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  • Home
  • Core Services
    • AI-Driven Analytics
    • Agile Acquisition
    • Cloud Services & Sec SAAS
    • AWS Cloud Capabilities
    • IT Modernization
    • Cybersecurity Engineering
    • Baseline.ai
  • Our Clients
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  • Resources
    • Contracts
    • Capability Statements
  • About
    • About J3
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Baseline.ai on AWS: Turning Fraud Intelligence into Systemic Prevention

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.

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Identify recurring vulnerabilities

Compare closed cases and

findings to expose common control, process, policy, data, or

technology weaknesses.

Trace cause and exposure

Reconstruct how a transaction,

approval, eligibility decision, or other program action moved through

existing controls.

Establish accountable corrective action

Convert validated

findings into governed Mitigation Requirements with owners,

evidence, verification criteria, and closure decisions.

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