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This chapter explores the transformative potential of Generative Artificial Intelligence (GAI) in enhancing Identity Access Management (IAM) systems. This chapter examines how GAI models, such as Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs), can significantly improve identity verification, anomaly detection, and fraud prevention processes within organizations. By simulating user behaviors and detecting irregular access patterns, GAI allows IAM systems to respond dynamically to evolving security threats. The chapter also discusses the integration of GAI into traditional IAM frameworks to enhance security protocols, streamline administrative tasks, and maintain regulatory compliance. Case studies from various industries are presented, showcasing the practical applications and effectiveness of GAI in mitigating cybersecurity risks. This chapter provides a comprehensive analysis of GAI’s role in fortifying IAM systems, offering insights into its benefits, challenges, and future research directions.

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Implementing Generative AI in Identity Access Management

  • 章节

  • 发表日期：

    2025年

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  • Qendrim Hykaj,
  • Besart Prebreza,
  • Rrezart Prebreza,
  • Alban Krasniqi

摘要

This chapter explores the transformative potential of Generative Artificial Intelligence (GAI) in enhancing Identity Access Management (IAM) systems. This chapter examines how GAI models, such as Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs), can significantly improve identity verification, anomaly detection, and fraud prevention processes within organizations. By simulating user behaviors and detecting irregular access patterns, GAI allows IAM systems to respond dynamically to evolving security threats. The chapter also discusses the integration of GAI into traditional IAM frameworks to enhance security protocols, streamline administrative tasks, and maintain regulatory compliance. Case studies from various industries are presented, showcasing the practical applications and effectiveness of GAI in mitigating cybersecurity risks. This chapter provides a comprehensive analysis of GAI’s role in fortifying IAM systems, offering insights into its benefits, challenges, and future research directions.