Abstract

With the growing adoption of cloud storage, ensuring data security and regulatory compliance has become a critical challenge for organizations. Identity and Access Management (IAM) plays a fundamental role in protecting cloud-based resources by providing authentication, authorization, and monitoring capabilities. This comprehensive guide explores the key principles, technologies, and best practices of IAM in cloud storage environments, addressing modern security threats and compliance requirements. The review outlines core IAM components, including Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC), and Multi-Factor Authentication (MFA), which enhance access security. Additionally, it discusses identity federation mechanisms such as OAuth, OpenID Connect, and SAML, which facilitate secure authentication across multiple cloud platforms. Given the increasing sophistication of cyber threats, we highlight the integration of Artificial Intelligence (AI) and Machine Learning (ML) into IAM systems for adaptive authentication, anomaly detection, and automated policy management. A comparative analysis of leading cloud IAM solutions from providers such as AWS, Microsoft Azure, and Google Cloud is presented, focusing on their security features and implementation strategies. Moreover, the review addresses compliance challenges, including GDPR, HIPAA, and ISO 27001, and offers best practices for maintaining IAM governance in multi-cloud environments. This emphasizes the importance of Zero Trust Architecture (ZTA), a security model that ensures continuous verification and least-privilege access to minimize risks. Future directions in IAM development, including blockchain-based identity management and AI-driven risk assessments, are also explored. By providing a structured approach to implementing IAM in cloud storage, this guide aims to help organizations strengthen security, mitigate unauthorized access risks, and enhance operational efficiency in cloud environments.