CEO and Co-Founder Clarity Security, United States
sponsored by Clarity Security
Identity Governance was relegated to check-box status long ago, but how can we restore it and all of GRC to its rightful place as a crucial driver of risk management? The answer is Machine Learning (ML). ML is changing the way we view complex problems, and it’s time we begin exploring its potential applications throughout GRC. Learn how a Risk Powered Governance framework takes a risk-centered approach to Identity Governance and Access Management.
Learning Objectives:
Describe the fundamentals of risk management through the lens of Identity and Identity Governance. and the most common reasons GRC and Identity Governance has been relegated to check box status.
Leverage machine learning to reshape the way we identify, control, and communicate risk.
Implement ways to reframe how we evaluate the success of GRC and Identity Governance programs, specifically the KPIs we should be using to determine the efficacy of UARs and SOD reviews and methods for determining the level of executive and business buy into GRC / IGA / Security.
