Grid® Report for Fraud Detection | Winter 2026

Grid® for Fraud Detection Software

Leaders
High Performers
Contenders
Niche
Sift
Mastercard Identity Review 360
Signifyd
iDenfy
SEON. Fraud Fighters
eftsure
Veriff
Fingerprint
DataDome
NoFraud
Appdome
Sumsub
ZeroFox
Prove
Kount
Pipl
CertifID
Closinglock
Chargeflow
Incognia
Cyberint, a Check Point Company
CTM360
Sardine
Shield
Sensfrx - Online Fraud Prevention
Mangopay
Evereye
Mitek Systems
IPQS
GeoComply
Forter
Riskified
Recorded Future
MediaGuard
NICE Actimize Xceed
Entrust IDV, formerly Onfido
Vesta
IDVision with iovation
ClearSale
Flashpoint
Ocrolus
SAP Business Integrity Screening
F5 Distributed Cloud Bot Defense
Bolt
CHEQ
Unit21
DataVisor
Sanction Scanner
Oscilar
Arkose Labs
Fraud.net
Market Presence Information
Satisfaction Information
Fraud Detection Software Definition

Fraud detection software, or online fraud detection software, is used to detect illegitimate and high-risk online activities. These tools continuously monitor user behavior and calculate risk figures to identify potentially fraudulent purchases, transactions, or access. Fraud detection tools are used by the IT and compliance departments of businesses and digital banking companies to monitor potential fraudulent actions made by their users. Companies adopt these tools to prevent cyberattacks, fraudulent transactions, and identity theft while protecting sensitive information about the business and its customers.

Utilizing machine learning and real-time behavior analytics, fraud detection tools can perform real-time risk classification based on device and IP reputation and other factors. There is some overlap between fraud detection solutions and e-commerce fraud protection software. But those tools are more geared toward enforcing regulations and analyzing purchasing behavior, rather than monitoring, detecting, and alerting incidents of fraud as they happen.

To qualify for inclusion in the Fraud Detection category, a product must:

  • Detect illegitimate activities related to payments, purchases, account creation, and chargebacks
  • Monitor websites, networks, and applications for fraud
  • Prevent digital payment fraud
  • Analyze open-source and network data to find anomalies and historical fraudulent behavior
  • Provide alerts and analysis tools for administrators
  • Ensure compliance with data privacy and security regulations
  • Discover suspicious online activity and spot patterns of abuse
  • Detect and mitigate account takeover and identity theft attacks
Fraud Detection Grid® Scoring Description
Products shown on the Grid® for Fraud Detection have received a minimum of 10 reviews/ratings in data gathered by November 04, 2025. Products are ranked by customer satisfaction (based on user reviews) and market presence (based on market share, seller size, and social impact) and placed into four categories on the Grid®:
© 2025 G2, Inc. All rights reserved. No part of this publication may be reproduced or distributed in any form without G2’s prior written permission. While the information in this report has been obtained from sources believed to be reliable, G2 disclaims all warranties as to the accuracy, completeness, or adequacy of such information and shall have no liability for errors, omissions, or inadequacies in such information.