Gartner Research

How to Select a Machine Learning Vendor for Fraud Detection in Online Retail

Published: 01 March 2019

ID: G00382774

Analyst(s): Jonathan Care, Akif Khan

Summary

Machine learning should be part of a defense-in-depth, online fraud strategy to protect security and risk management leaders from online fraud. To cut through vendor hype, SRM leaders should choose solutions based on the transparency of the technology platform and the explainability of its findings.

Table Of Contents
  • Key Challenges

Introduction

Analysis

  • Assess the Models and Data Being Used by Vendors and the Implications for Your Business
    • Supervised Machine Learning Model
    • Unsupervised Machine Learning Model
    • Semisupervised Machine Learning Model
    • The Ensemble Approach
  • Prioritize Machine Learning Solutions That Explain Why a Decision Was Made
  • Determine Whether Vendor Solutions Can Support Incremental Integration Into Fraud Management Operations to Build Trust

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