mirror of
https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git
synced 2026-07-20 22:40:58 +03:00
feat: add NIST CSF 2.0 nist_csf field to all 754 cybersecurity skills
Mapped every skill to NIST CSF 2.0 subcategory IDs (GV/ID/PR/DE/RS/RC functions) based on subdomain and content analysis. Restores 11 skills corrupted during prior rebase, re-enriching with ATLAS, D3FEND, NIST AI RMF, and CSF 2.0 fields. All 754 skills now carry structured mappings for all 5 security frameworks: - MITRE ATT&CK (in tags) - MITRE ATLAS v5.5 (atlas_techniques) - MITRE D3FEND v1.3 (d3fend_techniques) - NIST AI RMF 1.0 (nist_ai_rmf) - NIST CSF 2.0 (nist_csf)
This commit is contained in:
@@ -1,19 +1,25 @@
|
||||
---
|
||||
name: implementing-siem-use-case-tuning
|
||||
description: Tune SIEM detection rules to reduce false positives by analyzing alert volumes, creating whitelists, adjusting thresholds, and measuring detection efficacy metrics in Splunk and Elastic
|
||||
description: Tune SIEM detection rules to reduce false positives by analyzing alert volumes, creating whitelists, adjusting
|
||||
thresholds, and measuring detection efficacy metrics in Splunk and Elastic
|
||||
domain: cybersecurity
|
||||
subdomain: security-operations
|
||||
tags:
|
||||
- siem
|
||||
- detection-engineering
|
||||
- false-positive-reduction
|
||||
- splunk
|
||||
- elastic
|
||||
- alert-tuning
|
||||
- soc
|
||||
version: "1.0"
|
||||
- siem
|
||||
- detection-engineering
|
||||
- false-positive-reduction
|
||||
- splunk
|
||||
- elastic
|
||||
- alert-tuning
|
||||
- soc
|
||||
version: '1.0'
|
||||
author: mahipal
|
||||
license: Apache-2.0
|
||||
nist_csf:
|
||||
- DE.CM-01
|
||||
- RS.MA-01
|
||||
- GV.OV-01
|
||||
- DE.AE-02
|
||||
---
|
||||
|
||||
# Implementing SIEM Use Case Tuning
|
||||
|
||||
Reference in New Issue
Block a user