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Average Ratings 0 Ratings

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features
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support

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Write a Review

Description

Create, implement, and oversee fraud detection algorithms even if you lack prior machine learning expertise. Utilize your historical data alongside over two decades of Amazon's expertise to develop a precise and tailored fraud detection solution. Begin identifying fraudulent activities right away, effortlessly improve your models with personalized business rules, and apply the outcomes to produce essential predictions. With Amazon Fraud Detector, a fully managed service, customers can swiftly recognize and address potential fraudulent actions, significantly increasing their ability to combat online fraud. This service not only simplifies the model-building process but also allows for ongoing adjustments to keep pace with evolving fraud tactics.

Description

Our cutting-edge fraud prevention system meticulously evaluates every user to identify and eliminate potentially harmful ones while ensuring a seamless experience for your genuine customers. This process occurs effortlessly and in real-time, allowing you to gain insights into your users across your website and mobile applications on both Android and iOS. By utilizing our highly accurate financial transaction fraud detection tools, you can enhance your acceptance rates and significantly lower your fraud and chargeback ratios. There’s no need for manual reviews unless absolutely necessary, meaning your customers are not disrupted, and you receive robust fraud protection. We focus on delivering more legitimate transactions by effectively thwarting fraudsters with exceptional accuracy. Our solution not only provides a competitive advantage but also guarantees effectiveness across various platforms, including web browsers and native mobile applications. By identifying fraudulent activities and preventing them, we safeguard your operations against over 100 pertinent fraud tactics, continually updating our strategies to keep pace with the constantly changing landscape of fraud. Additionally, our commitment to innovation ensures that your business remains protected against emerging threats in real-time.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

AWS AI Services Yes 
Amazon Web Services (AWS) Yes 
CREDITONLINE No 

Integrations

AWS AI Services No 
Amazon Web Services (AWS) No 
CREDITONLINE Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version Yes 

Pricing Details

$0.03 per month
Free Trial Yes 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App Yes 
iPad App Yes 
Android App Yes 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/fraud-detector/

Vendor Details

Company Name

Nethone

Country

Poland

Website

nethone.com

Product Features

Fraud Detection

Access Security Management No 
Check Fraud Monitoring No 
Custom Fraud Parameters No 
For Banking No 
For Crypto No 
For Insurance Industry No 
For eCommerce No 
Internal Fraud Monitoring No 
Investigator Notes No 
Pattern Recognition No 
Transaction Approval No 

Product Features

Fraud Detection

Access Security Management No 
Check Fraud Monitoring No 
Custom Fraud Parameters No 
For Banking No 
For Crypto No 
For Insurance Industry No 
For eCommerce No 
Internal Fraud Monitoring No 
Investigator Notes No 
Pattern Recognition No 
Transaction Approval No 

KYC

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

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