implementing-aws-macie-for-data-classification

name	implementing-aws-macie-for-data-classification
description	Implement Amazon Macie to automatically discover, classify, and protect sensitive data in S3 buckets using machine learning and pattern matching for PII, financial data, and credentials detection.
domain	cybersecurity
subdomain	cloud-security
tags	["aws","macie","data-classification","s3","pii","sensitive-data","dlp","compliance"]
version	1.0
author	mahipal
license	Apache-2.0
atlas_techniques	["AML.T0043","AML.T0018"]
nist_ai_rmf	["GOVERN-1.1","GOVERN-4.2","MAP-2.3","MEASURE-2.7","MEASURE-2.5"]
nist_csf	["PR.IR-01","ID.AM-08","GV.SC-06","DE.CM-01"]
mitre_attack	["T1078.004","T1530","T1537","T1580","T1003"]
source	https://github.com/mukul975/Anthropic-Cybersecurity-Skills
source_commit	04450304b12645cb2b974ab96d28c0664758a88d
note	Vendored verbatim from an external Apache-2.0 security-skill library, pinned by commit. Exceeds the internal 300-line skill guideline (agent-code-constraints.md) -- kept as-is because this is vendored reference material (forensics/threat-intel procedure), not Yana AI-authored content, and trimming would damage technical accuracy.

Implementing AWS Macie for Data Classification

Overview

Amazon Macie is a fully managed data security and privacy service that uses machine learning and pattern matching to discover and protect sensitive data in Amazon S3. Macie automatically evaluates your S3 bucket inventory on a daily basis and identifies objects containing PII, financial information, credentials, and other sensitive data types. It provides two discovery approaches: automated sensitive data discovery for broad visibility and targeted discovery jobs for deep analysis.

When to Use

• When deploying or configuring implementing aws macie for data classification capabilities in your environment
• When establishing security controls aligned to compliance requirements
• When building or improving security architecture for this domain
• When conducting security assessments that require this implementation

Prerequisites

• AWS account with S3 buckets containing data to classify
• IAM permissions for Macie service configuration
• AWS Organizations setup (for multi-account deployment)
• S3 buckets in supported regions

Enable Macie

Via AWS CLI

# Enable Macie in the current account/region
aws macie2 enable-macie

# Verify Macie is enabled
aws macie2 get-macie-session

# Enable automated sensitive data discovery
aws macie2 update-automated-discovery-configuration \
  --status ENABLED

Via Terraform

resource "aws_macie2_account" "main" {}

resource "aws_macie2_classification_export_configuration" "main" {
  depends_on = [aws_macie2_account.main]

  s3_destination {
    bucket_name = aws_s3_bucket.macie_results.id
    key_prefix  = "macie-findings/"
    kms_key_arn = aws_kms_key.macie.arn
  }
}

Configure Discovery Jobs

Create a classification job for specific buckets

aws macie2 create-classification-job \
  --job-type ONE_TIME \
  --name "pii-scan-production-buckets" \
  --s3-job-definition '{
    "bucketDefinitions": [{
      "accountId": "123456789012",
      "buckets": [
        "production-data-bucket",
        "customer-records-bucket"
      ]
    }]
  }' \
  --managed-data-identifier-selector ALL

Create a scheduled recurring job

aws macie2 create-classification-job \
  --job-type SCHEDULED \
  --name "weekly-sensitive-data-scan" \
  --schedule-frequency-details  \
  --s3-job-definition