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Amazon Fraud Detector vs Human Defense Platform 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

Amazon Fraud Detector
Ranking in Fraud Detection and Prevention
22nd
Average Rating
8.0
Reviews Sentiment
7.8
Number of Reviews
1
Ranking in other categories
No ranking in other categories
Human Defense Platform
Ranking in Fraud Detection and Prevention
30th
Average Rating
10.0
Reviews Sentiment
8.1
Number of Reviews
1
Ranking in other categories
Bot Management (6th)
 

Mindshare comparison

As of November 2026, in the Fraud Detection and Prevention category, the mindshare of Amazon Fraud Detector is 1.8%, up from 1.4% compared to the previous year. The mindshare of Human Defense Platform is 1.4%, up from 1.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Fraud Detection and Prevention Mindshare Distribution
ProductMindshare (%)
Amazon Fraud Detector1.8%
Human Defense Platform1.4%
Other96.8%
Fraud Detection and Prevention
 

Featured Reviews

reviewer1461372 - PeerSpot reviewer
Graduate Analytics Consultant at a tech services company with 51-200 employees
Quickly and reliably identifies potentially fraudulent activity
The problem I was facing, from a machine learning perspective, it only had a supervised learning capability. You would have to provide your data live, but in fraud, the pattern of the fraudsters keeps changing and it's impossible to provide data labels. That's where the user unsupervised learning comes in handy — you don't have to tell them, "okay, this is fraud and this is not fraud." If unsupervised learning was also incorporated with Amazon SageMaker, that would be really cool. I am talking about anomaly detection algorithms, like isolation, forest, or anything on the neural network side for anomaly detection, including autoencoders. These are some things which companies would really like to use. There was also a problem with latency. In fraud detection, everything needs to be happening in real-time, but some of the algorithms ran for three to four minutes, which is not a viable option.
it_user785406 - PeerSpot reviewer
Project Manager/Team Leader at a comms service provider with 51-200 employees
They ensure that our campaigns have run in the highest quality of settings, leading to savings on ad spending
Primary use case of this solution is to detect fraud traffic (also mark the network which is sending the fraud traffic) and block the fraud traffic. These metrics help us to minimize wasted ad spend and provide our clients an extra layer of confidence around our campaigns As a result of the…

Quotes from Members

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

Pros

"Overall, we got some really good results; we got roughly a 77% recall, which meant 77% of the total fraud was actually picked up by Amazon Fraud Detector."
"PerimeterX helped us to ensure that our campaigns have run in the highest quality of settings, leading to savings on ad spending."
 

Cons

"There was also a problem with latency. In fraud detection, everything needs to be happening in real-time, but some of the algorithms ran for three to four minutes, which is not a viable option."
"As bots are getting better and the product should keep getting updates in preventing new ways of attack and security."
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920,769 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
No data available
Financial Services Firm
16%
Manufacturing Company
13%
Comms Service Provider
12%
University
9%
 

Company Size

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

Also Known As

AWS Cloud9 IDE, Cloud9 IDE
PerimeterX Bot Defender, BotGuard for Applications, HUMAN MediaGuard
 

Overview

 

Sample Customers

Expedia, Intuit, Royal Dutch Shell, Brooks Brothers
theTradeDesk
Find out what your peers are saying about ThreatMetrix, BioCatch, NICE and others in Fraud Detection and Prevention. Updated: October 2026.
920,769 professionals have used our research since 2012.