feat(risk): Phase 12 — Risk Intelligence [FASE-12]

- TechniqueRiskProfile model: per-technique risk scoring (0-100)
- 4-factor weighted scoring: detection_gap(35%) + threat_actors(30%) + osint(20%) + test_failures(15%)
- Risk levels: critical(≥75) / high(≥50) / medium(≥25) / low(≥10) / info
- Detailed scoring_breakdown (JSONB) + actionable recommendations per technique
- Router /api/v1/risk: compute-all, compute-one, list, matrix, summary, recommendations, top
- Alembic migration b038risk (raw SQL, idempotent)
- QA script: 60+ tests across all endpoints

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

backend/app/models/__init__.py

@@ -39,6 +39,7 @@ from app.models.attack_path import (
     ExecutionStatus, StepResultStatus, TimelineActorSide, TimelineEntryType,
 )
 from app.models.knowledge import Playbook, PlaybookVersion, LessonLearned
+from app.models.risk_intelligence import TechniqueRiskProfile
 
 __all__ = [
     "User", "Technique", "Test", "TestTemplate", "Evidence",
@@ -61,4 +62,5 @@ __all__ = [
     "AttackPathStepResult", "TimelineEntry",
     "ExecutionStatus", "StepResultStatus", "TimelineActorSide", "TimelineEntryType",
     "Playbook", "PlaybookVersion", "LessonLearned",
+    "TechniqueRiskProfile",
 ]