Next Generation Digital Infrastructure Management Using GitOps and AI-Powered Analytics for Secure Financial and Public Services
DOI:
https://doi.org/10.15662/IJARCST.2025.0806021Keywords:
GitOps, AI-powered analytics, digital infrastructure management, financial services security, public services, automation, observability, compliance, cyber resilienceAbstract
The evolution of digital infrastructure management has been driven by the need for greater operational efficiency, security, and agility in mission-critical environments, especially in financial and public service sectors. This paper explores the integration of GitOps—an operational framework built on Git-based declarative configuration and automated delivery—with AI-powered analytics to create a next-generation infrastructure management paradigm. By leveraging Git as the single source of truth alongside continuous reconciliation engines and smart analytics, organizations can achieve robust automation, enhanced observability, and predictive insights. In financial and public services, where regulatory compliance and cybersecurity are paramount, this combined approach can significantly improve incident response, governance, and risk management. This study presents a comprehensive literature review, research methodology, implementation strategies, and evaluation of the advantages and disadvantages of this model. The findings indicate that GitOps, enriched with AI analytics, reduces error rates, accelerates deployment cycles, and strengthens security posture through anomaly detection and adaptive policy enforcement. The results and discussion underscore the practical implications and challenges of adopting this approach. Concluding remarks outline future research directions focused on standardization, explainable AI, and cross-domain applicability.
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