SpringML's Fraud Detection Solution
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.
Patterns of Fraud
Invalid IP Address
Invalid Email Address
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.