Multi-Factor Authentication (MFA)

Adaptive or risk-based MFA is an advanced security approach that dynamically adjusts authentication requirements based on the context and perceived risk of a login attempt. Unlike traditional MFA, which uniformly applies authentication steps, adaptive MFA uses contextual intelligence to determine the level of security required for each access request. This ensures both robust protection and frictionless user experience. 

Adaptive MFA Process:

1. Contextual Analysis: Adaptive MFA evaluates various parameters during a login attempt, which includes

• User Behavior: Deviations from usual login patterns—logging in at an unusual time or from a new device. 
• Location: Access attempts from unusual or high-risk geographical regions. 
• Device and Network: Identifies unrecognized devices or insecure networks

2. Risk Scoring: Each login attempt is assigned a risk score based on the contextual data. For instance, a familiar device on a corporate network may have a low score, while a login attempt from a new location on an untrusted device may have a high score.

3. Adaptive Response: Based on the risk score, the system determines the necessary authentication steps: 

• Low Risk: Grant access with minimal friction, such as using a single authentication factor. 
• Moderate Risk: Require additional verification, such as an OTP or push notification. 
• High Risk: Block access or escalate to stricter methods like biometric verification or administrator approval. 

Adaptive MFA is vital for organizations with diverse user bases, such as remote workers, global teams, and IoT integrations. Solutions like eMudhra’s SecurePass Adaptive MFA provide real-time risk assessment and dynamic responses, ensuring both security and usability. By balancing risk with user experience, adaptive MFA offers a tailored, proactive defense against evolving threats.