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
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---
name: implementing-endpoint-dlp-controls
description: >
Implements endpoint Data Loss Prevention (DLP) controls to detect and prevent sensitive data
exfiltration through email, USB, cloud storage, and printing. Use when deploying DLP agents,
creating content inspection policies, or preventing unauthorized data movement from endpoints.
Activates for requests involving DLP, data exfiltration prevention, content inspection, or
sensitive data protection on endpoints.
description: 'Implements endpoint Data Loss Prevention (DLP) controls to detect and prevent sensitive data exfiltration through
email, USB, cloud storage, and printing. Use when deploying DLP agents, creating content inspection policies, or preventing
unauthorized data movement from endpoints. Activates for requests involving DLP, data exfiltration prevention, content inspection,
or sensitive data protection on endpoints.
'
domain: cybersecurity
subdomain: endpoint-security
tags: [endpoint, DLP, data-loss-prevention, data-protection, content-inspection]
tags:
- endpoint
- DLP
- data-loss-prevention
- data-protection
- content-inspection
version: 1.0.0
author: mahipal
license: Apache-2.0
atlas_techniques:
- AML.T0024
- AML.T0056
nist_ai_rmf:
- GOVERN-1.1
- MEASURE-2.7
- MANAGE-3.1
- MAP-5.1
- MANAGE-2.4
---
# Implementing Endpoint DLP Controls