No more typing reviews! Try our Samantha, our new voice AI agent.

F5 Shape Security vs SEON Fraud Prevention comparison

Why PeerSpot?
 

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

F5 Shape Security
Ranking in Fraud Detection and Prevention
19th
Average Rating
8.6
Reviews Sentiment
7.5
Number of Reviews
2
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 F5 Shape Security is 1.7%, down from 1.8% 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%
F5 Shape Security1.7%
Other96.2%
Fraud Detection and Prevention
 

Featured Reviews

Nikolay Dimitrov - PeerSpot reviewer
Cyber Security Engineer at Paysafe / IBM
Easy to configure and blocks bot attacks for web users
The solution is deployed on the F5 cloud. The solution's real-time analytics help you see what has been blocked. It helps to see whether the attack category was an automation attack or a fake browser. F5 Shape Security has a normal dashboard. We are doing F5 Shape Security migrations for 30 customers. F5 Shape Security uses Javascript. For a lot of competitors, the Javascript can be reverse-engineered by attackers to bypass the protection. F5 Shape Security has machine learning authentication of the Java script. If you had hacked it, the encryption would have been changed. It's really hard for attackers to reverse engineer the F5 Shape Security JavaScript. Overall, I rate the solution a nine out of ten.
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

"F5 Shape Security's most valuable feature is performance."
"The most valuable feature of the solution is the ease of configuration."
"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 is one of the platforms I have worked with that has everything in one place, and for fraud analysis work, this is everything."
"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 made it really easy for us to programmatize and automate a lot of what we were previously doing on our own."
 

Cons

"The tool's price is high."
"I want the solution's custom exclusion rules to be more granular."
"In terms of what I disliked about SEON Fraud Prevention, I will say that it did have a learning curve."
"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."
 

Pricing and Cost Advice

"The solution is moderately priced."
Information not available
report
Use our free recommendation engine to learn which Fraud Detection and Prevention solutions are best for your needs.
921,523 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
26%
Comms Service Provider
9%
Healthcare Company
9%
Manufacturing Company
8%
Financial Services Firm
19%
Outsourcing Company
12%
Comms Service Provider
12%
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
Earn 20 points
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

Shape Security
SEON Intelligence Tool
 

Overview

 

Sample Customers

Wells Fargo, Loblaw, JetBlue, Zoosk
Grab, KLM, FairMoney, Panini, Revolut, Patreon
Find out what your peers are saying about F5 Shape Security vs. SEON Fraud Prevention and other solutions. Updated: November 2026.
921,523 professionals have used our research since 2012.