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@article{184789,
        author = {Kumaresan Durvas Jayaraman},
        title = {AI Governance in Cloud-Native Systems Embedding Policy-Driven Controls in Enterprise Platforms},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {4},
        pages = {4579-4586},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=184789},
        abstract = {As organizations adopt AI at scale within cloud-native enterprise platforms, the urgency for robust governance mechanisms has intensified. This review examines the intersection of AI governance, cloud-native architecture, and policy-driven controls. Through a conceptual framework and experimental validation, it highlights how integrating policy-as-code, observability, and compliance automation can ensure trust, accountability, and transparency in AI systems. The review also identifies key gaps in current practices, including limited interoperability, challenges in policy enforcement, and a lack of adaptive compliance models. Drawing from technical case studies and empirical findings, it proposes a layered governance model aligned with legal, ethical, and operational needs. This paper offers a path forward for researchers and practitioners seeking to embed governance directly into the design and operation of intelligent cloud-native systems.},
        keywords = {AI Governance; Cloud-Native Architecture; Policy-as-Code; Compliance Automation; Kubernetes; Enterprise Platforms; Trustworthy AI; DevSecOps; Open Policy Agent (OPA); Ethical AI},
        month = {October},
        }