![]() Thus another term used to describe this type of authentication is risk-based authentication. The risk level is calculated based upon how these questions are answered and can be used to determine whether or not a user will be prompted for an additional authentication factor or whether or not they will even be allowed to log in. Is the connection via private network or a public network?.What kind of device is used? Is it the same one used yesterday?.When you are trying to access company information? During your normal hours or during "off hours"?.From where is the user when trying to access information?.Adaptive Authentication analyzes additional factors by considering context and behavior when authenticating and often uses these values to assign a level of risk associated with the login attempt. Adaptive Authentication or Risk-based AuthenticationĪnother subset of MFA is Adaptive Authentication also referred to as Risk-based Authentication. This information can be used to simply block a user’s access if their location information does not match what is specified on a whitelist or it might be used as an additional form of authentication in addition to other factors such as a password or OTP to confirm that user’s identity. ![]() Location-based MFA usually looks at a user’s IP address and, if possible, their geo location. As MFA integrates machine learning and artificial intelligence (AI), authentication methods become more sophisticated, including: Location-based ![]()
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