Automated Fraud Risk IIP (Investment & Improvement Plan)

Idea created by Paul Mcavoy Employee on Jul 29, 2019
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    The following idea is part of an RSA internal innovation contest. We are sharing these ideas to gather feedback from customers and help employees improve on their concepts.  Please share your reactions to this idea by Voting and/or Commenting below. There are 8 total ideas to review now through Aug 23. You can find additional ideas here.

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    Implementation of a Fraud Adaptive Authentication recommendation engine. This engine would monitor the state of a customer’s environment and raise suggestions to help prioritize AA configuration changes or future investment to reduce digital risks.


    Customers frequently struggle to effectively utilize the AA product and features. Therefore, they may face more threats and potential fraud losses.

    There are many causes of these struggles:

    • Lack of visibility into current threads and fraud patterns.
    • System mis-configuration or implementation issues.
    • Data source silo’s leading to poor visibility, intelligence and business context.


    A recommendation engine can provide improved guidance by utilizing several KPI’s and associated risk scores. This engine would leverage insights gathered from:

    • Overall AA implementation data sources
    • Product performance in terms of data losses
    • Customer performance in terms of fraud losses
    • Customer product engagement and feedback
    • Customer activity in the RSA anti-fraud community network (EFN, Link)