Keywords: digital banking, payment systems, fraud prevention, blockchain, artificial intelligence, risk management, cybersecurity, financial innovation, ISO 20022, customer service quality.


Abstract

The article explores the global experience of fraud prevention and service quality enhancement in international bank payment systems. It emphasizes that digitalization has fundamentally transformed financial infrastructure, while simultaneously increasing exposure to cyber risks and fraud. Drawing upon the analytical framework of AI-based monitoring, blockchain immutability, and integrated risk management, the study examines how major international banks—such as JP Morgan Chase, Standard Chartered, N26, and DBS Bank—have adopted advanced technologies to ensure operational resilience and transparency. Statistical data from McKinsey (2024) and Statista (2024) demonstrate that global digital payment volumes reached USD 9.8 trillion in 2024, whereas fraud-related losses exceeded USD 42 billion. The analysis underscores that artificial intelligence and blockchain now serve as dual safeguards in modern banking ecosystems, balancing real-time fraud detection with seamless customer experience. The findings conclude that the sustainability of global payment systems depends on the integration of technological innovation, regulatory harmonization, and user-centric trust frameworks.


References

1. Bank for International Settlements (BIS). Principles for Financial Market Infrastructures (PFMI), Basel, 2012.

2. PwC. Global Economic Crime and Fraud Survey 2023.

3. McKinsey & Company. Global Payments Report 2024.

4. Statista. Digital Payments Worldwide Database, 2024.

5. IMF. Financial Stability Report, Washington D.C., 2023.

6. Gai, K., Qiu, M., & Sun, X. (2020). Security and Privacy Issues in Financial Technology. Journal of Network and Computer Applications, 155, 102562.

7. Anderson, R. (2021). Security Engineering: A Guide to Building Dependable Distributed Systems. Wiley.

8. Visa Inc. (2024). Fraud Risk Management Annual Report.

9. Mastercard. (2023). Decision Intelligence: Machine Learning in Payment Security.

10. SWIFT. GPI Annual Progress Report 2024.

11. JPMorgan Chase. AI in Global Payment Security, Financial Insights, 2024.

12. DBS Bank. Predictive Fraud Analytics System Implementation Report, 2024.

13. Standard Chartered Bank. Blockchain Innovation in Cross-border Payments, 2024.

14. N26 Bank. Biometric Authentication and Customer Protection Report, Berlin, 2023.

15. OECD. Digital Transformation and Financial Market Resilience, 2024.