Unit21 Unified Fraud Decision Engine

This shows that Unit21’s core product is not a point solution for watching payments, but a reusable rules and workflow engine that can be applied anywhere a fintech needs to decide yes, no, or review. The same system that scores a transfer for fraud can also score a new account at signup, because both jobs use the same inputs, customer history, risk logic, and analyst workflow.

• Unit21 started with transaction monitoring, then added case management, then extended the underlying decision layer into onboarding. That sequence matters. Monitoring generated the rules engine first, case management handled what analysts do after an alert, and onboarding became a new entry point for the same risk logic.
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• In practice, this means a fintech can send Unit21 identity data, device signals, login behavior, application actions, and transaction history into one customer profile. Risk teams then set no code rules to block, approve, or escalate activity before signup, before payment, or after an alert, instead of buying separate tools for each step.
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• This also explains where Unit21 sits versus Alloy and Sardine. Alloy is strongest as an onboarding and orchestration layer tied to identity checks across the customer lifecycle. Sardine leans on device intelligence and behavioral signals. Unit21 positions itself as the downstream decisioning system where those signals get combined with transaction and user behavior data into one operational fraud workflow.
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The next step is a broader shared risk network layered onto that decision engine. Once onboarding, monitoring, and investigations run on the same system, consortium data and AI agents can make every customer touchpoint smarter, turning Unit21 from a workflow tool into the operating system that financial institutions use to spot bad actors before money moves.