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features
design
support

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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

Efficiently identify and prevent fraudulent transactions by leveraging an extensive historical data analysis. PaymentGuard employs advanced machine learning techniques to analyze a comprehensive database of customer information, which encompasses transaction details, device characteristics, and geographical locations, enabling the identification of both current and emerging fraud patterns. By recognizing these patterns, the system can forecast potential threats in real-time and send immediate notifications that can be managed through an intuitive case management system. This allows for the prompt analysis, prediction, and disruption of any suspicious payment activities without interruptions. PaymentGuard features a broad, frequently updated collection of threat models that enhance the precision of fraud detection. Its user-friendly case management platform empowers investigators to swiftly and effectively respond to any identified fraud incidents. In an industry where continuous innovation is crucial, we ensure you remain at the forefront. We are committed to advancing cutting-edge technologies such as Blockchain, artificial intelligence, and cloud computing to enhance the security and evolution of our offerings, ensuring they align with your needs. Additionally, our proactive approach to technology integration ensures that our clients can adapt to the ever-changing landscape of payment fraud prevention.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

AWS AI Services Yes 
Amazon Web Services (AWS) Yes 

Integrations

AWS AI Services No 
Amazon Web Services (AWS) No 

Pricing Details

No price information available.
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
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 No 
iPad App No 
Android App No 
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 Yes 
Live Rep (24/7) No 
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 No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/fraud-detector/

Vendor Details

Company Name

Eastnets

Country

United States

Website

www.eastnets.com/products/paymentguard

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

AML

Behavioral Analytics Yes 
Case Management Yes 
Compliance Reporting Yes 
Identity Verification Yes 
Investigation Management Yes 
PEP Screening No 
Risk Assessment Yes 
SARs No 
Transaction Monitoring Yes 
Watch List Yes 

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 

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