Leveraging AI for enhanced identity and access management in cloud-based systems to advance user authentication and access control

The rapid adoption of cloud computing has transformed modern businesses, enabling scalable, efficient, and flexible operations. However, it has also introduced new security challenges, particularly in identity and access management (IAM). The traditional IAM models are increasingly being replaced or enhanced by AI-driven approaches that promise improved authentication, authorization, and access control. This paper delves into the role of Artificial Intelligence (AI) in advancing IAM in cloud environments, exploring AI's potential to strengthen security, enhance user experience, and support regulatory compliance. With a comprehensive review of AI methodologies, case studies, challenges, and future directions, this study provides a roadmap for organizations seeking to harness AI for secure and efficient IAM in the cloud.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-30
DOI
https://doi.org/10.5281/zenodo.15195971
Primary Topic
Internet of Things and AI
Type
article
Field-Weighted Citation Impact
0.00
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article

Leveraging AI for enhanced identity and access management in cloud-based systems to advance user authentication and access control

Zenodo (CERN European Organization for Nuclear Research)
Internet of Things and AI
article

Leveraging AI for enhanced identity and access management in cloud-based systems to advance user authentication and access control

article en

Abstract

The rapid adoption of cloud computing has transformed modern businesses, enabling scalable, efficient, and flexible operations. However, it has also introduced new security challenges, particularly in identity and access management (IAM). The traditional IAM models are increasingly being replaced or enhanced by AI-driven approaches that promise improved authentication, authorization, and access control. This paper delves into the role of Artificial Intelligence (AI) in advancing IAM in cloud environments, exploring AI's potential to strengthen security, enhance user experience, and support regulatory compliance. With a comprehensive review of AI methodologies, case studies, challenges, and future directions, this study provides a roadmap for organizations seeking to harness AI for secure and efficient IAM in the cloud.

Zenodo (CERN European Organization for Nuclear Research)
University of North Carolina at Greensboro (US)
Openalex Percentile: Top 45%
Internet of Things and AI
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