AI Driven Real Time Data Synchronization for Secure Cloud Enterprise Network Decision Systems in Digital Banking and Healthcare
Abstract
Artificial Intelligence (AI)–driven real-time data synchronization has emerged as a critical enabler for secure cloud enterprise network decision systems in digital banking and healthcare. These sectors operate within highly dynamic, data-intensive, and regulation-bound environments where timely, accurate, and secure data exchange is essential for operational continuity, risk mitigation, and service personalization. Traditional batch-oriented synchronization mechanisms fail to meet the latency, scalability, and security requirements of modern cloud-native infrastructures. This study proposes an AI-driven framework that integrates real-time stream processing, secure cloud orchestration, intelligent anomaly detection, and adaptive synchronization policies within enterprise networks. By leveraging distributed streaming platforms, software-defined networking, and machine learning–based threat analytics, the framework ensures low-latency synchronization while maintaining compliance with regulatory standards. In digital banking, real-time fraud detection and transaction reconciliation are enhanced, whereas in healthcare, synchronized electronic health records (EHRs) and telemedicine data streams improve clinical decision-making. The research demonstrates that AI-enabled synchronization reduces data inconsistencies, improves network resilience, enhances predictive insights, and strengthens cybersecurity defenses. The study further evaluates architectural components, methodological design, performance metrics, and governance implications, offering a comprehensive blueprint for intelligent, secure, and scalable enterprise decision systems in sensitive digital domains
Article Information
Journal |
International Journal of Science, Research and Technology |
|---|---|
Volume (Issue) |
Vol. 9 No. 1 (2026): International Journal of Science, Research and Technology (IJSRAT) |
DOI |
|
Pages |
20-28 |
Published |
February 5, 2026 |
| Copyright |
All rights reserved |
Open Access |
This work is licensed under a Creative Commons Attribution 4.0 International License. |
How to Cite |
Mauricio Aniche (%2026). AI Driven Real Time Data Synchronization for Secure Cloud Enterprise Network Decision Systems in Digital Banking and Healthcare. International Journal of Science, Research and Technology , Vol. 9 No. 1 (2026): International Journal of Science, Research and Technology (IJSRAT) , pp. 20-28. https://doi.org/10.15662/IJSRAT.2026.0901003 |
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