Let’s talk about behavioral biometrics. This solution looks at the behavioral side to track how someone normally uses their device and then uses that as an identifier.

Where do you see behavioral biometrics coming into play and how are they part of digital identity assurance?

With pure biometrics, you’re looking at fingerprints, or facial or voice recognition — which of course impacts the customer journey. Users have to put their fingerprints on their device’s sensor or look at the screen, which can be strong authenticators in the same way as a username and password are, except people can’t steal your thumb or your face!

So biometrics are very effective for authenticating that the person is who they say they are, but they can be quite intrusive into users’ system journey.

Behavioral biometrics, on the other hand, is an extension of traditional digital intelligence because it’s an extra layer where you can transparently gather certain patterns associated with how users type or hold a device. With all the sensors in a modern mobile phone, why not use them as part of your digital intelligence analysis, from a risk point of view?

Behavioral biometrics help with validating that it’s the same user who may be using a new device or doing something slightly different. For example, if the signature and the way they interact with their device matches the signature that we’ve seen before, this is another indicator that it really is the digital identity that we’ve known before associated with you.