SEAMLESS PAYMENT PROCESSING: LEVERAGING REAL-TIME RISK ASSESSMENT FOR ECOMMERCE
Keywords:
Real-time Risk Assessment, Payment Processing Security, Fraud Detection Systems, ECommerce Technology, Digital Payment InnovationAbstract
This comprehensive article explores the evolution and implementation of real-time risk assessment systems in eCommerce payment processing. The article examines the limitations of traditional fraud detection approaches and presents modern solutions that combine advanced technologies, machine learning, and sophisticated data analysis frameworks. It investigates the benefits for both platforms and customers, including enhanced fraud detection, improved customer experience, and increased operational efficiency. The article also outlines critical success factors, implementation guidelines, and emerging trends in digital payment security, providing a roadmap for organizations seeking to implement or upgrade their risk assessment capabilities while maintaining regulatory compliance and optimal user experience.
References
Timespro, "The Future of Digital Payments: Opportunities and Challenges," 2024. [Online]. Available: https://timespro.com/blog/the-future-of-digital-payments-opportunities-and-challenges .
Massa Daniel and Raul Valverde, "A Fraud Detection System Based on Anomaly Intrusion Detection Systems for E-Commerce Applications," Computer and Information Science, 7(2):117-117, 2024. Available: https://www.researchgate.net/publication/262012982_A_Fraud_Detection_System_Based_on_Anomaly_Intrusion_Detection_Systems_for_E-Commerce_Applications
Seon, "6 Types of Ecommerce Fraud and How to Protect Against Them," SEON.io. [Online]. Available: https://seon.io/resources/ecommerce-fraud-detection-and-prevention/
Rohit Raj et al., "Assessing the e-commerce last-mile logistics’ hidden risk hurdles," Cleaner Logistics and Supply Chain, Volume 10, 100131, 2024. Available: https://www.sciencedirect.com/science/article/pii/S2772390923000409
Hanae Abbassi et al., "End-to-End Real-time Architecture for Fraud Detection in Online Digital Transactions," International Journal of Advanced Computer Science and Applications 14(6), 2023. Available: https://www.researchgate.net/publication/371970277_End-to-End_Real-time_Architecture_for_Fraud_Detection_in_Online_Digital_Transactions
Naimeh Borjalilu, "Risk Assessment and Machine Learning Models," 2024. Available: https://www.intechopen.com/chapters/1192087
Adam Hayes, "Risk Analysis: Definition, Types, Limitations, and Examples," Investopedia, 2024. [Online]. Available: https://www.investopedia.com/terms/r/risk-analysis.asp
Chris Baldwin, "Improving the ecommerce customer experience: Your complete guide," Insider, 2024. [Online]. Available: https://useinsider.com/improving-the-ecommerce-customer-experience-complete-guide/
National Institute of Standards and Technology, "Guide for Conducting Risk Assessments," NIST Special Publication 800-30 Revision 1, 2012. [Online]. Available: https://nvlpubs.nist.gov/nistpubs/legacy/sp/nistspecialpublication800-30r1.pdf
SentinelOne, "Top 12 Cyber Security Risk Assessment Tools For 2025," SentinelOne Cybersecurity Research, 2024. [Online]. Available: https://www.sentinelone.com/cybersecurity-101/cybersecurity/cyber-security-risk-assessment-tools/ .
Pallavi Wadhwani, "The Future of Digital Payments: 10 Trends to Watch For," Datanimbus.com. [Online]. Available: https://datanimbus.com/blog/the-future-of-digital-payments-10-trends-to-watch-for/
Chiradeep BasuMallick, "Digital Payment Trends: The Evolution of Cashless Transactions in a Mobile-First World," 2024. [Online]. Available: https://www.techfunnel.com/fintech/latest-digital-payment-trends/
