mirror of
https://github.com/SHOGGOTH-SECTOR/sica-fondt.git
synced 2026-08-01 08:30:20 +00:00
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
33 lines
775 B
Markdown
33 lines
775 B
Markdown
# AWS Macie Data Classification Template
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## Configuration
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| Setting | Value |
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|---------|-------|
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| Administrator Account | |
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| Regions Enabled | |
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| Automated Discovery | Enabled / Disabled |
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| Finding Publication | 15min / 1hr / 6hr |
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| Export Bucket | |
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## S3 Bucket Coverage
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| Bucket | Classification Job | Sensitive Data Found | Action Taken |
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|--------|-------------------|---------------------|-------------|
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## Custom Data Identifiers
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| Name | Regex Pattern | Severity Levels | Purpose |
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|------|--------------|-----------------|---------|
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## Findings Summary
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| Severity | Count | Top Data Type | Remediation Status |
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|----------|-------|--------------|-------------------|
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| Critical | | | |
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| High | | | |
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| Medium | | | |
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| Low | | | |
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