User behaviour based biometrics: the new frontier.

Author:Wilk, Ryan
Position:DATABASE AND NETWORK INTELLIGENCE: OPINION
 
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Gone are the days when online security could be trusted to a simple username and password combination or simple identity checks. As fraudsters got better at bending and breaking the system, e-commerce and digital banking initiatives had to keep pace, creating tough rule-based systems to check for fraud and adding new technology like IP detection and Device ID. But even these measures are no longer enough. The next great leap in digital security isn't based on a device or a password, but on the user themselves.

User Behavioral Biometrics combines a biometric and behaviour-based analysis of the user. Until recently, security technology looked solely at what data was entered and what device was connected. But you can only understand so much about the user with only two pieces of information. And what if the user changes or upgrades their device?

You would lose half the visibility. User Behaviour Analytics (UBA) adds multiple layers of nuanced information of passively observed behaviour that goes beyond what data they input and what device they use and really understand how the user interacts with the mobile or web portal.

But how exactly do we define behaviour in this context? It's how the user interacts with the website in passive, yet very specific ways that are unique to every person--akin to a fingerprint. Information like typing speed and patterns, how they habitually navigate the website, patterns of online usage, or even how they hold their mobile device. These behaviours and hundreds of others, coupled with traditional passwords and connectivity details, offer multiple layers of information, and a more complete picture of the user.

When you start passively observing multiple layers of user behaviour and biometrics, from the moment they land on your site, create an account and across every interaction on the website, you build a profile for that user that doesn't rely on the device they use or password they enter. Every time they return to the environment, you can measure that behaviour against their unique historical data. You can finally answer, "Is this the real user?" with confidence. You can compare that behaviour with other good users to broaden your understanding of how your good users behave and you can even answer with the same certainty, "is this user behaving like a human being?" and "is this user acting safely" and take action accordingly in real-time.

User Behavioral Biometrics helps e-commerce businesses fight fraud by...

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