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Behavioral Biometrics: Dynamic Approach to Authentication and Security

Post by:
Prove
August 11, 2016
Behavioral Biometrics: Dynamic Approach to Authentication and Security

Two factors will play a significant role in the growth and development of behavioral biometrics as an advanced authentication and security gate: the biometrics market overall is expected to reach a value of $30 billion by 2021, and cybersecurity will become one of the hottest industries globally by 2020.

Biometric technology is gaining more and more popularity in the financial services industry worldwide. The technology is claimed to be the most convenient method as users don’t have to remember the numbers, codes, or passwords. Seeking to leverage the technology, a range of banks have started testing biometrics on limited audiences/particular markets. It may not take long till the industry makes biometric authentication mainstream and ditches passwords once and forever.

Static vs. dynamic biometrics

Not all biometrics and respectful methods of authentication are born equal. Static biometrics such as vein pattern, fingerprint, retina scan, and selfies are all nearly unchangeable from the point of view of software and hardware that remembers them for the next time a user tries to access a protected device.

Although relatively secure if we were to put passwords next to them, static biometrics may fade in the ability to ensure the proper security compared to dynamic solutions, which behavioral biometrics represent.

Behavioral biometrics are ahead of the game when it comes to understanding something that is difficult to copy individual behavioral patterns—hallmarks of the way one uses his/her devices and navigates on platforms.

Behavioral biometrics solutions are able to create a more precise picture of the user by examining a range of behavioral patterns, actively evaluating the user’s unique kinetic interaction signature with their mobile device, as one of the companies operating in the segment described.

Probably one of the most interesting and important hallmarks of behavioral biometrics is that when coupled with learning capabilities, they are able to continuously improve the accuracy, learn a wide variety of pattern elements of a particular user and everything in the background, dynamically improving the security layer. The longer solutions are able to monitor and enrich their database, the more secure protection they are able to provide and more accurately recognize the owner of the device.

Read the press release about Prove's recent acquisition of behavioral biometrics company UnifyID here.


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