AI-Driven Identity And Access Management In High-Risk Industries

Abstract

Identity and access management (IAM) has developed from an administrative role to a security foundation in the clouds, especially in the high-risk sectors. With the dissolution of organizational boundaries in distributed digital ecosystems, artificial intelligence has altered IAM evolutionary frameworks, which are rule-based, to dynamic and context-aware frameworks. Financial institutions, healthcare organizations, and e-commerce platforms have specific requirements and face unique challenges that require a special application of balancing security, compliance, and operational performance. The IAM powered by AI offers behavioral analytics, adaptive authentication, and persistence in monitoring capabilities to combat emerging threats at the same time with decreasing administrative load. On the basis of a review of theoretical grounds, industry-based strategies, technical issues, and implementation case studies, a clear image of both the transformative possibilities and realistic deliberations of intelligent identity governance becomes evident. Companies that adopt AI-enhanced IAM not only enhance their security stance but also make identity management a business driver and not a compliance cost in a rapidly expanding digital environment.