Socure Launches AI-Powered Identity Manipulation Risk Score to Combat First-Party Fraud

Socure Introduces AI-Powered Identity Manipulation Risk Score

Socure, a leading AI-driven platform for digital identity verification and fraud prevention, has launched a groundbreaking tool to combat the growing threat of first-party fraud. The new Identity Manipulation Risk Score, embedded within the company's Sigma First-Party Fraud solution, leverages artificial intelligence and real-time data to detect and prevent fraudulent activities across various industries 1

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The Challenge of First-Party Fraud

First-party fraud, which involves individuals using their own verified credentials to commit dishonest acts for personal or financial gain, is costing businesses over $100 billion annually. Unlike third-party fraud involving stolen or synthetic identities, first-party fraud is particularly difficult to detect due to the use of legitimate credentials 2

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A recent survey by Socure revealed that nearly half (49%) of those who committed first-party fraud in 2024 did so because they had successfully done it in 2023, highlighting the growing problem of repeat offenders 3

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How the Identity Manipulation Risk Score Works

The new risk score utilizes Socure's proprietary AI models and the largest first-party fraud intelligence consortium to provide:

1. AI-Powered Predictive Risk Scoring: Quantifies identity manipulation risk at account opening, transactions, and disputes.
2. Consortium-Driven Insights: Leverages real-time data from various sectors, including financial institutions, fintechs, and e-commerce.
3. Real-Time Risk Monitoring: Delivers instant alerts when an identity's risk profile changes.
4. Adaptive Machine Learning Models: Continuously refines fraud detection using insights from billions of transactions 2

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The Power of Cross-Industry Data

Socure's first-party fraud consortium spans major financial institutions, fintechs, payment platforms, sports betting companies, and merchants. This diverse network allows for real-time analysis of dispute histories, payment denials, and account closures across millions of identities and billions of transactions 1

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As of December 2024, the First-Party Fraud Consortium (FPFC) had compiled data intelligence covering 190 million contributed identities, 121 million unique identities, 325 million accounts, and 20 billion transactions 1

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Industry Impact and Expert Opinion

David Mattei, Strategic Advisor at Datos Insights, commented on the significance of this development: "The rise of first-party fraud presents an urgent challenge for financial institutions, fintechs, and digital platforms. With traditional fraud models struggling to detect this unique form of fraud, solutions like Sigma First-Party Fraud offer a new approach -- leveraging AI and cross-industry data to accurately predict and prevent fraudulent activity before it impacts the bottom line" 3

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Availability and Implementation

The Identity Manipulation Risk Score is now available as part of Sigma First-Party Fraud through Socure's RiskOS™ platform and API integrations. This new tool promises to provide organizations with a critical layer of protection against first-party fraud, enabling them to accurately identify fraud risks early, minimize operational costs, and reduce false positives 3

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