New security service uses machine learning to classify
sensitivity of customers’ data in Amazon S3 and then monitor and
report on risks and anomalous access
Autodesk, Edmunds, and Netflix among the customers using Amazon
Macie
Today, Amazon Web Services, Inc. (AWS), an Amazon.com
company (NASDAQ: AMZN), announced Amazon Macie, a new security
service that uses machine learning to help customers prevent data
loss by automatically discovering, classifying, and protecting
sensitive data in AWS. Amazon Macie recognizes sensitive data such
as personally identifiable information (PII) or intellectual
property, and provides customers with dashboards and alerts that
give visibility into how this data is being accessed or moved. The
fully managed service continuously monitors data access activity
for anomalies, and generates detailed alerts when it detects risk
of unauthorized access or inadvertent data leaks. Today, Amazon
Macie is available to protect data stored in Amazon Simple Storage
Service (Amazon S3), with support for additional AWS data stores
coming later this year. Customers can enable Amazon Macie from the
AWS Management Console, and pay only for the GBs of Amazon S3
content classified and the AWS CloudTrail events analyzed, with no
upfront costs or software purchases required. To get started with
Amazon Macie, visit: https://aws.amazon.com/macie.
As organizations continue to generate growing volumes of data,
it has become increasingly difficult, expensive, and time consuming
for security teams to find and protect sensitive information
scattered throughout the enterprise. Existing security tools
designed to address this challenge generally require customers to
develop and frequently update complex data classifications, which
can only account for known risks and often generate many extraneous
or inaccurate alerts. Amazon Macie automates these labor-intensive
processes, using machine learning to better understand where an
organization’s sensitive information is located and how it’s
typically accessed, including user authentication, locations, and
times of access. After a baseline is established, Amazon Macie
actively monitors for anomalies that indicate risks and/or
suspicious behavior, such as large quantities of source code being
downloaded, credentials being stored in an unsecure manner, or
sensitive data that a customer has accidentally made externally
accessible. The Amazon Macie console puts the most important
information front and center with highly accurate alerts and
detailed recommendations for how to resolve issues. Amazon Macie
also gives customers the ability to easily define and customize
automated remediation actions, such as resetting access control
lists or triggering password reset policies.
“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, Chief Information Security Officer, Amazon
Web Services. “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.”
Autodesk is a leader in 3D design, engineering and entertainment
software. “Amazon Macie is easy to use and gave us valuable
information almost instantaneously,” said Anmol Misra, Director of
Cloud Security & Compliance, Autodesk. “More importantly, it
delivered accurate, informative alerts that we can take action
on.”
Edmunds.com offers detailed, constantly updated information
about vehicles to 20 million monthly visitors. “Amazon Macie is
enabling us to achieve a completely new level of confidence in the
security of our infrastructure,” said Ajit Zadgaonkar, Executive
Director, Infrastructure and Engineering Operations, Edmunds.com.
“The granular level of inspection and intelligence that Amazon
Macie applies is giving us continuous insights into areas of our
cloud infrastructure and practices, enabling us to achieve things
that would have been unwieldy or even not possible until now.”
Netflix is the world’s leading internet television network with
104 million members in over 190 countries enjoying more than 125
million hours of TV shows and movies per day. “The security of our
customers’ data is a top priority for Netflix, and we’ve invested
substantial resources to build tools that protect sensitive
information against unauthorized access or leaks,” said Patrick
Kelley, Senior Cloud Security Engineer, Netflix. “Since we started
using Amazon Macie, we’ve found that it is flexible enough to solve
a range challenges that would have previously required us to write
custom code or build internal tools, such as securing PII and
alerting us to access anomalies, helping us move fast with
confidence.”
Amazon Macie can send all findings to Amazon CloudWatch Events
and will support API endpoints through the AWS SDK later this year,
allowing for robust interoperability with third-party solutions.
Planned integrations include solutions from leading providers such
as Palo Alto Networks, Splunk, Trend Micro, and more, allowing
customers to easily incorporate intelligence from Amazon Macie into
their existing security workflows for deeper analysis and
forensics.
About Amazon Web Services
For 11 years, Amazon Web Services has been the world’s most
comprehensive and broadly adopted cloud platform. AWS offers over
90 fully featured services for compute, storage, networking,
database, analytics, application services, deployment, management,
developer, mobile, Internet of Things (IoT), Artificial
Intelligence (AI), security, hybrid, and enterprise applications,
from 44 Availability Zones (AZs) across 16 geographic regions in
the U.S., Australia, Brazil, Canada, China, Germany, India,
Ireland, Japan, Korea, Singapore, and the UK. AWS services are
trusted by millions of active customers around the world —
including the fastest growing startups, largest enterprises, and
leading government agencies — to power their infrastructure, make
them more agile, and lower costs. To learn more about AWS, visit
https://aws.amazon.com.
About Amazon
Amazon is guided by four principles: customer obsession rather
than competitor focus, passion for invention, commitment to
operational excellence, and long-term thinking. Customer reviews,
1-Click shopping, personalized recommendations, Prime, Fulfillment
by Amazon, AWS, Kindle Direct Publishing, Kindle, Fire tablets,
Fire TV, Amazon Echo, and Alexa are some of the products and
services pioneered by Amazon. For more information, visit
www.amazon.com/about and follow @AmazonNews.
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