AWS Security Blog

Tag: PII

Amazon Macie

How to perform a proof of concept for automated discovery using Amazon Macie

Amazon Web Services (AWS) customers of various sizes across different industries are pursuing initiatives to better classify and protect the data they store in Amazon Simple Storage Service (Amazon S3). Amazon Macie helps customers identify, discover, monitor, and protect sensitive data stored in Amazon S3. However, it’s important that customers evaluate and test the capabilities […]

Amazon Macie

Detect Stripe keys in S3 buckets with Amazon Macie

Many customers building applications on Amazon Web Services (AWS) use Stripe global payment services to help get their product out faster and grow revenue, especially in the internet economy. It’s critical for customers to securely and properly handle the credentials used to authenticate with Stripe services. Much like your AWS API keys, which enable access […]

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Transforming transactions: Streamlining PCI compliance using AWS serverless architecture

Compliance with the Payment Card Industry Data Security Standard (PCI DSS) is critical for organizations that handle cardholder data. Achieving and maintaining PCI DSS compliance can be a complex and challenging endeavor. Serverless technology has transformed application development, offering agility, performance, cost, and security. In this blog post, we examine the benefits of using AWS […]

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Updated whitepaper available: Architecting for PCI DSS Segmentation and Scoping on AWS

Amazon Web Services (AWS) has re-published the whitepaper Architecting for PCI DSS Scoping and Segmentation on AWS to provide guidance on how to properly define the scope of your Payment Card Industry (PCI) Data Security Standard (DSS) workloads that are running in the AWS Cloud. The whitepaper has been refreshed to include updated AWS best […]

Amazon Macie

How to use Amazon Macie to reduce the cost of discovering sensitive data

April 3, 2023: This post had been edited to get Figure 3 updated. Amazon Macie is a fully managed data security service that uses machine learning and pattern matching to discover and help protect your sensitive data, such as personally identifiable information (PII), payment card data, and Amazon Web Services (AWS) credentials. Analyzing large volumes […]

How to query and visualize Macie sensitive data discovery results with Athena and QuickSight

February 21, 2023: We’ve updated the CREATE TABLE DDL to add the new originType field introduced as part of the Automated Sensitive Data Discovery feature of Macie. Amazon Macie is a fully managed data security service that uses machine learning and pattern matching to help you discover and protect sensitive data in Amazon Simple Storage Service (Amazon S3). With […]

Best practices: Securing your Amazon Location Service resources

Location data is subjected to heavy scrutiny by security experts. Knowing the current position of a person, vehicle, or asset can provide industries with many benefits, whether to understand where a current delivery is, how many people are inside a venue, or to optimize routing for a fleet of vehicles. This blog post explains how […]

How to use tokenization to improve data security and reduce audit scope

April 25, 2023: We’ve updated this blog post to include more security learning resources. Tokenization of sensitive data elements is a hot topic, but you may not know what to tokenize, or even how to determine if tokenization is right for your organization’s business needs. Industries subject to financial, data security, regulatory, or privacy compliance […]

How to protect sensitive data for its entire lifecycle in AWS

April 25, 2023: We’ve updated this blog post to include more security learning resources. Many Amazon Web Services (AWS) customer workflows require ingesting sensitive and regulated data such as Payments Card Industry (PCI) data, personally identifiable information (PII), and protected health information (PHI). In this post, I’ll show you a method designed to protect sensitive […]

Use Macie to discover sensitive data as part of automated data pipelines

Data is a crucial part of every business and is used for strategic decision making at all levels of an organization. To extract value from their data more quickly, Amazon Web Services (AWS) customers are building automated data pipelines—from data ingestion to transformation and analytics. As part of this process, my customers often ask how […]