Real Time Data Integration and Risk Exception Management in AI Powered Digital Payment Systems with Secure CI CD and SDN Networks
Abstract
AI-powered digital payment systems are transforming global commerce by enabling real-time fraud detection, dynamic credit scoring, and personalized financial services. However, the integration of heterogeneous data streams, continuous risk monitoring, and secure software delivery remains a critical challenge. This study explores real-time data integration and risk exception management in AI-driven payment ecosystems supported by Secure CI/CD pipelines and Software-Defined Networking (SDN) architectures. The proposed framework leverages streaming platforms, distributed microservices, machine learning risk engines, DevSecOps practices, and programmable SDN controllers to ensure scalability, resilience, and security. Real-time analytics engines process transactional, behavioral, and contextual data to identify anomalies and generate automated risk exceptions. Secure CI/CD pipelines enforce automated testing, code scanning, compliance validation, and rapid deployment while minimizing operational vulnerabilities. SDN enhances network visibility, segmentation, and adaptive threat mitigation. The research highlights how integrating AI governance, zero-trust networking, and continuous monitoring can significantly reduce fraud rates, operational risks, and deployment delays. The findings demonstrate that combining real-time data orchestration with automated risk exception workflows and secure infrastructure management improves transaction reliability, regulatory compliance, and customer trust in digital payment systems
Article Information
Journal |
International Journal of Advanced Engineering Science and Information Technology (IJAESIT) |
|---|---|
Volume (Issue) |
Vol. 6 No. 6 (2023): International Journal of Advanced Engineering Science and Information Technology (IJAESIT) |
DOI |
|
Pages |
12853-12862 |
Published |
December 6, 2023 |
| Copyright | |
Open Access |
This work is licensed under a Creative Commons Attribution 4.0 International License. |
How to Cite |
Marek Cygan (2023). Real Time Data Integration and Risk Exception Management in AI Powered Digital Payment Systems with Secure CI CD and SDN Networks. International Journal of Advanced Engineering Science and Information Technology (IJAESIT) , Vol. 6 No. 6 (2023): International Journal of Advanced Engineering Science and Information Technology (IJAESIT) , pp. 12853-12862. https://doi.org/10.15662/IJAESIT.2023.0606004 |
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