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 +1,33 @@
---
name: implementing-mitre-attack-coverage-mapping
description: Implement MITRE ATT&CK coverage mapping to identify detection gaps, prioritize rule development, and measure SOC detection maturity against adversary techniques.
description: Implement MITRE ATT&CK coverage mapping to identify detection gaps, prioritize rule development, and measure
SOC detection maturity against adversary techniques.
domain: cybersecurity
subdomain: soc-operations
tags: [mitre-attack, detection-coverage, gap-analysis, attack-navigator, soc, detection-engineering]
version: "1.0"
tags:
- mitre-attack
- detection-coverage
- gap-analysis
- attack-navigator
- soc
- detection-engineering
version: '1.0'
author: mahipal
license: Apache-2.0
nist_ai_rmf:
- MEASURE-2.7
- MAP-5.1
- MANAGE-2.4
atlas_techniques:
- AML.T0070
- AML.T0066
- AML.T0082
d3fend_techniques:
- Token Binding
- Restore Access
- Application Protocol Command Analysis
- Password Authentication
- Reissue Credential
---
# Implementing MITRE ATT&CK Coverage Mapping