Citation:

Ilakiya Ulaganathan, 2025. "Advanced IAM Strategies for Securing Sensitive Data and Applications in Complex Organizations", ESP Journal of Engineering & Technology Advancements  5(3): 158-167.

Abstract:

With distributed computing, hybrid cloud adoption, and global workforce trends, managing digital identities and accessing sensitive data has taken a central stage for complex organizations. IAM goes beyond traditional role assignment and is now a dynamic security framework that incorporates Zero Trust principles, risk-based authentication, and AI-based automation. The review looks at modern advanced IAM techniques and their importance for cyber risk avoidance, posture for compliance, and protection of sensitive data and applications. Challenges encountered by large enterprises in implementing IAM across hybrid infrastructures, federated environments, and diverse sets of users are discussed. Hari further discusses advanced streams such as PAM, IGA, adaptive authentication, and machine learning-based IAM tools. Through comparative analyses and a study of trends, insight is provided on ways in which organizations can form IAM systems that can stand up to changing threats and compliance requirements. This research also narrows the field for future research directions such as decentralized identity models, behavior-driven access control, and the merging of IAM with DevSecOps methodologies.

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Keywords:

Identity and Access Management (IAM), Zero Trust, Privileged Access Management (PAM), Adaptive Authentication, Multi-Cloud Security, Identity Federation, IAM Automation.