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Brand: Signifyd
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Case Management
Centralizes fraud cases in one dashboard, streamlining investigation, collaboration, and resolution for risk teams.
Risk Scoring
Generates real-time fraud risk scores for each order, enabling smarter approval, review, or decline decisions instantly.
Reporting & Analytics
Provides detailed fraud, chargeback, and return abuse reporting with insights to optimize ecommerce performance.
Fraud Detection
AI-driven fraud detection system that analyzes transactions in real-time to identify and block suspicious activity.
Chargeback Protection
Covers chargebacks from fraudulent transactions with financial guarantees, reducing merchant liability and loss risk.
Account Protection
Safeguards customer accounts against takeover attempts using behavioral analysis and strong identity verification tools.
Order Automation
Automates order review and approval workflows, eliminating manual processes while increasing speed and accuracy.
Payment Optimization
Enhances payment approval rates by sharing detailed risk insights with issuers to reduce false declines and lost sales.
Behavioral Analytics
Analyzes user interactions and behavioral signals to detect abnormal activities and prevent fraud in real-time.
Identity Verification
Validates shopper identities with advanced risk intelligence to distinguish between trusted buyers and fraudsters.
Decision Automation
Uses machine learning to make instant order decisions, reducing delays and ensuring a seamless customer checkout flow.
Customizable Rules Engine
Enables merchants to set fraud detection rules tailored to business needs while leveraging Signifyd’s AI intelligence.
Brand Name | Signifyd |
Information | Signifyd is a provider of an enterprise-grade fraud technology solution for e-commerce stores. |
Founded Year | 2011 |
Director/Founders | Mike Liberty, Rajesh Ramanand |
Company Size | 501-1000 Employees |
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