Session Abstract: Is your identity data haunting your dreams? Losing sleep over the sheer number of orphaned accounts, or the magnitude of over-permissioned users? Working into the night manually clicking off user access reviews, or fearful of past employees who still remember their passwords?
If so, you may need a nap, but this session will give you lasting relief.
We will present an actionable framework for improving data quality at an identity and entitlement level. By highlighting common issues with identity data management (coarse level group assignments, bulk-approval access reviews, role mining, risk scoring pitfalls, etc.) we will present a layered approach to deploy prescriptive and predictive identity analytics.
Attendees will understand how bad data leads to bad policy enforcement and bad security outcomes. We will build a layered approach coupled with best practices to successfully deploy analytics to mitigate access related risks and improve access management operational efficiency. With data visualization and effective risk scoring, we will also explore how to make data accessible to the business user from day one.