SecureAuth IdP provides advanced adaptive capability powered by machine learning with its Prevent package to track and analyze the login behavior patterns of authorized users. It tracks the login patterns for a period of time to identify normal patterns, then assigns each user a personal risk score. Since the login behavior pattern and risk score is unique to each user, it prevents bad actor attempts to impersonate authorized users trying to gain access to the targeted login site. For more information about user risk score calculations see Machine learning user risk score calculations.
For each level of user risk (High, Medium, and Low) you can define which action SecureAuth IdP is to take as described in Risk check actions.
To adjust the risk ranges, click edit and set the following:
Under User Risk Score Actions, for each risk range (High, Medium, Low, and Score Unavailable), specify the adaptive authentication action SecureAuth IdP takes when the user risk score falls within the specified range.
For more information about the actions to take, see risk check action definitions.
The Score Unavailable risk score can occur when the user is not found in the data source or does not have an assigned risk score in the data source.
If the SecureAuth IdP is unable to communicate with the data source, see the Knowledge base article Unable to Communicate with the User Risk Adaptive Authentication Data Provider for more information.