fix(risk): Technique uses status_global and mitre_id (not status/technique_id)

backend/app/services/risk_intelligence_service.py

@@ -67,8 +67,8 @@ def _compute_for_technique(db: Session, tech: Technique) -> TechniqueRiskProfile
     ).first()
     confidence_level: float = float(dlc_conf.confidence_score or 0.0) if dlc_conf else 0.0
 
-    # Map technique status to coverage factor
-    status = tech.status
+    # Map technique status_global to coverage factor
+    status = tech.status_global
     if status == TechniqueStatus.validated:
         status_coverage = 1.0
     elif status == TechniqueStatus.partial:
@@ -86,7 +86,7 @@ def _compute_for_technique(db: Session, tech: Technique) -> TechniqueRiskProfile
     detection_gap = 1.0 - raw_coverage
     breakdown["detection_gap"] = {
         "mapping_count":   mapping_count,
-        "status":          str(status) if status else None,
+        "status":          str(status.value) if status else None,
         "status_coverage": status_coverage,
         "confidence_level": round(confidence_level, 3),
         "detection_gap":   round(detection_gap, 3),
@@ -306,7 +306,7 @@ def get_risk_matrix(db: Session) -> list:
         {
             "technique_id":   str(p.technique_id),
             "technique_name": t.name,
-            "technique_tid":  t.technique_id,
+            "technique_tid":  t.mitre_id,
             "risk_score":     p.risk_score,
             "likelihood":     p.likelihood,
             "impact":         p.impact,
@@ -341,7 +341,7 @@ def get_risk_summary(db: Session) -> dict:
         {
             "technique_id":   str(p.technique_id),
             "technique_name": t.name,
-            "technique_tid":  t.technique_id,
+            "technique_tid":  t.mitre_id,
             "risk_score":     p.risk_score,
             "risk_level":     p.risk_level,
             "likelihood":     p.likelihood,