Revamping Authentication With Automation and ML

Gurucul CEO Saryu Nayyar on a Risk-Based Approach

 Automation and machine learning can be leveraged to make identity-driven authentication a smoother process, says Saryu Nayyar, co-founder and CEO at Gurucul, a behavioral analytics company.

“Seeing millions of consumers getting onboarded to a platform for authentication could be a painful process for customers if you make them do multifactor authentication,” she contends in an interview with Information Security Media Group.

Risk-based and behavior-based authentication provides a more practical approach, she argues. For example, “if a real-time risk score of a consumer was low, you could let them login without a password,” she notes. “This completely changes the consumer process because you are not letting security come in the way and you are letting security be visible only when it needs to be visible by using machine learning and AI.”

In this interview (see audio link below image), Nayyar also discusses:

  • Revamping authentication through automation and ML;
  • How machine learning helps in compliance;
  • Ways to fight synthetic identity fraud;

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Nayyar is co-founder and CEO at Gurucul. She has more than 15 years of experience in the information security; identity and access management; IT risk and compliance; and security risk management sectors.

Saryu Nayyar
CEO and founder, Gurucul

External Link: Revamping Authentication With Automation and ML

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