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sica-fondt/knowledge/cyber-skills/skills/implementing-mitre-attack-coverage-mapping/references/standards.md
Claude 24f816b6a3
Consolidate 22 sibling repos into layered organism structure 
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
2026-06-10 06:53:01 +00:00

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Standards - MITRE ATT&CK Coverage Mapping

MITRE ATT&CK Framework

  • Current version: v18.1 (December 2025)
  • 14 Tactics, 200+ Techniques, 400+ Sub-Techniques
  • Domains: Enterprise, Mobile, ICS

Tactics (Kill Chain Order)

  1. Reconnaissance (TA0043)
  2. Resource Development (TA0042)
  3. Initial Access (TA0001)
  4. Execution (TA0002)
  5. Persistence (TA0003)
  6. Privilege Escalation (TA0004)
  7. Defense Evasion (TA0005)
  8. Credential Access (TA0006)
  9. Discovery (TA0007)
  10. Lateral Movement (TA0008)
  11. Collection (TA0009)
  12. Command and Control (TA0011)
  13. Exfiltration (TA0010)
  14. Impact (TA0040)

Detection Maturity Model

Level Description
L0 No detection capability for the technique
L1 Basic log collection for relevant data sources
L2 Detection rule deployed but not validated
L3 Validated detection with known false positive rate
L4 Automated testing and continuous validation
L5 Behavioral detection with ML-based anomaly detection

Related Frameworks

  • MITRE D3FEND (Defensive techniques)
  • MITRE ATT&CK Data Sources
  • NIST CSF Detection function
  • SANS Detection Maturity Level model