Addressing Technology Challenges in Banking and Financial Institutions Using AWS-Native Architectural Patterns
DOI:
https://doi.org/10.63282/3050-9416.IJAIBDCMS-V7I1P129Keywords:
AWS, Banking Technology, Financial Services, Cloud Architecture, Regulatory Compliance, Zero Trust, FinOps, Observability, Disaster Recovery, Event-Driven SystemsAbstract
Banking and financial institutions operate within highly regulated, security sensitive, and complex operational environments. The convergence of legacy system constraints, cybersecurity threats, regulatory mandates, and customer demand for real-time digital services requires a strategic approach to cloud transformation strategies. This paper presents an implementation-driven analysis of enterprise banking challenges and maps them to AWS-native architectural patterns aligned with industry frameworks such as the AWS Well-Architected Framework, and NIST Zero Trust Architecture. The paper uses examples from multi-account setups in regulated industries to create a model that links challenge-to-pattern in areas like modernization, governance, identity, observability, FinOps, disaster recovery, and AI governance. Observational insights and architectural trade-offs are assessed to provide a balanced, practitioner-oriented yet academically grounded contribution.
References
1. Amazon Web Services, AWS Well-Architected Framework, 2024. [Online]. Available: https://docs.aws.amazon.com/wellarchitected/latest/framework/welcome.html
2. National Institute of Standards and Technology (NIST), Zero Trust Architecture, NIST SP 800-207, Aug. 2020. [Online]. Available: https://doi.org/10.6028/NIST.SP.800-207
3. National Institute of Standards and Technology (NIST), Cybersecurity Framework (CSF) 2.0, Feb. 2024. [Online]. Available: https://nvlpubs.nist.gov/nistpubs/CSWP/NIST.CSWP.29.pdf
4. National Institute of Standards and Technology (NIST), Security and Privacy Controls for Information Systems and Organizations, NIST SP 800-53 Rev. 5, Sept. 2020. [Online]. Available: https://doi.org/10.6028/NIST.SP.800-53r5
5. National Institute of Standards and Technology (NIST), Digital Identity Guidelines, NIST SP 800-63-3 (Updated 2023). [Online]. Available: https://pages.nist.gov/800-63-3/
6. Cybersecurity and Infrastructure Security Agency (CISA), Zero Trust Maturity Model Version 2.0, Apr. 2023. [Online]. Available: https://www.cisa.gov/resources-tools/resources/zero-trust-maturity-model
7. Amazon Web Services, AWS Security Reference Architecture, 2025. [Online]. Available: https://docs.aws.amazon.com/prescriptive-guidance/latest/security-reference-architecture/introduction.html
8. Amazon Web Services, Financial Services Industry Lens, 2024. [Online]. Available: https://docs.aws.amazon.com/wellarchitected/latest/financial-services-industry-lens/welcome.html
9. Amazon Web Services, Disaster Recovery of Workloads on AWS: Recovery in the Cloud, 2024. [Online]. Available: https://docs.aws.amazon.com/whitepapers/latest/disaster-recovery-workloads-on-aws/recovery-in-the-cloud.html
10. National Institute of Standards and Technology (NIST), AI Risk Management Framework (AI RMF 1.0), Jan. 2023. [Online]. Available: https://nvlpubs.nist.gov/nistpubs/ai/nist.ai.100-1.pdf
11. Amazon Web Services, “Enabling AI Adoption at Scale Through Enterprise Risk Management Framework,” AWS Security Blog, 2025. [Online]. Available: https://aws.amazon.com/blogs/security/enabling-ai-adoption-at-scale-through-enterprise-risk-management-framework-part-1/
12. Amazon Web Services, “Operational Risk Management and AI for Banks and Financial Services Customers,” AWS Industries Blog, 2026. [Online]. Available: https://aws.amazon.com/blogs/industries/operational-risk-management-and-ai-for-banks-and-financial-services-customers/
13. Kaur, M., Bonkra, A., Verma, R., Khanna, N., Maken, P., & Sunkara, S. K. (2025). Comparative study of traditional and hybrid models in short-term financial forecasting using machine learning. In Innovations in Computing (pp. 13-18). CRC Press.