diff --git a/src/sagemaker/feature_store/feature_processor/_config_uploader.py b/src/sagemaker/feature_store/feature_processor/_config_uploader.py
index 0646adacb4..2a35dca224 100644
--- a/src/sagemaker/feature_store/feature_processor/_config_uploader.py
+++ b/src/sagemaker/feature_store/feature_processor/_config_uploader.py
@@ -120,9 +120,6 @@ def _prepare_and_upload_callable(
         stored_function = StoredFunction(
             sagemaker_session=sagemaker_session,
             s3_base_uri=s3_base_uri,
-            hmac_key=self.remote_decorator_config.environment_variables[
-                "REMOTE_FUNCTION_SECRET_KEY"
-            ],
             s3_kms_key=self.remote_decorator_config.s3_kms_key,
         )
         stored_function.save(func)
diff --git a/src/sagemaker/remote_function/client.py b/src/sagemaker/remote_function/client.py
index 55b4654aa9..f70eb48c58 100644
--- a/src/sagemaker/remote_function/client.py
+++ b/src/sagemaker/remote_function/client.py
@@ -362,7 +362,6 @@ def wrapper(*args, **kwargs):
                             s3_uri=s3_path_join(
                                 job_settings.s3_root_uri, job.job_name, EXCEPTION_FOLDER
                             ),
-                            hmac_key=job.hmac_key,
                         )
                     except ServiceError as serr:
                         chained_e = serr.__cause__
@@ -399,7 +398,6 @@ def wrapper(*args, **kwargs):
                 return serialization.deserialize_obj_from_s3(
                     sagemaker_session=job_settings.sagemaker_session,
                     s3_uri=s3_path_join(job_settings.s3_root_uri, job.job_name, RESULTS_FOLDER),
-                    hmac_key=job.hmac_key,
                 )
 
             if job.describe()["TrainingJobStatus"] == "Stopped":
@@ -979,7 +977,6 @@ def from_describe_response(describe_training_job_response, sagemaker_session):
                 job_return = serialization.deserialize_obj_from_s3(
                     sagemaker_session=sagemaker_session,
                     s3_uri=s3_path_join(job.s3_uri, RESULTS_FOLDER),
-                    hmac_key=job.hmac_key,
                 )
             except DeserializationError as e:
                 client_exception = e
@@ -991,7 +988,6 @@ def from_describe_response(describe_training_job_response, sagemaker_session):
                 job_exception = serialization.deserialize_exception_from_s3(
                     sagemaker_session=sagemaker_session,
                     s3_uri=s3_path_join(job.s3_uri, EXCEPTION_FOLDER),
-                    hmac_key=job.hmac_key,
                 )
             except ServiceError as serr:
                 chained_e = serr.__cause__
@@ -1081,7 +1077,6 @@ def result(self, timeout: float = None) -> Any:
                     self._return = serialization.deserialize_obj_from_s3(
                         sagemaker_session=self._job.sagemaker_session,
                         s3_uri=s3_path_join(self._job.s3_uri, RESULTS_FOLDER),
-                        hmac_key=self._job.hmac_key,
                     )
                     self._state = _FINISHED
                     return self._return
@@ -1090,7 +1085,6 @@ def result(self, timeout: float = None) -> Any:
                         self._exception = serialization.deserialize_exception_from_s3(
                             sagemaker_session=self._job.sagemaker_session,
                             s3_uri=s3_path_join(self._job.s3_uri, EXCEPTION_FOLDER),
-                            hmac_key=self._job.hmac_key,
                         )
                     except ServiceError as serr:
                         chained_e = serr.__cause__
diff --git a/src/sagemaker/remote_function/core/pipeline_variables.py b/src/sagemaker/remote_function/core/pipeline_variables.py
index 952cccdb07..ad4f9e3aa3 100644
--- a/src/sagemaker/remote_function/core/pipeline_variables.py
+++ b/src/sagemaker/remote_function/core/pipeline_variables.py
@@ -164,7 +164,6 @@ class _DelayedReturnResolver:
     def __init__(
         self,
         delayed_returns: List[_DelayedReturn],
-        hmac_key: str,
         properties_resolver: _PropertiesResolver,
         parameter_resolver: _ParameterResolver,
         execution_variable_resolver: _ExecutionVariableResolver,
@@ -175,7 +174,6 @@ def __init__(
 
         Args:
             delayed_returns: list of delayed returns to resolve.
-            hmac_key: key used to encrypt serialized and deserialized function and arguments.
             properties_resolver: resolver used to resolve step properties.
             parameter_resolver: resolver used to pipeline parameters.
             execution_variable_resolver: resolver used to resolve execution variables.
@@ -197,7 +195,6 @@ def deserialization_task(uri):
             return uri, deserialize_obj_from_s3(
                 sagemaker_session=settings["sagemaker_session"],
                 s3_uri=uri,
-                hmac_key=hmac_key,
             )
 
         with ThreadPoolExecutor() as executor:
@@ -247,7 +244,6 @@ def resolve_pipeline_variables(
     context: Context,
     func_args: Tuple,
     func_kwargs: Dict,
-    hmac_key: str,
     s3_base_uri: str,
     **settings,
 ):
@@ -257,7 +253,6 @@ def resolve_pipeline_variables(
         context: context for the execution.
         func_args: function args.
         func_kwargs: function kwargs.
-        hmac_key: key used to encrypt serialized and deserialized function and arguments.
         s3_base_uri: the s3 base uri of the function step that the serialized artifacts
             will be uploaded to. The s3_base_uri = s3_root_uri + pipeline_name.
         **settings: settings to pass to the deserialization function.
@@ -280,7 +275,6 @@ def resolve_pipeline_variables(
     properties_resolver = _PropertiesResolver(context)
     delayed_return_resolver = _DelayedReturnResolver(
         delayed_returns=delayed_returns,
-        hmac_key=hmac_key,
         properties_resolver=properties_resolver,
         parameter_resolver=parameter_resolver,
         execution_variable_resolver=execution_variable_resolver,
diff --git a/src/sagemaker/remote_function/core/serialization.py b/src/sagemaker/remote_function/core/serialization.py
index 229cf1ed0d..ccb3eee0cf 100644
--- a/src/sagemaker/remote_function/core/serialization.py
+++ b/src/sagemaker/remote_function/core/serialization.py
@@ -152,7 +152,7 @@ def deserialize(s3_uri: str, bytes_to_deserialize: bytes) -> Any:
 
 # TODO: use dask serializer in case dask distributed is installed in users' environment.
 def serialize_func_to_s3(
-    func: Callable, sagemaker_session: Session, s3_uri: str, hmac_key: str, s3_kms_key: str = None
+    func: Callable, sagemaker_session: Session, s3_uri: str, s3_kms_key: str = None
 ):
     """Serializes function and uploads it to S3.
 
@@ -160,7 +160,6 @@ def serialize_func_to_s3(
         sagemaker_session (sagemaker.session.Session):
             The underlying Boto3 session which AWS service calls are delegated to.
         s3_uri (str): S3 root uri to which resulting serialized artifacts will be uploaded.
-        hmac_key (str): Key used to calculate hmac-sha256 hash of the serialized func.
         s3_kms_key (str): KMS key used to encrypt artifacts uploaded to S3.
         func: function to be serialized and persisted
     Raises:
@@ -169,14 +168,13 @@ def serialize_func_to_s3(
 
     _upload_payload_and_metadata_to_s3(
         bytes_to_upload=CloudpickleSerializer.serialize(func),
-        hmac_key=hmac_key,
         s3_uri=s3_uri,
         sagemaker_session=sagemaker_session,
         s3_kms_key=s3_kms_key,
     )
 
 
-def deserialize_func_from_s3(sagemaker_session: Session, s3_uri: str, hmac_key: str) -> Callable:
+def deserialize_func_from_s3(sagemaker_session: Session, s3_uri: str) -> Callable:
     """Downloads from S3 and then deserializes data objects.
 
     This method downloads the serialized training job outputs to a temporary directory and
@@ -186,7 +184,6 @@ def deserialize_func_from_s3(sagemaker_session: Session, s3_uri: str, hmac_key:
         sagemaker_session (sagemaker.session.Session):
             The underlying sagemaker session which AWS service calls are delegated to.
         s3_uri (str): S3 root uri to which resulting serialized artifacts will be uploaded.
-        hmac_key (str): Key used to calculate hmac-sha256 hash of the serialized func.
     Returns :
         The deserialized function.
     Raises:
@@ -199,14 +196,14 @@ def deserialize_func_from_s3(sagemaker_session: Session, s3_uri: str, hmac_key:
     bytes_to_deserialize = _read_bytes_from_s3(f"{s3_uri}/payload.pkl", sagemaker_session)
 
     _perform_integrity_check(
-        expected_hash_value=metadata.sha256_hash, secret_key=hmac_key, buffer=bytes_to_deserialize
+        expected_hash_value=metadata.sha256_hash, buffer=bytes_to_deserialize
     )
 
     return CloudpickleSerializer.deserialize(f"{s3_uri}/payload.pkl", bytes_to_deserialize)
 
 
 def serialize_obj_to_s3(
-    obj: Any, sagemaker_session: Session, s3_uri: str, hmac_key: str, s3_kms_key: str = None
+    obj: Any, sagemaker_session: Session, s3_uri: str, s3_kms_key: str = None
 ):
     """Serializes data object and uploads it to S3.
 
@@ -215,7 +212,6 @@ def serialize_obj_to_s3(
             The underlying Boto3 session which AWS service calls are delegated to.
         s3_uri (str): S3 root uri to which resulting serialized artifacts will be uploaded.
         s3_kms_key (str): KMS key used to encrypt artifacts uploaded to S3.
-        hmac_key (str): Key used to calculate hmac-sha256 hash of the serialized obj.
         obj: object to be serialized and persisted
     Raises:
         SerializationError: when fail to serialize object to bytes.
@@ -223,7 +219,6 @@ def serialize_obj_to_s3(
 
     _upload_payload_and_metadata_to_s3(
         bytes_to_upload=CloudpickleSerializer.serialize(obj),
-        hmac_key=hmac_key,
         s3_uri=s3_uri,
         sagemaker_session=sagemaker_session,
         s3_kms_key=s3_kms_key,
@@ -270,14 +265,13 @@ def json_serialize_obj_to_s3(
     )
 
 
-def deserialize_obj_from_s3(sagemaker_session: Session, s3_uri: str, hmac_key: str) -> Any:
+def deserialize_obj_from_s3(sagemaker_session: Session, s3_uri: str) -> Any:
     """Downloads from S3 and then deserializes data objects.
 
     Args:
         sagemaker_session (sagemaker.session.Session):
             The underlying sagemaker session which AWS service calls are delegated to.
         s3_uri (str): S3 root uri to which resulting serialized artifacts will be uploaded.
-        hmac_key (str): Key used to calculate hmac-sha256 hash of the serialized obj.
     Returns :
         Deserialized python objects.
     Raises:
@@ -291,14 +285,14 @@ def deserialize_obj_from_s3(sagemaker_session: Session, s3_uri: str, hmac_key: s
     bytes_to_deserialize = _read_bytes_from_s3(f"{s3_uri}/payload.pkl", sagemaker_session)
 
     _perform_integrity_check(
-        expected_hash_value=metadata.sha256_hash, secret_key=hmac_key, buffer=bytes_to_deserialize
+        expected_hash_value=metadata.sha256_hash, buffer=bytes_to_deserialize
     )
 
     return CloudpickleSerializer.deserialize(f"{s3_uri}/payload.pkl", bytes_to_deserialize)
 
 
 def serialize_exception_to_s3(
-    exc: Exception, sagemaker_session: Session, s3_uri: str, hmac_key: str, s3_kms_key: str = None
+    exc: Exception, sagemaker_session: Session, s3_uri: str, s3_kms_key: str = None
 ):
     """Serializes exception with traceback and uploads it to S3.
 
@@ -307,7 +301,6 @@ def serialize_exception_to_s3(
             The underlying Boto3 session which AWS service calls are delegated to.
         s3_uri (str): S3 root uri to which resulting serialized artifacts will be uploaded.
         s3_kms_key (str): KMS key used to encrypt artifacts uploaded to S3.
-        hmac_key (str): Key used to calculate hmac-sha256 hash of the serialized exception.
         exc: Exception to be serialized and persisted
     Raises:
         SerializationError: when fail to serialize object to bytes.
@@ -316,7 +309,6 @@ def serialize_exception_to_s3(
 
     _upload_payload_and_metadata_to_s3(
         bytes_to_upload=CloudpickleSerializer.serialize(exc),
-        hmac_key=hmac_key,
         s3_uri=s3_uri,
         sagemaker_session=sagemaker_session,
         s3_kms_key=s3_kms_key,
@@ -325,7 +317,6 @@ def serialize_exception_to_s3(
 
 def _upload_payload_and_metadata_to_s3(
     bytes_to_upload: Union[bytes, io.BytesIO],
-    hmac_key: str,
     s3_uri: str,
     sagemaker_session: Session,
     s3_kms_key,
@@ -334,7 +325,6 @@ def _upload_payload_and_metadata_to_s3(
 
     Args:
         bytes_to_upload (bytes): Serialized bytes to upload.
-        hmac_key (str): Key used to calculate hmac-sha256 hash of the serialized obj.
         s3_uri (str): S3 root uri to which resulting serialized artifacts will be uploaded.
         sagemaker_session (sagemaker.session.Session):
             The underlying Boto3 session which AWS service calls are delegated to.
@@ -342,7 +332,7 @@ def _upload_payload_and_metadata_to_s3(
     """
     _upload_bytes_to_s3(bytes_to_upload, f"{s3_uri}/payload.pkl", s3_kms_key, sagemaker_session)
 
-    sha256_hash = _compute_hash(bytes_to_upload, secret_key=hmac_key)
+    sha256_hash = _compute_hash(bytes_to_upload)
 
     _upload_bytes_to_s3(
         _MetaData(sha256_hash).to_json(),
@@ -352,14 +342,13 @@ def _upload_payload_and_metadata_to_s3(
     )
 
 
-def deserialize_exception_from_s3(sagemaker_session: Session, s3_uri: str, hmac_key: str) -> Any:
+def deserialize_exception_from_s3(sagemaker_session: Session, s3_uri: str) -> Any:
     """Downloads from S3 and then deserializes exception.
 
     Args:
         sagemaker_session (sagemaker.session.Session):
             The underlying sagemaker session which AWS service calls are delegated to.
         s3_uri (str): S3 root uri to which resulting serialized artifacts will be uploaded.
-        hmac_key (str): Key used to calculate hmac-sha256 hash of the serialized exception.
     Returns :
         Deserialized exception with traceback.
     Raises:
@@ -373,7 +362,7 @@ def deserialize_exception_from_s3(sagemaker_session: Session, s3_uri: str, hmac_
     bytes_to_deserialize = _read_bytes_from_s3(f"{s3_uri}/payload.pkl", sagemaker_session)
 
     _perform_integrity_check(
-        expected_hash_value=metadata.sha256_hash, secret_key=hmac_key, buffer=bytes_to_deserialize
+        expected_hash_value=metadata.sha256_hash, buffer=bytes_to_deserialize
     )
 
     return CloudpickleSerializer.deserialize(f"{s3_uri}/payload.pkl", bytes_to_deserialize)
@@ -399,18 +388,18 @@ def _read_bytes_from_s3(s3_uri, sagemaker_session):
         ) from e
 
 
-def _compute_hash(buffer: bytes, secret_key: str) -> str:
-    """Compute the hmac-sha256 hash"""
-    return hmac.new(secret_key.encode(), msg=buffer, digestmod=hashlib.sha256).hexdigest()
+def _compute_hash(buffer: bytes) -> str:
+    """Compute the sha256 hash"""
+    return hashlib.sha256(buffer).hexdigest()
 
 
-def _perform_integrity_check(expected_hash_value: str, secret_key: str, buffer: bytes):
+def _perform_integrity_check(expected_hash_value: str, buffer: bytes):
     """Performs integrity checks for serialized code/arguments uploaded to s3.
 
     Verifies whether the hash read from s3 matches the hash calculated
     during remote function execution.
     """
-    actual_hash_value = _compute_hash(buffer=buffer, secret_key=secret_key)
+    actual_hash_value = _compute_hash(buffer=buffer)
     if not hmac.compare_digest(expected_hash_value, actual_hash_value):
         raise DeserializationError(
             "Integrity check for the serialized function or data failed. "
diff --git a/src/sagemaker/remote_function/core/stored_function.py b/src/sagemaker/remote_function/core/stored_function.py
index 862c67d9ee..99db688a33 100644
--- a/src/sagemaker/remote_function/core/stored_function.py
+++ b/src/sagemaker/remote_function/core/stored_function.py
@@ -52,7 +52,6 @@ def __init__(
         self,
         sagemaker_session: Session,
         s3_base_uri: str,
-        hmac_key: str,
         s3_kms_key: str = None,
         context: Context = Context(),
     ):
@@ -63,13 +62,11 @@ def __init__(
                 AWS service calls are delegated to.
             s3_base_uri: the base uri to which serialized artifacts will be uploaded.
             s3_kms_key: KMS key used to encrypt artifacts uploaded to S3.
-            hmac_key: Key used to encrypt serialized and deserialized function and arguments.
             context: Build or run context of a pipeline step.
         """
         self.sagemaker_session = sagemaker_session
         self.s3_base_uri = s3_base_uri
         self.s3_kms_key = s3_kms_key
-        self.hmac_key = hmac_key
         self.context = context
 
         self.func_upload_path = s3_path_join(
@@ -98,7 +95,6 @@ def save(self, func, *args, **kwargs):
             sagemaker_session=self.sagemaker_session,
             s3_uri=s3_path_join(self.func_upload_path, FUNCTION_FOLDER),
             s3_kms_key=self.s3_kms_key,
-            hmac_key=self.hmac_key,
         )
 
         logger.info(
@@ -110,7 +106,6 @@ def save(self, func, *args, **kwargs):
             obj=(args, kwargs),
             sagemaker_session=self.sagemaker_session,
             s3_uri=s3_path_join(self.func_upload_path, ARGUMENTS_FOLDER),
-            hmac_key=self.hmac_key,
             s3_kms_key=self.s3_kms_key,
         )
 
@@ -128,7 +123,6 @@ def save_pipeline_step_function(self, serialized_data):
         )
         serialization._upload_payload_and_metadata_to_s3(
             bytes_to_upload=serialized_data.func,
-            hmac_key=self.hmac_key,
             s3_uri=s3_path_join(self.func_upload_path, FUNCTION_FOLDER),
             sagemaker_session=self.sagemaker_session,
             s3_kms_key=self.s3_kms_key,
@@ -140,7 +134,6 @@ def save_pipeline_step_function(self, serialized_data):
         )
         serialization._upload_payload_and_metadata_to_s3(
             bytes_to_upload=serialized_data.args,
-            hmac_key=self.hmac_key,
             s3_uri=s3_path_join(self.func_upload_path, ARGUMENTS_FOLDER),
             sagemaker_session=self.sagemaker_session,
             s3_kms_key=self.s3_kms_key,
@@ -156,7 +149,6 @@ def load_and_invoke(self) -> Any:
         func = serialization.deserialize_func_from_s3(
             sagemaker_session=self.sagemaker_session,
             s3_uri=s3_path_join(self.func_upload_path, FUNCTION_FOLDER),
-            hmac_key=self.hmac_key,
         )
 
         logger.info(
@@ -166,7 +158,6 @@ def load_and_invoke(self) -> Any:
         args, kwargs = serialization.deserialize_obj_from_s3(
             sagemaker_session=self.sagemaker_session,
             s3_uri=s3_path_join(self.func_upload_path, ARGUMENTS_FOLDER),
-            hmac_key=self.hmac_key,
         )
 
         logger.info("Resolving pipeline variables")
@@ -174,7 +165,6 @@ def load_and_invoke(self) -> Any:
             self.context,
             args,
             kwargs,
-            hmac_key=self.hmac_key,
             s3_base_uri=self.s3_base_uri,
             sagemaker_session=self.sagemaker_session,
         )
@@ -190,7 +180,6 @@ def load_and_invoke(self) -> Any:
             obj=result,
             sagemaker_session=self.sagemaker_session,
             s3_uri=s3_path_join(self.results_upload_path, RESULTS_FOLDER),
-            hmac_key=self.hmac_key,
             s3_kms_key=self.s3_kms_key,
         )
 
diff --git a/src/sagemaker/remote_function/errors.py b/src/sagemaker/remote_function/errors.py
index 9c91f46061..c97d196a90 100644
--- a/src/sagemaker/remote_function/errors.py
+++ b/src/sagemaker/remote_function/errors.py
@@ -70,7 +70,7 @@ def _write_failure_reason_file(failure_msg):
             f.write(failure_msg)
 
 
-def handle_error(error, sagemaker_session, s3_base_uri, s3_kms_key, hmac_key) -> int:
+def handle_error(error, sagemaker_session, s3_base_uri, s3_kms_key) -> int:
     """Handle all exceptions raised during remote function execution.
 
     Args:
@@ -79,7 +79,6 @@ def handle_error(error, sagemaker_session, s3_base_uri, s3_kms_key, hmac_key) ->
              AWS service calls are delegated to.
         s3_base_uri (str): S3 root uri to which resulting serialized exception will be uploaded.
         s3_kms_key (str): KMS key used to encrypt artifacts uploaded to S3.
-        hmac_key (str): Key used to calculate hmac hash of the serialized exception.
     Returns :
         exit_code (int): Exit code to terminate current job.
     """
@@ -97,7 +96,6 @@ def handle_error(error, sagemaker_session, s3_base_uri, s3_kms_key, hmac_key) ->
         exc=error,
         sagemaker_session=sagemaker_session,
         s3_uri=s3_path_join(s3_base_uri, "exception"),
-        hmac_key=hmac_key,
         s3_kms_key=s3_kms_key,
     )
 
diff --git a/src/sagemaker/remote_function/invoke_function.py b/src/sagemaker/remote_function/invoke_function.py
index 279bf6940b..1cf1eecec0 100644
--- a/src/sagemaker/remote_function/invoke_function.py
+++ b/src/sagemaker/remote_function/invoke_function.py
@@ -98,7 +98,7 @@ def _load_pipeline_context(args) -> Context:
 
 
 def _execute_remote_function(
-    sagemaker_session, s3_base_uri, s3_kms_key, run_in_context, hmac_key, context
+    sagemaker_session, s3_base_uri, s3_kms_key, run_in_context, context
 ):
     """Execute stored remote function"""
     from sagemaker.remote_function.core.stored_function import StoredFunction
@@ -107,7 +107,6 @@ def _execute_remote_function(
         sagemaker_session=sagemaker_session,
         s3_base_uri=s3_base_uri,
         s3_kms_key=s3_kms_key,
-        hmac_key=hmac_key,
         context=context,
     )
 
@@ -138,15 +137,12 @@ def main(sys_args=None):
         run_in_context = args.run_in_context
         pipeline_context = _load_pipeline_context(args)
 
-        hmac_key = os.getenv("REMOTE_FUNCTION_SECRET_KEY")
-
         sagemaker_session = _get_sagemaker_session(region)
         _execute_remote_function(
             sagemaker_session=sagemaker_session,
             s3_base_uri=s3_base_uri,
             s3_kms_key=s3_kms_key,
             run_in_context=run_in_context,
-            hmac_key=hmac_key,
             context=pipeline_context,
         )
 
@@ -162,7 +158,6 @@ def main(sys_args=None):
             sagemaker_session=sagemaker_session,
             s3_base_uri=s3_uri,
             s3_kms_key=s3_kms_key,
-            hmac_key=hmac_key,
         )
     finally:
         sys.exit(exit_code)
diff --git a/src/sagemaker/remote_function/job.py b/src/sagemaker/remote_function/job.py
index 9000ccda08..e874aa89e4 100644
--- a/src/sagemaker/remote_function/job.py
+++ b/src/sagemaker/remote_function/job.py
@@ -583,10 +583,7 @@ def __init__(
             {"AWS_DEFAULT_REGION": self.sagemaker_session.boto_region_name}
         )
 
-        # The following will be overridden by the _Job.compile method.
-        # However, it needs to be kept here for feature store SDK.
-        # TODO: update the feature store SDK to set the HMAC key there.
-        self.environment_variables.update({"REMOTE_FUNCTION_SECRET_KEY": secrets.token_hex(32)})
+
 
         if spark_config and image_uri:
             raise ValueError("spark_config and image_uri cannot be specified at the same time!")
@@ -799,19 +796,17 @@ def _get_default_spark_image(session):
 class _Job:
     """Helper class that interacts with the SageMaker training service."""
 
-    def __init__(self, job_name: str, s3_uri: str, sagemaker_session: Session, hmac_key: str):
+    def __init__(self, job_name: str, s3_uri: str, sagemaker_session: Session):
         """Initialize a _Job object.
 
         Args:
             job_name (str): The training job name.
             s3_uri (str): The training job output S3 uri.
             sagemaker_session (Session): SageMaker boto session.
-            hmac_key (str): Remote function secret key.
         """
         self.job_name = job_name
         self.s3_uri = s3_uri
         self.sagemaker_session = sagemaker_session
-        self.hmac_key = hmac_key
         self._last_describe_response = None
 
     @staticmethod
@@ -827,9 +822,8 @@ def from_describe_response(describe_training_job_response, sagemaker_session):
         """
         job_name = describe_training_job_response["TrainingJobName"]
         s3_uri = describe_training_job_response["OutputDataConfig"]["S3OutputPath"]
-        hmac_key = describe_training_job_response["Environment"]["REMOTE_FUNCTION_SECRET_KEY"]
 
-        job = _Job(job_name, s3_uri, sagemaker_session, hmac_key)
+        job = _Job(job_name, s3_uri, sagemaker_session)
         job._last_describe_response = describe_training_job_response
         return job
 
@@ -867,7 +861,6 @@ def start(job_settings: _JobSettings, func, func_args, func_kwargs, run_info=Non
             job_name,
             s3_base_uri,
             job_settings.sagemaker_session,
-            training_job_request["Environment"]["REMOTE_FUNCTION_SECRET_KEY"],
         )
 
     @staticmethod
@@ -892,18 +885,11 @@ def compile(
 
         jobs_container_entrypoint = JOBS_CONTAINER_ENTRYPOINT[:]
 
-        # generate hmac key for integrity check
-        if step_compilation_context is None:
-            hmac_key = secrets.token_hex(32)
-        else:
-            hmac_key = step_compilation_context.function_step_secret_token
-
         # serialize function and arguments
         if step_compilation_context is None:
             stored_function = StoredFunction(
                 sagemaker_session=job_settings.sagemaker_session,
                 s3_base_uri=s3_base_uri,
-                hmac_key=hmac_key,
                 s3_kms_key=job_settings.s3_kms_key,
             )
             stored_function.save(func, *func_args, **func_kwargs)
@@ -911,7 +897,6 @@ def compile(
             stored_function = StoredFunction(
                 sagemaker_session=job_settings.sagemaker_session,
                 s3_base_uri=s3_base_uri,
-                hmac_key=hmac_key,
                 s3_kms_key=job_settings.s3_kms_key,
                 context=Context(
                     step_name=step_compilation_context.step_name,
@@ -1061,7 +1046,6 @@ def compile(
         request_dict["EnableManagedSpotTraining"] = job_settings.use_spot_instances
 
         request_dict["Environment"] = job_settings.environment_variables
-        request_dict["Environment"].update({"REMOTE_FUNCTION_SECRET_KEY": hmac_key})
 
         extended_request = _extend_spark_config_to_request(request_dict, job_settings, s3_base_uri)
         extended_request = _extend_mpirun_to_request(extended_request, job_settings)
diff --git a/src/sagemaker/workflow/pipeline.py b/src/sagemaker/workflow/pipeline.py
index f111f5e40b..0c60401d7e 100644
--- a/src/sagemaker/workflow/pipeline.py
+++ b/src/sagemaker/workflow/pipeline.py
@@ -1084,7 +1084,6 @@ def get_function_step_result(
         return deserialize_obj_from_s3(
             sagemaker_session=sagemaker_session,
             s3_uri=s3_uri,
-            hmac_key=describe_training_job_response["Environment"]["REMOTE_FUNCTION_SECRET_KEY"],
         )
 
     raise RemoteFunctionError(_ERROR_MSG_OF_STEP_INCOMPLETE)
diff --git a/tests/unit/sagemaker/feature_store/feature_processor/test_config_uploader.py b/tests/unit/sagemaker/feature_store/feature_processor/test_config_uploader.py
index 8193e93708..8536c2d893 100644
--- a/tests/unit/sagemaker/feature_store/feature_processor/test_config_uploader.py
+++ b/tests/unit/sagemaker/feature_store/feature_processor/test_config_uploader.py
@@ -68,7 +68,6 @@ def remote_decorator_config(sagemaker_session):
         pre_execution_commands="some_commands",
         pre_execution_script="some_path",
         python_sdk_whl_s3_uri=SAGEMAKER_WHL_FILE_S3_PATH,
-        environment_variables={"REMOTE_FUNCTION_SECRET_KEY": "some_secret_key"},
         custom_file_filter=None,
     )
 
@@ -91,7 +90,6 @@ def remote_decorator_config_with_filter(sagemaker_session):
         pre_execution_commands="some_commands",
         pre_execution_script="some_path",
         python_sdk_whl_s3_uri=SAGEMAKER_WHL_FILE_S3_PATH,
-        environment_variables={"REMOTE_FUNCTION_SECRET_KEY": "some_secret_key"},
         custom_file_filter=custom_file_filter,
     )
 
@@ -103,7 +101,6 @@ def test_prepare_and_upload_callable(mock_stored_function, config_uploader, wrap
     assert mock_stored_function.called_once_with(
         s3_base_uri="s3_base_uri",
         s3_kms_key=config_uploader.remote_decorator_config.s3_kms_key,
-        hmac_key="some_secret_key",
         sagemaker_session=sagemaker_session,
     )
 
diff --git a/tests/unit/sagemaker/feature_store/feature_processor/test_feature_scheduler.py b/tests/unit/sagemaker/feature_store/feature_processor/test_feature_scheduler.py
index 7b35174940..522bbbde4e 100644
--- a/tests/unit/sagemaker/feature_store/feature_processor/test_feature_scheduler.py
+++ b/tests/unit/sagemaker/feature_store/feature_processor/test_feature_scheduler.py
@@ -309,9 +309,6 @@ def test_to_pipeline(
         input_mode="File",
         environment={
             "AWS_DEFAULT_REGION": "us-west-2",
-            "REMOTE_FUNCTION_SECRET_KEY": job_settings.environment_variables[
-                "REMOTE_FUNCTION_SECRET_KEY"
-            ],
             "scheduled_time": Parameter(
                 name="scheduled_time", parameter_type=ParameterTypeEnum.STRING
             ),
diff --git a/tests/unit/sagemaker/remote_function/core/test_pipeline_variables.py b/tests/unit/sagemaker/remote_function/core/test_pipeline_variables.py
index 422d1949af..211a703cc7 100644
--- a/tests/unit/sagemaker/remote_function/core/test_pipeline_variables.py
+++ b/tests/unit/sagemaker/remote_function/core/test_pipeline_variables.py
@@ -83,13 +83,12 @@ def test_resolve_delayed_returns(mock_deserializer):
         }
     )
     resolver = _DelayedReturnResolver(
-        delayed_returns,
-        "1234",
+        delayed_returns=delayed_returns,
         properties_resolver=_PropertiesResolver(context),
         parameter_resolver=_ParameterResolver(context),
         execution_variable_resolver=_ExecutionVariableResolver(context),
-        sagemaker_session=None,
         s3_base_uri=f"s3://my-bucket/{PIPELINE_NAME}",
+        sagemaker_session=None,
     )
 
     assert resolver.resolve(delayed_returns[0]) == 1
@@ -122,13 +121,12 @@ def test_deserializer_fails(mock_deserializer):
     )
     with pytest.raises(Exception, match="Something went wrong"):
         _DelayedReturnResolver(
-            delayed_returns,
-            "1234",
+            delayed_returns=delayed_returns,
             properties_resolver=_PropertiesResolver(context),
             parameter_resolver=_ParameterResolver(context),
             execution_variable_resolver=_ExecutionVariableResolver(context),
-            sagemaker_session=None,
             s3_base_uri=f"s3://my-bucket/{PIPELINE_NAME}",
+            sagemaker_session=None,
         )
 
 
@@ -149,7 +147,6 @@ def test_no_pipeline_variables_to_resolve(mock_deserializer, func_args, func_kwa
         Context(),
         func_args,
         func_kwargs,
-        hmac_key="1234",
         s3_base_uri="s3://my-bucket",
         sagemaker_session=None,
     )
@@ -275,7 +272,6 @@ def test_resolve_pipeline_variables(
         context,
         func_args,
         func_kwargs,
-        hmac_key="1234",
         s3_base_uri=s3_base_uri,
         sagemaker_session=None,
     )
@@ -285,7 +281,6 @@ def test_resolve_pipeline_variables(
     mock_deserializer.assert_called_once_with(
         sagemaker_session=None,
         s3_uri=s3_results_uri,
-        hmac_key="1234",
     )
 
 
diff --git a/tests/unit/sagemaker/remote_function/core/test_serialization.py b/tests/unit/sagemaker/remote_function/core/test_serialization.py
index e87dc39b59..5069189ea6 100644
--- a/tests/unit/sagemaker/remote_function/core/test_serialization.py
+++ b/tests/unit/sagemaker/remote_function/core/test_serialization.py
@@ -32,7 +32,6 @@
 from tblib import pickling_support
 
 KMS_KEY = "kms-key"
-HMAC_KEY = "some-hmac-key"
 
 
 mock_s3 = {}
@@ -67,13 +66,13 @@ def square(x):
 
     s3_uri = random_s3_uri()
     serialize_func_to_s3(
-        func=square, sagemaker_session=Mock(), s3_uri=s3_uri, s3_kms_key=KMS_KEY, hmac_key=HMAC_KEY
+        func=square, sagemaker_session=Mock(), s3_uri=s3_uri, s3_kms_key=KMS_KEY
     )
 
     del square
 
     deserialized = deserialize_func_from_s3(
-        sagemaker_session=Mock(), s3_uri=s3_uri, hmac_key=HMAC_KEY
+        sagemaker_session=Mock(), s3_uri=s3_uri
     )
 
     assert deserialized(3) == 9
@@ -89,11 +88,10 @@ def test_serialize_deserialize_lambda():
         sagemaker_session=Mock(),
         s3_uri=s3_uri,
         s3_kms_key=KMS_KEY,
-        hmac_key=HMAC_KEY,
     )
 
     deserialized = deserialize_func_from_s3(
-        sagemaker_session=Mock(), s3_uri=s3_uri, hmac_key=HMAC_KEY
+        sagemaker_session=Mock(), s3_uri=s3_uri
     )
 
     assert deserialized(3) == 9
@@ -126,7 +124,6 @@ def train(x):
             sagemaker_session=Mock(),
             s3_uri=s3_uri,
             s3_kms_key=KMS_KEY,
-            hmac_key=HMAC_KEY,
         )
 
 
@@ -153,7 +150,6 @@ def func(x):
             sagemaker_session=Mock(),
             s3_uri=s3_uri,
             s3_kms_key=KMS_KEY,
-            hmac_key=HMAC_KEY,
         )
 
 
@@ -177,7 +173,6 @@ def square(x):
             sagemaker_session=Mock(),
             s3_uri=s3_uri,
             s3_kms_key=KMS_KEY,
-            hmac_key=HMAC_KEY,
         )
 
 
@@ -193,7 +188,7 @@ def square(x):
     s3_uri = random_s3_uri()
 
     serialize_func_to_s3(
-        func=square, sagemaker_session=Mock(), s3_uri=s3_uri, s3_kms_key=KMS_KEY, hmac_key=HMAC_KEY
+        func=square, sagemaker_session=Mock(), s3_uri=s3_uri, s3_kms_key=KMS_KEY
     )
 
     del square
@@ -204,7 +199,7 @@ def square(x):
         + r"RuntimeError\('some failure when loads'\). "
         + r"NOTE: this may be caused by inconsistent sagemaker python sdk versions",
     ):
-        deserialize_func_from_s3(sagemaker_session=Mock(), s3_uri=s3_uri, hmac_key=HMAC_KEY)
+        deserialize_func_from_s3(sagemaker_session=Mock(), s3_uri=s3_uri)
 
 
 @patch("sagemaker.s3.S3Uploader.upload_bytes", new=upload)
@@ -216,14 +211,14 @@ def square(x):
     s3_uri = random_s3_uri()
 
     serialize_func_to_s3(
-        func=square, sagemaker_session=Mock(), s3_uri=s3_uri, s3_kms_key=KMS_KEY, hmac_key=HMAC_KEY
+        func=square, sagemaker_session=Mock(), s3_uri=s3_uri, s3_kms_key=KMS_KEY
     )
     mock_s3[f"{s3_uri}/metadata.json"] = b"not json serializable"
 
     del square
 
     with pytest.raises(DeserializationError, match=r"Corrupt metadata file."):
-        deserialize_func_from_s3(sagemaker_session=Mock(), s3_uri=s3_uri, hmac_key=HMAC_KEY)
+        deserialize_func_from_s3(sagemaker_session=Mock(), s3_uri=s3_uri)
 
 
 @patch("sagemaker.s3.S3Uploader.upload_bytes", new=upload)
@@ -234,15 +229,17 @@ def square(x):
 
     s3_uri = random_s3_uri()
     serialize_func_to_s3(
-        func=square, sagemaker_session=Mock(), s3_uri=s3_uri, s3_kms_key=KMS_KEY, hmac_key=HMAC_KEY
+        func=square, sagemaker_session=Mock(), s3_uri=s3_uri, s3_kms_key=KMS_KEY
     )
+    # Tamper with the payload to trigger integrity check failure
+    mock_s3[f"{s3_uri}/payload.pkl"] = b"tampered data"
 
     del square
 
     with pytest.raises(
         DeserializationError, match=r"Integrity check for the serialized function or data failed."
     ):
-        deserialize_func_from_s3(sagemaker_session=Mock(), s3_uri=s3_uri, hmac_key="invalid_key")
+        deserialize_func_from_s3(sagemaker_session=Mock(), s3_uri=s3_uri)
 
 
 @patch("sagemaker.s3.S3Uploader.upload_bytes", new=upload)
@@ -256,14 +253,14 @@ def __init__(self, x):
 
     s3_uri = random_s3_uri()
     serialize_obj_to_s3(
-        my_data, sagemaker_session=Mock(), s3_uri=s3_uri, s3_kms_key=KMS_KEY, hmac_key=HMAC_KEY
+        my_data, sagemaker_session=Mock(), s3_uri=s3_uri, s3_kms_key=KMS_KEY
     )
 
     del my_data
     del MyData
 
     deserialized = deserialize_obj_from_s3(
-        sagemaker_session=Mock(), s3_uri=s3_uri, hmac_key=HMAC_KEY
+        sagemaker_session=Mock(), s3_uri=s3_uri
     )
 
     assert deserialized.x == 10
@@ -277,13 +274,13 @@ def test_serialize_deserialize_data_built_in_types():
 
     s3_uri = random_s3_uri()
     serialize_obj_to_s3(
-        my_data, sagemaker_session=Mock(), s3_uri=s3_uri, s3_kms_key=KMS_KEY, hmac_key=HMAC_KEY
+        my_data, sagemaker_session=Mock(), s3_uri=s3_uri, s3_kms_key=KMS_KEY
     )
 
     del my_data
 
     deserialized = deserialize_obj_from_s3(
-        sagemaker_session=Mock(), s3_uri=s3_uri, hmac_key=HMAC_KEY
+        sagemaker_session=Mock(), s3_uri=s3_uri
     )
 
     assert deserialized == {"a": [10]}
@@ -295,11 +292,11 @@ def test_serialize_deserialize_none():
 
     s3_uri = random_s3_uri()
     serialize_obj_to_s3(
-        None, sagemaker_session=Mock(), s3_uri=s3_uri, s3_kms_key=KMS_KEY, hmac_key=HMAC_KEY
+        None, sagemaker_session=Mock(), s3_uri=s3_uri, s3_kms_key=KMS_KEY
     )
 
     deserialized = deserialize_obj_from_s3(
-        sagemaker_session=Mock(), s3_uri=s3_uri, hmac_key=HMAC_KEY
+        sagemaker_session=Mock(), s3_uri=s3_uri
     )
 
     assert deserialized is None
@@ -327,7 +324,6 @@ def test_serialize_run(sagemaker_session, *args, **kwargs):
                 sagemaker_session=Mock(),
                 s3_uri=s3_uri,
                 s3_kms_key=KMS_KEY,
-                hmac_key=HMAC_KEY,
             )
 
 
@@ -351,7 +347,6 @@ def test_serialize_pipeline_variables(pipeline_variable):
             sagemaker_session=Mock(),
             s3_uri=s3_uri,
             s3_kms_key=KMS_KEY,
-            hmac_key=HMAC_KEY,
         )
 
 
@@ -377,7 +372,6 @@ def __init__(self, x):
             sagemaker_session=Mock(),
             s3_uri=s3_uri,
             s3_kms_key=KMS_KEY,
-            hmac_key=HMAC_KEY,
         )
 
 
@@ -395,7 +389,7 @@ def __init__(self, x):
     s3_uri = random_s3_uri()
 
     serialize_obj_to_s3(
-        obj=my_data, sagemaker_session=Mock(), s3_uri=s3_uri, s3_kms_key=KMS_KEY, hmac_key=HMAC_KEY
+        obj=my_data, sagemaker_session=Mock(), s3_uri=s3_uri, s3_kms_key=KMS_KEY
     )
 
     del my_data
@@ -407,7 +401,7 @@ def __init__(self, x):
         + r"RuntimeError\('some failure when loads'\). "
         + r"NOTE: this may be caused by inconsistent sagemaker python sdk versions",
     ):
-        deserialize_obj_from_s3(sagemaker_session=Mock(), s3_uri=s3_uri, hmac_key=HMAC_KEY)
+        deserialize_obj_from_s3(sagemaker_session=Mock(), s3_uri=s3_uri)
 
 
 @patch("sagemaker.s3.S3Uploader.upload_bytes", new=upload_error)
@@ -427,7 +421,6 @@ def test_serialize_deserialize_service_error():
             sagemaker_session=Mock(),
             s3_uri=s3_uri,
             s3_kms_key=KMS_KEY,
-            hmac_key=HMAC_KEY,
         )
 
     del my_func
@@ -437,7 +430,7 @@ def test_serialize_deserialize_service_error():
         match=rf"Failed to read serialized bytes from {s3_uri}/metadata.json: "
         + r"RuntimeError\('some failure when read_bytes'\)",
     ):
-        deserialize_func_from_s3(sagemaker_session=Mock(), s3_uri=s3_uri, hmac_key=HMAC_KEY)
+        deserialize_func_from_s3(sagemaker_session=Mock(), s3_uri=s3_uri)
 
 
 @patch("sagemaker.s3.S3Uploader.upload_bytes", new=upload)
@@ -461,11 +454,11 @@ def func_b():
     except Exception as e:
         pickling_support.install()
         serialize_obj_to_s3(
-            e, sagemaker_session=Mock(), s3_uri=s3_uri, s3_kms_key=KMS_KEY, hmac_key=HMAC_KEY
+            e, sagemaker_session=Mock(), s3_uri=s3_uri, s3_kms_key=KMS_KEY
         )
 
     with pytest.raises(CustomError, match="Some error") as exc_info:
-        raise deserialize_obj_from_s3(sagemaker_session=Mock(), s3_uri=s3_uri, hmac_key=HMAC_KEY)
+        raise deserialize_obj_from_s3(sagemaker_session=Mock(), s3_uri=s3_uri)
     assert type(exc_info.value.__cause__) is TypeError
 
 
@@ -489,12 +482,12 @@ def func_b():
         func_b()
     except Exception as e:
         serialize_exception_to_s3(
-            e, sagemaker_session=Mock(), s3_uri=s3_uri, s3_kms_key=KMS_KEY, hmac_key=HMAC_KEY
+            e, sagemaker_session=Mock(), s3_uri=s3_uri, s3_kms_key=KMS_KEY
         )
 
     with pytest.raises(CustomError, match="Some error") as exc_info:
         raise deserialize_exception_from_s3(
-            sagemaker_session=Mock(), s3_uri=s3_uri, hmac_key=HMAC_KEY
+            sagemaker_session=Mock(), s3_uri=s3_uri
         )
     assert type(exc_info.value.__cause__) is TypeError
 
@@ -519,11 +512,11 @@ def func_b():
         func_b()
     except Exception as e:
         serialize_exception_to_s3(
-            e, sagemaker_session=Mock(), s3_uri=s3_uri, s3_kms_key=KMS_KEY, hmac_key=HMAC_KEY
+            e, sagemaker_session=Mock(), s3_uri=s3_uri, s3_kms_key=KMS_KEY
         )
 
     with pytest.raises(ServiceError, match="Some error") as exc_info:
         raise deserialize_exception_from_s3(
-            sagemaker_session=Mock(), s3_uri=s3_uri, hmac_key=HMAC_KEY
+            sagemaker_session=Mock(), s3_uri=s3_uri
         )
     assert type(exc_info.value.__cause__) is TypeError
diff --git a/tests/unit/sagemaker/remote_function/core/test_stored_function.py b/tests/unit/sagemaker/remote_function/core/test_stored_function.py
index 68a05c08a6..c4c69774a9 100644
--- a/tests/unit/sagemaker/remote_function/core/test_stored_function.py
+++ b/tests/unit/sagemaker/remote_function/core/test_stored_function.py
@@ -50,7 +50,6 @@
 )
 
 KMS_KEY = "kms-key"
-HMAC_KEY = "some-hmac-key"
 FUNCTION_FOLDER = "function"
 ARGUMENT_FOLDER = "arguments"
 RESULT_FOLDER = "results"
@@ -96,13 +95,13 @@ def test_save_and_load(s3_source_dir_download, s3_source_dir_upload, args, kwarg
     s3_base_uri = random_s3_uri()
 
     stored_function = StoredFunction(
-        sagemaker_session=session, s3_base_uri=s3_base_uri, s3_kms_key=KMS_KEY, hmac_key=HMAC_KEY
+        sagemaker_session=session, s3_base_uri=s3_base_uri, s3_kms_key=KMS_KEY
     )
     stored_function.save(quadratic, *args, **kwargs)
     stored_function.load_and_invoke()
 
     assert deserialize_obj_from_s3(
-        session, s3_uri=f"{s3_base_uri}/results", hmac_key=HMAC_KEY
+        session, s3_uri=f"{s3_base_uri}/results"
     ) == quadratic(*args, **kwargs)
 
 
@@ -139,7 +138,7 @@ def test_save_with_parameter_of_run_type(
         sagemaker_session=session,
     )
     stored_function = StoredFunction(
-        sagemaker_session=session, s3_base_uri=s3_base_uri, s3_kms_key=KMS_KEY, hmac_key=HMAC_KEY
+        sagemaker_session=session, s3_base_uri=s3_base_uri, s3_kms_key=KMS_KEY
     )
     with pytest.raises(SerializationError) as e:
         stored_function.save(log_bigger, 1, 2, run)
@@ -165,7 +164,6 @@ def test_save_s3_paths_verification(
         sagemaker_session=session,
         s3_base_uri=s3_base_uri,
         s3_kms_key=KMS_KEY,
-        hmac_key=HMAC_KEY,
         context=Context(
             step_name=step_name,
             execution_id=execution_id,
@@ -180,13 +178,11 @@ def test_save_s3_paths_verification(
         sagemaker_session=session,
         s3_uri=(upload_path + FUNCTION_FOLDER),
         s3_kms_key=KMS_KEY,
-        hmac_key=HMAC_KEY,
-    )
+        )
     serialize_obj.assert_called_once_with(
         obj=((3,), {}),
         sagemaker_session=session,
         s3_uri=(upload_path + ARGUMENT_FOLDER),
-        hmac_key=HMAC_KEY,
         s3_kms_key=KMS_KEY,
     )
 
@@ -226,7 +222,6 @@ def test_load_and_invoke_s3_paths_verification(
         sagemaker_session=session,
         s3_base_uri=s3_base_uri,
         s3_kms_key=KMS_KEY,
-        hmac_key=HMAC_KEY,
         context=Context(
             step_name=step_name,
             execution_id=execution_id,
@@ -237,13 +232,12 @@ def test_load_and_invoke_s3_paths_verification(
     stored_function.load_and_invoke()
 
     deserialize_func.assert_called_once_with(
-        sagemaker_session=session, s3_uri=(download_path + FUNCTION_FOLDER), hmac_key=HMAC_KEY
+        sagemaker_session=session, s3_uri=(download_path + FUNCTION_FOLDER)
     )
     deserialize_obj.assert_called_once_with(
         sagemaker_session=session,
         s3_uri=(download_path + ARGUMENT_FOLDER),
-        hmac_key=HMAC_KEY,
-    )
+        )
 
     result = deserialize_func.return_value(
         *deserialize_obj.return_value[0], **deserialize_obj.return_value[1]
@@ -253,7 +247,6 @@ def test_load_and_invoke_s3_paths_verification(
         obj=result,
         sagemaker_session=session,
         s3_uri=(upload_path + RESULT_FOLDER),
-        hmac_key=HMAC_KEY,
         s3_kms_key=KMS_KEY,
     )
 
@@ -283,7 +276,6 @@ def test_load_and_invoke_json_serialization(
         sagemaker_session=session,
         s3_base_uri=s3_base_uri,
         s3_kms_key=KMS_KEY,
-        hmac_key=HMAC_KEY,
         context=Context(
             serialize_output_to_json=serialize_output_to_json,
         ),
@@ -318,13 +310,12 @@ def test_save_and_load_with_pipeline_variable(monkeypatch):
 
     function_step = _FunctionStep(name="func_1", display_name=None, description=None)
     x = DelayedReturn(function_step=function_step)
-    serialize_obj_to_s3(3.0, session, func1_result_path, HMAC_KEY, KMS_KEY)
+    serialize_obj_to_s3(3.0, session, func1_result_path, KMS_KEY)
 
     stored_function = StoredFunction(
         sagemaker_session=session,
         s3_base_uri=s3_base_uri,
         s3_kms_key=KMS_KEY,
-        hmac_key=HMAC_KEY,
         context=Context(
             property_references={
                 "Parameters.a": "1.0",
@@ -356,7 +347,7 @@ def test_save_and_load_with_pipeline_variable(monkeypatch):
 
     func2_result_path = f"{s3_base_uri}/execution-id/func_2/results"
     assert deserialize_obj_from_s3(
-        session, s3_uri=func2_result_path, hmac_key=HMAC_KEY
+        session, s3_uri=func2_result_path
     ) == quadratic(3.0, a=1.0, b=2.0, c=3.0)
 
 
@@ -371,7 +362,6 @@ def test_save_pipeline_step_function(mock_job_settings, upload_payload):
         sagemaker_session=session,
         s3_base_uri=s3_base_uri,
         s3_kms_key=KMS_KEY,
-        hmac_key=HMAC_KEY,
         context=Context(
             step_name="step_name",
             execution_id="execution_id",
diff --git a/tests/unit/sagemaker/remote_function/test_client.py b/tests/unit/sagemaker/remote_function/test_client.py
index de8758bfad..7a70c3ede0 100644
--- a/tests/unit/sagemaker/remote_function/test_client.py
+++ b/tests/unit/sagemaker/remote_function/test_client.py
@@ -54,7 +54,7 @@
 S3_URI = f"s3://{BUCKET}/keyprefix"
 EXPECTED_JOB_RESULT = [1, 2, 3]
 PATH_TO_SRC_DIR = "path/to/src/dir"
-HMAC_KEY = "some-hmac-key"
+
 ROLE_ARN = "arn:aws:iam::555555555555:role/my_execution_role_arn"
 
 
@@ -69,7 +69,7 @@ def describe_training_job_response(job_status):
             "VolumeSizeInGB": 30,
         },
         "OutputDataConfig": {"S3OutputPath": "s3://sagemaker-123/image_uri/output"},
-        "Environment": {"REMOTE_FUNCTION_SECRET_KEY": HMAC_KEY},
+        "Environment": {},
     }
 
 
@@ -1027,7 +1027,7 @@ def test_future_get_result_from_completed_job(mock_start, mock_deserialize):
 def test_future_get_result_from_failed_job_remote_error_client_function(
     mock_start, mock_deserialize
 ):
-    mock_job = Mock(job_name=TRAINING_JOB_NAME, s3_uri=S3_URI, hmac_key=HMAC_KEY)
+    mock_job = Mock(job_name=TRAINING_JOB_NAME, s3_uri=S3_URI)
     mock_start.return_value = mock_job
     mock_job.describe.return_value = FAILED_TRAINING_JOB
 
@@ -1043,7 +1043,7 @@ def test_future_get_result_from_failed_job_remote_error_client_function(
     assert future.done()
     mock_job.wait.assert_called_once()
     mock_deserialize.assert_called_with(
-        sagemaker_session=ANY, s3_uri=f"{S3_URI}/exception", hmac_key=HMAC_KEY
+        sagemaker_session=ANY, s3_uri=f"{S3_URI}/exception"
     )
 
 
@@ -1374,7 +1374,6 @@ def test_get_future_completed_job_deserialization_error(mock_session, mock_deser
     mock_deserialize.assert_called_with(
         sagemaker_session=ANY,
         s3_uri="s3://sagemaker-123/image_uri/output/results",
-        hmac_key=HMAC_KEY,
     )
 
 
diff --git a/tests/unit/sagemaker/remote_function/test_errors.py b/tests/unit/sagemaker/remote_function/test_errors.py
index 399b1aed2e..cb49370334 100644
--- a/tests/unit/sagemaker/remote_function/test_errors.py
+++ b/tests/unit/sagemaker/remote_function/test_errors.py
@@ -20,7 +20,7 @@
 
 TEST_S3_BASE_URI = "s3://my-bucket/"
 TEST_S3_KMS_KEY = "my-kms-key"
-TEST_HMAC_KEY = "some-hmac-key"
+
 
 
 class _InvalidErrorNumberException(Exception):
@@ -76,7 +76,6 @@ def test_handle_error(
         sagemaker_session=sagemaker_session,
         s3_base_uri=TEST_S3_BASE_URI,
         s3_kms_key=TEST_S3_KMS_KEY,
-        hmac_key=TEST_HMAC_KEY,
     )
 
     assert exit_code == expected_exit_code
@@ -87,6 +86,5 @@ def test_handle_error(
         exc=err,
         sagemaker_session=sagemaker_session,
         s3_uri=TEST_S3_BASE_URI + "exception",
-        hmac_key=TEST_HMAC_KEY,
         s3_kms_key=TEST_S3_KMS_KEY,
     )
diff --git a/tests/unit/sagemaker/remote_function/test_invoke_function.py b/tests/unit/sagemaker/remote_function/test_invoke_function.py
index b4500e04e3..23fb5a4201 100644
--- a/tests/unit/sagemaker/remote_function/test_invoke_function.py
+++ b/tests/unit/sagemaker/remote_function/test_invoke_function.py
@@ -25,7 +25,6 @@
 TEST_S3_BASE_URI = "s3://my-bucket/"
 TEST_S3_KMS_KEY = "my-kms-key"
 TEST_RUN_IN_CONTEXT = '{"experiment_name": "my-exp-name", "run_name": "my-run-name"}'
-TEST_HMAC_KEY = "some-hmac-key"
 TEST_STEP_NAME = "training-step"
 TEST_EXECUTION_ID = "some-execution-id"
 FUNC_STEP_S3_DIR = sagemaker_timestamp()
@@ -89,7 +88,6 @@ def mock_session():
     return_value=mock_session(),
 )
 def test_main_success(_get_sagemaker_session, load_and_invoke, _exit_process, _load_run_object):
-    os.environ["REMOTE_FUNCTION_SECRET_KEY"] = TEST_HMAC_KEY
     invoke_function.main(mock_args())
 
     _get_sagemaker_session.assert_called_with(TEST_REGION)
@@ -108,7 +106,6 @@ def test_main_success(_get_sagemaker_session, load_and_invoke, _exit_process, _l
 def test_main_success_with_run(
     _get_sagemaker_session, load_and_invoke, _exit_process, _load_run_object
 ):
-    os.environ["REMOTE_FUNCTION_SECRET_KEY"] = TEST_HMAC_KEY
     invoke_function.main(mock_args_with_run_in_context())
 
     _get_sagemaker_session.assert_called_with(TEST_REGION)
@@ -137,7 +134,6 @@ def test_main_success_with_run(
 def test_main_success_with_pipeline_context(
     _get_sagemaker_session, mock_stored_function, _exit_process, _load_run_object, args
 ):
-    os.environ["REMOTE_FUNCTION_SECRET_KEY"] = TEST_HMAC_KEY
 
     args_input, expected_serialize_output_to_json = args
     invoke_function.main(args_input)
@@ -147,7 +143,6 @@ def test_main_success_with_pipeline_context(
         sagemaker_session=ANY,
         s3_base_uri=TEST_S3_BASE_URI,
         s3_kms_key=TEST_S3_KMS_KEY,
-        hmac_key=TEST_HMAC_KEY,
         context=Context(
             execution_id=TEST_EXECUTION_ID,
             step_name=TEST_STEP_NAME,
@@ -174,7 +169,6 @@ def test_main_success_with_pipeline_context(
 def test_main_failure(
     _get_sagemaker_session, load_and_invoke, _exit_process, handle_error, _load_run_object
 ):
-    os.environ["REMOTE_FUNCTION_SECRET_KEY"] = TEST_HMAC_KEY
     ser_err = SerializationError("some failure reason")
     load_and_invoke.side_effect = ser_err
     handle_error.return_value = 1
@@ -189,7 +183,6 @@ def test_main_failure(
         sagemaker_session=_get_sagemaker_session(),
         s3_base_uri=TEST_S3_BASE_URI,
         s3_kms_key=TEST_S3_KMS_KEY,
-        hmac_key=TEST_HMAC_KEY,
     )
     _exit_process.assert_called_with(1)
 
@@ -205,7 +198,6 @@ def test_main_failure(
 def test_main_failure_with_step(
     _get_sagemaker_session, load_and_invoke, _exit_process, handle_error, _load_run_object
 ):
-    os.environ["REMOTE_FUNCTION_SECRET_KEY"] = TEST_HMAC_KEY
     ser_err = SerializationError("some failure reason")
     load_and_invoke.side_effect = ser_err
     handle_error.return_value = 1
@@ -221,6 +213,5 @@ def test_main_failure_with_step(
         sagemaker_session=_get_sagemaker_session(),
         s3_base_uri=s3_uri,
         s3_kms_key=TEST_S3_KMS_KEY,
-        hmac_key=TEST_HMAC_KEY,
     )
     _exit_process.assert_called_with(1)
diff --git a/tests/unit/sagemaker/remote_function/test_job.py b/tests/unit/sagemaker/remote_function/test_job.py
index f153b5b2ca..d7fbbd7b78 100644
--- a/tests/unit/sagemaker/remote_function/test_job.py
+++ b/tests/unit/sagemaker/remote_function/test_job.py
@@ -68,7 +68,7 @@
 RUNTIME_SCRIPTS_CHANNEL_NAME = "sagemaker_remote_function_bootstrap"
 REMOTE_FUNCTION_WORKSPACE = "sm_rf_user_ws"
 SCRIPT_AND_DEPENDENCIES_CHANNEL_NAME = "pre_exec_script_and_dependencies"
-HMAC_KEY = "some-hmac-key"
+
 
 EXPECTED_FUNCTION_URI = S3_URI + "/function.pkl"
 EXPECTED_OUTPUT_URI = S3_URI + "/output"
@@ -252,10 +252,8 @@
     "ResourceConfig": {
         "InstanceCount": 1,
         "InstanceType": "ml.c4.xlarge",
-        "VolumeSizeInGB": 30,
-    },
-    "OutputDataConfig": {"S3OutputPath": "s3://sagemaker-123/image_uri/output"},
-}
+        "VolumeSizeInGB": 30},
+    "OutputDataConfig": {"S3OutputPath": "s3://sagemaker-123/image_uri/output"}}
 
 TEST_JOB_NAME = "my-job-name"
 TEST_PIPELINE_NAME = "my-pipeline"
@@ -297,20 +295,16 @@ def describe_training_job_response(job_status, disable_output_compression=False)
         "ResourceConfig": {
             "InstanceCount": 1,
             "InstanceType": "ml.c4.xlarge",
-            "VolumeSizeInGB": 30,
-        },
-    }
+            "VolumeSizeInGB": 30}}
 
     if disable_output_compression:
         output_config = {
             "S3OutputPath": "s3://sagemaker-123/image_uri/output",
-            "CompressionType": "NONE",
-        }
+            "CompressionType": "NONE"}
     else:
         output_config = {
             "S3OutputPath": "s3://sagemaker-123/image_uri/output",
-            "CompressionType": "NONE",
-        }
+            "CompressionType": "NONE"}
 
     job_response["OutputDataConfig"] = output_config
 
@@ -359,24 +353,20 @@ def serialized_data():
     return _SerializedData(func=b"serialized_func", args=b"serialized_args")
 
 
-@patch("secrets.token_hex", return_value=HMAC_KEY)
 @patch("sagemaker.remote_function.job.Session", return_value=mock_session())
 @patch("sagemaker.remote_function.job.get_execution_role", return_value=DEFAULT_ROLE_ARN)
-def test_sagemaker_config_job_settings(get_execution_role, session, secret_token):
+def test_sagemaker_config_job_settings(get_execution_role, session):
 
     job_settings = _JobSettings(image_uri="image_uri", instance_type="ml.m5.xlarge")
     assert job_settings.image_uri == "image_uri"
     assert job_settings.s3_root_uri == f"s3://{BUCKET}"
     assert job_settings.role == DEFAULT_ROLE_ARN
     assert job_settings.environment_variables == {
-        "AWS_DEFAULT_REGION": "us-west-2",
-        "REMOTE_FUNCTION_SECRET_KEY": "some-hmac-key",
-    }
+        "AWS_DEFAULT_REGION": "us-west-2"}
     assert job_settings.include_local_workdir is False
     assert job_settings.instance_type == "ml.m5.xlarge"
 
 
-@patch("secrets.token_hex", return_value=HMAC_KEY)
 @patch(
     "sagemaker.remote_function.job._JobSettings._get_default_spark_image",
     return_value="some_image_uri",
@@ -384,7 +374,7 @@ def test_sagemaker_config_job_settings(get_execution_role, session, secret_token
 @patch("sagemaker.remote_function.job.Session", return_value=mock_session())
 @patch("sagemaker.remote_function.job.get_execution_role", return_value=DEFAULT_ROLE_ARN)
 def test_sagemaker_config_job_settings_with_spark_config(
-    get_execution_role, session, mock_get_default_spark_image, secret_token
+    get_execution_role, session, mock_get_default_spark_image
 ):
 
     spark_config = SparkConfig()
@@ -394,9 +384,7 @@ def test_sagemaker_config_job_settings_with_spark_config(
     assert job_settings.s3_root_uri == f"s3://{BUCKET}"
     assert job_settings.role == DEFAULT_ROLE_ARN
     assert job_settings.environment_variables == {
-        "AWS_DEFAULT_REGION": "us-west-2",
-        "REMOTE_FUNCTION_SECRET_KEY": "some-hmac-key",
-    }
+        "AWS_DEFAULT_REGION": "us-west-2"}
     assert job_settings.include_local_workdir is False
     assert job_settings.instance_type == "ml.m5.xlarge"
     assert job_settings.spark_config == spark_config
@@ -434,11 +422,10 @@ def test_sagemaker_config_job_settings_with_not_supported_param_by_spark():
         )
 
 
-@patch("secrets.token_hex", return_value=HMAC_KEY)
 @patch("sagemaker.remote_function.job.Session", return_value=mock_session())
 @patch("sagemaker.remote_function.job.get_execution_role", return_value=DEFAULT_ROLE_ARN)
 def test_sagemaker_config_job_settings_with_configuration_file(
-    get_execution_role, session, secret_token
+    get_execution_role, session
 ):
     config_tags = [
         {"Key": "someTagKey", "Value": "someTagValue"},
@@ -458,9 +445,7 @@ def test_sagemaker_config_job_settings_with_configuration_file(
     assert job_settings.pre_execution_commands == ["command_1", "command_2"]
     assert job_settings.environment_variables == {
         "AWS_DEFAULT_REGION": "us-west-2",
-        "REMOTE_FUNCTION_SECRET_KEY": "some-hmac-key",
-        "EnvVarKey": "EnvVarValue",
-    }
+        "EnvVarKey": "EnvVarValue"}
     assert job_settings.job_conda_env == "my_conda_env"
     assert job_settings.include_local_workdir is True
     assert job_settings.custom_file_filter.ignore_name_patterns == ["data", "test"]
@@ -542,7 +527,6 @@ def test_sagemaker_config_job_settings_studio_image_uri(get_execution_role, sess
 
 
 @patch("sagemaker.experiments._run_context._RunContext.get_current_run", new=mock_get_current_run)
-@patch("secrets.token_hex", return_value=HMAC_KEY)
 @patch("sagemaker.remote_function.job._prepare_and_upload_workspace", return_value="some_s3_uri")
 @patch(
     "sagemaker.remote_function.job._prepare_and_upload_runtime_scripts", return_value="some_s3_uri"
@@ -556,7 +540,6 @@ def test_start(
     mock_runtime_manager,
     mock_script_upload,
     mock_dependency_upload,
-    secret_token,
 ):
 
     job_settings = _JobSettings(
@@ -575,7 +558,6 @@ def test_start(
     mock_stored_function.assert_called_once_with(
         sagemaker_session=session(),
         s3_base_uri=f"{S3_URI}/{job.job_name}",
-        hmac_key=HMAC_KEY,
         s3_kms_key=None,
     )
 
@@ -616,8 +598,7 @@ def test_start(
                 DataSource={
                     "S3DataSource": {
                         "S3Uri": mock_script_upload.return_value,
-                        "S3DataType": "S3Prefix",
-                    }
+                        "S3DataType": "S3Prefix"}
                 },
             ),
             dict(
@@ -625,8 +606,7 @@ def test_start(
                 DataSource={
                     "S3DataSource": {
                         "S3Uri": mock_dependency_upload.return_value,
-                        "S3DataType": "S3Prefix",
-                    }
+                        "S3DataType": "S3Prefix"}
                 },
             ),
         ],
@@ -662,12 +642,11 @@ def test_start(
         EnableNetworkIsolation=False,
         EnableInterContainerTrafficEncryption=True,
         EnableManagedSpotTraining=False,
-        Environment={"AWS_DEFAULT_REGION": "us-west-2", "REMOTE_FUNCTION_SECRET_KEY": HMAC_KEY},
+        Environment={"AWS_DEFAULT_REGION": "us-west-2"},
     )
 
 
 @patch("sagemaker.experiments._run_context._RunContext.get_current_run", new=mock_get_current_run)
-@patch("secrets.token_hex", return_value=HMAC_KEY)
 @patch("sagemaker.remote_function.job._prepare_and_upload_workspace", return_value="some_s3_uri")
 @patch(
     "sagemaker.remote_function.job._prepare_and_upload_runtime_scripts", return_value="some_s3_uri"
@@ -681,8 +660,7 @@ def test_start_with_checkpoint_location(
     mock_runtime_manager,
     mock_script_upload,
     mock_user_workspace_upload,
-    secret_token,
-):
+    ):
 
     job_settings = _JobSettings(
         image_uri=IMAGE,
@@ -707,7 +685,6 @@ def test_start_with_checkpoint_location(
     mock_stored_function.assert_called_once_with(
         sagemaker_session=session(),
         s3_base_uri=f"{S3_URI}/{job.job_name}",
-        hmac_key=HMAC_KEY,
         s3_kms_key=None,
     )
 
@@ -725,16 +702,14 @@ def test_start_with_checkpoint_location(
         RetryStrategy={"MaximumRetryAttempts": 1},
         CheckpointConfig={
             "LocalPath": "/opt/ml/checkpoints/",
-            "S3Uri": "s3://my-bucket/my-checkpoints/",
-        },
+            "S3Uri": "s3://my-bucket/my-checkpoints/"},
         InputDataConfig=[
             dict(
                 ChannelName=RUNTIME_SCRIPTS_CHANNEL_NAME,
                 DataSource={
                     "S3DataSource": {
                         "S3Uri": mock_script_upload.return_value,
-                        "S3DataType": "S3Prefix",
-                    }
+                        "S3DataType": "S3Prefix"}
                 },
             ),
             dict(
@@ -742,8 +717,7 @@ def test_start_with_checkpoint_location(
                 DataSource={
                     "S3DataSource": {
                         "S3Uri": mock_user_workspace_upload.return_value,
-                        "S3DataType": "S3Prefix",
-                    }
+                        "S3DataType": "S3Prefix"}
                 },
             ),
         ],
@@ -779,7 +753,7 @@ def test_start_with_checkpoint_location(
         EnableNetworkIsolation=False,
         EnableInterContainerTrafficEncryption=True,
         EnableManagedSpotTraining=False,
-        Environment={"AWS_DEFAULT_REGION": "us-west-2", "REMOTE_FUNCTION_SECRET_KEY": HMAC_KEY},
+        Environment={"AWS_DEFAULT_REGION": "us-west-2"},
     )
 
 
@@ -819,7 +793,6 @@ def test_start_with_checkpoint_location_failed_with_multiple_checkpoint_location
         )
 
 
-@patch("secrets.token_hex", return_value=HMAC_KEY)
 @patch("sagemaker.remote_function.job._prepare_and_upload_workspace", return_value="some_s3_uri")
 @patch(
     "sagemaker.remote_function.job._prepare_and_upload_runtime_scripts", return_value="some_s3_uri"
@@ -833,8 +806,7 @@ def test_start_with_complete_job_settings(
     mock_runtime_manager,
     mock_bootstrap_script_upload,
     mock_user_workspace_upload,
-    secret_token,
-):
+    ):
 
     job_settings = _JobSettings(
         dependencies="path/to/dependencies/req.txt",
@@ -860,7 +832,6 @@ def test_start_with_complete_job_settings(
     mock_stored_function.assert_called_once_with(
         sagemaker_session=session(),
         s3_base_uri=f"{S3_URI}/{job.job_name}",
-        hmac_key=HMAC_KEY,
         s3_kms_key=KMS_KEY_ARN,
     )
 
@@ -899,8 +870,7 @@ def test_start_with_complete_job_settings(
                 DataSource={
                     "S3DataSource": {
                         "S3Uri": mock_bootstrap_script_upload.return_value,
-                        "S3DataType": "S3Prefix",
-                    }
+                        "S3DataType": "S3Prefix"}
                 },
             ),
             dict(
@@ -908,8 +878,7 @@ def test_start_with_complete_job_settings(
                 DataSource={
                     "S3DataSource": {
                         "S3Uri": mock_user_workspace_upload.return_value,
-                        "S3DataType": "S3Prefix",
-                    }
+                        "S3DataType": "S3Prefix"}
                 },
             ),
         ],
@@ -949,12 +918,12 @@ def test_start_with_complete_job_settings(
         EnableInterContainerTrafficEncryption=False,
         VpcConfig=dict(Subnets=["subnet"], SecurityGroupIds=["sg"]),
         EnableManagedSpotTraining=False,
-        Environment={"AWS_DEFAULT_REGION": "us-west-2", "REMOTE_FUNCTION_SECRET_KEY": HMAC_KEY},
+        Environment={"AWS_DEFAULT_REGION": "us-west-2"},
     )
 
 
 @patch("sagemaker.workflow.utilities._pipeline_config", MOCKED_PIPELINE_CONFIG)
-@patch("secrets.token_hex", MagicMock(return_value=HMAC_KEY))
+
 @patch(
     "sagemaker.remote_function.job._prepare_dependencies_and_pre_execution_scripts",
     return_value="some_s3_uri",
@@ -1019,15 +988,14 @@ def test_get_train_args_under_pipeline_context(
         func_kwargs={
             "c": 3,
             "d": ParameterInteger(name="d", default_value=4),
-            "e": DelayedReturn(function_step, reference_path=("__getitem__", 1)),
-        },
+            "e": DelayedReturn(function_step, reference_path=("__getitem__", 1))},
         serialized_data=mocked_serialized_data,
     )
 
     mock_stored_function_ctr.assert_called_once_with(
         sagemaker_session=session(),
         s3_base_uri=s3_base_uri,
-        hmac_key="token-from-pipeline",
+
         s3_kms_key=KMS_KEY_ARN,
         context=Context(
             step_name=MOCKED_PIPELINE_CONFIG.step_name,
@@ -1073,8 +1041,7 @@ def test_get_train_args_under_pipeline_context(
                 DataSource={
                     "S3DataSource": {
                         "S3Uri": mock_bootstrap_scripts_upload.return_value,
-                        "S3DataType": "S3Prefix",
-                    }
+                        "S3DataType": "S3Prefix"}
                 },
             ),
             dict(
@@ -1082,8 +1049,7 @@ def test_get_train_args_under_pipeline_context(
                 DataSource={
                     "S3DataSource": {
                         "S3Uri": mock_user_dependencies_upload.return_value,
-                        "S3DataType": "S3Prefix",
-                    }
+                        "S3DataType": "S3Prefix"}
                 },
             ),
             dict(
@@ -1091,8 +1057,7 @@ def test_get_train_args_under_pipeline_context(
                 DataSource={
                     "S3DataSource": {
                         "S3Uri": mock_user_workspace_upload.return_value,
-                        "S3DataType": "S3Prefix",
-                    }
+                        "S3DataType": "S3Prefix"}
                 },
             ),
         ],
@@ -1106,8 +1071,7 @@ def test_get_train_args_under_pipeline_context(
                     "results",
                 ],
             ),
-            "KmsKeyId": KMS_KEY_ARN,
-        },
+            "KmsKeyId": KMS_KEY_ARN},
         AlgorithmSpecification=dict(
             TrainingImage=IMAGE,
             TrainingInputMode="File",
@@ -1161,13 +1125,10 @@ def test_get_train_args_under_pipeline_context(
         VpcConfig=dict(Subnets=["subnet"], SecurityGroupIds=["sg"]),
         EnableManagedSpotTraining=False,
         Environment={
-            "AWS_DEFAULT_REGION": "us-west-2",
-            "REMOTE_FUNCTION_SECRET_KEY": "token-from-pipeline",
-        },
+            "AWS_DEFAULT_REGION": "us-west-2"},
     )
 
 
-@patch("secrets.token_hex", return_value=HMAC_KEY)
 @patch(
     "sagemaker.remote_function.job._JobSettings._get_default_spark_image",
     return_value="some_image_uri",
@@ -1192,8 +1153,7 @@ def test_start_with_spark(
     mock_dependency_upload,
     mock_spark_dependency_upload,
     mock_get_default_spark_image,
-    secrete_token,
-):
+    ):
     spark_config = SparkConfig()
     job_settings = _JobSettings(
         spark_config=spark_config,
@@ -1237,8 +1197,7 @@ def test_start_with_spark(
                     "S3DataSource": {
                         "S3Uri": mock_script_upload.return_value,
                         "S3DataType": "S3Prefix",
-                        "S3DataDistributionType": "FullyReplicated",
-                    }
+                        "S3DataDistributionType": "FullyReplicated"}
                 },
             ),
             dict(
@@ -1247,8 +1206,7 @@ def test_start_with_spark(
                     "S3DataSource": {
                         "S3Uri": mock_dependency_upload.return_value,
                         "S3DataType": "S3Prefix",
-                        "S3DataDistributionType": "FullyReplicated",
-                    }
+                        "S3DataDistributionType": "FullyReplicated"}
                 },
             ),
             dict(
@@ -1257,8 +1215,7 @@ def test_start_with_spark(
                     "S3DataSource": {
                         "S3Uri": "config_file_s3_uri",
                         "S3DataType": "S3Prefix",
-                        "S3DataDistributionType": "FullyReplicated",
-                    }
+                        "S3DataDistributionType": "FullyReplicated"}
                 },
             ),
         ],
@@ -1301,7 +1258,7 @@ def test_start_with_spark(
         EnableNetworkIsolation=False,
         EnableInterContainerTrafficEncryption=True,
         EnableManagedSpotTraining=False,
-        Environment={"AWS_DEFAULT_REGION": "us-west-2", "REMOTE_FUNCTION_SECRET_KEY": HMAC_KEY},
+        Environment={"AWS_DEFAULT_REGION": "us-west-2"},
     )
 
 
@@ -1816,8 +1773,7 @@ def test_extend_spark_config_to_request(
                 "/opt/ml/input/data/sagemaker_remote_function_bootstrap/spark_app.py",
             ],
             "TrainingImage": "image_uri",
-            "TrainingInputMode": "File",
-        },
+            "TrainingInputMode": "File"},
         InputDataConfig=[
             {
                 "ChannelName": "conf",
@@ -1825,16 +1781,13 @@ def test_extend_spark_config_to_request(
                     "S3DataSource": {
                         "S3DataType": "S3Prefix",
                         "S3Uri": "config_file_s3_uri",
-                        "S3DataDistributionType": "FullyReplicated",
-                    }
-                },
-            }
+                        "S3DataDistributionType": "FullyReplicated"}
+                }}
         ],
     )
 
 
 @patch("sagemaker.experiments._run_context._RunContext.get_current_run", new=mock_get_current_run)
-@patch("secrets.token_hex", return_value=HMAC_KEY)
 @patch("sagemaker.remote_function.job._prepare_and_upload_workspace", return_value="some_s3_uri")
 @patch(
     "sagemaker.remote_function.job._prepare_and_upload_runtime_scripts", return_value="some_s3_uri"
@@ -1848,8 +1801,7 @@ def test_start_with_torchrun_single_node(
     mock_runtime_manager,
     mock_script_upload,
     mock_dependency_upload,
-    secret_token,
-):
+    ):
 
     job_settings = _JobSettings(
         image_uri=IMAGE,
@@ -1869,7 +1821,6 @@ def test_start_with_torchrun_single_node(
     mock_stored_function.assert_called_once_with(
         sagemaker_session=session(),
         s3_base_uri=f"{S3_URI}/{job.job_name}",
-        hmac_key=HMAC_KEY,
         s3_kms_key=None,
     )
 
@@ -1910,8 +1861,7 @@ def test_start_with_torchrun_single_node(
                 DataSource={
                     "S3DataSource": {
                         "S3Uri": mock_script_upload.return_value,
-                        "S3DataType": "S3Prefix",
-                    }
+                        "S3DataType": "S3Prefix"}
                 },
             ),
             dict(
@@ -1919,8 +1869,7 @@ def test_start_with_torchrun_single_node(
                 DataSource={
                     "S3DataSource": {
                         "S3Uri": mock_dependency_upload.return_value,
-                        "S3DataType": "S3Prefix",
-                    }
+                        "S3DataType": "S3Prefix"}
                 },
             ),
         ],
@@ -1958,12 +1907,11 @@ def test_start_with_torchrun_single_node(
         EnableNetworkIsolation=False,
         EnableInterContainerTrafficEncryption=True,
         EnableManagedSpotTraining=False,
-        Environment={"AWS_DEFAULT_REGION": "us-west-2", "REMOTE_FUNCTION_SECRET_KEY": HMAC_KEY},
+        Environment={"AWS_DEFAULT_REGION": "us-west-2"},
     )
 
 
 @patch("sagemaker.experiments._run_context._RunContext.get_current_run", new=mock_get_current_run)
-@patch("secrets.token_hex", return_value=HMAC_KEY)
 @patch("sagemaker.remote_function.job._prepare_and_upload_workspace", return_value="some_s3_uri")
 @patch(
     "sagemaker.remote_function.job._prepare_and_upload_runtime_scripts", return_value="some_s3_uri"
@@ -1977,8 +1925,7 @@ def test_start_with_torchrun_multi_node(
     mock_runtime_manager,
     mock_script_upload,
     mock_dependency_upload,
-    secret_token,
-):
+    ):
 
     job_settings = _JobSettings(
         image_uri=IMAGE,
@@ -1999,7 +1946,6 @@ def test_start_with_torchrun_multi_node(
     mock_stored_function.assert_called_once_with(
         sagemaker_session=session(),
         s3_base_uri=f"{S3_URI}/{job.job_name}",
-        hmac_key=HMAC_KEY,
         s3_kms_key=None,
     )
 
@@ -2041,8 +1987,7 @@ def test_start_with_torchrun_multi_node(
                     "S3DataSource": {
                         "S3Uri": mock_script_upload.return_value,
                         "S3DataType": "S3Prefix",
-                        "S3DataDistributionType": "FullyReplicated",
-                    }
+                        "S3DataDistributionType": "FullyReplicated"}
                 },
             ),
             dict(
@@ -2051,8 +1996,7 @@ def test_start_with_torchrun_multi_node(
                     "S3DataSource": {
                         "S3Uri": mock_dependency_upload.return_value,
                         "S3DataType": "S3Prefix",
-                        "S3DataDistributionType": "FullyReplicated",
-                    }
+                        "S3DataDistributionType": "FullyReplicated"}
                 },
             ),
         ],
@@ -2090,7 +2034,7 @@ def test_start_with_torchrun_multi_node(
         EnableNetworkIsolation=False,
         EnableInterContainerTrafficEncryption=True,
         EnableManagedSpotTraining=False,
-        Environment={"AWS_DEFAULT_REGION": "us-west-2", "REMOTE_FUNCTION_SECRET_KEY": HMAC_KEY},
+        Environment={"AWS_DEFAULT_REGION": "us-west-2"},
     )
 
 
@@ -2355,7 +2299,6 @@ def test_set_env_multi_node_multi_gpu_mpirun(
 
 
 @patch("sagemaker.experiments._run_context._RunContext.get_current_run", new=mock_get_current_run)
-@patch("secrets.token_hex", return_value=HMAC_KEY)
 @patch("sagemaker.remote_function.job._prepare_and_upload_workspace", return_value="some_s3_uri")
 @patch(
     "sagemaker.remote_function.job._prepare_and_upload_runtime_scripts", return_value="some_s3_uri"
@@ -2369,8 +2312,7 @@ def test_start_with_torchrun_single_node_with_nproc_per_node(
     mock_runtime_manager,
     mock_script_upload,
     mock_dependency_upload,
-    secret_token,
-):
+    ):
 
     job_settings = _JobSettings(
         image_uri=IMAGE,
@@ -2391,7 +2333,6 @@ def test_start_with_torchrun_single_node_with_nproc_per_node(
     mock_stored_function.assert_called_once_with(
         sagemaker_session=session(),
         s3_base_uri=f"{S3_URI}/{job.job_name}",
-        hmac_key=HMAC_KEY,
         s3_kms_key=None,
     )
 
@@ -2432,8 +2373,7 @@ def test_start_with_torchrun_single_node_with_nproc_per_node(
                 DataSource={
                     "S3DataSource": {
                         "S3Uri": mock_script_upload.return_value,
-                        "S3DataType": "S3Prefix",
-                    }
+                        "S3DataType": "S3Prefix"}
                 },
             ),
             dict(
@@ -2441,8 +2381,7 @@ def test_start_with_torchrun_single_node_with_nproc_per_node(
                 DataSource={
                     "S3DataSource": {
                         "S3Uri": mock_dependency_upload.return_value,
-                        "S3DataType": "S3Prefix",
-                    }
+                        "S3DataType": "S3Prefix"}
                 },
             ),
         ],
@@ -2482,12 +2421,11 @@ def test_start_with_torchrun_single_node_with_nproc_per_node(
         EnableNetworkIsolation=False,
         EnableInterContainerTrafficEncryption=True,
         EnableManagedSpotTraining=False,
-        Environment={"AWS_DEFAULT_REGION": "us-west-2", "REMOTE_FUNCTION_SECRET_KEY": HMAC_KEY},
+        Environment={"AWS_DEFAULT_REGION": "us-west-2"},
     )
 
 
 @patch("sagemaker.experiments._run_context._RunContext.get_current_run", new=mock_get_current_run)
-@patch("secrets.token_hex", return_value=HMAC_KEY)
 @patch("sagemaker.remote_function.job._prepare_and_upload_workspace", return_value="some_s3_uri")
 @patch(
     "sagemaker.remote_function.job._prepare_and_upload_runtime_scripts", return_value="some_s3_uri"
@@ -2501,8 +2439,7 @@ def test_start_with_mpirun_single_node_with_nproc_per_node(
     mock_runtime_manager,
     mock_script_upload,
     mock_dependency_upload,
-    secret_token,
-):
+    ):
 
     job_settings = _JobSettings(
         image_uri=IMAGE,
@@ -2523,7 +2460,6 @@ def test_start_with_mpirun_single_node_with_nproc_per_node(
     mock_stored_function.assert_called_once_with(
         sagemaker_session=session(),
         s3_base_uri=f"{S3_URI}/{job.job_name}",
-        hmac_key=HMAC_KEY,
         s3_kms_key=None,
     )
 
@@ -2564,8 +2500,7 @@ def test_start_with_mpirun_single_node_with_nproc_per_node(
                 DataSource={
                     "S3DataSource": {
                         "S3Uri": mock_script_upload.return_value,
-                        "S3DataType": "S3Prefix",
-                    }
+                        "S3DataType": "S3Prefix"}
                 },
             ),
             dict(
@@ -2573,8 +2508,7 @@ def test_start_with_mpirun_single_node_with_nproc_per_node(
                 DataSource={
                     "S3DataSource": {
                         "S3Uri": mock_dependency_upload.return_value,
-                        "S3DataType": "S3Prefix",
-                    }
+                        "S3DataType": "S3Prefix"}
                 },
             ),
         ],
@@ -2614,7 +2548,7 @@ def test_start_with_mpirun_single_node_with_nproc_per_node(
         EnableNetworkIsolation=False,
         EnableInterContainerTrafficEncryption=True,
         EnableManagedSpotTraining=False,
-        Environment={"AWS_DEFAULT_REGION": "us-west-2", "REMOTE_FUNCTION_SECRET_KEY": HMAC_KEY},
+        Environment={"AWS_DEFAULT_REGION": "us-west-2"},
     )
 
 
diff --git a/tests/unit/sagemaker/workflow/test_pipeline.py b/tests/unit/sagemaker/workflow/test_pipeline.py
index d83bebd167..21ee5e75c7 100644
--- a/tests/unit/sagemaker/workflow/test_pipeline.py
+++ b/tests/unit/sagemaker/workflow/test_pipeline.py
@@ -324,7 +324,6 @@ def test_pipeline_execution_result(
         },
         "TrainingJobStatus": "Completed",
         "OutputDataConfig": {"S3OutputPath": s3_output_path},
-        "Environment": {"REMOTE_FUNCTION_SECRET_KEY": "abcdefg"},
     }
     execution.result("stepA")