Gartner Research

Market Guide for Online Fraud Detection

Published: 31 January 2018

ID: G00318445

Analyst(s): Tricia Phillips , Jonathan Care

Summary

Online fraud detection is growing in complexity and demand, and its tools are being used for risk-based authentication and new account fraud prevention. Security and risk management leaders involved in online fraud detection should use machine-learning analytics and cloud-based deployment options.

Table Of Contents

Market Definition

Market Direction

  • The Rise of Machine Learning in Fraud Detection

Market Analysis

  • Fraud Analytics
  • Fraud Hub/Enterprise Fraud Platform
  • Contact Center Fraud Prevention
  • Endpoint and Behavior Analysis
  • Automated, Remote and Malware Attack Protection

Representative Vendors

Market Recommendations

  • Prepare for Longer Proof-of-Concept Exercises
  • Use Behavioral Biometrics Systems for Customer Fraud Detection
  • Use the Omnichannel for Step-up Identify Verification

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