Deep Labs Featured in Biometric Update on Behavioral Biometrics and Persona-Based Security Intelligence

A number of companies on the market today are exploring behavioral-based security, which relies on an individual’s unique behavior patterns such as the way a person types, how hard the buttons are pressed, how quickly a person holds a device for secure and more accurate authentication. They argue it is superior to the already popular authentication methods that leverage biometric facial or fingerprint recognition, because behavioral-based security performs continuous authentication by analyzing real-time interaction with a device.

Deep Labs, a Silicon Valley-based startup founded in 2016, develops artificial intelligence security tools for banks and credit card companies. The company uses artificial intelligence and machine learning to leverage the power of behavioral biometrics to develop the concept of persona-based intelligence. According to its CEO and co-founder, Dr. Scott Edington, behavior-based security has reached a higher level of sophistication, because it would be nearly impossible for fraudsters to fake how a person types their password or holds their phone. If a user’s phone is used even in a slightly different way, the action is immediately flagged.

Read the full interview here.

Deep Labs Featured in Digital Journal on Persona-Based Intelligence™ and Behavior-Based Security

How someone holds their phone is becoming a criteria for securing their identity from hackers. If you usually hold it with your right hand, and a left-handed hacker is trying to gain access to your phone, they can be stopped because of that difference.

According to the CEO of Deep Labs, Scott Edington, such activities are becoming part of a vastly improved behavioral-based security approach that is taking ID verification to new levels. Behavior-based security is starting to look much more at how users hold their phones, how hard they press the buttons, and how quickly they might type.

Digital Journal spoke with Scott Edington about how artificial intelligence and machine learning can help to create user ‘personas’, that red flag if your phone is being used even slightly differently than how you use it.

Read the full interview here.