Integrated Reliability and Governance Framework for Enterprise-Scale IT Infrastructure
Keywords:
Accounting: automation; change; completion; consistency; consumption; control; correction; OSINT; OSIR; OSWM; performance; requirement; response; SRE; staging; strategy; tolerance; validation; verification; availability; RTO; RPO; remediation; correctness; safety; conformity; localization.Abstract
A Unified Operational Assurance Model is evolving to address the complexities of large-scale digital infrastructure consisting of networks, systems, platforms, and services deployed on multi-cloud environments across hybrid control and operational domains. It encompasses service observability, resilience, security, and risk management for highly confidential or classified services requiring service-level agreement assurances of zero business impact due to acute operational failures and adversarial incidents. The business objectives include reduced management effort and cost; appropriate use of advanced technology for operational resiliency; threat detection and attack-hardened technology; progressive teleporting of threat vulnerability; reliable contingency operation at a fraction of the normal cost; support for secure operation from untrusted locations or during insider threat; and timely disaster recovery to a backup site. The stakeholder community consists of business strategy decision-makers, business operational failure risk owners, and operational experts in resilience engineering, security, and risk management.
Downloads
References
1. Al-Said Ahmad, A., Al-Qora’n, L. F., & Zayed, A. (2024). Exploring the impact of chaos engineering with various user loads on cloud native applications: An exploratory empirical study. Computing, 106, 2389–2425.
2. Naguib, H. M., Kassem, H. M., & Abou Naem, A. M. (2024). The impact of IT governance and data governance on financial and non-financial performance. Future Business Journal, 10, Article 15.
3. Amistapuram, K., Pandiri, L., Raju, V. R., Paleti, S., Singireddy, S., & Sheelam, G. K. (2025). AI-Based Cloud Infrastructure and MLOps Frameworks for Scalable Data Engineering Across Banking and Insurance. In 2025 IEEE International Conference on Communication Networks and Computing (CNC) (pp. 186–192). IEEE. 2025 IEEE International Conference on Communication Networks and Computing (CNC). https://doi.org/10.1109/cnc68716.2025.11484532
4. Wu, T.-H., Huang, S.-Y., Chiu, A.-A., & Yen, D. C. (2024). IT governance and IT controls: Analysis from an internal auditing perspective. International Journal of Accounting Information Systems, 52, Article 100663.
5. Phalke, S., Athave, Y. D., & Ilag, B. N. (2025). A multi-layered approach to IT infrastructure governance and compliance: Security, hardening, and audit readiness. International Journal of Computer Applications, 187(12), 29–33.
6. Wang, L. (2022). The operation and maintenance governance of microservices architecture systems: A systematic literature review. Journal of Software: Evolution and Process, 34(10), e2433.
7. Balamurugan, J., Bhuvaneswari, M., Aitha, A. R., Nagaraju, S., Viswanathan, R., & Dhasarathan, N. (2025, November). Explanatory Transformer-Based Sequential Recommendation: Assessing BERTRec with SASRec for Customer Behaviour Prediction. In 2025 International Conference on Emerging Engineering Technologies and Applications (IC-EETA) (pp. 470-475). IEEE.
8. Liu, J., Jiang, Z., Gu, J., Huang, J., Chen, Z., Feng, C., Yang, Z., Yang, Y., & Lyu, M. R. (2023). Prism: Revealing hidden functional clusters from massive instances in cloud systems. In Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering (pp. 268–280).
9. Poltronieri, F., Tortonesi, M., & Stefanelli, C. (2022). A chaos engineering approach for improving the resiliency of IT services configurations. In IEEE/IFIP Network Operations and Management Symposium.
10. Karanjkar, R. (2022). Resiliency testing in cloud infrastructure for distributed systems. International Journal of Research Publications in Engineering, Technology and Management, 5(4).
11. Naguib, H. M., Kassem, H. M., & Abou Naem, A. M. (2024). The impact of IT governance and data governance on financial and non-financial performance. Future Business Journal, 10, Article 15.
12. Segireddy, A. R. (2025). Generative Ai For Secure Release Engineering In Global Payment Network. Lex Localis: Journal of Local Self-Government, 23.
13. Huang, J., Henfridsson, O., Liu, M. J., & Newell, S. (2022). Growing on steroids: Rapid scaling and the emergence of digital platforms. Information Systems Research, 33(2), 562–581.
14. Vial, G. (2021). Understanding digital transformation: A review and a research agenda. Managing Digital Transformation, 13–66.
15. Verhoef, P. C., Broekhuizen, T., Bart, Y., Bhattacharya, A., Dong, J. Q., Fabian, N., & Haenlein, M. (2021). Digital transformation: A multidisciplinary reflection and research agenda. Journal of Business Research, 122, 889–901.
16. Gong, C., & Ribiere, V. (2021). Developing a unified definition of digital transformation. Technovation, 102, 102217.
17. Feroz, A. K., Zo, H., & Chiravuri, A. (2021). Digital transformation and environmental sustainability: A review and research agenda. Sustainability, 13(3), 1530.
18. Mikalef, P., & Gupta, M. (2021). Artificial intelligence capability: Conceptualization, measurement calibration, and empirical study on its impact on organizational creativity and firm performance. Information & Management, 58(3), 103434.
19. Nagabhyru, K. C., Rani, M., Reddy, D. S., & Krishnaraj, V. (2025, August). Machine Learning-Driven Fault Detection in Electric Vehicles via Hybrid Reinforcement Learning Model. In 2025 2nd International Conference on Intelligent Algorithms for Computational Intelligence Systems (IACIS) (pp. 1-6). IEEE.
20. Wamba-Taguimdje, S.-L., Wamba, S. F., Kamdjoug, J. R. K., & Wanko, C. E. T. (2021). Influence of artificial intelligence on firm performance: The business value of AI-based transformation projects. Business Process Management Journal, 27(4), 1143–1161.
21. Mikalef, P., Conboy, K., & Krogstie, J. (2021). Artificial intelligence as a service: The role of organizational capabilities in AI adoption. Information Systems Frontiers, 23, 1–17.
22. Queiroz, M. M., Wamba, S. F., de Bourmont, M., & Telles, R. (2021). Blockchain adoption in operations and supply chain management: Empirical evidence from an emerging economy. International Journal of Production Research, 59(19), 6100–6121.
23. Teece, D. J. (2022). Business models and dynamic capabilities. Long Range Planning, 55(1), 102117.
24. Helfat, C. E., & Peteraf, M. A. (2022). The dynamic resource-based view: Capability lifecycles and organizational resilience. Strategic Management Journal, 43(4), 683–702.
25. Bag, S., Gupta, S., Kumar, A., & Sivarajah, U. (2021). An integrated artificial intelligence framework for supply chain management and organizational resilience. International Journal of Production Research, 59(16), 4931–4950.
26. Dubey, R., Gunasekaran, A., Childe, S. J., Bryde, D. J., Giannakis, M., Foropon, C., Roubaud, D., & Hazen, B. T. (2021). Big data analytics and artificial intelligence pathway to operational performance under uncertainty. Annals of Operations Research, 298, 1–34.
27. Davuluri, P. S. L. (2023). AI-Augmented Sanctions Screening: Enhancing Accuracy and Latency in Real Time Compliance Systems. AI-Augmented Sanctions Screening: Enhancing Accuracy and Latency in Real Time Compliance Systems (December 15, 2023).
28. Ivanov, D., & Dolgui, A. (2021). A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0. Production Planning & Control, 32(9), 775–788.
29. Ivanov, D. (2021). Supply chain viability and the COVID-19 pandemic: A conceptual and formal generalisation of four major adaptation strategies. International Journal of Production Research, 59(12), 3535–3552.
30. Queiroz, M. M., Ivanov, D., Dolgui, A., & Wamba, S. F. (2022). Impacts of epidemic outbreaks on supply chains: Mapping a research agenda amid the COVID-19 pandemic through a structured literature review. Annals of Operations Research, 319, 115–145.
31. Alahakoon, D., Nawaratne, S., Xu, Y., De Silva, D., & Sivarajah, U. (2022). Self-building artificial intelligence and machine learning systems for industrial resilience. IEEE Transactions on Engineering Management, 69(6), 3737–3751.
32. Liu, Y., Lee, J. M., & Lee, C. (2022). The challenges and opportunities of artificial intelligence in enterprise risk management. International Journal of Information Management, 62, 102444.
33. Alotaibi, M., & Liu, H. (2023). Enterprise risk management and organizational resilience in digitally transformed organizations. Journal of Enterprise Information Management, 36(6), 1580–1601.
34. Lebcir, I., Shah, A., Nagubandi, A. R., Dhoke, S. M., & Mishra, M. K. (2025). FinTech and Financial Inclusion in Emerging Economies: An Empirical Assessment. Advances in Consumer Research, 2(6).
35. Olagunju, E. O., Oteri, O., & Edivri, J. (2025). An operational reliability and service assurance framework for enterprise IT systems supporting large user populations. International Journal of Advanced Multidisciplinary Research and Studies, 5(6), 2117–2128.
36. Oguru, M. F. (2025). The role of IT governance frameworks in enhancing organisational cyber-resilience. Asian Journal of Advanced Research and Reports, 19(10), 80–89.
Additional Files
Published
Data Availability Statement
None
