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.
This commit is contained in:
mukul975
2026-04-06 01:55:37 +02:00
parent c15f73db46
commit ef27f026cb
209 changed files with 3959 additions and 3379 deletions
@@ -1,12 +1,30 @@
---
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.
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"
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
---
# Implementing AWS Macie for Data Classification