What is Adaptive Algorithm?
Adaptive multi-factor authentication is a mechanism that verifies user identity and authorization levels using the relevant data and a combination of factors, including user risk, location, device, and time of day, to decide which authentication factors to use for a specific user in a specific circumstance.
With the use of Adaptive Multi-Factor Authentication, we can manage the user’s login session while enhancing security. Risk-Based authentication/Combinational factor authentication are other names for adaptive multifactor authentication. But adaptive login multi-factor authentication aids in striking a balance between adding an extra layer of protection and offering a seamless user experience.
What is MFA?
Enterprises can protect access to their apps and systems by requiring two or more authentication factors with multi-factor authentication. In the struggle against identity theft and unlawful access to corporate resources, multi-factor authentication is a crucial and essential instrument.
While using MFA, users must enter two or more “factors” of authentication to access apps, networks, and resources. Users may find it difficult to utilize Multi-factor Authentication all the time, and it is not widely used.
How does both work together?
When you implement adaptive MFA within your organization, you determine the basic login requirement based on combinational factors like network, location, and device details. Unlike multifactor authentication, adaptive multifactor authentication is more dynamic and secure. Depending on the risk factors, the end-user will have access to the system or organizational resources.
MFA authentication will be triggered when the risk factor conditions raised to access resources. if the user’s login requirements are checked and no risks are identified. The multiple factor authentication process will be ignored for accessing the SAP application. Any suspicious user activity may involve requesting additional information from users and protecting the user’s anonymous login.
For example, if a user attempts to access applications via an unregistered device, the user may be prompted to save the device. If the user logs in from a geographic location other than his office, he may be asked to answer a security question.
Users who are detected and behave according to their established, normal pattern are asked for less information through adaptive authentication. If there are elements that point to a higher security risk, extra user validation will only be necessary. Users that utilize adaptive authentication experience fewer interruptions because they may get on with their daily tasks without needing to confirm their identity.
Adaptive Multi-Factor Authentication increases security by requiring additional authentication in circumstances of unusual behavior, such as several logins attempts from a new device.
When there are risks in a login session, such as the user connecting to a network different than the regular network, a new IP address being identified, the user’s location being suspicious, and a new device being identified, multi-factor authentication will be triggered. The risks are recalculated depending on the new information, taking into consideration each user’s ongoing behavior.