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"]

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 '{
    "weekly": {
      "dayOfWeek": "MONDAY"
    }
  }' \
  --s3-job-definition '{
    "bucketDefinitions": [{
      "accountId": "123456789012",
      "buckets": ["all-data-bucket"]
    }],
    "scoping": {
      "includes": {
        "and": [{
          "simpleScopeTerm": {
            "comparator": "STARTS_WITH",
            "key": "OBJECT_KEY",
            "values": ["uploads/", "documents/"]
          }
        }]
      }
    }
  }'

Custom Data Identifiers

Create a custom identifier for internal IDs

aws macie2 create-custom-data-identifier \
  --name "internal-employee-id" \
  --description "Matches internal employee ID format EMP-XXXXXX" \
  --regex "EMP-[0-9]{6}" \
  --severity-levels '[
    {"occurrencesThreshold": 1, "severity": "LOW"},
    {"occurrencesThreshold": 10, "severity": "MEDIUM"},
    {"occurrencesThreshold": 50, "severity": "HIGH"}
  ]'

Create identifier for project codes

aws macie2 create-custom-data-identifier \
  --name "project-code-identifier" \
  --description "Matches project codes in format PRJ-XXXX-XX" \
  --regex "PRJ-[A-Z]{4}-[0-9]{2}" \
  --keywords '["project", "code", "initiative"]' \
  --maximum-match-distance 50

Allow Lists

Create an allow list to suppress false positives

aws macie2 create-allow-list \
  --name "test-data-exclusions" \
  --description "Exclude known test data patterns" \
  --criteria '{
    "regex": "TEST-[0-9]{4}-[0-9]{4}-[0-9]{4}-[0-9]{4}"
  }'

Managed Data Identifiers

Macie provides 300+ managed data identifiers covering:

Category	Examples
PII	SSN, passport numbers, driver's license, date of birth, names, addresses
Financial	Credit card numbers, bank account numbers, SWIFT codes
Credentials	AWS secret keys, API keys, SSH private keys, OAuth tokens
Health	HIPAA identifiers, health insurance claim numbers
Legal	Tax identification numbers, national ID numbers

Findings Management

List findings

# Get sensitive data findings
aws macie2 list-findings \
  --finding-criteria '{
    "criterion": {
      "severity.description": {
        "eq": ["High"]
      },
      "category": {
        "eq": ["CLASSIFICATION"]
      }
    }
  }' \
  --sort-criteria '{"attributeName": "updatedAt", "orderBy": "DESC"}' \
  --max-results 25

Get finding details

aws macie2 get-findings \
  --finding-ids '["finding-id-1", "finding-id-2"]'

Export findings to Security Hub

# Macie automatically publishes findings to Security Hub
# Verify integration:
aws macie2 get-macie-session --query 'findingPublishingFrequency'

EventBridge Integration for Automated Response

{
  "source": ["aws.macie"],
  "detail-type": ["Macie Finding"],
  "detail": {
    "severity": {
      "description": ["High", "Critical"]
    }
  }
}

Lambda function for automated remediation

import boto3
import json

s3 = boto3.client('s3')
sns = boto3.client('sns')

def lambda_handler(event, context):
    finding = event['detail']
    severity = finding['severity']['description']
    bucket = finding['resourcesAffected']['s3Bucket']['name']
    key = finding['resourcesAffected']['s3Object']['key']
    sensitive_types = [d['type'] for d in finding.get('classificationDetails', {}).get('result', {}).get('sensitiveData', [])]

    if severity in ['High', 'Critical']:
        # Tag the object for review
        s3.put_object_tagging(
            Bucket=bucket,
            Key=key,
            Tagging={
                'TagSet': [
                    {'Key': 'macie-finding', 'Value': severity},
                    {'Key': 'sensitive-data', 'Value': ','.join(sensitive_types)},
                    {'Key': 'requires-review', 'Value': 'true'}
                ]
            }
        )

        # Notify security team
        sns.publish(
            TopicArn='arn:aws:sns:us-east-1:123456789012:security-alerts',
            Subject=f'Macie {severity} Finding: {bucket}/{key}',
            Message=json.dumps({
                'bucket': bucket,
                'key': key,
                'severity': severity,
                'sensitive_data_types': sensitive_types,
                'finding_id': finding['id']
            }, indent=2)
        )

    return {'statusCode': 200}

Multi-Account Deployment

Designate Macie administrator account

# From the management account
aws macie2 enable-organization-admin-account \
  --admin-account-id 111111111111

Add member accounts

# From the administrator account
aws macie2 create-member \
  --account '{"accountId": "222222222222", "email": "[e-mail]"}'

Monitoring Macie Operations

Usage statistics

aws macie2 get-usage-statistics \
  --filter-by '[{"comparator": "GT", "key": "accountId", "values": []}]' \
  --sort-by '{"key": "accountId", "orderBy": "ASC"}'

Classification job status

aws macie2 list-classification-jobs \
  --filter-criteria '{"includes": [{"comparator": "EQ", "key": "jobStatus", "values": ["RUNNING"]}]}'

References

• AWS Macie Documentation: https://docs.aws.amazon.com/macie/
• AWS Macie Pricing
• Supported File Types for Macie Analysis
• GDPR and CCPA Compliance with Macie