Amazon Fraud Detector Logo
Amazon Fraud Detector Logo
Amazon

Amazon Fraud Detector

Composite Score
7.6 /10
CX Score
8.1 /10
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Amazon Fraud Detector
7.6 /10

What is Amazon Fraud Detector?

Build, deploy, and manage fraud detection models without previous machine learning (ML) experience. Gain insights from your historical data, plus 20+ years of Amazon experience, to construct an accurate, customized fraud detection model. Start detecting fraud immediately, easily enhance models with customized business rules, and deploy results to generate critical predictions.

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Amazon Fraud Detector Ratings

Real user data aggregated to summarize the product performance and customer experience.

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

85 Likeliness to Recommend

100 Plan to Renew

83 Satisfaction of Cost Relative to Value


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Emotional Footprint Overview

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

+98 Net Emotional Footprint

The emotional sentiment held by end users of the software based on their experience with the vendor. Responses are captured on an eight-point scale.

How much do users love Amazon Fraud Detector?

0% Negative
0% Neutral
100% Positive

Pros

  • Helps Innovate
  • Continually Improving Product
  • Reliable
  • Performance Enhancing

Feature Ratings

Average 82

Analytics and Reporting

89

Anti Money Laundering

86

Policy Management

86

Stress Tests

84

Fraud Management

83

Asset Liability Management

83

Transaction Monitoring

83

Regulatory Compliance and Audit

80

Cheque Management

80

Market Risk Management

78

Credit Risk Management

78

Vendor Capability Ratings

Average 81

Ease of Implementation

86

Availability and Quality of Training

86

Breadth of Features

83

Quality of Features

83

Business Value Created

83

Ease of IT Administration

81

Ease of Customization

78

Vendor Support

78

Usability and Intuitiveness

78

Product Strategy and Rate of Improvement

78

Ease of Data Integration

75

Amazon Fraud Detector Reviews

Cardi G.

  • Role: Consultant
  • Industry: Retail
  • Involvement: End User of Application
Validated Review
Verified Reviewer

Submitted Apr 2025

Amazon Offers Many Services

Likeliness to Recommend

8 /10

What differentiates Amazon Fraud Detector from other similar products?

It's nice that you can deal with Amazon for many services, that way all information is together in one place and log in is easier. Dealing with Amazon in the past made it seem easier to choose them for their fraud detector versus other options.

What is your favorite aspect of this product?

The customer service team is VERY kind and helpful!

What do you dislike most about this product?

Sometimes there is a long time to wait on hold when contacting customer service, I have been disconnected before, so hoping there can be a better and easier way to contact help if needed.

What recommendations would you give to someone considering this product?

If you use Amazon for other business tools, keep expanding and use them for as much as you can.

Pros

  • Helps Innovate
  • Reliable
  • Trustworthy
  • Unique Features

Gracious C.

  • Role: Finance
  • Industry: Finance
  • Involvement: End User of Application
Validated Review
Verified Reviewer

Submitted Feb 2026

Integrity Specialist

Likeliness to Recommend

7 /10

What differentiates Amazon Fraud Detector from other similar products?

Fraud Detector uses the massive power of machine learning to help us identify suspicious loan applications before they ever reach our underwriting team

What is your favorite aspect of this product?

I appreciate how I can define specific business rules that automatically trigger a manual review when an application exceeds a certain risk threshold.

What do you dislike most about this product?

The platform also requires a certain level of technical expertise to interpret the model performance metrics and set the correct risk thresholds

What recommendations would you give to someone considering this product?

Avoid it if your application volume is low and your verification process is primarily manual and face-to-face

Pros

  • Reliable
  • Efficient Service
  • Client Friendly Policies
  • Generous Negotitation

Cons

  • Under Delivered

Simran P.

  • Role: Consultant
  • Industry: Insurance
  • Involvement: IT Development, Integration, and Administration
Validated Review
Verified Reviewer

Submitted Nov 2025

Powerful Fraud Detection, But Limited Future Avail

Likeliness to Recommend

9 /10

What differentiates Amazon Fraud Detector from other similar products?

- Automated Machine Learning (AutoML) - Ease of Use for Non-Data Scientists - Integration with AWS Ecosystem -Event-Based Detection -- Scalability & Managed Infrastructure

What is your favorite aspect of this product?

If I had to highlight one standout aspect of Amazon Fraud Detector, it would be its automated machine learning pipeline. Unlike many fraud detection tools that require heavy data science expertise or manual rule-building, Fraud Detector automatically takes care of: - Data validation (cleaning and preparing inputs) - Feature engineering (extracting useful fraud-related signals) - Algorithm selection & tuning (choosing the best ML model without manual trial-and-error) - Deployment (making the model available for real-time predictions).

What do you dislike most about this product?

The biggest drawback of Amazon Fraud Detector is its limited future availability. As of late 2025, AWS announced that it is no longer accepting new customers, which means organizations cannot start fresh implementations. Existing customers can continue using it, but anyone evaluating fraud detection solutions today must look at alternatives like Amazon SageMaker, AutoGluon, or AWS WAF.

What recommendations would you give to someone considering this product?

-Check Availability First -Evaluate Prediction Volume Carefully - Plan for Explainability Needs - Leverage AWS Ecosystem - Start with Specific Use Cases - Best suited for account creation, online payments, and guest checkout fraud. - If your needs extend to insurance claims, healthcare billing, or loyalty fraud, you may need broader platforms like NICE Actimize or Fraud.com. - Consider Long-Term Roadmap - Since the product is being phased out, think strategically:

Pros

  • Effective Service
  • Inspires Innovation
  • Caring
  • Saves Time