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feat: enrich 209 skills with MITRE ATLAS, D3FEND, and NIST AI RMF frontmatter
Added structured security framework mappings to SKILL.md frontmatter across all applicable skills: - atlas_techniques: MITRE ATLAS v5.5 AML.TXXXX IDs (81 skills, AI-targeted attack techniques) - d3fend_techniques: MITRE D3FEND v1.3 defensive technique labels (139 skills, mapped from ATT&CK IDs) - nist_ai_rmf: NIST AI RMF 1.0 subcategory IDs (85 skills, AI risk management functions) Also updates ATTACK_COVERAGE.md with coverage statistics for all three frameworks.
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---
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name: implementing-aws-macie-for-data-classification
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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.
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description: Implement Amazon Macie to automatically discover, classify, and protect sensitive data in S3 buckets using machine
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learning and pattern matching for PII, financial data, and credentials detection.
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domain: cybersecurity
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subdomain: cloud-security
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tags: [aws, macie, data-classification, s3, pii, sensitive-data, dlp, compliance]
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version: "1.0"
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tags:
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- aws
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- macie
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- data-classification
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- s3
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- pii
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- sensitive-data
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- dlp
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- compliance
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version: '1.0'
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author: mahipal
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license: Apache-2.0
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atlas_techniques:
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- AML.T0043
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- AML.T0018
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nist_ai_rmf:
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- GOVERN-1.1
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- GOVERN-4.2
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- MAP-2.3
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- MEASURE-2.7
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- MEASURE-2.5
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---
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# Implementing AWS Macie for Data Classification
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