Tag: Sensitive Data Discovery

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 […]

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 […]

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 […]

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 […]

February 13, 2024: We’ve updated this post to show you how to configure Macie to assume an IAM role when you configure Macie to preview sensitive data in findings. Security teams use Amazon Macie to discover and protect sensitive data, such as names, payment card data, and AWS credentials, in Amazon Simple Storage Service (Amazon […]

The amount of data available to be collected, stored and processed within an organization’s AWS environment can grow rapidly and exponentially. This increases the operational complexity and the need to identify and protect sensitive data. If your security teams need to review and remediate security risks manually, it would either take a large team or […]