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 01:56:17 +02:00
parent c15f73db46
commit ef27f026cb
209 changed files with 3959 additions and 3379 deletions
@@ -1,12 +1,30 @@
---
name: implementing-cisa-zero-trust-maturity-model
description: Implement the CISA Zero Trust Maturity Model v2.0 across the five pillars of identity, devices, networks, applications, and data to achieve progressive organizational zero trust maturity.
description: Implement the CISA Zero Trust Maturity Model v2.0 across the five pillars of identity, devices, networks, applications,
and data to achieve progressive organizational zero trust maturity.
domain: cybersecurity
subdomain: zero-trust-architecture
tags: [zero-trust, cisa, maturity-model, federal-compliance, governance, nist-800-207, identity, devices, networks, applications, data-security]
version: "1.0"
tags:
- zero-trust
- cisa
- maturity-model
- federal-compliance
- governance
- nist-800-207
- identity
- devices
- networks
- applications
- data-security
version: '1.0'
author: mahipal
license: Apache-2.0
nist_ai_rmf:
- GOVERN-1.1
- GOVERN-1.7
- MAP-1.1
- GOVERN-4.2
- MAP-2.3
---
# Implementing CISA Zero Trust Maturity Model