Try our new research platform with insights from 80,000+ expert users

IdentityMind vs SEON Fraud Prevention comparison

 

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

IdentityMind
Ranking in Fraud Detection and Prevention
54th
Average Rating
8.6
Reviews Sentiment
6.7
Number of Reviews
2
Ranking in other categories
No ranking in other categories
SEON Fraud Prevention
Ranking in Fraud Detection and Prevention
30th
Average Rating
0.0
Number of Reviews
0
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of August 2025, in the Fraud Detection and Prevention category, the mindshare of IdentityMind is 0.1%, up from 0.1% compared to the previous year. The mindshare of SEON Fraud Prevention is 1.4%, up from 0.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Fraud Detection and Prevention
 

Featured Reviews

DB
Great third-party integrations, very stable and easy to set up
Some of the language around rules and integration can certainly be improved. Account creation rules and account creation flows were very helpful to me and very easy to understand, however, the management of transactions on the platform is not very good. The integration between the management of transactions and the management of account creation is quite low. I would love it if they could combine the two and make it a little bit more robust. Mostly the challenge that I faced is some of the limiting rules or some of the fraud-related checks or preventive measures that we were taking, if we could take that on the account creation side, the transaction side, it would not carry over. We would have to redo the same thing there. The number of rooms on the transaction side was fewer. What I want is deeper and better integration between a transaction and an actual account that's been created today. Let's say that I opened the details for the transaction to figure out something about it. The transaction is coming from a different geography. I want to know what's going on with it. If I could do that, I would ideally like to know who is doing the transaction without separately having to go and find this account through email search or whatever. Linkage between the two is pretty low and rules as well are not very integrated between the two. In terms of AML and transaction management use cases, they do aggregate transactions. For example, let's say over a period of one month I do five transactions. Their backend system knows how many transactions I've done, yet they don't expose that to me on the user's side. I cannot see that and report it. I have to do a calculation. If I'm the user, as in I'm the company that's using it, I have to run calculations on my side to figure out how much transaction has gone through.
Use SEON Fraud Prevention?
Share your opinion
report
Use our free recommendation engine to learn which Fraud Detection and Prevention solutions are best for your needs.
865,295 professionals have used our research since 2012.
 

Comparisons

 

Also Known As

No data available
SEON Intelligence Tool
 

Overview

 

Sample Customers

Veem, Mercari, Fundbx, Binance, Huobi, Mezu, Montual
Grab, KLM, FairMoney, Panini, Revolut, Patreon
Find out what your peers are saying about ThreatMetrix, NICE, FICO and others in Fraud Detection and Prevention. Updated: July 2025.
865,295 professionals have used our research since 2012.