Sigma First-Party Fraud
Detect repeat bad actors, chargebacks, and payment abuse with Sigma First-Party Fraud risk scores and consortium data signals in RiskOS™.
What is Sigma First-Party Fraud?
Enrichment | Input fields | Signals returned | Coverage | Best for |
|---|---|---|---|---|
First-Party Fraud Risk Signals | Flexible – SSN/ITIN, or name + DOB + address, or other combinations of PII and account details |
| U.S. only | Detecting repeat bad actors and abuse tied to U.S. financial institutions |
What you can do with First-Party Fraud
- Stop repeat fraudsters – Block individuals tied to multiple fraudulent applications or accounts.
- Reduce chargebacks – Identify consumers who repeatedly dispute payments in bad faith.
- Prevent synthetic identity use – Detect inconsistencies across name, DOB, SSN/ITIN, and contact info.
- Strengthen onboarding – Flag suspicious applicants at the point of account creation.
- Monitor high-risk transactions – Detect anomalies in ACH, card, P2P, and wire activity.
- Prioritize investigations – Use detailed signals and reason codes to streamline manual reviews.
Unique Features
Consortium-driven detection Risk signals come from a broad consortium of financial institutions, fintechs, lenders, gaming providers, and telcos.
Dedicated fraud scoring Purpose-built score highlights the likelihood of first-party fraud and repeat abuse.
Cross-institution visibility Surface application, account, and transaction behavior that indicates identity manipulation.
Detailed reason codes Support auditability and enable precise routing in fraud operations.
Adaptive fraud patterns Dynamic detection models incorporate new fraud tactics and abuse vectors across the network.
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Integration
Updated 13 days ago
