Sigma First-Party Fraud

What is Sigma First-Party Fraud?

Sigma First-Party Fraud uses consortium data from U.S. financial institutions, fintechs, lenders, gaming, telcos, and more to detect identities associated with repeat bad actors, chargebacks, and payment abuse. It provides both risk signals and a dedicated risk score to help prevent first-party fraud during account opening, transactions, or disputes.

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	Consortium-based indicators tied to prior fraudulent accounts, disputes, or abuse Frequency and distinct counts of identity elements (emails, phones, addresses, etc.) Cross-institution application and account activity patterns	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.

Get started

Enable First-Party Fraud for your workspace through the RiskOS™ Dashboard.

Create a workflow

Build a new RiskOS™ workflow or update an existing one with First-Party Fraud.

Submit identity data

Send a payload to the /api/evaluation endpoint using valid PII combinations.

Integration

Payload schema

View required and optional fields for Sigma First-Party Fraud requests.

Interpret result

Use the risk signals to drive workflow outcomes.

Fraud models

Learn about Socure’s fraud detection framework for the Identity Manipulation Model and the Dispute Abuse Model.

Updated 4 months ago