mirror of
https://github.com/SHOGGOTH-SECTOR/sica-fondt.git
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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
820 B
820 B
Workflows - Cloud Asset Inventory with Cartography
Asset Discovery Workflow
1. Deploy Neo4j → Setup graph database
2. Configure Credentials → AWS/GCP/Azure access
3. Initial Sync → Run Cartography to populate graph
4. Query Analysis → Execute security-focused Cypher queries
5. Attack Path Review → Identify and document attack paths
6. Schedule Syncs → Automate regular inventory updates
7. Alert Integration → Notify on new risky relationships
Security Assessment Workflow
1. Populate Graph → Run full Cartography sync
2. Public Exposure → Query for internet-facing resources
3. IAM Analysis → Identify overprivileged identities
4. Cross-Account → Map trust relationships
5. Network Paths → Analyze network reachability
6. Report → Generate findings for remediation