SentiLink's Synthetic Fraud Score is designed to combat first- and third-party synthetic fraud by providing precise risk assessments and actionable insights. The system leverages a model trained on extensive internal labels from SentiLink's Fraud Intelligence Team, ensuring it reflects current and evolving fraud tactics. This allows for the identification of sophisticated synthetic identities that other verification methods might miss, including those that might be incorrectly flagged by less nuanced models. By offering a composite abuse score and explanatory reason codes, the product simplifies risk evaluation, presenting a clear risk scale from 0 to 1000. This approach aims to reduce the need for high-cost, manual investigations typically associated with document checks and other traditional verification methods. The score is built upon a proprietary merging logic that combines curated data sources, consortium data, and expert analysis from SentiLink's risk specialists, encompassing data points such as IP address, name, address, phone number, DOB, email, SSN, and behavioral data. The service also includes access to a team of fraud experts who provide deep understanding of synthetic fraud tactics to assist in solving complex cases.

Features & Benefits

• Precise Risk Scoring: Provides a composite abuse score and explanatory reason codes to identify synthetic fraud with high precision.
• Advanced Model Training: Utilizes a model trained on extensive internal labels reflecting evolving fraud tactics.
• Reduced Investigations: Outperforms high-friction methods like document checks, reducing manual review needs.
• Expert Support: Offers access to a team of fraud experts for in-depth analysis and challenging cases.
• Comprehensive Data Integration: Combines proprietary data, consortium data, and expert input for robust identity verification.