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Thomson Reuters
ID Risk Analytics
Quickly distribute payments to your community while reducing risk to your program
Enable your team to protect your public benefits program from the risk associated with potentially fraudulent and improper payments with Thomson Reuters ID Risk Analytics. Combining your agency data with identity verification and deep human analytical review provides an unmatched ability to detect, prevent, and investigate fraud within your program.
What you get with ID Risk Analytics
The Thomson Reuters SIU team will analyze your inputs and provide detailed analysis
Potential fraud risk will be categorized on severity levels to assist in paying claimants faster
Access analytics in weeks, not months or years to reduce risk to your benefits program
Gain clarity on which claims can proceed and which require investigation
Within weeks receive a report from our Special Investigations Unit (SIU) which categorizes potential fraud risk into high, medium, and low categories. This report includes more than 40 behavioral analytic algorithms with risk scoring and verified identity data.
Prioritize investigations with fewer results and more focused, credible leads
Focus your efforts by knowing which claimant files possess the most risk with red/yellow/green categorization. The green category is just as important as the red. Green, low-risk beneficiaries represent no indication of fraudulent activity. Red, high-risk beneficiaries are prioritized to focus your team's investigative efforts.
Leverage documentation to request additional resources, funding, and policy changes
ID Risk Analytics shows which records fall within each risk category and the total benefits paid to high, medium, and low-risk claimants. The results are easy to understand and distill a narrative outlining the needs of your agency and potential risks to benefits programs.
Related insights
Discover a more streamlined approach to reducing risk in your agency
Thomson Reuters is not a consumer reporting agency and none of its services or the data contained therein constitute a ‘consumer report’ as such term is defined in the Federal Fair Credit Reporting Act (FCRA), 15 U.S.C. sec. 1681 et seq. The data provided to you may not be used as a factor in consumer debt collection decisioning, establishing a consumer’s eligibility for credit, insurance, employment, government benefits, or housing, or for any other purpose authorized under the FCRA. By accessing one of our services, you agree not to use the service or data for any purpose authorized under the FCRA or in relation to taking an adverse action relating to a consumer application.