Role of Artificial Intelligence in Identity and Access Management

As digital transformation accelerates, Identity and Access Management (IAM) plays a crucial role in securing organizational resources from unauthorized access. Traditional IAM systems struggle to keep pace with increasing security threats and complexities. Artificial Intelligence (AI) has emerged as a transformative force in IAM, enhancing authentication, authorization, and anomaly detection. This paper explores the integration of AI in IAM, highlighting its ability to strengthen security by automating user authentication, detecting anomalies, and implementing adaptive access controls. AI-driven IAM solutions significantly reduce security breaches while improving user experience. This research further delves into various AI methodologies, including machine learning models, behavioral biometrics, and risk-based authentication, to understand how AI is shaping the future of IAM. Additionally, it discusses future directions in AI-driven IAM, including blockchain integration, explainable AI models, and quantum security.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-11
DOI
https://doi.org/10.5281/zenodo.15195212
Primary Topic
Melanoma and MAPK Pathways
Type
article
Field-Weighted Citation Impact
0.00
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article

Role of Artificial Intelligence in Identity and Access Management

Zenodo (CERN European Organization for Nuclear Research)
Melanoma and MAPK Pathways
article

Role of Artificial Intelligence in Identity and Access Management

article en

Abstract

As digital transformation accelerates, Identity and Access Management (IAM) plays a crucial role in securing organizational resources from unauthorized access. Traditional IAM systems struggle to keep pace with increasing security threats and complexities. Artificial Intelligence (AI) has emerged as a transformative force in IAM, enhancing authentication, authorization, and anomaly detection. This paper explores the integration of AI in IAM, highlighting its ability to strengthen security by automating user authentication, detecting anomalies, and implementing adaptive access controls. AI-driven IAM solutions significantly reduce security breaches while improving user experience. This research further delves into various AI methodologies, including machine learning models, behavioral biometrics, and risk-based authentication, to understand how AI is shaping the future of IAM. Additionally, it discusses future directions in AI-driven IAM, including blockchain integration, explainable AI models, and quantum security.

Zenodo (CERN European Organization for Nuclear Research)
G.S. Science, Arts And Commerce College (IN)
Peace, Justice and strong institutions
Openalex Percentile: Top 58%
Melanoma and MAPK Pathways
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