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IdentityMind vs SAS Fraud Management comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 12, 2024

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
56th
Average Rating
8.6
Reviews Sentiment
6.7
Number of Reviews
2
Ranking in other categories
No ranking in other categories
SAS Fraud Management
Ranking in Fraud Detection and Prevention
8th
Average Rating
8.0
Reviews Sentiment
6.9
Number of Reviews
2
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of May 2025, in the Fraud Detection and Prevention category, the mindshare of IdentityMind is 0.1%, down from 0.1% compared to the previous year. The mindshare of SAS Fraud Management is 4.9%, up from 4.5% 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.
AK
Monitor multiple channels with a single platform
Each bank has a lot of different verticals. Before, for each and every vertical, they had to implement a different fraud solution. Presently, the main purpose of SAS is to maintain a centralized platform for all of the verticals — like agriculture, NSME, and home loans. For each and every vertical, they created a centralized platform where the bank can monitor everything from one system. That is the main purpose of SAS Fraud Management. It is a little bit costly. Otherwise, it's pretty good. Suppose you are going to create a data science model or an analytical model. With Python, you have to write long subcodes, but with SAS, you just have to drag and drop those things. If you know all of the logic and all of the theories, then it's a very comfortable tool to use. The security is also very good. That's why most of the industry is adopting SAS. Data security is very good because the Reserve Bank of India has approved it. That said, almost all the banks are now implementing SAS as an all-in-one solution.

Quotes from Members

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

Pros

"The automated checks are excellent."
"They have a very wide variety of rules that allow you to integrate well."
"The security is also very good."
"The solution is easy to use."
 

Cons

"Some of the language around rules and integration can certainly be improved."
"The UI at first felt like it wasn't the easiest interface to interact with."
"Occasionally, there are some mechanisms that can work a bit slow."
 

Pricing and Cost Advice

"The SaaS model that we pay is what I know the cost for, and it's reasonable. It's about just under $1,000 or something per month. There is a certain number of users that you get free."
"If your company has the budget, I would absolutely recommend SAS."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
30%
Computer Software Company
15%
Comms Service Provider
7%
Educational Organization
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
No data available
 

Overview

 

Sample Customers

Veem, Mercari, Fundbx, Binance, Huobi, Mezu, Montual
Nets
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