AI-Powered Access Governance: Automating Risk-Based Identity in Enterprise Cloud

Abstract

Identity management stands at the forefront of modern cybersecurity challenges, particularly as organizations navigate increasingly complex cloud environments. This article explores the implementation of artificial intelligence and machine learning technologies to revolutionize access governance in enterprise cloud settings, with a specific focus on telecommunications domains. The article examines how advanced analytics can transform traditional identity management approaches through behavioral analysis, automated provisioning, and dynamic access controls. By investigating the integration capabilities with major Cloud Infrastructure Entitlement Management platforms, this article demonstrates how AI-driven solutions can enhance security posture while maintaining operational efficiency. The article reveals significant improvements in threat detection, compliance management, and privilege abuse prevention through the implementation of zero-standing privilege models and automated remediation workflows.