Role mining is a technique used to analyze how access is used across systems in order to detect patterns, eliminate unnecessary permissions, and enforce the principle of least privilege at scale. It helps security teams regain control, reduce risk, and stay ahead of evolving compliance demands. Role mining can reveal how people use access across systems and define roles that match real-world job functions, enabling organizations to streamline access management, reduce risk, and support the principle of least privilege. The future of role mining is being shaped by the rapid adoption of artificial intelligence (AI) and machine learning (ML), which are helping organizations automate the detection of over-permissioned users and recommend role adjustments based on evolving business needs and real-time data. AI-driven tools can identify redundant permissions, eliminate unnecessary access, and ensure that the principle of least privilege is always maintained. By leveraging real-time data and automation, platforms like Veza ensure that role mining remains dynamic, helping organizations optimize their access governance while maintaining compliance and security. Role mining offers organizations measurable improvements in their identity security posture, including enhanced security, improved efficiency, regulatory compliance, cost savings, and continuous visibility. The future of identity security is moving toward more adaptive and intelligent governance models that evolve in real-time, requiring solutions that go beyond static policy enforcement, incorporating behavioural context, near real-time access verification, and AI-driven insights. Organizations are now looking for identity security frameworks that can respond in real-time to emerging threats and evolving business needs, integrating zero-trust principles and contextual access management to provide more granular control over who can access what, when, and why.