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@article{193673,
        author = {Rahul Modi},
        title = {Trustworthy Autonomous Cloud Operations: Self-Healing Azure Architecture Powered by Agentic AI},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {10},
        pages = {1105-1121},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=193673},
        abstract = {The paper is an investigation of how agentic artificial intelligence can be used to provide reliable autonomous cloud platforms by using a self-healing architecture on Microsoft Azure. The study aims at enhancing reliability, security and operational resilience within an enterprise cloud setup. AI-based agentic systems can track the infrastructure, issue alerts, identify underlying causes, and take corrective measures without involving human operators. These features minimize downtime, enhance service continuity, and stability of the system in complicated distributed settings.
The suggested architecture presents a stratified Azure architecture that comprises autonomous agents, observability pipelines, policy-directed remediation modules, and governance controls. The framework focuses on transparency, explainability and trustworthiness, including the audit trails, decision validation systems, and compliance implementation policies. System performance is assessed by the methodology with the help of simulated fault scenarios and key performance indicators, such as mean time to recovery, system availability, fitness of fault detection, and effectiveness in security compliance.
Experimental findings show that agentic AI can save much more time than traditional manual or semi-automated tools, find faults faster, and increase the operational reliability. The independent remediation features allow responding to failures more quickly and at the same time secure and enforce compliance to policies. Besides, constant monitoring and reactive decision-making enhance the resilience of the system in general.
The paper concludes that agentic AI is an effective base on which trustful, independent and self-healing cloud systems can be built. Nevertheless, good governance, moral protection and elicitability measures are critical to adopt it safely. The study brings an authenticated architectural framework and an execution plan of enterprise-tier autonomous cloud functions that can support scalable, secure, and resilient digital transformation in the present-day and future intelligent infrastructure landscape of worldwide enterprises and the world at large today and tomorrow.},
        keywords = {Agentic AI, Autonomous Cloud Operations, Autonomous Remediation, Cloud Reliability Engineering, Microsoft Azure, Self-Healing Infrastructure,  Trustworthy AI Systems.},
        month = {March},
        }