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Riskified vs SEON Fraud Prevention comparison

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Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Riskified
Ranking in Fraud Detection and Prevention
7th
Average Rating
9.0
Reviews Sentiment
7.4
Number of Reviews
3
Ranking in other categories
No ranking in other categories
SEON Fraud Prevention
Ranking in Fraud Detection and Prevention
4th
Average Rating
8.6
Reviews Sentiment
6.5
Number of Reviews
4
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of November 2026, in the Fraud Detection and Prevention category, the mindshare of Riskified is 3.0%, down from 3.9% compared to the previous year. The mindshare of SEON Fraud Prevention is 2.1%, up from 1.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Fraud Detection and Prevention Mindshare Distribution
ProductMindshare (%)
SEON Fraud Prevention2.1%
Riskified3.0%
Other94.9%
Fraud Detection and Prevention
 

Featured Reviews

JJ
Operations Manager at Wanderlust
Integrates well, reasonably priced, and the technical support is helpful
The most valuable features of this solution are the scoring and the yes, or no function. I am satisfied with the documentation it provides. It integrates well with other products The user interface could be more intuitive. I have been familiar with Riskified for three years. Riskified is a…
AN
IT Manager at Airtel Group
Unified fraud and AML protection has reduced losses while configuration still needs to be simpler
SEON Fraud Prevention is not almost 100% accurate, but some areas where it can be improved are on the learning curve. It is a tech-savvy platform and requires the users to be also tech-savvy. When paired or left in the hands of people who do not understand the emerging issues in fraud detection and AI or machine learning, they are not able to run the platform well. This may expose the company to any form of fraud and lead to big losses. Furthermore, this is a platform that suits mid-sized and large enterprises who handle more customers and who have more frequency of fraud occurring. This phenomenon locks out small business users as they do not have that high risk or do not have that high frequency of being targeted by scammers or fraudsters. Those are some of the areas where it can be improved. The initial configuration is an area for improvement. To make it secure and customizable, you have to configure it to suit your organization. Whether you are in the fintech industry, in insurance, or in a money handling business, you have that configuration period and it takes quite some time. This slows down the rate of usage of the platform.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"Our clients have definitely avoided losing money on multiple occasions due to fraud."
"The scoring mechanism is good."
"The most valuable features of this solution are the scoring and the yes, or no function."
"I think that it is a great partnership if you are looking for reliable fraud prevention for your company."
"Riskified's KPIs are probably the highest in the industry."
"SEON Fraud Prevention has positively impacted my organization by helping control the fraud rate in a meaningful way that safeguards brand reputation and member accounts."
"SEON Fraud Prevention is one of the platforms I have worked with that has everything in one place, and for fraud analysis work, this is everything."
"With SEON Fraud Prevention in place, we have saved money that could have been targeted by scammers by around 50%, which has also grown our profitability by around 30% and proves we have seen a return on our investment."
"SEON Fraud Prevention made it really easy for us to programmatize and automate a lot of what we were previously doing on our own."
 

Cons

"The fraud channel is a sensitive spot, so it's always complex."
"The user interface could be more intuitive."
"I can't think of any issues that we've faced that need to be improved."
"We didn't have the same consultants Riskified's side throughout the deployment, so we sometimes had to redefine the Business requests."
"SEON Fraud Prevention is not almost 100% accurate, but some areas where it can be improved are on the learning curve."
"I believe SEON Fraud Prevention can be improved by ensuring that the database at the back is accurate for all regions, as it is currently focused on major countries like the United States and needs a bit more improvement on Canadian data."
"Regarding the scalability aspect in SEON Fraud Prevention, there are some limitations. One limitation was that I could not see the transactions, so if considering this aspect, there are limitations in that regard."
"In terms of what I disliked about SEON Fraud Prevention, I will say that it did have a learning curve."
 

Pricing and Cost Advice

"It is determined by the requirements of each company."
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Top Industries

By visitors reading reviews
Financial Services Firm
12%
Retailer
12%
Outsourcing Company
12%
Construction Company
9%
Financial Services Firm
22%
Comms Service Provider
13%
Outsourcing Company
11%
Wholesaler/Distributor
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise1
Large Enterprise4
 

Questions from the Community

Ask a question
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What is your experience regarding pricing and costs for SEON Fraud Prevention?
My experience with pricing, setup cost, and licensing involved negotiations, but overall, I believe it has a good pricing model that can cater to different organizations.
What needs improvement with SEON Fraud Prevention?
I believe SEON Fraud Prevention can be improved by ensuring that the database at the back is accurate for all regions, as it is currently focused on major countries like the United States and needs...
What is your primary use case for SEON Fraud Prevention?
My main use case for SEON Fraud Prevention is real-time fraud detection and monitoring. A specific example of how I use SEON Fraud Prevention for real-time fraud detection and monitoring is that lo...
 

Also Known As

No data available
SEON Intelligence Tool
 

Overview

 

Sample Customers

ALDO, Macy's, Finish Line, Burlington, Burton Group, Sky-tours, GiftCards.com, Kirna Zabête
Grab, KLM, FairMoney, Panini, Revolut, Patreon
Find out what your peers are saying about ThreatMetrix, BioCatch, NICE and others in Fraud Detection and Prevention. Updated: October 2026.
920,929 professionals have used our research since 2012.