
Fraud investigations often end when the case closes, but the vulnerabilities remain.
Government benefit programs generate massive volumes of eligibility, payment, transaction, identity, case and investigative data. Traditional fraud solutions identify suspicious activity, but agencies struggle to connect investigations to the process, policy, data, and technology weaknesses that enabled the fraud. As a result, the same fraud patterns can reappear across programs such as SNAP, TANF, Medicaid, unemployment insurance, and other public benefits. Agencies need a repeatable way to convert fraud outcomes into enterprise intelligence, identify systemic exposure, govern mitigation, and verify that vulnerabilities have actually been addressed. e.
Compare closed cases and
findings to expose common control, process, policy, data, or
technology weaknesses.
Reconstruct how a transaction,
approval, eligibility decision, or other program action moved through
existing controls.
Convert validated
findings into governed Mitigation Requirements with owners,
evidence, verification criteria, and closure decisions.
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