A Layered Financial-Grade API Security Architecture: Integrating OAuth 2.0, FAPI, Open Banking, and Regulatory Controls for High-Assurance Financial Platforms

Shekar Vollem

Abstract


Financial services platforms increasingly expose core banking, payments, lending, and wealth management capabilities through APIs to enable open banking initiatives, regulated third-party providers (TPPs), fintech partnerships, and mobile-first digital experiences. Unlike conventional web APIs, however, financial APIs operate in a high-risk environment shaped by stringent regulatory mandates (such as PSD2 and Strong Customer Authentication), data protection requirements, payment network rules, and persistent adversarial threats including token replay, credential stuffing, consent abuse, and object-level authorization flaws. This paper proposes a structured, layered Secure API Design Model purpose-built for financial services platforms, synthesizing foundational authorization protocols (OAuth 2.0), federated identity standards (OpenID Connect), hardened financial profiles (FAPI), Open Banking implementation frameworks, OWASP API Security risk guidance, and NIST digital identity assurance principles. Through detailed analysis of protocol flows, cryptographic trust boundaries, consent lifecycle management, and real-world deployment patterns, the model formalizes a reference architecture centered on strong identity assurance, mutual authentication and cryptographic binding (e.g., mTLS and signed request objects), fine-grained least-privilege authorization, secure token handling, continuous monitoring, and operational governance. By integrating regulatory compliance with modern zero-trust and defense-in-depth strategies, the proposed framework offers architects and platform engineers a systematic approach for designing resilient, high-assurance, and regulation-compliant API ecosystems capable of sustaining secure interoperability in rapidly evolving financial environments.


Full Text:

PDF

References


Fett, D., Küsters, R., & Schmitz, G. (2016). A comprehensive formal security analysis of OAuth 2.0. Proceedings of the ACM SIGSAC Conference on Computer and Communications Security (CCS), 1204–1215. https://doi.org/10.1145/2976749.2978385

Fett, D., Hosseyni, P., & Küsters, R. (2020). An extensive formal security analysis of the OpenID financial-grade API. IEEE Symposium on Security and Privacy. https://www.sec.uni-stuttgart.de/documents/publications/fetthosseynikuesters-fapi-sp-2019.pdf

Hardt, D. (2012). The OAuth 2.0 authorization framework (RFC 6749). Internet Engineering Task Force. https://doi.org/10.17487/RFC6749

Lodderstedt, T., McGloin, M., & Hunt, P. (2013). OAuth 2.0 threat model and security considerations (RFC 6819). IETF. https://doi.org/10.17487/RFC6819

Jones, M., Bradley, J., & Sakimura, N. (2015). JSON Web Token (JWT) (RFC 7519). IETF. https://doi.org/10.17487/RFC7519

Jones, M., Sakimura, N., & Bradley, J. (2015). JSON Web Signature (JWS) (RFC 7515). IETF. https://doi.org/10.17487/RFC7515

OpenID Foundation. (2018). Financial-grade API security profile 1.0 – Part 1: Read-only API. https://openid.net/specs/openid-financial-api-part-1-ID2.html

Madhava Rao Thota. (2019). Advancing Mission-Critical Data Platforms Through Predictive Observability and Autonomous Diagnostics. European Journal of Advances in Engineering and Technology, 6(1), 162–174. https://doi.org /10.5281/zenodo.18083069

Al-Fedaghi, S. (2002). Developing secure web applications: A systematic approach. Information Security Journal: A Global Perspective, 21(5), 234–243. DOI:10.1109/MIC.2002.1067735

Mainka, C., Mladenov, V., Schwenk, J., & Wich, T. (2017). SoK: Single sign-on security An evaluation of OpenID Connect. IEEE European Symposium on Security and Privacy, 251–266. https://ieeexplore.ieee.org/document/7961984

Chen, E., Pei, Y., Chen, S., Tian, Y., Kotcher, R., & Jackson, C. (2014). OAuth demystified for mobile application developers. Proceedings of the ACM SIGSAC Conference on Computer and Communications Security, 892–903. https://doi.org/10.1145/2660267.2660323

Ghosh, A., & Swaminatha, T. (2001). Software security and privacy risks in mobile e-commerce. Communications of the ACM, 44(2), 51–57. https://doi.org/10.1145/359205.359227

Beznosov, K., & Kruchten, P. (2004). Towards agile security assurance. Proceedings of the 2004 Workshop on New Security Paradigms, 47–54. https://doi.org/10.1145/1065907.1066034

Srikanth Chakravarthy Vankayala. (2017). Embedding Quality Intelligence in API-First Architectures: Assurance Frameworks for Real-Time Financial Transactions. Journal of Scientific and Engineering Research, 4(6), 227–241. https://doi.org/10.5281/zenodo.17839629

Ristenpart, T., Tromer, E., Shacham, H., & Savage, S. (2009). Hey, you, get off of my cloud: Exploring information leakage in third-party compute clouds. Proceedings of the ACM Conference on Computer and Communications Security, 199–212. https://doi.org/10.1145/1653662.1653687

Jensen, M., Schwenk, J., Gruschka, N., & Iacono, L. L. (2009). On technical security issues in cloud computing. Proceedings of the IEEE International Conference on Cloud Computing, 109–116. https://doi.org/10.1109/CLOUD.2009.60


Refbacks

  • There are currently no refbacks.


Copyright (c) 2026 International Journal of Machine Learning for Sustainable Development

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Impact Factor : 

JCR Impact Factor: 5.9 (2020)

JCR Impact Factor: 6.1 (2021)

JCR Impact Factor: 6.7 (2022)

JCR Impact Factor: 7.6 (2023)

JCR Impact Factor: 8.6 (2024)

JCR Impact Factor: Under Evaluation (2025)

A Double-Blind Peer-Reviewed Refereed Journal