2021 Gartner® Market Guide for Online Fraud Detection

Fill out the form to receive your copy of the report.

Thank you. Your report access will be delivered to your inbox shortly. If you have access issues, please email


How Can You Protect Your Business and Customers from Online Fraud?

Online fraud has widespread business impacts and requires an effective end-to-end strategy to prevent account takeover (ATO), deter new account fraud, and stop suspicious payment transactions.

A cohesive toolset that includes bot detection, machine learning models, and behavior analytics that leverage Device ID and telemetry can help security and risk-management leaders detect fraud and prevent policy abuse while minimizing false positives, preserving customer experience, and ensuring successful promotional, reseller, and loyalty programs.

Read the 2021 Gartner® Market Guide for Online Fraud Detectionto learn:

  • How online fraud detection is expanding to encompass a broader range of use cases, including policy abuse of promotional, reseller, and loyalty programs.
  • Why security and risk-management leaders need to focus on ROI, false positive rates, and customer experience when evaluating vendors.
  • The importance of moving away from point solutions to address revenue-impacting challenges and drive value through orchestration.


Learn how to detect and prevent online fraud

Get the report

f5 inc

2021 Gartner® Market Guide for Online Fraud Detection, Akif Khan, Jonathan Care, July 12, 2021.

Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, express or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved.