Whether you’re working with documents, spreadsheets, photos, videos, or other digital content, keeping your business data secure and private can be a major concern in today’s digital world. If your private data isn’t secure, the consequences can range from annoying to disastrous. That’s why Amazon has created Amazon Macie. As an AWS service that leverages machine learning algorithms to analyze your content, so you don’t have to, Amazon Macie can spot potential problems with your business data and even help you keep track of who has access to it at any time.
What is Amazon Macie?
Amazon Macie is a manageable service for securing sensitive data in Amazon S3. The process is implemented by finding, categorization, and securing sensitive data in AWS. AWS customers will benefit from Macie’s easy-to-use interface and integration with other AWS services. For example, customers can use Amazon S3 access control lists (ACLs) to protect their Amazon EBS snapshots or use Amazon EC2 tags to classify customer data for protection automatically.
Reducing the Risk of Breaches
It’s no secret that cyber threats are a growing concern for businesses of all sizes. But with recent data breaches at companies like Equifax and Target, it’s clear that everyone must take action now. Amazon Macie is an intelligence-driven security service that helps you understand your data access risks—and control them. Let’s now look over the work.
How Does it Work?
Amazon Macie helps in driving sensitive data in a cost-efficient method of using the concept of machine learning and pattern matching. After it finds your sensitive data, it monitors and protects that data going forward.
What Do You Mean by Sensitive Data?
Macie can help you protect three types of sensitive data: Personally Identifiable Information (PII), Protected Health Information (PHI), and intellectual property. PII includes identification information, such as names, addresses, social security numbers, etc. PHI includes health information such as medical records or lab results. IP includes anything related to trading secrets or patents, including source code, design documents, schematics, blueprints, and diagrams.
What Does Amazon Macie Protect?
Amazon Macie automatically discovers all Amazon S3 buckets owned by your AWS account. Each bucket will determine if there is any PII, PHI, or IP present and then monitor that bucket going forward. Macie also allows you to define custom rules to protect specific objects based on their content type. For example, if you have an object containing credit card information but don’t want Macie to monitor it because it doesn’t contain PII or PHI, then you can create a custom rule just for that object type.
Finally, Amazon Macie will send alerts when it detects new objects containing sensitive data in your buckets after they’ve been discovered and protected initially. Alerts will include details on what was added, where it was added from, and whether Macie detected any change in access permissions or content type since the initial discovery.
How Can I Use it?
Today, businesses can’t afford loss of security to their data. Amazon Macie is designed to keep your data safe and fully protected, so you can focus on running your business instead of worrying about unauthorized access or accidental leaks. With a few simple clicks in AWS Management Console, you can train Macie using example data from an existing application.
What are Some notables?
If you’re setting up Amazon Macie, there are a few notables to look over.
First, it only works with EBS snapshots and not EBS volumes, meaning if you’re using EBS volumes to store data, don’t set up Amazon Macie.
Second, Macie currently supports AWS KMS-encrypted objects but not customer-managed keys (CMKs). And third, it doesn’t support S3 buckets or Glacier vaults.
Security vs. Privacy
The benefits of Amazon Macie are not just for security teams. It could be a viable solution if you’re looking for a way to increase employee productivity or gain deeper insights into your business. Many employees feel that data privacy is important, especially in an office environment where sensitive information is shared frequently, but it’s also important to ensure that sensitive data isn’t left vulnerable.
So what do you think?
To prevent these mishaps, you need a safe and secure way to store your sensitive data. That’s where Amazon Macie comes in. It uses machine learning and pattern matching to discover and protect your sensitive data in AWS. If that sounds like mumbo jumbo. Don’t worry. Let me break this explanation to you.
Amazon Macie is designed to help you understand how your data is being used in AWS, so you can ensure it stays safe. Macie can be considered an auditor for your AWS environment—it helps keep track of who is accessing what resources, when they accessed them, and how they accessed them. It lets you see which resources are most commonly accessed together (i.e., which ones might be related) so that you can focus on those areas first.
The post should describe how data security and privacy are a growing concern for businesses of all sizes. The post should also provide a brief overview of Amazon Macie, including its work, what it does, and why it’s useful. I am summarizing it for you.
Amazon Macie is a manageable service for protecting sensitive data in Amazon S3. The process is implemented by finding, categorization, and securing sensitive data in AWS.
Macie uses the concept of machine learning and pattern matching for finding sensitive data in the Amazon web service.
Personally Identifiable Information (PII), Protected Health Information (PHI), and intellectual property are three types of sensitive data that can be secured using Macie.
If you’re setting up Macie, keep a few notables in mind. First, it only works with EBS snapshots and not EBS volumes, meaning if you’re using EBS volumes to store data, don’t set up Amazon Macie. Second, Macie currently supports AWS KMS-encrypted objects but not customer-managed keys (CMKs). And third, it doesn’t support S3 buckets or Glacier vaults.