Payment Redirect Fraud (PRF) Model
Description
The goal of the Payment Redirect Fraud (PRF) model is to identify which Direct Deposit (DD) changes are likely to be fraudulent and refer them on to investigators.
Detailed example
The output is a risk indicator on how likely each daily direct deposit change may be fraudulent.
AI / analytics pattern
Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relationships.
Automation level / stage
c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
Expected benefit
Preventing Veterans from having their benefits stolen by fraudsters builds their trust in the VA. The accurate delivery of benefits without interruption creates operational efficiencies and demonstrates fiscal stewardship and prudent use of tax-payer dollars.
Controls / human review
ATO: Not reported; PIA: Not published