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
1.0 KiB
1.0 KiB
Standards - False Positive Reduction in SIEM
Detection Quality Metrics (Industry Standards)
| Metric | Excellent | Good | Needs Improvement | Critical |
|---|---|---|---|---|
| False Positive Rate | < 10% | 10-20% | 20-40% | > 40% |
| Rule Precision | > 0.90 | 0.80-0.90 | 0.60-0.80 | < 0.60 |
| Mean Triage Time | < 5 min | 5-10 min | 10-20 min | > 20 min |
| Alert-to-Incident Ratio | 1:5 | 1:10 | 1:20 | > 1:50 |
Tuning Frameworks
NIST Continuous Monitoring (SP 800-137)
- Requires regular assessment and adjustment of detection capabilities
- Defines metrics-based approach to monitoring effectiveness
SANS Detection Maturity Model
- Level 1: Basic alerts with high FP rate
- Level 2: Tuned alerts with correlation
- Level 3: Behavioral analytics reducing noise
- Level 4: Automated tuning with ML feedback loops
Allowlist Management Standards
- All exclusions require documented justification
- Expiry dates mandatory (90-day maximum default)
- Quarterly review of all active exclusions
- Approval from detection engineering lead required