diff --git a/api/app/models/alert_dto.py b/api/app/models/alert_dto.py
index 29ecfee1..237f6d3c 100644
--- a/api/app/models/alert_dto.py
+++ b/api/app/models/alert_dto.py
@@ -1,5 +1,5 @@
 from enum import Enum
-from typing import Dict, List, Optional
+from typing import List, Optional
 from uuid import UUID
 
 from pydantic import BaseModel, ConfigDict
@@ -9,10 +9,11 @@
 class AnomalyType(str, Enum):
     DATA_QUALITY = 'DATA_QUALITY'
     MODEL_QUALITY = 'MODEL_QUALITY'
-    DRIFT = 'DRIFT'
+    DRIFT = 'DATA_DRIFT'
 
 
 class AlertDTO(BaseModel):
+    model_name: str
     model_uuid: UUID
     reference_uuid: Optional[UUID]
     current_uuid: Optional[UUID]
@@ -24,11 +25,3 @@ class AlertDTO(BaseModel):
         populate_by_name=True,
         alias_generator=to_camel,
     )
-
-    @staticmethod
-    def from_dict(
-        alert_data: Optional[Dict],
-    ) -> 'AlertDTO':
-        """Create a AlertDTO from a dictionary of data."""
-
-        return AlertDTO.model_validate(alert_data)
diff --git a/api/app/services/model_service.py b/api/app/services/model_service.py
index 5793e5c5..ea8c225d 100644
--- a/api/app/services/model_service.py
+++ b/api/app/services/model_service.py
@@ -143,26 +143,25 @@ def get_last_n_alerts(self, n_alerts) -> List[AlertDTO]:
                         return res
                     if 0 <= metrics.percentages[perc]['value'] < 1:
                         res.append(
-                            AlertDTO.from_dict(
-                                {
-                                    'model_uuid': model.uuid,
-                                    'reference_uuid': latest_reference_dataset.uuid
-                                    if latest_reference_dataset
-                                    else None,
-                                    'current_uuid': latest_current_dataset.uuid
-                                    if latest_current_dataset
-                                    else None,
-                                    'anomaly_type': AnomalyType[perc.upper()],
-                                    'anomaly_features': [
-                                        x['feature_name']
-                                        for x in sorted(
-                                            metrics.percentages[perc]['details'],
-                                            key=lambda e: e['score'],
-                                            reverse=True,
-                                        )
-                                        if x['score'] > 0
-                                    ],
-                                }
+                            AlertDTO(
+                                model_name=model.name,
+                                model_uuid=model.uuid,
+                                reference_uuid=latest_reference_dataset.uuid
+                                if latest_reference_dataset
+                                else None,
+                                current_uuid=latest_current_dataset.uuid
+                                if latest_current_dataset
+                                else None,
+                                anomaly_type=AnomalyType[perc.upper()],
+                                anomaly_features=[
+                                    x['feature_name']
+                                    for x in sorted(
+                                        metrics.percentages[perc]['details'],
+                                        key=lambda e: e['score'],
+                                        reverse=True,
+                                    )
+                                    if x['score'] > 0
+                                ],
                             )
                         )
                         count_alerts += 1
diff --git a/api/tests/routes/model_route_test.py b/api/tests/routes/model_route_test.py
index 40941452..ae8df3ed 100644
--- a/api/tests/routes/model_route_test.py
+++ b/api/tests/routes/model_route_test.py
@@ -170,23 +170,21 @@ def test_get_last_n_alerts(self):
         )
 
         sample_alerts_out = [
-            AlertDTO.from_dict(
-                {
-                    'model_uuid': model1.uuid,
-                    'reference_uuid': None,
-                    'current_uuid': current1.uuid,
-                    'anomaly_type': AnomalyType.DRIFT,
-                    'anomaly_features': ['num1', 'num2'],
-                }
+            AlertDTO(
+                model_name=model1.name,
+                model_uuid=model1.uuid,
+                reference_uuid=None,
+                current_uuid=current1.uuid,
+                anomaly_type=AnomalyType.DRIFT,
+                anomaly_features=['num1', 'num2'],
             ),
-            AlertDTO.from_dict(
-                {
-                    'model_uuid': model0.uuid,
-                    'reference_uuid': None,
-                    'current_uuid': current0.uuid,
-                    'anomaly_type': AnomalyType.DRIFT,
-                    'anomaly_features': ['num1', 'num2'],
-                }
+            AlertDTO(
+                model_name=model0.name,
+                model_uuid=model0.uuid,
+                reference_uuid=None,
+                current_uuid=current0.uuid,
+                anomaly_type=AnomalyType.DRIFT,
+                anomaly_features=['num1', 'num2'],
             ),
         ]