ANALYSIS ON THE ROLE OF ARTIFICIAL INTELLIGENCE AND IDENTITY AND ACCESS MANAGEMENT (IAM) IN CYBER SECURITY

Abstract

The major purpose of this article is to investigate how identity and access management systems are utilized in a variety of different sectors. When it comes to the protection of sensitive information, the IAM system often possesses a collection of functions that have been predetermined. In the context of identity and access management (IAM), authentication is an essential component since it can validate the identity of authorized service providers. With an eye toward IAM systems, this article aims to provide a summary of research on intelligent authentication. These research projects are evaluated using the essential criteria for intelligent authentication that have been suggested. The results of this investigation indicate that a fully functional authentication system cannot be created and implemented at this time. Users must have separate identities and permissions to access all applications, system software, database platforms, etc., to effectively manage today's complex IT environments. The investigation makes use of a mixed-methods approach, which combines qualitative and quantitative research approaches together. To understand the present and future of AI in IAM, we surveyed 582 cybersecurity experts and used multiple regression analysis to look at how different aspects affect system efficacy. Here we test four hypotheses: first, that the configuration of hardware and software affects system accuracy; second, that computational environments affect reliability; third, that demographic factors play a role in user acceptance; and fourth, that technological improvements affect system performance and acceptance. According to the results, there are strong relationships between these variables and AI's performance in IAM.