Secure Data Migration Strategies on AWS Cloud

With the increase in cloud adoption in the worldwide market, data migration security is a key issue that many organizations are concerned about during the transition to on-premise infrastructure to the cloud infrastructure like the Amazon Web Services (AWS). The review will focus on the existing approaches, techniques, and solutions employed in the process of data security in the context of migration, such as encryption schemes, identity and access management (IAM), blockchain support and application, and AI-based anomaly detection. This paper identifies the weaknesses and strengths of the current methods by assessing their empirical outcomes, theory, and practical applications. The paper also offers a new layered model that can be used by practitioners and researchers in the process of end-to-end secure migration. The results indicate that, although AWS has powerful native resources, to secure data integrity, confidentiality, and regulatory compliance during the migration, multi-layered strategies need to be combined. Adaptive security, quantum-resistant cryptography, and autonomous policy-based data migration governance are the future research directions and the concluding part of the review.Besides, the paper indicates the necessity to align security operations with the evolving global compliance needs and operational realities such as hybrid cloud deployments and the issue of data sovereignty. It mentions that there is a necessity to automatize and introduce smart monitoring in order to achieve protection during and after migration. Performance and assurance can also be achieved through taking up proactive and adaptive security structures by the enterprises. Adaptive security, quantum-resistant cryptography, and autonomous policy-based data migration governance are the future research directions and the concluding part of the review.