Shift to Adaptive Authentication

You must have heard the terms two-factor authentication and multi-factor authentication, used for improving security and protecting web logins and accounts from malicious attack and data breaches. However, organizations are seeking better solutions to ensure higher user-satisfaction rate along with stronger security for their assets. Adaptive authentication is an advanced and excellent methodology for authenticating users based on machine-learning and data analytics to deliver great user-experience in addition to reliable security.

What is Adaptive Authentication?

As briefed above, adaptive authentication is a machine-learning based security solution which is driven by certain parameters to benefit users with easy, engaging, simplified, and yet stronger security authentication.

Adaptive authentication is not a separate solution or application, rather it’s an integral part of 2FA or any other Multi-factor authentication solution. During adaptive authentication, different parameters and user-attributes are taken into consideration to identify the risk and the credibility of the login attempt. Positive results during adaptive authentication grant direct access to users without letting them undergo token based second-factor authentication. However, if the login attempt is found to be suspicious, based on multiple risk-identifying factors, then it is further subjected to second-factor authentication where the user needs to present hardware or software token, or discredited entirely.

What parameters are considered during adaptive authentication?

Given below are some of the most used parameters and user-attributes to authenticate the veracity of a user’s login. Based on the following factors, a user may be granted direct access or may be subjected to 2nd-factor authentication check.

  • User-Behaviour
  • Login Time
  • Device and other software/hardware resources being used for access
  • IP address of the login
  • Geographical location of user’s login

The attributes mentioned above, with the aid of machine learning tools and algorithms, are being used to evaluate and assess the credibility of the login attempt. Some more parameters and attributes may also be added to the list to ensure a stronger authentication check.

Why is Adaptive authentication getting popular?

The primary and maybe the single-most reason behind the hype of adaptive authentication is the ease of authentication, which the users are finding to be pretty useful and engaging. Although second-factor authentication has been proven to deliver stronger security, some users find the authentication procedure very tiresome and frustrating because of the second-factor authentication that takes place each time they try to log in.

Adaptive authentication is a very useful mechanism that lets genuine and authorized user gain direct access to their account without performing the 2nd-factor authentication unless the user tries to log in from some unusual location, IP address, using unconventional software, or hardware devices in odd timings.

Thus, Adaptive authentication, not only ensures productive machine learning based security check, but also increases and maintains user-interests and thereby delivers higher satisfaction rate.

At present, very few network security solution providers, e.g.  REVE Secure, are delivering adaptive authentication features with their 2FA or MFA solution to ensure a high level of security, but not at the cost of the user’s interest and experience.