This Guidance demonstrates how you can mitigate fraudulent attacks and minimize onboarding friction for legitimate customers through a streamlined facial identity-based authentication user interface.

Architecture Diagram

Download the architecture diagram PDF 

Sample Code

Start building with this sample code. Learn how to use Amazon Rekognition to assist with identity verification.

AWS Machine Learning Blog
Accelerate your identity verification projects using AWS Amplify and Amazon Rekognition sample implementations
Amazon Rekognition allows you to mitigate fraudulent attacks and minimize onboarding friction for legitimate customers through a streamlined identity verification process. This can result in an increase in customer trust and safety. 
 
This post demonstrates how you can use Amazon Rekognition, along with other AWS services, to implement identity verification. 
Read the full blog post 

Well-Architected Pillars

The AWS Well-Architected Framework helps you understand the pros and cons of the decisions you make when building systems in the cloud. The six pillars of the Framework allow you to learn architectural best practices for designing and operating reliable, secure, efficient, cost-effective, and sustainable systems. Using the AWS Well-Architected Tool, available at no charge in the AWS Management Console, you can review your workloads against these best practices by answering a set of questions for each pillar.

The architecture diagram above is an example of a Solution created with Well-Architected best practices in mind. To be fully Well-Architected, you should follow as many Well-Architected best practices as possible.

Disclaimer

The sample code; software libraries; command line tools; proofs of concept; templates; or other related technology (including any of the foregoing that are provided by our personnel) is provided to you as AWS Content under the AWS Customer Agreement, or the relevant written agreement between you and AWS (whichever applies). You should not use this AWS Content in your production accounts, or on production or other critical data. You are responsible for testing, securing, and optimizing the AWS Content, such as sample code, as appropriate for production grade use based on your specific quality control practices and standards. Deploying AWS Content may incur AWS charges for creating or using AWS chargeable resources, such as running Amazon EC2 instances or using Amazon S3 storage.