Designing Scalable and Secure Digital Systems Enabled by DevOps and AI-Driven Security under Cloud Governance

Jassim Saif Abdullah

doi:10.15662/IJRAI.2025.0806025

Authors

Jassim Saif Abdullah Independent Researcher, Ajman, UAE Author

DOI:

https://doi.org/10.15662/IJRAI.2025.0806025

Keywords:

DevOps, AI Driven Security, Cloud Governance, Scalable Systems, Secure Architecture, Continuous Delivery, Cloud Compliance

Abstract

In an era where digital transformation accelerates business innovation, designing scalable and secure digital systems has become a strategic imperative. Modern enterprises require architectures that support rapid deployment, robust security, and governance across distributed cloud environments. DevOps, with its focus on automation and collaboration, enables continuous delivery and rapid iteration, but without integrated security and governance, systems remain vulnerable and non‑compliant. AI‑driven security augments traditional defensive measures through analytics, anomaly detection, and adaptive response capabilities, helping to identify emerging threats in real time. Meanwhile, cloud governance frameworks ensure that resources are managed, monitored, and controlled according to organizational policies, regulatory requirements, and cost constraints. This paper explores the intersection of DevOps practices, AI‑enhanced security mechanisms, and cloud governance models as a unified approach to designing digital systems that are both scalable and secure. Drawing on literature synthesis, case studies, and architectural modeling, we demonstrate how this integrated paradigm improves operational resilience, reduces security risks, and aligns IT delivery with compliance mandates. Our findings highlight practical challenges, benefits, and a roadmap for adopting this convergence in enterprise environments.

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