How AI can Improve Identity Verification and Access Control Processes

Abstract

Artificial intelligence (AI) is recognized as the driving force responsible for reinventing a wide range of industries, among them IAM. This paper, therefore, looks for the potential for advancement in AI systems with respect to IAM, focusing on identity verification and access control within IAM systems. IAM systems face really difficult problems nowadays: management of user identity, real-time access control, and protection from modern threats. Traditional approaches have proven to be inefficient worldwide because of the static nature of the approaches and the lack of human intervention. In this way, this work provides a discussion on how these IAM challenges are to be effectively managed with the application of AI technologies. AI empowers strong tools of advanced data analytics, machine learning mechanisms, and automation. Equipped with all these capabilities, IAM systems can monitor user activity and behavior continuously, identify emerging anomalies in real time, and dynamically enforce policies to greatly enhance security and efficiency. Research
has shown that AI brings better results in terms of security and productivity and offers scalable solutions in light of current and future needs for identity management. AI integration can streamline the process of verification of identity, offer mechanisms of authentication that are enhanced, and deliver precise and dynamic access control methods. Meanwhile, resonant incorporation of AI in IAM definitively gives the systems the ability to learn and change and to learn firm protection along with operational resilience against threats that constantly change over time. In this light, IAM systems based on AI will be able to properly satisfy the growing demands of modern organizations in terms of proper security, optimum performance, and user satisfaction.