

Amazon Fraud Detector is no longer open to new customers as of November 7, 2025. For capabilities similar to Amazon Fraud Detector, explore Amazon SageMaker, AutoGluon, and AWS WAF.

# Amazon Fraud Detector availability change
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Thank you for your interest in Amazon Fraud Detector. After careful consideration, we have made the decision to no longer accept new customers as of November 7th, 2025.

If you're looking for a fraud detection solution, we recommend AutoGluon, which is an open-source automated machine learning (AutoML) library. More details are available at the [AutoGluon website](https://auto.gluon.ai/stable/index.html) and the [AWS Open Source Blog](https://aws.amazon.com/blogs/opensource/machine-learning-with-autogluon-an-open-source-automl-library/). The AutoGluon Fraud Detection notebook can be found [here](https://www.kaggle.com/code/jaquelinenoonan/autogluon-on-fraud-detection/notebook) on Kaggle. A general framework notebook is [here](https://docs.aws.amazon.com/sagemaker/latest/dg/autogluon-tabular.html) for Amazon SageMaker AI notebook. After training AutoGluon models, you can use SageMaker AI for deploying models (more information [here](https://auto.gluon.ai/dev/tutorials/cloud_fit_deploy/cloud-aws-sagemaker-deployment.html)). AWS also has a [workshop](https://catalog.us-east-1.prod.workshops.aws/workshops/f440a5f2-c806-4a9f-b472-aab4cecf1391/en-US) built to help you set up real-time payment processing architecture.

If you're using Amazon Fraud Detector for account creation fraud use cases, can also consider using [AWS WAF](https://aws.amazon.com/waf/) Fraud Control. This feature helps protect login and sign-up pages against attacks, such as credential stuffing, credential cracking, and fake account creation attacks. The current fraud-detection capability of WAF is based on managed rules and not machine Learning models.

If you have additional questions, contact [AWS Support](https://aws.amazon.com/support).

For information on migration, see [Migrating event data stored in Amazon Fraud Detector](https://docs.aws.amazon.com/frauddetector/latest/ug/storing-event-data-afd.html).