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Department reports expanded fraud detection and collection efforts; automated tools boosted recoveries to nearly $8 million
Summary
Cheryl Stanton described measures to detect identity-theft fraud, cross-match jail records, use automated wage-record analysis and federal/state return intercepts; she said automated recovery increased collections from about $300,000 to nearly $8,000,000 over several years.
Director Cheryl Stanton told the committee the department has expanded fraud-detection and overpayment-recovery activities, including IP-address monitoring to detect large-scale identity-theft schemes, cross-matching with corrections and jails and automated wage-record analysis to identify newly employed claimants who owe money.
Stanton said the agency prevented almost $1,000,000 in identity-theft payments through monitoring and cross-state information sharing, and that automation increased recoveries dramatically — from roughly $300,000 when she arrived to nearly $8,000,000 in recent years. She described collection mechanisms including installment plans, involuntary wage withholding (statutory up to 25% of a paycheck) and federal/state tax-return intercepts, and said serious fraud cases are investigated with a full-time SLED agent and prosecuted when necessary.
Committee members asked about analytical red-flagging and the department said it uses vendor and internal analytics and works with federal inspector general offices and other states to share indicators and IP-address information.
