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-runtime-security-with-tetragon
description: Implement eBPF-based runtime security observability and enforcement in Kubernetes clusters using Cilium Tetragon for kernel-level threat detection and policy enforcement.
description: Implement eBPF-based runtime security observability and enforcement in Kubernetes clusters using Cilium Tetragon
for kernel-level threat detection and policy enforcement.
domain: cybersecurity
subdomain: container-security
tags: [tetragon, ebpf, runtime-security, kubernetes, cilium, container-security, observability, kernel-security, cncf]
version: "1.0"
tags:
- tetragon
- ebpf
- runtime-security
- kubernetes
- cilium
- container-security
- observability
- kernel-security
- cncf
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
---
# Implementing Runtime Security with Tetragon