This article explains the functionality of the Behavior Detection Rule: Evaluate against the Past Number of Authentications.
- Behavior Detection
The "Evaluate against past number of authentications" behavior detection rule in Okta assesses a user's recent authentications to identify unusual or suspicious activity. This rule compares the current authentication request with a specified number of previous authentications (for example, past 20 authentications) to determine if there are any changes or anomalies in the user's behavior that may indicate a compromise. Factors such as location, device, and IP are used to determine if the authentication is consistent with the user's normal behavior. If an abnormal pattern is detected, the rule can trigger additional security measures, such as multi-factor authentication or account lockouts, to protect the user's account. This helps to prevent unauthorized access and increase the security of the user's Okta account.
