Your organization’s legitimate users will login to your systems in predictable ways, but bad actors will stray from the norm. Understanding the difference between normal and anomalous behavior will help you make better authentication decisions.
By leveraging user and entity behavior analytics, your organization can use machine learning models to learn from past user behavior to calculate the risk associated with a user accessing resources. Depending on the level of risk, your organization can grant access, require step-up authentication or block the user from a resource.
Watch this video for an overview of Ping’s risk management capabilities to see how you can use them to make intelligent authentication decisions.
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