iDenfy Fraud Scoring Logo

iDenfy Fraud Scoring

Customer risk scoring tool for fraud detection in financial transactions.

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iDenfy Fraud Scoring Description

iDenfy Fraud Scoring is a transaction fraud detection and monitoring solution designed to assess the risk level of customers and financial transactions. It evaluates multiple customer data points to generate a risk score, which can then trigger different levels of identity verification or transaction actions. The solution performs risk assessment across several data categories: - Personal identifiers: full name, address, phone number, IP address, and device fingerprint - Email security and vendor-level checks including timestamps, types, and security features - Payment card and bank risk evaluation - Dark web and black market database monitoring for stolen card details Based on the resulting risk score (Low, Medium, High, or Very High), the platform supports configurable rules that determine the next action — from proceeding with an order, to requiring identity or utility bill verification with liveness detection, to cancelling the transaction outright. The product is part of the iDenfy HUB ecosystem, which allows it to be combined with additional services such as AML Screening, KYB verification, Phone Verification, Proxy Detection, Identity Verification, NFC Verification, and Proof of Address Verification. It is positioned for use across multiple industries including Fintech, Banking, Gambling and Gaming, Blockchain and Crypto, E-Commerce, Real Estate, Healthcare, Telecommunications, and Transportation. The product is compliant with GDPR and CCPA and holds SOC, ISO 27001, and iBeta ISO 30107 certifications.

iDenfy Fraud Scoring FAQ

Common questions about iDenfy Fraud Scoring including features, pricing, alternatives, and user reviews.

iDenfy Fraud Scoring is Customer risk scoring tool for fraud detection in financial transactions. developed by iDenfy. It is a IAM solution designed to help security teams with Fraud Detection, Anti Fraud, Risk Assessment.

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