What type of multifactor authentication (MFA) rule can be used for behavior sign-on detection?

The correct answer is the type of multifactor authentication (MFA) rule that involves device recognition for behavior sign-on detection. This method leverages information about the user’s device to assess risk and determine whether to allow or challenge an access request.

When using the device as an MFA rule, Okta can analyze various factors, including the familiarity of the device, its location, and user behavior patterns. If a user consistently logs in from a specific device and location, that access could be deemed trustworthy. However, if a login attempt occurs from an unfamiliar device or location, the system may trigger additional security measures, such as requiring an additional verification step, making it integral to ensuring safe user authentication.

This approach helps to enhance security by adding an extra layer of verification based on the context of the sign-in attempt, aligning well with behavioral analytics in the modern threat landscape. It directly addresses the need to detect anomalies in user behavior based on the devices they use to access services.

In contrast, using user credentials, CAPTCHA, or security questions are not focused on behavioral sign-on detection. User credentials simply validate the user’s identity, CAPTCHAs are intended to differentiate human users from bots, and security questions serve as another layer of identity verification but do