Citation:

Surendra Vitla, 2025. "Exploring AI’s Influence on Identity and Access Management: An Empirical Study", ESP Journal of Engineering & Technology Advancements  5(1): 101-105.

Abstract:

This paper explores the empirical impact of Artificial Intelligence (AI) on Identity and Access Management (IAM), with a focus on how AI and Machine Learning (ML) are revolutionizing the security sector. These technologies are increasingly seen as transformative opportunities by developers of IAM solutions, who recognize their potential to provide clients with more efficient and secure systems. AI-driven analytics offer deeper contextual insights and perspectives, facilitating time-efficient operations for both technical and non-technical personnel. These technological advancements streamline IAM compliance processes by automating procedures and significantly accelerating the detection of abnormalities and potential security threats. Importantly, AI can identify and mitigate risks without the need for a large security team, empowering both specialized and non-specialized staff to make informed decisions. This shift is particularly critical in areas such as anti-money laundering, fraud detection, and the defense against malicious cyberattacks. Furthermore, AI's role in IAM enables a transition from reactive to proactive or even corrective access management strategies, ensuring that organizations maintain constant control, enhanced security, and ongoing compliance.

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Keywords:

Artificial Intelligence (AI), Identity and Access Management (IAM), Machine Learning (ML), Security Automation, AI Analytics, Compliance Automation, Risk Detection, Fraud Detection, Proactive Access Management, Cybersecurity.