AWS Architecture Blog
Category: Security, Identity, & Compliance
How a global payment processor preserved AWS RAM shares and Lake Formation permissions during an AWS Organizations migration
When AWS accounts move between organizations, organization-bound AWS RAM resource shares break and control-plane access is lost. Learn how a global payment processor used temporary bridge shares to preserve AWS Lake Formation permissions across a 382-account AWS Organizations migration, then restored the original shares as the durable source of truth.
Automate custom PII detection at scale with Amazon Macie and Step Functions
Organizations in regulated industries like financial services, insurance, healthcare, and government ingest large volumes of data containing personally identifiable information (PII). Your applications, claims processing systems, partner data feeds, and internal workflows produce files that may include names, addresses, Social Security numbers, and domain-specific identifiers such as policy numbers, member IDs, and medical record numbers. […]
How Mapfre Insurance modernized fraud claims with Amazon EMR Serverless
Insurance fraud remains a significant challenge for the insurance industry because fraudulent claims can increase loss costs, reduce trust, and consume investigation capacity that could otherwise be focused on serving customers. Traditional fraud detection approaches typically rely on rules-based controls, manual investigation triggers, historical claim patterns, and structured-data-only analysis. These approaches are useful for known […]
Dual-token authentication for Nakama game servers with Amazon Cognito on AWS
In this post, you learn how to configure an Amazon Cognito User Pool for SRP-based game client authentication with no client secret. You will implement a Go runtime hook that validates Cognito JWTs and bridges player identity to Nakama sessions.
Modernizing financial analytics with Amazon SageMaker Unified Studio
Avanse Financial Services, India’s leading education loan providers, migrated to a cloud-native lakehouse architecture using Amazon SageMaker Unified Studio, which unified their data engineering, analytics, and artificial intelligence (AI) workflows in a single governed environment on AWS. In this post, we walk through their migration journey so you can adapt their approach to your own environment.
Reducing SMS OTP fraud with Vonage network-powered solutions and Amazon Cognito
In this post, we show how Vonage network-powered solutions work with Amazon Cognito to enhance many mobile-first use cases with network-level identity verification. Vonage network-powered solutions are a composable stack of real-time mobile operator intelligence, silent authentication, and integrated fraud protection, which uses the CUSTOM_AUTH flow to complete identity verification in under 5 seconds, with zero user interaction.
Automating contract intelligence with Doczy.ai™ on AWS
In this post, we show you how Doczy.ai™ uses generative AI on AWS to automate contract intelligence at scale, transforming unstructured documents into structured, actionable insights, so organizations can automate critical business processes and unlock the full value of their data.
Building a scalable user search layer on top of Amazon Cognito
In this post, we show how to build a comprehensive scalable user search layer on top of Amazon Cognito using AWS Lambda, Amazon DynamoDB, and Amazon OpenSearch Service.
Cyber recovery on AWS: A reference approach for recovering from ransomware and destructive events
October 2026: This post was reviewed and updated for accuracy. Ransomware and other destructive events can compromise not just your production environment but the backups, credentials, and infrastructure you depend on for recovery. Cyber recovery addresses this case: restoring workloads to a known-good state when you cannot trust your own recovery inputs. In this post, […]
Choosing between single or multiple organizations in AWS Organizations
Organizations face critical architectural decisions that can impact their operations for years to come such as: Is it better to maintain a single organization or implement multiple organizations? In this post, I explain the key advantages and disadvantages of both approaches and the scenarios where each model fits best.









