Page 23 | Best Fraud Detection Software: User Reviews from November 2026

Best Fraud Detection Software - Page 23

How Many Fraud Detection Software Products Does G2 Track?

Total Products under this Category: 331

Category Stats (Nov 2026)

Average Rating: 4.59/5 (↑0.01 vs Oct 2026) The average rating of products in this category, based on all submitted ratings
Top Trending Product: Identomat (+3.77%) - Among all products in this category, Identomat recorded the largest rating increase compared to last month

Last updated: November 01, 2026

How Does G2 Rank Fraud Detection Software Products?

Why You Can Trust G2's Software Rankings:

30 Analysts and Data Experts
7,500+ Authentic Reviews
331+ Products
Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.

G2 Grid® for Fraud Detection Software

Highlighted products: Fingerprint, Sift, Chargeflow, eftsure, Mastercard Identity Review 360, SEON, iDenfy, and Signifyd.

Underlying data: [Grid® JSON](https://www.g2.com/categories/fraud-detection/grids.json?focus%5B%5D=fingerprintjs-fingerprint&focus%5B%5D=sift-s-ai-powered-fraud-decisioning-platform-sift&focus%5B%5D=chargeflow-inc-chargeflow&focus%5B%5D=eftsure&focus%5B%5D=mastercard-identity-review-360&focus%5B%5D=seon&focus%5B%5D=idenfy&focus%5B%5D=signifyd)

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

Best Fraud Detection Software - Page 23

How Many Fraud Detection Software Products Does G2 Track?

Category Stats (Nov 2026)

How Does G2 Rank Fraud Detection Software Products?

G2 Grid® for Fraud Detection Software

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