Fraud Occurs After KYC

This claim points to why Unit21 is built as a decisioning system, not just a verification tool. In fintech, KYC checks answer whether a person can open an account, but many losses happen later, when that approved user changes settings, adds a payout method, or sends money. Unit21 is designed to ingest identity, transaction, login, and account behavior data into one model so risk teams can stop suspicious actions before funds move.

• Unit21 describes its core job as watching the breadcrumbs before payment. That means combining onboarding data with signals like device data, user actions inside the app, and transaction context, then letting non technical risk teams build rules, analytics, and case workflows on top of that shared data model.
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• Alloy started from onboarding and identity decisioning. Its platform is strongest at orchestrating KYC, KYB, AML, and third party identity data into an approval decision at account opening, though it has expanded into ongoing monitoring and fraud tools. That makes the two products complementary in many deployments, with Alloy helping decide who gets in and Unit21 helping decide what approved users are allowed to do next.
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• The flexible data layer matters because fraud rarely fits one vendor category. A payout attack might involve a clean identity, a risky device, a new bank account, unusual transaction velocity, and links to past bad actors. A system with custom objects and fields lets a risk team model those relationships directly instead of squeezing them into a fixed KYC schema.
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The market is moving toward full lifecycle risk systems that start at onboarding but make the real money at ongoing monitoring, payment screening, and investigation. As real time payments grow and fraud shifts to account takeover, mule accounts, and first party abuse, the winning platform will be the one that can turn more raw product and transaction data into fast, explainable action.