Intelligent fraud detection
for enterprise, government & DoD

FraudWorx combines big data lineage, terabyte-scale edge graphs, and high-speed query engines to deliver end-to-end fraud detection and prevention — including TMSIS systematic fraud patterns across health programs, financial systems, and federal disbursements.

FraudWorx Xplanation: Intelligence flow in five layers :

Layer 1 — Who logs in: Enterprise (payers, providers, SIU teams), Government (CMS, OIG, State Medicaid agencies), and Military/DoD (DFAS, DLA, TRICARE) all authenticate through the AIMLUX.ai portal with SSO, MFA, Zero Trust ICAM, and role-based access controls.

Layer 2 — FraudWorx platform: The unified interface where users submit natural-language search queries against T-MSIS data — no SQL or graph expertise required.

Layer 3 — The engine stack: ArcXA handles data lineage and SPO semantic mapping; KGNN runs graph neural reasoning across provider/beneficiary networks; RocketGraph's xGT engine executes terabyte-scale graph traversals at speed; ThreatWorx overlays Zero Trust scoring on every query and result.

Layer 4 — T-MSIS: The underlying CMS data asset — claims, eligibility, provider enrollment, managed care encounters, and drug utilization — all traversed as a unified knowledge graph.

Layer 5 — Intelligence output: Risk-ranked results delivered as provider billing anomaly alerts, multi-hop entity linkage maps (identifying shell company and kickback schemes), and per-claim fraud scores ready for investigator review or downstream case management.

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