Overview

Socure Sigma Synthetic Fraud is a cloud‑based SaaS solution designed to detect, score, and block synthetic identity fraud using advanced machine learning and consortium‑level data. The platform analyzes thousands of data sources and patterns to differentiate malicious synthetic identities from legitimate applicants, enabling organizations to prevent fraud at account creation and throughout the customer lifecycle. Combining a broad network of shared feedback data and predictive analytics, the product helps reduce false positives, improve customer experience, and lower operational fraud costs.

Features and Capabilities

• **Core Detection & Risk Scoring: **Sigma Synthetic Fraud calculates a predictive risk score from thousands of synthetic‑specific features, helping teams identify and block synthetic identities before they enter the ecosystem.
• **Machine Learning & AI: **Adaptive ML models trained on diverse, labeled fraud patterns ensure the platform stays ahead of evolving synthetic tactics.
• **Consortium Intelligence: **Leverages data shared by over 2,700 organizations to build a large database of good and bad identities, improving detection accuracy.
• **Multi‑Source Data Integration: **Real‑time risk analysis incorporates 400+ third‑party data sources including credit headers, proof‑of‑life data, velocity signals, and network linkages.
• **Interpretability & Reason Codes: **Fraud decisions include simple‑to‑understand reason codes to explain risk scoring and assist decision teams.
• **Automated Workflows: **Fully automated risk decisions reduce manual review workload and operational costs.
• **Improved Customer Experience: **Reduces false positives and accelerates approval of legitimate users, including thin‑file applicants.
• **Targeted Synthetic Identity Types: **Designed to detect manipulated and fabricated identities under definitions like Federal Reserve synthetic fraud standards.