mirror of
https://github.com/SHOGGOTH-SECTOR/sica-fondt.git
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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
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Standards and References - Continuous Security Validation with BAS
BAS Platforms
- SafeBreach: https://www.safebreach.com/
- AttackIQ: https://www.attackiq.com/
- Picus Security: https://www.picussecurity.com/
- Cymulate: https://cymulate.com/
- Pentera: https://pentera.io/
- SCYTHE: https://scythe.io/
Industry Standards
- MITRE ATT&CK Framework: https://attack.mitre.org/
- Gartner BAS Market Guide: Breach and Attack Simulation Tools
- NIST CSF 2.0 DE.CM: Security Continuous Monitoring
- CIS Controls v8.1 Control 18: Penetration Testing
Gartner Recognition (2024)
- Picus Security: 2024 Customers' Choice for BAS Tools
- Category evolution: BAS -> Adversarial Exposure Validation (2025)
Key Metrics
| Metric | Description | Target |
|---|---|---|
| Prevention Rate | % of attacks blocked | > 80% |
| Detection Rate | % of attacks alerted | > 90% (combined) |
| MITRE Coverage | % of techniques tested | > 60% |
| Validation Frequency | How often tests run | Daily/Weekly |