IdentityMind vs Kount comparison

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IdentityMind

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Executive SummaryUpdated on Dec 12, 2024

Kount and IdentityMind compete in the fraud prevention and identity verification industry. Data comparisons suggest Kount excels in ease of integration and support, while IdentityMind stands out with its versatile features.

Features: Kount offers seamless integration with multiple platforms, advanced AI-driven analytics, and adaptive fraud prevention tools focusing on real-time decision-making. IdentityMind provides extensive digital identity verification, automated compliance checks, and strong emphasis on blockchain technology. The key difference is Kount's adaptability and real-time analytics, while IdentityMind emphasizes compliance and digital identities.

Ease of Deployment and Customer Service: Kount provides quick deployment, straightforward integration, and strong customer support, ensuring minimal disruption. IdentityMind offers detailed guidance with comprehensive support options, but the process can be complex. Kount suits businesses needing rapid deployment, while IdentityMind caters to those needing thorough support and guidance.

Pricing and ROI: Kount involves lower upfront setup costs, providing good ROI with scalable pricing based on transactional volume. IdentityMind typically requires a higher initial investment, justified by its extensive feature set and value over time. Kount's pricing model is attractive for businesses seeking cost efficiency, while IdentityMind's reflects comprehensive feature breadth offering long-term value.

To learn more, read our detailed IdentityMind vs. Kount Report (Updated: April 2025).

IdentityMind vs. Kount

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Helped 850,028 peers since 2012

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

Ranking in other categories

No ranking in other categories

Kount

Ranking in Fraud Detection and Prevention

13th

Average Rating

9.0

Reviews Sentiment

7.6

Number of Reviews

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 Kount is 1.5%, down from 1.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Fraud Detection and Prevention

Featured Reviews

Dhiraj Bhat

Senior Product Manager at Cred

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.

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Chris Zappato

Fraud Analyst at Pinterest

Features a large database of fraud signals and indicators to stop fraud in its tracks

At my old company, I used to use a tool called Sift. It's another great tool, but I prefer Kount. The major differences between the two solutions are how they're laid out and how fast you can gather as much information as possible. I personally prefer Kount — that's my personal preference. I've worked with both platforms for many years. I personally prefer Kount for the way that they display information and for the variety and flexibility they offer when it comes to the rules — from very simple to very complex. Kount is better designed for catching fraud, detecting fraud, and preventing fraud. Sift is also great; you will not go wrong if you go with Sift, but I personally prefer Kount.

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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."

"It's an in-depth, all-in-one solution."

"The initial setup was absolutely straightforward. Within a week I was fully working."

"The most valuable feature is its ability to create your own ruleset and edit it whenever you want. Their reporting functionality is very helpful. It's really robust."

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."

"They could do a little bit better with chargeback management. There are other solutions out there that I've heard about, like Accertify that have a better chargeback platform where they're integrated more with the banks or in terms of how the workflow is and how you can respond to chargebacks."

"The rule system and automation could be expanded a little bit more."

"The time that is taken to go to Kount and come back should be in the order of around 100 milliseconds or less. And our context was taking around 200 to 300 milliseconds. We didn't want the extra load of 100 milliseconds to happen, so if the two rounds of stability could be cut to one, that would be very helpful."

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."

"I think the pricing is great — I think it's totally worth what they're charging because the benefits are great."

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850,028 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

No data available

Computer Software Company

19%

Financial Services Firm

17%

Retailer

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Comparisons

No data available

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Product Reports

Fraud Detection and Prevention

Download IdentityMind product report

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Overview

The balance between best experience and least fraud is tough to find. Too much risk means fraud and chargebacks that can hurt your bottomline. Too much security means fewer customers and more unhappy customers. What’s the balance for the best online fraud detection? Knowing who’s on the other end of the transaction is the best start, and IdentityMind helps you get there.

IdentityMind lets you see who’s on the other end of the transaction so you can identify the good guys you want to do business with and the bad guys that you want to avoid. And, using digital identities powered by eDNA™ technology, you can get a more accurate picture of risk to enable better customer selection and fewer rejections of good customers. eDNA leverages machine learning to build trusted digital identities and analyze identities for the most accurate reputation score (risk profile) possible. Our algorithms provide reputations for each entity tailored for the industry in which you do business. And, we enable you to modify your risk process on the fly, adding in additional checks where merited.

Acuant

Kount’s patented machine learning technology analyzes transactions to stop fraud and increase revenue for online businesses, merchants, acquiring banks, and payment service providers.

Sample Customers

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

CD Baby, Crate & Barrel, Domino's Pizza, Dunkin' Brands, Hydrobuilder, Jagex, JOANN Fabric & Crafts, Leatherman, Micro Center, Staples, The Iconic, The Source, The Vitamin Shoppe, TickPick and WebJet.

IdentityMind vs. Kount