Cloud Native Enterprise Architectures for Secure Financial Analytics and Intelligent Decision Making with AI
Abstract
Cloud-native enterprise architectures are transforming the financial services industry by enabling scalable, resilient, and secure platforms for advanced analytics and intelligent decision-making. With the rapid growth of financial data and increasing regulatory requirements, traditional monolithic systems are no longer sufficient to meet modern demands. This study explores the integration of cloud-native technologies—such as microservices, containerization, and serverless computing—with artificial intelligence (AI) to support secure financial analytics. It emphasizes how these architectures enhance data processing capabilities, improve operational efficiency, and enable real-time insights for strategic decision-making
The research also examines security challenges in financial environments, including data privacy, regulatory compliance, and cyber threats, and highlights how cloud-native approaches incorporate built-in security mechanisms such as zero-trust models, encryption, and identity management. Furthermore, the role of AI in predictive analytics, fraud detection, and risk management is analyzed within a cloud-native ecosystem
By synthesizing existing research and proposing a structured methodology, this paper provides a comprehensive framework for designing secure, AI-enabled cloud-native architectures tailored for financial analytics. The findings demonstrate that adopting cloud-native principles significantly enhances agility, scalability, and intelligence in financial systems, positioning organizations for future innovation and competitive advantage
Article Information
Journal |
International Journal of Science, Research and Technology |
|---|---|
Volume (Issue) |
Vol. 9 No. 2 (2026): International Journal of Science, Research and Technology (IJSRAT) |
DOI |
|
Pages |
408-417 |
Published |
April 11, 2026 |
| Copyright |
All rights reserved |
Open Access |
This work is licensed under a Creative Commons Attribution 4.0 International License. |
How to Cite |
Ifesinachi Aroh (%2026). Cloud Native Enterprise Architectures for Secure Financial Analytics and Intelligent Decision Making with AI. International Journal of Science, Research and Technology , Vol. 9 No. 2 (2026): International Journal of Science, Research and Technology (IJSRAT) , pp. 408-417. https://doi.org/10.15662/IJSRAT.2026.0902012 |
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