The growing number of users, devices, and apps connected to your network has made it increasingly difficult and time-consuming for organizations to proactively detect and remediate access risk. Historically, identity governance solutions assumed that the organization knew exactly what resources to protect and that they are proactively applying the required controls, which could result in insufficient coverage, particularly for cloud apps. In this session we will cover how analytics and machine learning can be used to automate the governance lifecycle management for both internal and external user access and ensure that users only have the access they need. Come learn how analytics can help you: •drive user productivity through automatically granting access to SaaS applications based on usage patterns •drive better recommendations and automation for reviewers who periodically review access •programmatically remove users who are no longer required