mirror of
https://github.com/SHOGGOTH-SECTOR/sica-fondt.git
synced 2026-08-01 16:40:24 +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
96 lines
2.0 KiB
Markdown
96 lines
2.0 KiB
Markdown
# Workflows - SOAR Playbook with XSOAR
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## Playbook Development Lifecycle
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```
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1. Identify Manual Process
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- Document current analyst workflow
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- Measure time per step
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v
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2. Design Playbook Logic
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- Map decision points
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- Identify automation candidates
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- Define manual review gates
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3. Build in XSOAR
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- Create playbook in visual editor
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- Configure integration commands
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- Add conditional branches
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- Write custom scripts if needed
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4. Test with Sample Data
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- Create test incidents
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- Verify each task executes correctly
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- Test error handling paths
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5. Pilot in Production
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- Run on subset of incidents
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- Compare automated vs manual results
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- Gather analyst feedback
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6. Full Deployment
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- Enable for all matching incidents
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- Monitor playbook performance
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- Track MTTR improvements
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7. Continuous Improvement
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- Review failed tasks monthly
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- Update integrations as needed
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- Add new sub-playbooks
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```
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## Incident Lifecycle in XSOAR
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```
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Alert Ingestion (SIEM/EDR/Email)
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Pre-Processing (Classification, Deduplication)
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Incident Created (Type, Severity, Owner assigned)
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Playbook Triggered Automatically
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+-- Enrichment Phase (parallel)
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| |-- IP/Domain/Hash lookup
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| |-- User/Asset lookup
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| |-- TI feed correlation
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+-- Analysis Phase
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| |-- Verdict determination
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| |-- Risk scoring
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+-- Response Phase
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| |-- Containment actions (auto or manual approval)
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| |-- Eradication steps
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| |-- Recovery procedures
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+-- Documentation Phase
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| |-- War room timeline
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| |-- Closing report
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| |-- Ticket update
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Incident Closed
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```
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## ROI Measurement Workflow
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```
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Before SOAR:
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Count manual hours per incident type per month
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After SOAR:
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Measure automated handling time
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Calculate: Saved Hours = Manual Hours - Automated Hours
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Calculate: ROI = (Saved Hours * Analyst Hourly Cost) / SOAR License Cost
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```
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