TypingDNA releases MFA solution based on typing biometrics

TypingDNA announced an innovative MFA solution that combines proprietary typing biometrics technology, SMS OTP or Email OTP.

TypingDNA is a leading behavioral biometrics company that protects online users based on how they type on their keyboards. The company develops typing biometrics technology to authenticate users in a frictionless way while offering frontline security to millions of users worldwide.

TypingDNA MFA solution is using a combination of typing biometrics, SMS OTP, or email OTP to authenticate users. Highly customizable and versatile, the multi-factor authentication solution helps companies benefit from the typing biometrics technology without any friction to the user experience.

Online frauds are on the rise and businesses across the world lose $4.1 trillion each year. TypingDNA MFA offers frontline security and fraud prevention as well as regulations requirements compliance for 2-factor authentication (2FA).

Opting for typing biometrics with other authentication factors, companies can passively authenticate users without the need for additional hardware and with extremely low implementation time.

The solution works on-cloud or on-premise and can be deployed in a variety of use cases such as authenticating customers in digital channels and employees in their SSO and IAM systems. TypingDNA’s behavioral biometrics technology is currently used in industries such as Banking, Financial Services, and Insurance as well as online identity verification for online learning organizations.

“After listening to our customers around the world, we have chosen to simplify the authentication process designing an all in one product capable of complementing companies’ authentication needs reducing identity fraud while improving user experience. This unique MFA solution is fully customizable and easy to scale so small businesses, and large corporations can equally benefit from it,” said Raul Popa, CEO, and co-founder of TypingDNA. “Our frontline computer scientists continuously better our proprietary AI algorithms keeping in mind the risk of data theft and sensitive corporate information,” added Popa.

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