We have collected here some useful links to help you find out if Amazon Macie is good.
Check the traffic stats of Amazon Macie on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of Amazon Macie on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of Amazon Macie's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of Amazon Macie on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
The latest comments about Amazon Macie on Reddit. This can help you find out how popualr the product is and what people think about it.
AWS offers multiple services that can detect and mask or redact sensitive data. These services include Glue, Macie, Glue DataBrew or Comprehend. They all have their best-fit use cases. - Source: dev.to / 3 months ago
Amazon Macie Amazon Macie is a data security and privacy service that automatically uses AI and ML to look in S3 for sensitive data by pattern matching. It maintains a growing list of sensitive data types, including personally identifiable information (PII) and other sensitive data types defined by data privacy regulations, such as GDPR, PCIDSS, and HIPAA. Start with a 30-day free trial. - Source: dev.to / over 2 years ago
Implement data classification procedures and techniques to separate data based on sensitivity, workload, compliance, retention. AWS Macie can help to automatically discover, classify and protect sensitive data stored in AWS. S3 lifecycle policies and Object Lock can automate retention and compliance. Developing tagging schema will help with categorizing, managing and accessing your S3 data. Use tokenization and... - Source: dev.to / almost 3 years ago
Classify data with AWS Macie and use Lifecycles in S3. - Source: dev.to / about 3 years ago
This article will go over protecting your S3 data using an Amazon Service called Macie. That's more than just securing access to your bucket. It's also about protecting your data privacy. To make it a bit fun, let's consider we're a healthcare provider company that offers general medical consultations and treatments. Because we're very good at what we do, we decided to name our practice "The pain-killer". - Source: dev.to / about 3 years ago
Hopefully it is not a damn toy (super lame when initially released) like Macie was. Source: about 3 years ago
You might give confidence to your data governance team to ensure that data privacy is maintained and customer sensitive data is protected in Amazon S3 buckets with machine learning and analyzing patterns using Amazon Macie. - Source: dev.to / over 3 years ago
However, Amazon Macie (https://aws.amazon.com/macie/) can help you to discover potential problems around PII at rest, which will go some way to preventing GDPR issues, but it isn't even half the battle, I'm afraid. Source: over 3 years ago
This post describes how to employ Amazon Macie to discover and protect sensitive data in your Amazon S3-based data lakes. Source: about 4 years ago
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