diff --git a/src/roboqa_temporal/constants.py b/src/roboqa_temporal/constants.py
new file mode 100644
index 0000000..e3b396f
--- /dev/null
+++ b/src/roboqa_temporal/constants.py
@@ -0,0 +1,7 @@
+"""Global constants used across roboqa_temporal."""
+
+# Severity bounds for anomaly scores (inclusive)
+MIN_SEVERITY = 0.0
+MAX_SEVERITY = 1.0
+
+__all__ = ["MIN_SEVERITY", "MAX_SEVERITY"]
diff --git a/src/roboqa_temporal/detection/detector.py b/src/roboqa_temporal/detection/detector.py
index 5e99dea..6ff8df6 100644
--- a/src/roboqa_temporal/detection/detector.py
+++ b/src/roboqa_temporal/detection/detector.py
@@ -31,6 +31,7 @@
 import numpy as np
 
 from roboqa_temporal.loader.bag_loader import PointCloudFrame
+from roboqa_temporal.constants import MIN_SEVERITY, MAX_SEVERITY
 from roboqa_temporal.detection.detectors import (
     DensityDropDetector,
     SpatialDiscontinuityDetector,
@@ -54,6 +55,12 @@ class Anomaly:
     description: str
     metadata: Dict[str, Any] = field(default_factory=dict)
 
+    def __post_init__(self) -> None:
+        if not (MIN_SEVERITY <= self.severity <= MAX_SEVERITY):
+            raise ValueError(
+                f"severity {self.severity} outside bounds [{MIN_SEVERITY}, {MAX_SEVERITY}]"
+            )
+
 
 @dataclass
 class DetectionResult:
@@ -121,6 +128,11 @@ def __init__(
                 threshold=temporal_threshold
             )
 
+        if not self.detectors:
+            raise ValueError(
+                "No detectors enabled. Enable at least one anomaly detector or adjust configuration."
+            )
+
     def detect(self, frames: List[PointCloudFrame]) -> DetectionResult:
         """
         Run anomaly detection on a sequence of frames.
diff --git a/tests/test_edge.py b/tests/test_edge.py
index 22614b0..6457a2d 100644
--- a/tests/test_edge.py
+++ b/tests/test_edge.py
@@ -59,19 +59,13 @@ def test_detector_with_all_detectors_disabled():
     reviewer: dharinesh
     category: edge test
     """
-    detector = AnomalyDetector(
-        enable_density_detection=False,
-        enable_spatial_detection=False,
-        enable_ghost_detection=False,
-        enable_temporal_detection=False,
-    )
-    
-    points = np.random.rand(50, 3)
-    frame = PointCloudFrame(timestamp=1000.0, frame_id="test", points=points)
-    result = detector.detect([frame])
-    
-    assert isinstance(result, DetectionResult)
-    assert len(result.detector_results) == 0
+    with pytest.raises(ValueError, match="No detectors enabled"):
+        AnomalyDetector(
+            enable_density_detection=False,
+            enable_spatial_detection=False,
+            enable_ghost_detection=False,
+            enable_temporal_detection=False,
+        )
 
 
 def test_detector_with_extreme_thresholds():