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NuDetect

In today’s digital world, we understand preventing and stopping automated fraud. With increasing numbers of account takeovers, automated attacks, and new account fraud, our integration partnership with NuData Security, a Mastercard company, offers you the technology necessary to validate your real end users from fraudsters.

How does it work?

NuDetect is a behavioral analysis product that utilizes tracked end user behavioral data to determine fraudulent activity and assigning it a “score.” As an enterprise user, configuring your NuDetect settings gives you the ability to set and enforce a score threshold that will trigger a risk event on suspicious and fraudulent activity. For example, if an end user’s activity is given a score of 300 (red) and the institution has a score threshold of 225 (yellow), then the end user’s session can terminate, require extra authorization, or force to complete a captcha.

  • Settings
  • Nudetect
  • Score configuration

The numeric score returned by Mastercard NuDetect indicates the level of risk. Scores that are equal to or above the configured threshold triggers a risk event that is different depending on the location.

Login
A score equal to or above this number triggers the end user to complete 2FA (even if the end user previously checked Remember Me). While Mastercard recommends setting a score at or less than 200, we suggest you start with a score slightly higher based on your institution’s existing traffic.
Enrollment
A score equal to or above this number prevents the end user from proceeding to enroll. When recovery fails, the following 403 error displays to the end user: Oops! Something went wrong on our end. Please try again. While Mastercard recommends setting a score at or less than 500, we suggest you start with a score slightly higher based on your institution’s existing traffic.
Recovery
A score equal to or above this number prevents the end user from recovering an account. When recovery fails, the following 403 error displays to the end user: We couldn’t find that for you. Please check the information that you provided and try again. If you haven’t enrolled yet, try that instead. While Mastercard recommends setting a score at or less than 500, we suggest you start with a score slightly higher based on your institution’s existing traffic.
As you become more comfortable with the NuDetect platform, we recommend you eventually adjust scores closer to Mastercards’ recommendations. If you need additional assistance with score configuration, you can reach out to your implementation coordinator for more information.

Resources & training

In addition to utilizing NuDetect within Banno People, a separate dashboard through NuDetect displays detailed analytics surrounding end user interactions in your digital environments. This video demo will help train you on how to drill into events and their impacts, filter data, build rules using the configuration engine, and much more. You can also watch the video demo separated into the following sections:

FAQ


How does a blacklisted IP impact configured NuDetect scores?
After adding a blacklist IP, Mastercard adds an automatic 500 score on top of the configured score. For example, if you have a 200 score set at login, it will effectively be a 700 score if it’s blacklisted.