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AuthenticID Fraud Shield
Identity fraud detection software using facial recognition and watchlists

AuthenticID Fraud Shield
Identity fraud detection software using facial recognition and watchlists
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AuthenticID Fraud Shield Description
AuthenticID Fraud Shield is an identity fraud detection software that identifies and blocks fraudulent actors during identity verification processes. The product uses facial recognition technology to compare headshots from government-issued ID documents with user selfies to detect mismatches and fraudulent attempts. The system maintains multiple watchlists to prevent repeat fraud attempts. The Bad Actor Watchlist stores information from fraudulent attempts including IP addresses, names, ID numbers, and facial images. The Bad Document Watchlist tracks fraudulent identity documents by document number and jurisdiction. When a user attempts verification, the system checks against these watchlists in real-time and automatically blocks matches. Fraud Shield performs biographical enrollment by scanning faces from ID documents and selfies to create a database of known fraudsters. This helps detect cases where bad actors use real ID information to create fake documents. The watchlists update immediately after enrollment to prevent multiple fraudulent attempts. The product integrates into existing fraud prevention workflows and operates across multiple customer touchpoints including onboarding, account recovery, and transaction authentication. It uses AI and machine learning for document validation and fraud detection across 200+ countries and languages. The system provides real-time decisioning to flag suspicious identity transactions.
AuthenticID Fraud Shield FAQ
Common questions about AuthenticID Fraud Shield including features, pricing, alternatives, and user reviews.
AuthenticID Fraud Shield is Identity fraud detection software using facial recognition and watchlists developed by AuthenticID. It is a IAM solution designed to help security teams with Fraud Detection, Anti Fraud, AI Powered Security.
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