Abstract
As enterprises increasingly migrate to digital platforms, securing systems from unauthorized access becomes crucial to safeguarding sensitive data. Identity and Access Management (IAM) systems have traditionally been implemented to manage user access and authenticate identities. However, with growing threats of sophisticated cyber-attacks, traditional IAM methods are proving inadequate. Artificial Intelligence (AI) has emerged as a transformative force in enhancing IAM systems by providing adaptive, intelligent solutions to prevent unauthorized access. This paper explores the role of AI-enhanced IAM in modern enterprises, emphasizing its ability to predict, detect, and respond to potential security breaches. Through a detailed examination of current AI applications in IAM, this study demonstrates how AI-enabled tools can increase security resilience, reduce false positives, and automate responses to evolving threats, thus offering enterprises a proactive defense against unauthorized access.
Cite
CITATION STYLE
Sarker, M. T. H., Rahman, M. S., … Shakil, N. A. F. (2024). ARTIFICIAL INTELLIGENCE ENHANCED IDENTITY AND ACCESS MANAGEMENT PREVENTING UNAUTHORIZED ACCESS IN MODERN ENTERPRISES. International Journal of Management Information Systems and Data Science, 1(4), 80–95. https://doi.org/10.62304/ijmisds.v1i04.202
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