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sica-fondt/knowledge/cyber-skills/skills/implementing-soar-playbook-with-palo-alto-xsoar/references/workflows.md
Claude 24f816b6a3
Consolidate 22 sibling repos into layered organism structure 
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
2026-06-10 06:53:01 +00:00

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Workflows - SOAR Playbook with XSOAR

Playbook Development Lifecycle

1. Identify Manual Process
   - Document current analyst workflow
   - Measure time per step
   |
   v
2. Design Playbook Logic
   - Map decision points
   - Identify automation candidates
   - Define manual review gates
   |
   v
3. Build in XSOAR
   - Create playbook in visual editor
   - Configure integration commands
   - Add conditional branches
   - Write custom scripts if needed
   |
   v
4. Test with Sample Data
   - Create test incidents
   - Verify each task executes correctly
   - Test error handling paths
   |
   v
5. Pilot in Production
   - Run on subset of incidents
   - Compare automated vs manual results
   - Gather analyst feedback
   |
   v
6. Full Deployment
   - Enable for all matching incidents
   - Monitor playbook performance
   - Track MTTR improvements
   |
   v
7. Continuous Improvement
   - Review failed tasks monthly
   - Update integrations as needed
   - Add new sub-playbooks

Incident Lifecycle in XSOAR

Alert Ingestion (SIEM/EDR/Email)
    |
    v
Pre-Processing (Classification, Deduplication)
    |
    v
Incident Created (Type, Severity, Owner assigned)
    |
    v
Playbook Triggered Automatically
    |
    +-- Enrichment Phase (parallel)
    |   |-- IP/Domain/Hash lookup
    |   |-- User/Asset lookup
    |   |-- TI feed correlation
    |
    +-- Analysis Phase
    |   |-- Verdict determination
    |   |-- Risk scoring
    |
    +-- Response Phase
    |   |-- Containment actions (auto or manual approval)
    |   |-- Eradication steps
    |   |-- Recovery procedures
    |
    +-- Documentation Phase
    |   |-- War room timeline
    |   |-- Closing report
    |   |-- Ticket update
    |
    v
Incident Closed

ROI Measurement Workflow

Before SOAR:
  Count manual hours per incident type per month

After SOAR:
  Measure automated handling time
  Calculate: Saved Hours = Manual Hours - Automated Hours
  Calculate: ROI = (Saved Hours * Analyst Hourly Cost) / SOAR License Cost