diff --git a/src/plugins/auto/src/common.hpp b/src/plugins/auto/src/common.hpp
index e13a5d12850..8fac7e0e5e2 100644
--- a/src/plugins/auto/src/common.hpp
+++ b/src/plugins/auto/src/common.hpp
@@ -74,7 +74,9 @@ struct WorkerInferRequest {
 };
 
 struct ThisRequestExecutor : public ov::threading::ITaskExecutor {
-    explicit ThisRequestExecutor(WorkerInferRequest** ptr, AutoImmediateExecutor::Ptr executor = nullptr): m_workptrptr{ptr}, m_fallback_exec(executor) {}
+    explicit ThisRequestExecutor(WorkerInferRequest** ptr, AutoImmediateExecutor::Ptr executor = nullptr):
+        m_workptrptr{ptr},
+        m_fallback_exec(std::move(executor)) {}
     void run(ov::threading::Task task) override {
         (*m_workptrptr)->m_task = std::move(task);
         (*m_workptrptr)->m_fallback_exec = m_fallback_exec;
diff --git a/src/plugins/auto/src/schedule.cpp b/src/plugins/auto/src/schedule.cpp
index 3fc1aec6fb1..94ad114a91f 100644
--- a/src/plugins/auto/src/schedule.cpp
+++ b/src/plugins/auto/src/schedule.cpp
@@ -102,7 +102,7 @@ void Schedule::generate_workers(const std::string& device, const SoCompiledModel
         worker_request.m_inferrequest->set_callback(
             [worker_request_ptr, this, device, idle_workerrequests_ptr](std::exception_ptr exception_ptr) mutable {
                 IdleGuard<NotBusyPriorityWorkerRequests> idleGuard{worker_request_ptr, *idle_workerrequests_ptr};
-                worker_request_ptr->m_exception_ptr = exception_ptr;
+                worker_request_ptr->m_exception_ptr = std::move(exception_ptr);
                 {
                     auto stop_retry_and_continue = [worker_request_ptr]() {
                         auto captured_task = std::move(worker_request_ptr->m_task);
@@ -154,7 +154,7 @@ Pipeline Schedule::get_async_pipeline(const ISyncInferPtr& infer_request, Worker
                 : m_inferrequest(infer_request),
                   m_worker(worker) {
                 m_inferrequest->set_callback([this](std::exception_ptr exceptionPtr) mutable {
-                    m_exceptionptr = exceptionPtr;
+                    m_exceptionptr = std::move(exceptionPtr);
                     auto capturedTask = std::move(m_task);
                     capturedTask();
                     INFO_RUN([&]() {
diff --git a/src/plugins/auto_batch/src/sync_infer_request.cpp b/src/plugins/auto_batch/src/sync_infer_request.cpp
index 472d81c2cfa..824926c88e6 100644
--- a/src/plugins/auto_batch/src/sync_infer_request.cpp
+++ b/src/plugins/auto_batch/src/sync_infer_request.cpp
@@ -52,7 +52,11 @@ void SyncInferRequest::share_tensors_with_batched_req(const std::set<std::string
         auto batched_tensor = m_batched_request_wrapper->_infer_request_batched->get_tensor(it);
         if (!batched_tensor._so)
             batched_tensor._so = m_batched_request_wrapper->_infer_request_batched._so;
-        res = create_shared_tensor_on_batched_tensor(batched_tensor, name, batched_inputs, m_batch_id, m_batch_size);
+        res = create_shared_tensor_on_batched_tensor(batched_tensor,
+                                                     std::move(name),
+                                                     batched_inputs,
+                                                     m_batch_id,
+                                                     m_batch_size);
         set_tensor(it, res);
     }
 
@@ -62,7 +66,11 @@ void SyncInferRequest::share_tensors_with_batched_req(const std::set<std::string
         auto batched_tensor = m_batched_request_wrapper->_infer_request_batched->get_tensor(it);
         if (!batched_tensor._so)
             batched_tensor._so = m_batched_request_wrapper->_infer_request_batched._so;
-        res = create_shared_tensor_on_batched_tensor(batched_tensor, name, batched_outputs, m_batch_id, m_batch_size);
+        res = create_shared_tensor_on_batched_tensor(batched_tensor,
+                                                     std::move(name),
+                                                     batched_outputs,
+                                                     m_batch_id,
+                                                     m_batch_size);
         set_tensor(it, res);
     }
 }