Synthetic ID
Fraud Detection

Stop onboarding fraud using fake or constructed identities.

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Why It Matters

Stop Synthetic IDs Before They Become Your Biggest Risk

Synthetic ID fraud is one of the fastest-growing threats in financial crime.These are not stolen identities — they’re carefully constructed personas, combining real (e.g., SSN, address) and fake details to pass onboarding.

They often look clean, but evolve into mule accounts, credit abuse vectors, or money laundering nodes.RaptorX reveals them early — before they infect your ecosystem.

What Makes Card & Wallet

Fraud Hard to Catch

Real Identifiers

Real Identifiers

Use of real but unlinked identifiers (SSN + fake name)

Clean Start

Clean Start

No immediate fraud after onboarding — behavior starts clean

KYC Gaps

KYC Gaps

KYC systems only check document validity, not behavioral patterns

Passing Checks

Passing Checks

Synthetic users often pass facial recognition and OTP checks

Burst Onboarding

Burst Onboarding

Onboard in bursts, often tied to stolen or fabricated identity kits

RaptorX Detects

Synthetic ID Networks Early

Spot Synthetic Identity Risk From Shared Data to Burst Onboarding in Real Time

Identity graphing links reused SSNs, addresses, and phones across multiple accounts.

Mismatch scoring exposes inconsistencies between documents, metadata, and user behavior.

Burst patterns reveal clusters of accounts opened with similar devices and input rhythms.

How RaptorX Neutralizes

Synthetic ID Fraud

Advanced identity graph modeling

Builds linkages across partial identifiers and reveals synthetic clusters.

Anomaly scoring without labeled fraud data

No need to know a fraud case in advance — we flag pattern-level deviation.

Integrated FinCEN / FIU typology mapping

Connects detection to known AML and synthetic abuse typologies automatically.

Onboarding-to-transaction escalation bridge

Flags synthetic IDs at sign-up, then watches transaction risk in real time.

Why RaptorX Is Chosen for

First-Line Identity Defense

Stop Synthetic Identity Fraud Without Heavy KYC or Complex Integrations

Catches synthetic personas before they behave like fraud

Works with fragmented or minimal KYC input — no full stack dependency

Seamless integration with AML, onboarding, and risk teams

Explainable detection — helps your analysts trace the synthetic logic

Ready to stop constructed identities before they scale?

See how RaptorX reveals synthetic ID rings before the first transaction.