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Amazon offers a number of excellent tools to help enterprises keep their data and applications safe in the cloud. Last year, Amazon unveiled Amazon Inspector, its host-based application vulnerability assessment tool to monitor what is installed and configured on each virtual Instance. This year, it’s Amazon Macie, a security service designed to automatically discover and protect sensitive data stored in AWS.
As organizations move more of their data to Amazon’s various cloud offerings, security teams have the unenviable task of continuously tracking the data to identify, classify and protect sensitive pieces of information such as personally identifiable information (PII), personal health information (PHI), regulatory documents, API keys, secret key material and intellectual property.
Amazon Macie automates what has traditionally been a labor-intensive task by using machine learning to understand where sensitive information is stored and how it is accessed. Macie dynamically analyzes all attempts to access data and flags anomalies, such as large amounts of data being downloaded, uncommon login patterns, or data showing up in an unexpected location. Macie can alert when someone accidentally makes sensitive data externally accessible or stored credentials insecurely.
“Amazon Macie is a service powered by machine learning that can automatically discover and classify your data stored in Amazon S3. But Macie doesn’t stop there, once your data has been classified by Macie, it assigns each data...