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

22 lines
668 B
Markdown

# Standards - AWS GuardDuty Findings Automation
## MITRE ATT&CK Mapping
- TA0001 Initial Access: UnauthorizedAccess findings
- TA0003 Persistence: Persistence:IAMUser findings
- TA0005 Defense Evasion: Stealth findings
- TA0006 Credential Access: CredentialAccess findings
- TA0010 Exfiltration: Exfiltration findings
- TA0040 Impact: CryptoCurrency/Trojan findings
## NIST 800-53
- IR-4: Incident Handling
- IR-5: Incident Monitoring
- SI-4: System Monitoring
- AU-6: Audit Record Review
## AWS Security Best Practices
- Enable GuardDuty in all regions
- Configure multi-account with Organizations
- Publish findings every 15 minutes
- Integrate with Security Hub