Multi-Factor Authentication (MFA)

Does eMudhra offer adaptive MFA based on user behavior?

eMudhra indeed provides an advanced form of Multi-Factor Authentication (MFA) known as adaptive MFA, which leverages behavior-based analytics to tailor security measures dynamically. This system goes beyond traditional static authentication methods by incorporating real-time risk assessment based on multiple variables such as the user's geographical location, the type of device being used, the time of login, and historical activity patterns.   

When eMudhra's adaptive MFA detects anomalies like access from new or unrecognized devices or unusual geographic locations, it automatically escalates the security protocol by requiring additional authentication steps. This could mean prompting for a one-time password (OTP), biometric verification, or another form of secondary authentication. Conversely, when the system recognizes a user's behavior as typical and low-risk—perhaps because they're accessing the system from a known office location during regular hours—the authentication might be simplified, reducing the number of steps for a smoother user experience.  

This adaptive approach not only enhances security by responding to potential threats in real-time but also improves user satisfaction by making the authentication process less intrusive when the risk is low. By continuously evaluating the context of each login attempt, eMudhra ensures that security measures are both robust and user-friendly, striking a balance that is vital for modern digital interactions where both security and usability are paramount.