Improper Payments

Fraud Detection using Google Cloud

As Federal, State and Local government agencies manage huge case loads of claims for social services, fraud is on the rise. SpringML has a solution that can be quickly implemented with a few key data points to flag high probability/high propensity fraudulent claims.

Fraud Detection

Patterns of Fraud

Invalid IP Address

Invalid IP Address

Invalid Email Address

Invalid Email Address

Invalid Name

Invalid Name

Invalid SSN

Invalid SSN

Invalid Address

Invalid Address

Masking Information

Masking Information

Customer Stories

Public Sector

SpringML developed a machine learning model to detect fraudulent unemployment claims for a Department of Economic Security in the Southwest. We took data about individuals submitting a claim and checked for anomalies in the data and across the claim application to formulate a fraudulent “score”. In addition our solution provides a verification process to facilitate automation and reduce the amount of time to check claims.

Project Implementation Timeline

Infographic

Sample Deployment Architecture

Architecture

Thought Leadership

Public Sector

Public Sector

Check out our Public Sector Page to learn more about our expertise in providing solutions for Federal, State, and Local Government agencies.

Exposure-Notification

Exposure Notification

Check out our Exposure Notification Page to find out more about how we can help you build Exposure Notification apps.

Let's chat about your fraud detection project

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