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@article{184205,
        author = {Divyesh Pradeep Shah},
        title = {Secure Cloud Compliance: Aligning AWS Architectures with GDPR, HIPAA, and PCI-DSS - A Predictive Model for Real-Time Compliance Management},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {4},
        pages = {1180-1188},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=184205},
        abstract = {This paper presents a novel approach to cloud compliance by aligning AWS architectures with major regulatory frameworks, specifically GDPR, HIPAA, and PCI-DSS. Traditional compliance models have often been reactive, relying on periodic audits and manual interventions. However, with the increasing complexity of cloud environments and regulatory standards, a proactive, predictive approach is necessary. The proposed model integrates machine learning and predictive analytics to enable real-time compliance monitoring, reducing manual efforts and enhancing the security posture of organizations. By leveraging cloud-native and third-party tools, this model offers a unified solution to meet multiple compliance standards simultaneously, ensuring organizations maintain compliance across different regulatory domains. This paper also provides a comparative analysis of the predictive performance of the proposed model against existing compliance frameworks, demonstrating its efficacy in mitigating risks and preventing non-compliance issues before they occur. The findings are highly relevant for cloud security practitioners, policymakers, and organizations striving for continuous compliance in an ever-evolving technological landscape. Future research directions include integrating additional regulations, utilizing advanced machine learning techniques, and evaluating the model’s performance in hybrid and multi-cloud environments.},
        keywords = {Secure cloud compliance, AWS architectures, GDPR, HIPAA, PCI-DSS, predictive analytics, machine learning, real-time monitoring, regulatory compliance, cloud security, compliance frameworks.},
        month = {September},
        }