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BioCatch vs Riskified 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

BioCatch
Ranking in Fraud Detection and Prevention
5th
Average Rating
9.0
Reviews Sentiment
6.2
Number of Reviews
2
Ranking in other categories
No ranking in other categories
Riskified
Ranking in Fraud Detection and Prevention
9th
Average Rating
9.0
Reviews Sentiment
7.4
Number of Reviews
3
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of October 2025, in the Fraud Detection and Prevention category, the mindshare of BioCatch is 6.2%, down from 8.7% compared to the previous year. The mindshare of Riskified is 4.5%, up from 4.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Fraud Detection and Prevention Market Share Distribution
ProductMarket Share (%)
BioCatch6.2%
Riskified4.5%
Other89.3%
Fraud Detection and Prevention
 

Featured Reviews

Akhil Chapala - PeerSpot reviewer
Has enabled real-time risk-based authentication using behavioral insights across multiple channels
We experienced some stability issues including API latency, SDK initialization failures, and session ID correlation. We mitigated these by synchronous SDK loading, monitoring API performance, ensuring fallbacks for unsupported devices, and regular session validation. Load testing and error logging also help maintain reliability at scale. Currently, I do not have anything to say on present features of BioCatch because we use it frequently but have not explored it completely. As a Java developer, I work on both front-end and back-end. If something could be developed in BioCatch, I see potential in how users interact with devices, such as typing patterns. Also, integration-friendly aspects, such as the lightweight SDK for web, native, and iOS and Android SDKs, along with continuous authentication, real-time risk scoring, and multiple fraud detection models such as account takeover and bot detection, would be beneficial. It could work across web and mobile platforms while maintaining privacy and compliance.
JJ
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…

Quotes from Members

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

Pros

"The best features of BioCatch include analyzing how users interact and creating unique profiles for each user, which is what I appreciate most."
"It can track mouse movements as well as the actual oriental moments of such as the movement of devices, how they are held, and the angles which at they are held. All these are captured for customers and a behavioral profile is built for the customer over a period of time. This would be matched against any fraudulent behavior. If, for example, suddenly a customer account seems to be accessed by our profile, which is not one particular customer account, if the movements or habits are suspect, we can catch the fraud and shut it down."
"The most valuable features of this solution are the scoring and the yes, or no function."
"The scoring mechanism is good."
"Our clients have definitely avoided losing money on multiple occasions due to fraud."
 

Cons

"BioCatch is one of the fraud detection tools which also has machine learning capabilities and it has what is called a machine learning model feature. It is run in the background. The consequence of those machine models is it is complex to perform data functions and the activity and programming techniques. The decision-making for determining what's happening within those models is a little bit complex and not at all transparent. It's not easy for businesses to understand how the model is using the data of the bank customers in order to come to the assumption it does."
"We experienced some stability issues including API latency, SDK initialization failures, and session ID correlation."
"The fraud channel is a sensitive spot, so it's always complex."
"I can't think of any issues that we've faced that need to be improved."
"The user interface could be more intuitive."
 

Pricing and Cost Advice

Information not available
"It is determined by the requirements of each company."
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Top Industries

By visitors reading reviews
Financial Services Firm
56%
Computer Software Company
9%
Manufacturing Company
5%
Comms Service Provider
4%
Financial Services Firm
19%
Retailer
14%
Computer Software Company
11%
University
6%
 

Company Size

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

Comparisons

 

Overview

 

Sample Customers

Information Not Available
ALDO, Macy's, Finish Line, Burlington, Burton Group, Sky-tours, GiftCards.com, Kirna Zabête
Find out what your peers are saying about ThreatMetrix, NICE, FICO and others in Fraud Detection and Prevention. Updated: October 2025.
869,202 professionals have used our research since 2012.