Published Paper Details:

The main purpose of this paper is to conduct an empirical analysis on how artificial intelligence impacts Identity and Access Management. Artificial Intelligence (AI) and Machine Language (ML) are having a significant effect on the security sector [1]. Developers of identity access management solutions consider these technologies as important opportunity that they should provide to their clients. Artificial intelligence analytics may offer greater perspective and contextual insights, allowing more time-efficient operations for technical and non-technical personnel. Technological advancements offer fresh insights and automated procedures, which dramatically accelerate current IAM compliance checks [2]. They are capable of detecting abnormalities and possible threats without the need for a big security personnel. This provides both specialized and non-specialized employees with the skills they need to take the necessary decisions. Such development is important, particularly in the field of anti-money laundering and fraud detection, as well as in countering malicious attacks. Additionally, it opens the door for the transition from reactive to preventive or even corrective access management. This means that companies are constantly controlled, safe and consistently compliant.