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

23 lines
693 B
Markdown

# Workflows - AWS GuardDuty Findings Automation
## Automated Response Workflow
```
1. GuardDuty detects threat → Generates finding
2. EventBridge receives finding event
3. EventBridge routes to Lambda based on severity/type
4. Lambda executes automated response:
- EC2: Quarantine instance, snapshot volumes
- IAM: Deactivate keys, apply deny policy
- S3: Block public access, enable versioning
5. SNS notifies security team
6. Finding synced to Security Hub
7. Analyst reviews and confirms actions
```
## Triage Workflow
```
1. HIGH (7-8.9): Immediate auto-response + page on-call
2. MEDIUM (4-6.9): Auto-notify + queue for review
3. LOW (1-3.9): Log and batch review weekly
```