Paper Details

With organizations increasingly adopting multi-cloud strategies, Identity and Access Management (IAM) governance has become essential for security, compliance, and operational efficiency. Managing identities across multiple cloud platforms introduces challenges such as inconsistent security policies, identity sprawl, and increased cyber risks. This research explores the importance of IAM in multi-cloud environments, highlighting the risks of operating without a robust IAM framework, including unauthorized access and regulatory non-compliance. A literature review of existing IAM frameworks is conducted, comparing traditional and cloud- native approaches. The study proposes an enhanced IAM governance model that incorporates centralized identity management, AI-driven security, and adaptive access controls to mitigate risks and streamline authentication processes. Through case studies, the research analyzes successful IAM implementations and the impact of automation in reducing security vulnerabilities. It also examines emerging trends such as blockchain-based IAM and password less authentication, offering insights into the future of identity security. The findings emphasize that organizations must adopt AI-enhanced IAM strategies to strengthen security, ensure compliance, and improve governance in multi-cloud environments.

IAM, Multi-Cloud, Cyber security, Compliance, Zero Trust, Blockchain, AI-driven Security, Identity Management, Access Control, Automation