AI for Identity and Access Management (IAM) in the Cloud: Exploring the Potential of Artificial Intelligence to Improve User Authentication, Authorization, and Access Control within Cloud-Based Systems

19 Pages Posted: 13 Feb 2024

See all articles by Samuel Oladiipo Olabanji

Samuel Oladiipo Olabanji

Midcontinent Independent System Operator (MISO energy)

Oluwaseun Oladeji Olaniyi

University of the Cumberlands

Chinasa Susan Adigwe

University of the Cumberlands

Olalekan J. Okunleye

University of the Cumberlands

Tunboson Oyewale Oladoyinbo

University of Maryland University College (UMUC)

Date Written: January 25, 2024

Abstract

This comprehensive study explores the integration and effectiveness of Artificial Intelligence (AI) in Identity and Access Management (IAM) within cloud environments. It primarily focuses on how AI can enhance user authentication, authorization, and access control, addressing the challenges and possibilities in cloud computing. The study adopts a mixed-methods approach, employing both quantitative and qualitative analyses. A survey involving 582 cybersecurity experts provides insights into the current state and potential of AI in IAM, while multiple regression analysis examines the impact of various factors on system effectiveness. Four hypotheses are explored: the impact of hardware and software configurations on system accuracy (H1), the influence of computational environments on reliability (H2), the role of demographic factors in user acceptance (H3), and the effect of technological enhancements on system performance and acceptance (H4). Findings indicate significant correlations between these factors and the effectiveness of AI in IAM. Notably, hardware configurations and security concerns influence system accuracy; computational environment variations affect system reliability; demographic factors impact user acceptance; and enhancements such as user feedback, advancements in AI technology, continuous learning algorithms, and system transparency improve performance and acceptance. These insights underscore the need for advanced hardware, standardized software, user-centric design, and continuous improvement in AI technologies for effective IAM in cloud environments. The study provides actionable recommendations for cloud service providers and developers, emphasizing the importance of involving users in development processes, ensuring transparency, and adopting adaptive algorithms. Future research directions include longitudinal studies on the impact of technological advancements and exploring demographic-specific responses to AI-integrated IAM solutions.

Keywords: Artificial intelligence, identity and access management, cloud computing, biometric authentication, user acceptance, system reliability, technological enhancements, cybersecurity

Suggested Citation

Olabanji, Samuel Oladiipo and Olaniyi, Oluwaseun Oladeji and Adigwe, Chinasa Susan and Okunleye, Olalekan J. and Oladoyinbo, Tunboson Oyewale, AI for Identity and Access Management (IAM) in the Cloud: Exploring the Potential of Artificial Intelligence to Improve User Authentication, Authorization, and Access Control within Cloud-Based Systems (January 25, 2024). Available at SSRN: https://ssrn.com/abstract=4706726 or http://dx.doi.org/10.2139/ssrn.4706726

Samuel Oladiipo Olabanji

Midcontinent Independent System Operator (MISO energy)

Oluwaseun Oladeji Olaniyi (Contact Author)

University of the Cumberlands ( email )

6178 College Station Drive
Williamsburg, KY 40769
United States

HOME PAGE: http://www.ucumberlands.edu

Chinasa Susan Adigwe

University of the Cumberlands

Olalekan J. Okunleye

University of the Cumberlands

Tunboson Oyewale Oladoyinbo

University of Maryland University College (UMUC)

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
725
Abstract Views
1,792
Rank
69,986
PlumX Metrics