Today’s IT environments have become so complex that it’s nearly impossible to gather, analyze and detect every relevant access-related risk factor. This lack of insight is leading to security risks, operational inefficiencies, loss of data and failure to comply with regulation. With millions of entitlements to manage across thousands of users and hundreds of applications, organizations are struggling to keep their access risks in check.
How can security professionals understand what users are really doing with their access privileges, and what risks they might be exposed to as a result? Identity analytics utilize big data, machine learning and artificial intelligence (AI) technologies to consume and analyze vast amounts of data and distill that data into actionable intelligence, allowing organizations to detect and respond to access risk more quickly.
Join IBM’s Identity experts to learn:
- How to obtain information about what users are really doing with their access privileges, and how to incorporate the right data sources for a holistic understanding of user activities
- How advanced analytics techniques can create a holistic view of the managed environment and provide a 360-degree view of access risks.
- The difference between identity analytics and user behaviour analytics
You’ll leave with a better understanding of your access risks and how to make sense of them.