Compare Amazon Fraud Detector vs. DataVisor

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Top Review
Find out what your peers are saying about ThreatMetrix, NICE, Forter and others in Fraud Detection and Prevention. Updated: September 2021.
535,015 professionals have used our research since 2012.
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Questions from the Community
Top Answer: 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… more »
Top Answer: We used it for an Academy project and we also used it for a credit card transaction fraud detection project. The purpose of the project was to denote anomalies or customer records that were different… more »
Top Answer: Make your integrations right and test them properly because it is still a new product. Things could break depending on their use case. If you are able to ensure that everything is one hundred percent… more »
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Ranking
Views
174
Comparisons
60
Reviews
1
Average Words per Review
754
Rating
8.0
Views
250
Comparisons
137
Reviews
0
Average Words per Review
0
Rating
N/A
Comparisons
Also Known As
AWS Cloud9 IDE, Cloud9 IDE
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Overview

Amazon Fraud Detector is a fully managed service that makes it easy to identify potentially fraudulent online activities such as online payment fraud and the creation of fake accounts. Globally each year, tens of billions of dollars are lost to online fraud.

DataVisor is the leading big data fraud detection solution utilizing unsupervised analytics to identify malicious account campaigns before they conduct any damage to banks, consumer-facing web sites and mobile apps. Our unique approach to big data fraud detection does not rely on prior knowledge of attack patterns – “training data” in data science speak.

The rapid expansion of consumer-facing online services has led to an explosion of user accounts, ushering in the “billion user era”. Well-organized attack campaigns are using this growth to their advantage, creating armies of fake and compromised accounts to hide in the shadows and conduct fraud against banks, web sites and mobile apps. It is challenging for trust and safety teams to stay ahead of these fraudsters since rules and models need constant maintenance and are always reacting after the damage has been done. Our approach to big data fraud detection gives you a leg up. 

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Sample Customers
Expedia, Intuit, Royal Dutch Shell, Brooks Brothers
I Got Games, Momo, Changba, Yelp
Find out what your peers are saying about ThreatMetrix, NICE, Forter and others in Fraud Detection and Prevention. Updated: September 2021.
535,015 professionals have used our research since 2012.

Amazon Fraud Detector is ranked 12th in Fraud Detection and Prevention with 1 review while DataVisor is ranked 30th in Fraud Detection and Prevention. Amazon Fraud Detector is rated 8.0, while DataVisor is rated 0.0. The top reviewer of Amazon Fraud Detector writes "Quickly and reliably identifies potentially fraudulent activity". On the other hand, Amazon Fraud Detector is most compared with Broadcom Payment Security, whereas DataVisor is most compared with ThreatMetrix and Sift Digital Trust and Safety.

See our list of best Fraud Detection and Prevention vendors.

We monitor all Fraud Detection and Prevention reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.