AI-Powered Identity and Access Management: Enhancing Authentication in a Digital World
DOI:
https://doi.org/10.15662/IJARCST.2025.0805021Keywords:
AI, Identity and Access Management, anomaly detection, unauthorized access preventionAbstract
In the modern world of high digitalization, gaining control over restricted systems is of great importance to organizations. The article discusses how the concept of Artificial Intelligence (AI) can be integrated into Identity and Access Management (IAM) systems to increase security measures. The paper assesses the efficacy of AI-based innovations in detecting anomalies and averting unauthorized access, including machine learning and behavioral analytics. It explains how AI efficiently simplifies authentication activities in both cloud and enterprise settings, providing scalability and flexibility. The methodology will involve examining actual applications of AI-mediated IAM systems and evaluating their efficiency based on key variables like detection accuracy and response time. The results demonstrate that AI can be used extensively to improve security practices and ensure that abnormal patterns of behavior are detected and mitigated as quickly as possible. Implications for organizations implementing AI in IAM systems include better threat detection systems, fewer false positives, and a stronger security infrastructure. Finally, this paper documents the innovation that AI can bring to IAM systems modernization.
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