--- name: implementing-aws-macie-for-data-classification-a69cc3c3ef4f 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 --- # 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 ```bash # 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 ```hcl 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 ```bash 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 ```bash 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 ```bash 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 ```bash 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 ```bash 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 ```bash # 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 ```bash aws macie2 get-findings \ --finding-ids '["finding-id-1", "finding-id-2"]' ``` ### Export findings to Security Hub ```bash # Macie automatically publishes findings to Security Hub # Verify integration: aws macie2 get-macie-session --query 'findingPublishingFrequency' ``` ## EventBridge Integration for Automated Response ```json { "source": ["aws.macie"], "detail-type": ["Macie Finding"], "detail": { "severity": { "description": ["High", "Critical"] } } } ``` ### Lambda function for automated remediation ```python 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 ```bash # From the management account aws macie2 enable-organization-admin-account \ --admin-account-id 111111111111 ``` ### Add member accounts ```bash # From the administrator account aws macie2 create-member \ --account '{"accountId": "222222222222", "email": "security@example.com"}' ``` ## Monitoring Macie Operations ### Usage statistics ```bash aws macie2 get-usage-statistics \ --filter-by '[{"comparator": "GT", "key": "accountId", "values": []}]' \ --sort-by '{"key": "accountId", "orderBy": "ASC"}' ``` ### Classification job status ```bash 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 --- Source attribution: 26zl Original project: https://github.com/26zl/cybersec-toolkit/blob/2ad2519d437cda1f8a822ef7adc336993601a5ac/.claude/skills/implementing-aws-macie-for-data-classification/SKILL.md License: Apache-2.0 License information: https://www.apache.org/licenses/LICENSE-2.0 Original upstream instructions; downloaded from Mega AI Hub. ## 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See the License for the specific language governing permissions and limitations under the License. # Mega AI Hub resource metadata Creator / publisher: 26zl Original project: https://github.com/26zl/cybersec-toolkit/blob/2ad2519d437cda1f8a822ef7adc336993601a5ac/.claude/skills/implementing-aws-macie-for-data-classification/SKILL.md Attribution basis: Source repository record Fields of work: Data & Analytics, Development & Engineering, Legal Roles: Compliance Officer, Data Analyst, ML / AI Engineer Specialties: API, Backend Tools: AWS, Terraform Country applicability: Country not specified Classification basis: Source catalog labels Instruction SHA-256: cd36ba76d65a58be0ec0e2c8f0fdc6bec69a71e250b974a988d8734351fd0dbe