mirror of
https://github.com/SHOGGOTH-SECTOR/sica-fondt.git
synced 2026-08-01 08:30:20 +00:00
24f816b6a3
Place useful parts of the surrounding repos into sica-fondt by layer, per the
body model (Ada = membrane; brain/endocrine/capabilities/knowledge non-Ada):
- brain/ LLM reasoning + providers (dapr, hermes, MoMoA)
- capabilities/ REPRAG sidecars: hermes tools/skills, dapr tools, parallel
dispatch, A51 channels, and the OSINT cluster
- knowledge/ LORAG corpus: 754 cyber-skills, agency personas, secure-coding,
MITRE ATT&CK data
- reference/ defensive threat-reference (C3, shhbruh doc) + AdaYaml parser
License handling: AGPL sources (worldosint, advanced_evolution, mercury,
Reticulum) and GPL DeTTECT are SPEC-only clean-room/port descriptions — no
copyleft code copied. MIT/Apache/data parts copied as working trees.
Safety: shhbruh escape/persistence material and C3 covert-C2 kept as reference
only, not wired into the running organism. See CONSOLIDATION.md.
https://claude.ai/code/session_01UehUqEXXJJCsHoA4voCU5c
45 lines
989 B
Markdown
45 lines
989 B
Markdown
# MITRE ATT&CK Coverage Assessment Template
|
|
|
|
## Assessment Metadata
|
|
|
|
| Field | Value |
|
|
|---|---|
|
|
| Organization | |
|
|
| Assessment Date | |
|
|
| Assessor | |
|
|
| ATT&CK Version | v18.1 |
|
|
| SIEM Platform | |
|
|
| Total Active Rules | |
|
|
|
|
## Coverage Summary
|
|
|
|
| Metric | Value |
|
|
|---|---|
|
|
| Total Techniques Evaluated | |
|
|
| Techniques with Detection | |
|
|
| Coverage Percentage | |
|
|
| Average Detection Score | |
|
|
| Critical Gaps (Score 0) | |
|
|
|
|
## Top 10 Gap Techniques
|
|
|
|
| Priority | Technique ID | Name | Tactic | Current Score | Remediation Plan |
|
|
|---|---|---|---|---|---|
|
|
| 1 | | | | | |
|
|
| 2 | | | | | |
|
|
| 3 | | | | | |
|
|
| 4 | | | | | |
|
|
| 5 | | | | | |
|
|
|
|
## Detection Roadmap
|
|
|
|
### Q1 Goals
|
|
- [ ] Close top 5 critical gaps
|
|
- [ ] Enable missing data sources for priority techniques
|
|
- [ ] Validate top 10 existing rules with adversary emulation
|
|
|
|
### Q2 Goals
|
|
- [ ] Improve partial coverage techniques to score > 75
|
|
- [ ] Add enrichment to existing detection rules
|
|
- [ ] Implement detection-as-code pipeline
|