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With the data available from recent data breaches, all these details can match perfectly with the
genuine consumer yet still be fraudulent and/or spoofed. Additionally, once the order and
application form is completed, it initiates fraud decision-related resources via payment
authorizations and fraud and/or credit reviews.


The use of observable behavioral biometrics enables companies to continually evaluate users
accessing an account or application from the moment they begin interacting with an online
property. The amount of time it takes to log in, place an item in a cart or get to the application
page is all captured. Device information such as whether a mobile, PC or tablet is being used,
along with device identification information, browser language, screen size, location and
whether the IP or geo-location has been faked are all compared to an existing user profile. The
way a user interacts with a website is also analyzed, including the way a person types, how they
hold their mobile phone, etc. By absorbing all of these characteristics and aggregating the data,
behavioral biometrics create a unique profile for each user.

The way to spot a counterfeit is to become an expert at recognizing the real thing.

By passively identifying the good users, the anomalous or bad users become obvious in
comparison. This enables the program to easily highlight when a different person or bot is
attempting account takeover and also allows businesses to prevent bots and systems from
running scripts to access or create new accounts. The uniqueness of the data gathered and the
aggregation and application of all collected data creates a full 360-degree view of each user.



Fighting Fraud with Data

In a world of ill-gotten data, merchants and financial institutions must be more vigilant about
fraud than ever before – but not so strict that they create false positives and lose customers.
This can be a difficult line to walk, but they now have new tools to combat sophisticated
fraudsters – tools that can’t be outsmarted. Observable behavioral biometrics combined with
device data can ensure good users and stop bad ones throughout the entire customer lifecycle.



About the Author

Ryan Wilk, vice president of customer success, NuData Security













24 Cyber Warnings E-Magazine – June 2016 Edition
Copyright © Cyber Defense Magazine, All rights reserved worldwide

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