In the technologically advanced world, we have the responsibility to safeguard our digital identities observed Bahaa Abdul Hadi. Also, we should be careful with our sensitive information. MFA or multifactor authentication has evolved as a sturdy solution to improve security. It works by asking for multiple forms of identification.

How is AI Used in MFA?

You can use AI in MFA in many different ways. One of the most popular techniques is the use of AI to spot user behavior. This authentication is used in combination with other techniques. An excellent example is requiring a user to provide a code sent to his/her mobile phone.

To Spot Patterns in User Behavior

Another way that you can use artificial intelligence for MFA is to spot patterns in the behavior of users. After gathering information, you can then use it for flagging suspicious activity. As a result, it is possible to prevent unauthorized access. AI can help with watching out devices for tampering signs. In turn, you can prevent unauthorized access to devices.

Indeed, AI has been used in MFA recently. Nevertheless, it is quickly turning out to be a popular choice to authenticate. This is due to its ability to verify the identity of a user by evaluating their behaviors. This authentication is also used in combination with other techniques like requiring a user to use a code delivered to his/her smartphone.

Challenges in AI and MFA Integration

In 2023, many businesses started to use MFA for their organizational applications like Azure Virtual Desktop. However, they can face some challenges in the MFA and AI integration. These challenges can differ from one business and another. However, some hurdles are common. So, every business should be aware of these hurdles:

  • User Adoption
  • Lack of trust among employees
  • Cost and time constraints
  • Technical complexity
  • Legacy application system challenges
  • Inadequate familiarity and expertise of network teams
  • Cyberattack possibility to SMS-based protocols
  • Additional adjustments and expenses

How To Address MFA Challenges?

When it comes to intersecting MFA and AI, many challenges like those mentioned above arise. However, here are a few things to do to reduce the challenges:

  • Educating users
  • Planning requirements
  • Reviewing MFA Solutions
  • Spotting high-priority assets
  • Using conditional access
  • Monitoring performance
  • Understanding legislative needs

When you use AI and MFA together, you can achieve great benefits. However, you should handle the challenges that come your way with care. The article is written by Bahaa Abdul Hadi and has been published by the editorial board of Identity Herald. For more information, please visit www.identityherald.com.