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
65 lines
1.9 KiB
Markdown
65 lines
1.9 KiB
Markdown
# API Reference: CISA Zero Trust Maturity Model Assessment Agent
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## Dependencies
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| Library | Version | Purpose |
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|---------|---------|---------|
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| (stdlib only) | Python 3.8+ | JSON processing, assessment logic |
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## CLI Usage
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```bash
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python scripts/agent.py \
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--data /assessments/zt_responses.json \
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--output-dir /reports/ \
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--output ztmm_report.json
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```
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## Functions
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### `assess_control(control, implemented, maturity) -> dict`
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Scores a single control: 0 (Traditional) to 3 (Optimal).
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### `assess_pillar(pillar, responses) -> dict`
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Evaluates all controls within a CISA ZT pillar. Returns score, percentage, and maturity level.
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### `compute_overall_maturity(pillar_results) -> dict`
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Aggregates pillar scores into overall maturity: Traditional/Initial/Advanced/Optimal.
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### `generate_recommendations(pillar_results) -> list`
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Identifies unimplemented controls, prioritizes by pillar weakness.
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### `generate_report(data_path) -> dict`
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Full assessment pipeline: load data, assess 5 pillars, compute maturity, generate recommendations.
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## CISA ZT Pillars
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| Pillar | Controls Assessed |
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|--------|-------------------|
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| Identity | MFA, phishing-resistant MFA, JIT access, PAM |
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| Devices | Inventory, EDR, health attestation, posture |
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| Networks | Microsegmentation, encrypted DNS, SDP |
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| Applications | Inventory, access controls, API security |
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| Data | Classification, DLP, encryption at rest |
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## Input Data Format
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```json
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{
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"Identity": {
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"MFA enforced for all users": {"implemented": true, "maturity": "Advanced"},
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"Phishing-resistant MFA (FIDO2/PIV)": {"implemented": false, "maturity": "Traditional"}
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}
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}
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```
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## Output Schema
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```json
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{
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"overall_maturity": {"percentage": 52.3, "maturity_level": "Advanced"},
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"pillars": [{"pillar": "Identity", "percentage": 66.7, "maturity_level": "Advanced"}],
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"recommendations": [{"pillar": "Devices", "control": "EDR deployed", "priority": "HIGH"}]
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}
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```
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