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Amazon Fraud Detector - ML Fraud Detection

Amazon Fraud Detector is an ML service for detecting online fraud in real-time.

Machine Learning
This service is deprecated or retired

Amazon Fraud Detector has been in maintenance mode since November 7, 2025 and is closed to new customers.

Pricing Model Pay per prediction
Availability Select regions
Data Sovereignty EU regions available
Reliability 99.9% availability SLA

What is Amazon Fraud Detector?

Amazon Fraud Detector is a fully managed machine learning service for detecting fraudulent online activities. The service uses the same technology that Amazon.com uses for fraud detection. You train models with your historical data and receive real-time risk scores for new transactions.

Core Features

  • Automatic Model Training: ML models are trained on your data without ML expertise
  • Real-time Predictions: Millisecond response times for live transactions
  • Rule-based Decisions: Combine ML scores with business rules
  • Event Types: Specialized models for registration, login, and transactions
  • Model Explainability: Understand which factors contribute to fraud scores

Typical Use Cases

Payment Fraud: Assess fraud risk at checkout in real-time. Block suspicious transactions or request additional authentication.

Account Takeover: Detect suspicious logins based on device, location, and behavior patterns. Protect customer accounts from takeover.

Fake Accounts: Identify fraudulent registrations at signup. Prevent abuse of promotions and new customer offers.

Benefits

  • Fast implementation without ML team
  • Scales automatically with transaction volume
  • Continuous improvement through feedback loop
  • Reduces fraud while minimizing false positives

Integration with innFactory

As an AWS Reseller, innFactory supports you with Amazon Fraud Detector: data preparation, model training, integration into e-commerce systems, and optimization of decision logic for your risk profile.

Typical Use Cases

Payment fraud
Account takeover
Fake accounts
Loyalty program abuse

Frequently Asked Questions

Do I need my own fraud data for training?

Yes, Fraud Detector requires historical transaction data with labels (Fraud/Legitimate). Alternatively, you can start with Amazon-owned models and add your own data later.

How fast are the predictions?

Fraud Detector delivers predictions in milliseconds for real-time decisions during checkout, login, or registration.

What are Detector versions?

Detector versions enable A/B testing of different models. You can deploy new versions in parallel and gradually redirect traffic.

How does Fraud Detector differ from SageMaker?

Fraud Detector is a specialized service for fraud detection with pre-trained models. SageMaker offers more flexibility for custom ML but requires more expertise.

Note: All product information on this page has been compiled with care, but is provided without guarantee and may be outdated or incomplete. Cloud services evolve rapidly — features, pricing, SLAs, and availability change frequently. Authoritative and up-to-date information can only be found on the official product page of AWS (official documentation). This page does not represent an offer by AWS.

AWS Cloud Expertise

innFactory is an AWS Reseller with certified cloud architects. We provide consulting, implementation, and managed services for AWS.

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