Machine learning security tool also added as AWS announces two new customers.
Amazon Web Services has launched a new ETL service and a new security service that uses machine learning to classify the sensitivity of customers’ data in Amazon S3.
First up is Amazon Macie, a security service that’ll monitor and report on risks and anomalous access by using machine learning to help customers prevent data loss.
The service is said to be capable of recognising sensitive data, such as personally identifiable information, or intellectual property, and gives the user a dashboard with alerts that’ll show them how the data is being used or moved.
The service is fully managed and constantly monitors data for any anomalies, generating alerts when a risk is detected.
The service is currently available for Amazon S3 but the company will add it to further AWS data stores later in the year.
“When a customer has a significant amount of content stored in Amazon S3, identifying and classifying all of the potentially sensitive data can feel a bit like finding needles in a very large haystack — especially with monitoring tools that aren’t smart enough to effectively automate what is now a very manual process,” said Stephen Schmidt, CISO, AWS.
“Amazon Macie approaches information security in a more intelligent way. By using machine learning to understand the content and user behavior of each organization, Amazon Macie can cut through huge volumes of data with better visibility and more accurate alerts, allowing customers to focus on securing their sensitive information instead of wasting time trying to find it.”
The second product announcement is AWS Glue, an extract, transform, and load (ETL) service that is said to make it easy for customers to prepare and load their data into Amazon S3, Amazon Redshift, Amazon RDS, and databases running on Amazon EC2 for query and analysis.
The company says that data can be available for analysis in minutes, and because the service is serverless, customers will only pay for the compute resources they use while executing data preparation and loading jobs.
“AWS’s scalable, reliable cloud storage, combined with our broad range of analytics services make it easier than ever for customers to collect, store, analyze, and share data,” said Raju Gulabani, Vice President, Databases, Analytics, and AI, Amazon Web Services.
“While it’s amazing to see how much analytics are being run on AWS today, many have told us that there is one piece of the equation that is still way too hard – cleaning and preparing huge volumes of data for analysis. We developed AWS Glue to eliminate much of the undifferentiated heavy lifting involved with ETL. By cataloging all of a customer’s data and automating the ETL process, AWS Glue not only takes a lot of the hassle out of analytics. It also makes it possible for customers to store their data in as many sources as they want, and very quickly start analyzing all of it with whatever AWS service they choose.”
The AWS strategy is clearly paying off for it, given that it’s the leading public cloud player, and is signing up new customers.
FICO is said to have chosen AWS as its cloud provider, with the company migrating several core applications to the cloud provider. The company is also said to be migrating additional applications over the next three years.
Hulu has also decided to choose AWS as its cloud provider, and will use the public cloud player to launch its new OTT live TV service. Hulu is the latest media company to join AWS, with the company already boasting the likes of BBC, Channel 4, Guardian News & Media, New International, Netflix and many more on its books.