Real Time Policy Orchestration for Cybersecurity Risk Management in GRC Aligned Financial Technology Infrastructures


Authors : Ugoaghalam Uche James; Edward Oziegbe Salami; Lawrence Anebi Enyejo

Volume/Issue : Volume 10 - 2025, Issue 8 - August


Google Scholar : https://tinyurl.com/44phyhus

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DOI : https://doi.org/10.38124/ijisrt/25aug1021

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Abstract : The increasing complexity and interconnectivity of financial technology (fintech) infrastructures have heightened the need for real-time cybersecurity risk management strategies. This review explores the role of real-time policy orchestration in aligning Governance, Risk, and Compliance (GRC) frameworks with advanced cybersecurity protocols to ensure adaptive and resilient fintech ecosystems. Emphasis is placed on dynamic policy enforcement engines, threat intelligence integration, and automated decision-making systems that respond to evolving cyber threats. The paper evaluates how real-time orchestration enhances threat visibility, reduces latency in incident response, and aligns with regulatory mandates across jurisdictions. Through a comprehensive examination of existing policy frameworks, orchestration tools, and implementation challenges, the study offers critical insights into future innovations in secure financial technologies. The review concludes by proposing a scalable architecture for real-time policy enforcement that embeds GRC principles within the security-by-design paradigm of modern fintech platforms.

Keywords : Real-Time Policy Orchestration; Cybersecurity Risk Management; Fintech Infrastructure; GRC Frameworks; Automated Compliance Enforcement.

References :

  1. Adedayo I. S., Jinadu, S. O., Alaka, E., Abiodun, K. D., Peter-Anyebe, A. C. (2025). Leading the development of AI-Drive AML and Compliance Infrastructure to Modernize U.S Financial Crime Prevention System Across Digital and Traditional Platforms. International Journal for Multidisciplinary Research (IJFMR), Volume 7, Issue 4, July-August 2025.  
  2. Ahmed, M., & Ullah, I. (2021). Enhancing SIEM capabilities through automated threat intelligence integration. Journal of Information Security and Applications, 59, 102830. https://doi.org/10.1016/j.jisa.2021.102830
  3. Ajayi, A. A., Igba, E., Soyele, A. D., & Enyejo, J. O. (2024). Quantum Cryptography and Blockchain-Based Social Media Platforms as a Dual Approach to Securing Financial Transactions in CBDCs and Combating Misinformation in U.S. Elections. International Journal of Innovative Science and Research Technology. Volume 9, Issue 10, Oct.– 2024 ISSN No: -2456-2165  https://doi.org/10.38124/ijisrt/IJISRT24OCT1697.
  4. Ajayi, J. O., Omidiora, M. T., Addo, G. & Peter-Anyebe, A. C. (2019). Prosecutability of the Crime of Aggression: Another Declaration in A Treaty or an Achievable Norm? International Journal of Applied Research in Social Sciences Vol. 1(6), pp. 237-252, November, 2019. 
  5. Alaka, E., Abiodun, K., Jinadu, S. O., Igba, E. & Ezeh, V. N. (2025). Data Integrity in Decentralized Financial Systems: A Model for Auditable, Automated Reconciliation Using Blockchain and AI, International Journal of Management and Commerce Innovations Vol. 13, Issue 1, pp: (136-158) DOI: https://doi.org/ 10.5281/zenodo.15753099
  6. Arner, D. W., Barberis, J., & Buckley, R. P. (2017). Fintech and regtech: Impact on regulators and banks. Journal of Banking Regulation, 19(4), 1–14. https://doi.org/10.1057/s41261-017-0038-3
  7. Atalor, S. I. (2019). Federated Learning Architectures for Predicting Adverse Drug Events in Oncology Without Compromising Patient Privacy ICONIC RESEARCH AND ENGINEERING JOURNALS JUN 2019 | IRE Journals | Volume 2 Issue 12 | ISSN: 2456-8880 
  8. Atalor, S. I. (2022). Blockchain-Enabled Pharmacovigilance Infrastructure for National Cancer Registries. International Journal of Scientific Research and Modern Technology, 1(1), 50–64. https://doi.org/10.38124/ijsrmt.v1i1.493
  9. Atalor, S. I., & Enyejo, J. O. (2025). Mobile Health Platforms for Medication Adherence among Oncology Patients in Rural Populations International Journal of Innovative Science and Research Technology Volume 10, Issue 5, ISSN No: -2456-2165 https://doi.org/10.38124/ijisrt/25may415
  10. Atalor, S. I., Ijiga, O. M., & Enyejo, J. O. (2023). Harnessing Quantum Molecular Simulation for Accelerated Cancer Drug Screening. International Journal of Scientific Research and Modern Technology, 2(1), 1–18. https://doi.org/10.38124/ijsrmt.v2i1.502
  11. Atalor, S. I., Raphael, F. O. & Enyejo, J. O. (2023). Wearable Biosensor Integration for Remote Chemotherapy Monitoring in Decentralized Cancer Care Models. International Journal of Scientific Research in Science and Technology Volume 10, Issue 3 (www.ijsrst.com) doi: https://doi.org/10.32628/IJSRST23113269
  12. Avgerou, C., & Walsham, G. (2017). Scaling digital infrastructure: Interoperability tensions in fintech ecosystems. MIS Quarterly, 41(4), 905–926. https://doi.org/10.25300/MISQ/2017/41.4.08
  13. Azonuche, T. I., & Enyejo, J. O. (2024). Evaluating the Impact of Agile Scaling Frameworks on Productivity and Quality in Large-Scale Fintech Software Development. International Journal of Scientific Research and Modern Technology, 3(6), 57–69. https://doi.org/10.38124/ijsrmt.v3i6.449
  14. Azonuche, T. I., & Enyejo, J. O. (2024). Exploring AI-Powered Sprint Planning Optimization Using Machine Learning for Dynamic Backlog Prioritization and Risk Mitigation. International Journal of Scientific Research and Modern Technology, 3(8), 40–57. https://doi.org/10.38124/ijsrmt.v3i8.448.
  15. Azonuche, T. I., & Enyejo, J. O. (2025). Adaptive Risk Management in Agile Projects Using Predictive Analytics and Real-Time Velocity Data Visualization Dashboard. International Journal of Innovative Science and Research Technology Volume 10, Issue 4, April – 2025 ISSN No: -2456-2165 https://doi.org/10.38124/ijisrt/25apr2002
  16. Bamberger, K. A. (2009). Technologies of compliance: Risk and regulation in a digital age. Tex. L. Rev.88, 669.
  17. Böhme, R., & Moore, T. (2018). The trouble with static GRC: Reframing cybersecurity governance in agile systems. Journal of Cybersecurity, 4(1), 1–15. https://doi.org/10.1093/cybsec/tyy006
  18. Broady, D. V., & Roland, H. A. (2011). SAP GRC for dummies. John Wiley & Sons.
  19. Chandola, V., Banerjee, A., & Kumar, V. (2009). Anomaly detection: A survey. ACM Computing Surveys, 41(3), 1–58. https://doi.org/10.1145/1541880.1541882
  20. Deep, G., Sidhu, J., & Mohana, R. (2023). Distributed pep–pdp architecture for cloud databases. Wireless Personal Communications128(3), 1733-1761.
  21. Eling, M., & Schnell, W. (2016). What do we know about cyber risk and cyber risk insurance? Journal of Risk Finance, 17(5), 474–491. https://doi.org/10.1108/JRF-09-2016-0130
  22. Enyejo, J. O., Adeyemi, A. F., Olola, T. M., Igba, E & Obani, O. Q. (2024). Resilience in supply chains: How technology is helping USA companies navigate disruptions. Magna Scientia Advanced Research and Reviews, 2024, 11(02), 261–277. https://doi.org/10.30574/msarr.2024.11.2.0129
  23. Enyejo, J. O., Fajana, O. P., Jok, I. S., Ihejirika, C. J., Awotiwon, B. O., & Olola, T. M. (2024). Digital Twin Technology, Predictive Analytics, and Sustainable Project Management in Global Supply Chains for Risk Mitigation, Optimization, and Carbon Footprint Reduction through Green Initiatives. International Journal of Innovative Science and Research Technology, Volume 9, Issue 11, November– 2024.  ISSN No: -2456-2165.   https://doi.org/10.38124/ijisrt/IJISRT24NOV1344
  24. Faruq, M. O. (2025). A meta-analysis of cybersecurity framework integration in GRC platforms: Evidence from US enterprise audits. Journal of Sustainable Development and Policy1(01), 224-249.
    Gai, K., Qiu, M., & Zhao, H. (2017). Security issues in mobile cloud computing: A survey. Future Generation Computer Systems, 70, 1–12. https://doi.org/10.1016/j.future.2016.06.003
    Gatzert, N., & Schmit, J. (2016). Supporting risk-informed decision-making in real-time environments: Limits of legacy GRC frameworks. Risk Management and Insurance Review, 19(2), 161–189.
    https://doi.org/10.1111/rmir.12037
  25. Geely, (2025). Transactional Technology https://zgh.com/fintech/?lang=en
  26. Hasan, M., & Faruq, M. O. (2025). AI-AUGMENTED RISK DETECTION IN CYBERSECURITY COMPLIANCE: A GRC-BASED EVALUATION IN HEALTHCARE AND FINANCIAL SYSTEMS. ASRC Procedia: Global Perspectives in Science and Scholarship1(01), 313-342.
  27. Idika, C. N., James, U.U, Ijiga, O. M., Enyejo, L. A. (2023). Digital Twin-Enabled Vulnerability Assessment with Zero Trust Policy Enforcement in Smart Manufacturing Cyber-Physical System International Journal of Scientific Research in Computer Science, Engineering and Information Technology Volume 9, Issue 6 doi: https://doi.org/10.32628/IJSRCSEIT
  28. Idika, C. N., Enyejo, J. O., Ijiga, O. M. & Okika, N. (2025). Entrepreneurial Innovations in AI-Driven Anomaly Detection for Software-Defined Networking in Critical Infrastructure Security International Journal of Social Science and Humanities Research Vol. 13, Issue 3, pp: (150-166), DOI: https://doi.org/10.5281/zenodo.16408773
  29. Ijiga, O. M., Balogun, S. A., Okika, N., Agbo, O. J. & Enyejo, L. A. (2025). An In-Depth Review of Blockchain-Integrated Logging Mechanisms for Ensuring Integrity and Auditability in Relational Database Transactions International Journal of Social Science and Humanities Research Vol. 13, Issue 3, DOI: https://doi.org/10.5281/zenodo.15834931
  30. Ijiga, O. M., Ifenatuora, G. P., & Olateju, M. (2021). Bridging STEM and Cross-Cultural Education: Designing Inclusive Pedagogies for Multilingual Classrooms in Sub Saharan Africa.  JUL 2021 | IRE Journals | Volume 5 Issue 1 | ISSN: 2456-8880.
  31. Ijiga, O. M., Ifenatuora, G. P., & Olateju, M. (2021). Digital Storytelling as a Tool for Enhancing STEM Engagement: A Multimedia Approach to Science Communication in K-12 Education. International Journal of Multidisciplinary Research and Growth Evaluation. Volume 2; Issue 5; September-October 2021; Page No. 495-505.  https://doi.org/10.54660/.IJMRGE.2021.2.5.495-505 
  32. Ijiga, O. M., Ifenatuora, G. P., & Olateju, M. (2022). AI-Powered E-Learning Platforms for STEM Education: Evaluating Effectiveness in Low Bandwidth and Remote Learning Environments. International Journal of Scientific Research in Computer Science, Engineering and Information Technology ISSN: 2456-3307 Volume 8, Issue 5 September-October-2022 Page Number: 455-475 doi: https://doi.org/10.32628/IJSRCSEIT 
  33. Ijiga, O. M., Ifenatuora, G. P., & Olateju, M. (2023). STEM-Driven Public Health Literacy: Using Data Visualization and Analytics to Improve Disease Awareness in Secondary Schools. International Journal of Scientific Research in Science and Technology. Volume 10, Issue 4 July-August-2023 Page Number: 773-793. https://doi.org/10.32628/IJSRST
  34. Ijiga, O. M., Okika, N., Balogun, S. A., Agbo, O. J. & Enyejo, L. A. (2025). Recent Advances in Privacy-Preserving Query Processing Techniques for Encrypted Relational Databases in Cloud Infrastructure, International Journal of Computer Science and Information Technology Research Vol. 13, Issue 3, DOI: https://doi.org/10.5281/zenodo.15834617
  35. Imoh, P. O. & Enyejo, J. O. (2025). Analyzing Social Communication Deficits in Autism Using Wearable Sensors and Real-Time Affective Computing Systems, International Journal of Innovative Science and Research Technology Volume 10, Issue 5 https://doi.org/10.38124/ijisrt/25may866
  36. Imoh, P.O., Ajiboye,A. S., Balogun, T. K., Ijiga, A. C., Olola, T, M. & Ahmadu, E. O. (2025). Exploring the integration of psychedelic-assisted therapy and digital mental health interventions in trauma recovery for underserved adults with high-functioning autism, Magna Scientia Advanced Research and Reviews, 2025, DOI: https://doi.org/10.30574/msarr.2025.14.1.0079
  37. Islam, C. (2020). Architecture-centric support for security orchestration and automation (Doctoral dissertation, ph. d.-avh., 2020. adresse: https://hdl. handle. net/2440/129206).
  38. James, U. U., Idika, C. N., & Enyejo, L. A. (2023). Zero Trust Architecture Leveraging AI-Driven Behavior Analytics for Industrial Control Systems in Energy Distribution Networks, International Journal of Scientific Research in Computer Science, Engineering and Information Technology Volume 9, Issue 4 doi : https://doi.org/10.32628/CSEIT23564522
  39. James, U. U., Ijiga, O. M., & Enyejo, L. A. (2024). AI-Powered Threat Intelligence for Proactive Risk Detection in 5G-Enabled Smart Healthcare Communication Networks. International Journal of Scientific Research and Modern Technology, 3(11), 125–140. https://doi.org/10.38124/ijsrmt.v3i11.679
  40. Laatikainen, G., & Järvi, K. (2021). Overcoming technological constraints in digital financial ecosystems: An orchestration perspective. Information Systems Journal, 31(2), 174–199. https://doi.org/10.1111/isj.12266
  41. Mark, M. A. M., & Joy, M. (2021). Intelligent Trust: Leveraging AI for Dynamic Policy Orchestration in Zero Trust Security Architectures.
  42. Mavroeidis, V., & Bromander, S. (2017). Cyber threat intelligence model: An evaluation of taxonomies, sharing standards, and ontologies. Procedia Computer Science, 100, 470–479. https://doi.org/10.1016/j.procs.2017.09.076
  43. McConnell, A., & Drennan, L. (2020). Mission impossible? GRC integration in agile digital environments. Public Administration Review, 80(6), 988–999. https://doi.org/10.1111/puar.13271
  44. Mohamed Noor, A. F., Moghavvemi, S., Tajudeen, F. P., Motaghi, H., & Salehi, A. (2025). Factors affecting Cybersecurity Readiness from Dynamic Capabilities Perspective: A Thematic Review.
  45. Möller, D. P. (2023). Cybersecurity in digital transformation. In Guide to cybersecurity in digital transformation: Trends, methods, technologies, applications and best practices (pp. 1-70). Cham: Springer Nature Switzerland.
  46. Norman, M. D., & Koehler, M. T. (2017, October). Cyber defense as a complex adaptive system: A model-based approach to strategic policy design. In Proceedings of the 2017 International Conference of The Computational Social Science Society of the Americas (pp. 1-1).
  47. Odedina, E. A. (2023). Redefining Governance, Risk, and Compliance (GRC) in the Digital Age: Integrating AI-Driven Risk Management Frameworks.
  48. Odetunde, A., Adekunle, B. I., & Ogeawuchi, J. C. (2022). Using Predictive Analytics and Automation Tools for Real-Time Regulatory Reporting and Compliance Monitoring. Int. J. Multidiscip. Res. Growth Eval3(2), 650-661.
  49. Ononiwu, M., Azonuche, T. I., & Enyejo, J. O. (2023). Exploring Influencer Marketing Among Women Entrepreneurs using Encrypted CRM Analytics and Adaptive Progressive Web App Development. International Journal of Scientific Research and Modern Technology, 2(6), 1–13. https://doi.org/10.38124/ijsrmt.v2i6.562
  50. Ononiwu, M., Azonuche, T. I., & Enyejo, J. O. (2025). Analyzing Email Marketing Impacts on Revenue in Home Food Enterprises using Secure SMTP and Cloud Automation International Journal of Innovative Science and Research Technology Volume 10, Issue 6, https://doi.org/10.38124/ijisrt/25jun286
  51. Ononiwu, M., Azonuche, T. I., Imoh, P. O. & & Enyejo J. O. (2023). Exploring SAFe Framework Adoption for Autism-Centered Remote Engineering with Secure CI/CD and Containerized Microservices Deployment International Journal of Scientific Research in Science and Technology Volume 10, Issue 6 doi: https://doi.org/10.32628/IJSRST
  52. Ononiwu, M., Azonuche, T. I., Imoh, P. O. & Enyejo, J. O. (2024). Evaluating Blockchain Content Monetization Platforms for Autism-Focused Streaming with Cybersecurity and Scalable Microservice Architectures ICONIC RESEARCH AND ENGINEERING JOURNALS Volume 8 Issue 1
  53. Ononiwu, M., Azonuche, T. I., Okoh, O. F., & Enyejo, J. O. (2023). AI-Driven Predictive Analytics for Customer Retention in E-Commerce Platforms using Real-Time Behavioral Tracking. International Journal of Scientific Research and Modern Technology, 2(8), 17–31. https://doi.org/10.38124/ijsrmt.v2i8.561
  54. Ononiwu, M., Azonuche, T. I., Okoh, O. F. & Enyejo, J. O. (2023). Machine Learning Approaches for Fraud Detection and Risk Assessment in Mobile Banking Applications and Fintech Solutions International Journal of Scientific Research in Science, Engineering and Technology Volume 10, Issue 4 doi: https://doi.org/10.32628/IJSRSET
  55. Power, M. (2019). Riskwork: Essays on the organizational life of risk management. Accounting, Organizations and Society, 74, 1–13. https://doi.org/10.1016/j.aos.2018.07.004
  56. Radanliev, P., De Roure, D., & Nurse, J. R. (2020). Real-time cyber risk analytics for connected industries using adaptive risk scoring systems. Technological Forecasting and Social Change, 157, 120096. https://doi.org/10.1016/j.techfore.2020.120096
  57. Sadiq, S., & Governatori, G. (2015). Managing regulatory compliance in business processes. Handbook of Research on Business Process Modeling, 2, 416–432. https://doi.org/10.4018/978-1-60566-288-6.ch019
  58. Shahnawaz, K. (2024). ADAPTIVE CYBERSECURITY STRATEGIES FOR CLOUD-BASED REAL-TIME DATA ANALYTICS PLATFORMS.
  59. Shenisetty, N. (2025). Architecting cloud-native financial systems: Key principles and patterns. World Journal of Advanced Research and Reviews26(1), 3520-3526.
  60. Shollo, A., & Galliers, R. D. (2016). Towards an understanding of the role of business intelligence systems in organizational knowing. Information Systems Journal, 26(4), 339–367. https://doi.org/10.1111/isj.12071
  61. Subramanian, H., & Jeyaraj, A. (2018). Recent security challenges in cloud computing. Journal of Information Technology Case and Application Research, 20(1), 20–30. https://doi.org/10.1080/15228053.2018.1464259
  62. Talabis, J. M., & Martin, J. (2018). Designing a GRC strategy in the age of fintech disruption. Journal of Strategic Information Systems, 27(4), 387–397. https://doi.org/10.1016/j.jsis.2018.04.002
  63. Umoga, U. J., Sodiya, E. O., Amoo, O. O., & Atadoga, A. (2024). A critical review of emerging cybersecurity threats in financial technologies. International Journal of Science and Research Archive11(1), 1810-1817.
  64. Ussher-Eke, D., Omachi, A. & Ijiga, O. M. (2025). Managing Performance and Building Digital Trust in Remote Teams Through Cybersecurity-Conscious HRM Policies and the Economics of Remote Work International Journal of Scientific Research and Modern Technology, Volume 10, Issue 7,  https://doi.org/10.38124/ijisrt/25jul1448
  65. Vine, R. and Smith, T. (2021). Removing risk and conquering compliance with GRC software https://www.pwc.com.au/digitalpulse/grc-software-governance-risk-compliance.html
  66. Von Solms, R., & Van Niekerk, J. (2018). From information security to cyber security. Computers & Security, 38, 97–102. https://doi.org/10.1016/j.cose.2013.04.004
  67. Woodside, J. M., Augustine, F. K., & Giberson, W. (2020). A blockchain framework for interoperability in global digital finance. Journal of Enterprise Information Management, 33(6), 1231–1246. https://doi.org/10.1108/JEIM-09-2019-0282
  68. Wulfert, T. (2024). Platforms as Orchestrators in E-Commerce Ecosystems. In Selected Perspectives on Platforms in E-Commerce Ecosystems: Recommendations for the Design and Management of Boundary Resources and Guidance on the Orchestration of Ecosystem Participants (pp. 371-412). Wiesbaden: Springer Fachmedien Wiesbaden.
  69. Xu, X., Weber, I., & Staples, M. (2019). Architecture for blockchain applications. Journal of Systems and Software, 151, 133–149. https://doi.org/10.1016/j.jss.2019.01.010
  70. Zetzsche, D. A., Buckley, R. P., Arner, D. W., & Barberis, J. N. (2020). Regulating a revolution: From regulatory sandboxes to smart regulation. Fordham Journal of Corporate & Financial Law, 25(1), 31–75. https://ir.lawnet.fordham.edu/jcfl/vol25/iss1/2/
  71. Zwitter, A., & Boisse-Despiaux, M. (2020). Blockchain for humanitarian data: Towards secure and trusted data governance. Journal of International Humanitarian Action, 5(1), 1–9. https://doi.org/10.1186/s41018-020-00072-3

The increasing complexity and interconnectivity of financial technology (fintech) infrastructures have heightened the need for real-time cybersecurity risk management strategies. This review explores the role of real-time policy orchestration in aligning Governance, Risk, and Compliance (GRC) frameworks with advanced cybersecurity protocols to ensure adaptive and resilient fintech ecosystems. Emphasis is placed on dynamic policy enforcement engines, threat intelligence integration, and automated decision-making systems that respond to evolving cyber threats. The paper evaluates how real-time orchestration enhances threat visibility, reduces latency in incident response, and aligns with regulatory mandates across jurisdictions. Through a comprehensive examination of existing policy frameworks, orchestration tools, and implementation challenges, the study offers critical insights into future innovations in secure financial technologies. The review concludes by proposing a scalable architecture for real-time policy enforcement that embeds GRC principles within the security-by-design paradigm of modern fintech platforms.

Keywords : Real-Time Policy Orchestration; Cybersecurity Risk Management; Fintech Infrastructure; GRC Frameworks; Automated Compliance Enforcement.

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