diff --git a/include/tvm/ffi/container/tensor.h b/include/tvm/ffi/container/tensor.h
index 3675bb5a..eb6c9fe5 100644
--- a/include/tvm/ffi/container/tensor.h
+++ b/include/tvm/ffi/container/tensor.h
@@ -325,7 +325,12 @@ class Tensor : public ObjectRef {
    */
   int64_t size(int64_t idx) const {
     const TensorObj* ptr = get();
-    return ptr->shape[idx >= 0 ? idx : (ptr->ndim + idx)];
+    int64_t adjusted_idx = idx >= 0 ? idx : (ptr->ndim + idx);
+    if (adjusted_idx < 0 || adjusted_idx >= ptr->ndim) {
+      TVM_FFI_THROW(IndexError) << "Index " << idx << " out of bounds for tensor with " << ptr->ndim
+                                << " dimensions";
+    }
+    return ptr->shape[adjusted_idx];
   }
 
   /*!
@@ -336,7 +341,12 @@ class Tensor : public ObjectRef {
    */
   int64_t stride(int64_t idx) const {
     const TensorObj* ptr = get();
-    return ptr->strides[idx >= 0 ? idx : (ptr->ndim + idx)];
+    int64_t adjusted_idx = idx >= 0 ? idx : (ptr->ndim + idx);
+    if (adjusted_idx < 0 || adjusted_idx >= ptr->ndim) {
+      TVM_FFI_THROW(IndexError) << "Index " << idx << " out of bounds for tensor with " << ptr->ndim
+                                << " dimensions";
+    }
+    return ptr->strides[adjusted_idx];
   }
 
   /*!
@@ -754,7 +764,14 @@ class TensorView {
    * \param idx The index of the size.
    * \return The size of the idx-th dimension.
    */
-  int64_t size(int64_t idx) const { return tensor_.shape[idx >= 0 ? idx : tensor_.ndim + idx]; }
+  int64_t size(int64_t idx) const {
+    int64_t adjusted_idx = idx >= 0 ? idx : (tensor_.ndim + idx);
+    if (adjusted_idx < 0 || adjusted_idx >= tensor_.ndim) {
+      TVM_FFI_THROW(IndexError) << "Index " << idx << " out of bounds for tensor with "
+                                << tensor_.ndim << " dimensions";
+    }
+    return tensor_.shape[adjusted_idx];
+  }
 
   /*!
    * \brief Get the stride of the idx-th dimension. If the idx is negative,
@@ -762,7 +779,14 @@ class TensorView {
    * \param idx The index of the stride.
    * \return The stride of the idx-th dimension.
    */
-  int64_t stride(int64_t idx) const { return tensor_.strides[idx >= 0 ? idx : tensor_.ndim + idx]; }
+  int64_t stride(int64_t idx) const {
+    int64_t adjusted_idx = idx >= 0 ? idx : (tensor_.ndim + idx);
+    if (adjusted_idx < 0 || adjusted_idx >= tensor_.ndim) {
+      TVM_FFI_THROW(IndexError) << "Index " << idx << " out of bounds for tensor with "
+                                << tensor_.ndim << " dimensions";
+    }
+    return tensor_.strides[adjusted_idx];
+  }
 
   /*!
    * \brief Get the byte offset of the Tensor.
diff --git a/tests/cpp/test_tensor.cc b/tests/cpp/test_tensor.cc
index b5c82bc2..1b14e6fb 100644
--- a/tests/cpp/test_tensor.cc
+++ b/tests/cpp/test_tensor.cc
@@ -365,4 +365,18 @@ TEST(Tensor, AsStrided) {
   EXPECT_EQ(offset_data2[0 * 3 + 0 * 1], 2.0f);  // Points to data[2]
 }
 
+TEST(Tensor, SizeStrideOutOfBounds) {
+  Tensor tensor = Empty({2, 3, 4}, DLDataType({kDLFloat, 32, 1}), DLDevice({kDLCPU, 0}));
+  EXPECT_THROW({ tensor.size(3); }, tvm::ffi::Error);
+  EXPECT_THROW({ tensor.size(-4); }, tvm::ffi::Error);
+  EXPECT_THROW({ tensor.stride(3); }, tvm::ffi::Error);
+  EXPECT_THROW({ tensor.stride(-4); }, tvm::ffi::Error);
+
+  TensorView tensor_view = tensor;
+  EXPECT_THROW({ tensor_view.size(3); }, tvm::ffi::Error);
+  EXPECT_THROW({ tensor_view.size(-4); }, tvm::ffi::Error);
+  EXPECT_THROW({ tensor_view.stride(3); }, tvm::ffi::Error);
+  EXPECT_THROW({ tensor_view.stride(-4); }, tvm::ffi::Error);
+}
+
 }  // namespace
diff --git a/tests/python/test_tensor.py b/tests/python/test_tensor.py
index 9c938a8c..d091d859 100644
--- a/tests/python/test_tensor.py
+++ b/tests/python/test_tensor.py
@@ -20,6 +20,7 @@
 from types import ModuleType
 from typing import Any, NamedTuple
 
+import numpy.typing as npt
 import pytest
 
 torch: ModuleType | None
@@ -33,7 +34,7 @@
 
 
 def test_tensor_attributes() -> None:
-    data = np.zeros((10, 8, 4, 2), dtype="int16")
+    data: npt.NDArray[Any] = np.zeros((10, 8, 4, 2), dtype="int16")
     if not hasattr(data, "__dlpack__"):
         return
     x = tvm_ffi.from_dlpack(data)
@@ -84,7 +85,7 @@ class MyTensor(tvm_ffi.Tensor):
     old_tensor = tvm_ffi.core._CLASS_TENSOR
     tvm_ffi.core._set_class_tensor(MyTensor)
 
-    data = np.zeros((10, 8, 4, 2), dtype="int16")
+    data: npt.NDArray[Any] = np.zeros((10, 8, 4, 2), dtype="int16")
     if not hasattr(data, "__dlpack__"):
         return
     x = tvm_ffi.from_dlpack(data)
@@ -105,7 +106,7 @@ def __tvm_ffi_object__(self) -> tvm_ffi.Tensor:
             """Implement __tvm_ffi_object__ protocol."""
             return self._tensor
 
-    data = np.zeros((10, 8, 4, 2), dtype="int32")
+    data: npt.NDArray[Any] = np.zeros((10, 8, 4, 2), dtype="int32")
     if not hasattr(data, "__dlpack__"):
         return
     x = tvm_ffi.from_dlpack(data)
@@ -159,7 +160,7 @@ def test_optional_tensor_view() -> None:
         "testing.optional_tensor_view_has_value"
     )
     assert not optional_tensor_view_has_value(None)
-    x = np.zeros((128,), dtype="float32")
+    x: npt.NDArray[Any] = np.zeros((128,), dtype="float32")
     if not hasattr(x, "__dlpack__"):
         return
     assert optional_tensor_view_has_value(x)