Amazon Macie

Service Overview
Service Name: Amazon Macie
Logo:
Tagline: Amazon Macie automate data classification and protect sensitive information across your aws workloads.
Key Features
Top Features:
Automated data discovery
Compliance ready reports
Customiza…


This content originally appeared on DEV Community and was authored by Dharshinisri G

  1. Service Overview

    Service Name: Amazon Macie

    Logo: Image description

    Tagline: Amazon Macie automate data classification and protect sensitive information across your aws workloads.

  2. Key Features

    Top Features:

    Automated data discovery
    Compliance ready reports
    Customizable alerting
    Integration with other
    Scalable monitoring
    Technical Specifications: Regions supported, data classification, durability, request limits.

  3. Use Cases

    Real-Life Applications

    Amazon IAM: Securely manage access to AWS services and resources, ensuring that only authorized users have appropriate permissions.
    AWS Security Hub: Automates security checks and centralizes security alerts, providing a comprehensive view of your security posture to facilitate swift incident response.

  4. Pricing Model

    Pricing Overview:

    Amazon Macie uses a pay-as-you-go pricing model with costs based on
    Data classification
    Inventory monitoring
    Example:
    Data processed $0.10 per gb
    Inventory monitoring $0.20 per bucket per month

  5. Comparison With Similar Services

    Competitors Or Alternatives:

    Amazon Macie Vs Microsoft Purview while both offer data classification, purview focuses more on multi-cloud environments, whereas macie specializes in s3 data.

  6. Benefits And Challenges

    Advantages :
    Highly scalable, Enhanced security, Ease of use.
    Limitations Or Challenges:

    AWS Exclusive, Costs.

  7. Real-World Example Or Case Study

    Case Study:
    A Financial Services Company Utilized Amazon Macie To Identify Sensitive PII Data Stored In Amazon S3, Ensuring Compliance With GDPR.


This content originally appeared on DEV Community and was authored by Dharshinisri G


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