diff --git a/src/core/include/openvino/pass/pattern/matcher.hpp b/src/core/include/openvino/pass/pattern/matcher.hpp
index bbd7e32b0a1802..659c18be027b1a 100644
--- a/src/core/include/openvino/pass/pattern/matcher.hpp
+++ b/src/core/include/openvino/pass/pattern/matcher.hpp
@@ -62,10 +62,13 @@ class OPENVINO_API Matcher {
     // Avoid implicit string construction from nullptr.
     Matcher(const std::shared_ptr<Node> pattern_node, std::nullptr_t name) = delete;
 
-    Matcher() = default;
-    Matcher(Output<Node>& pattern_node) : m_pattern_node{pattern_node} {}
+    Matcher()
+        : m_match_root{}, m_pattern_node{}, m_pattern_map{}, m_pattern_value_maps{}, m_matched_list{}, m_name{""}, m_strict_mode{false} {}
+    Matcher(Output<Node>& pattern_node)
+        : m_match_root{}, m_pattern_node{pattern_node}, m_pattern_map{}, m_pattern_value_maps{}, m_matched_list{}, m_name{""}, m_strict_mode{false} {}
 
-    Matcher(Output<Node>& pattern_node, const std::string& name) : m_pattern_node(pattern_node), m_name{name} {}
+    Matcher(Output<Node>& pattern_node, const std::string& name)
+        : m_match_root{}, m_pattern_node{pattern_node}, m_pattern_map{}, m_pattern_value_maps{}, m_matched_list{}, m_name{name}, m_strict_mode{false} {}
 
     /// \brief Constructs a Matcher object
     ///
@@ -73,9 +76,7 @@ class OPENVINO_API Matcher {
     /// \param name is a string which is used for logging and disabling a matcher
     /// \param strict_mode forces a matcher to consider shapes and ET of nodes
     Matcher(const Output<Node>& pattern_node, const std::string& name, bool strict_mode)
-        : m_pattern_node(pattern_node),
-          m_name(name),
-          m_strict_mode(strict_mode) {}
+        : m_match_root{}, m_pattern_node{pattern_node}, m_pattern_map{}, m_pattern_value_maps{}, m_matched_list{}, m_name{name}, m_strict_mode{strict_mode} {}
 
     // Some matches should start on a node rather than an output. These three constructors
     // are transition until we work out the right way to do that.
diff --git a/src/plugins/intel_gpu/include/intel_gpu/primitives/resample.hpp b/src/plugins/intel_gpu/include/intel_gpu/primitives/resample.hpp
index 62d32a3619e329..f6e32661974cb8 100644
--- a/src/plugins/intel_gpu/include/intel_gpu/primitives/resample.hpp
+++ b/src/plugins/intel_gpu/include/intel_gpu/primitives/resample.hpp
@@ -15,7 +15,7 @@ namespace cldnn {
 struct resample : public primitive_base<resample> {
     CLDNN_DECLARE_PRIMITIVE(resample)
 
-    resample() : primitive_base("", {}) {}
+    resample() : primitive_base("", {}), scales_port(0) {}
 
     using InterpolateOp = ov::op::util::InterpolateBase;
 
diff --git a/src/plugins/intel_gpu/src/graph/impls/onednn/convolution_onednn.cpp b/src/plugins/intel_gpu/src/graph/impls/onednn/convolution_onednn.cpp
index a11ceef8b0f2dd..a2d3c007e29aa8 100644
--- a/src/plugins/intel_gpu/src/graph/impls/onednn/convolution_onednn.cpp
+++ b/src/plugins/intel_gpu/src/graph/impls/onednn/convolution_onednn.cpp
@@ -121,7 +121,7 @@ struct convolution_onednn : typed_primitive_onednn_impl<convolution> {
 
 private:
     int _zero_point_mask;
-    dnnl::memory::data_type _wzp_data_type;
+    dnnl::memory::data_type _wzp_data_type = dnnl::memory::data_type::undef;
 
 protected:
     std::unique_ptr<primitive_impl> clone() const override {
diff --git a/src/plugins/intel_gpu/src/kernel_selector/kernels/fully_connected/fully_connected_kernel_bf_tiled.cpp b/src/plugins/intel_gpu/src/kernel_selector/kernels/fully_connected/fully_connected_kernel_bf_tiled.cpp
index 02304512637783..890f2ee7fb7619 100644
--- a/src/plugins/intel_gpu/src/kernel_selector/kernels/fully_connected/fully_connected_kernel_bf_tiled.cpp
+++ b/src/plugins/intel_gpu/src/kernel_selector/kernels/fully_connected/fully_connected_kernel_bf_tiled.cpp
@@ -757,6 +757,8 @@ void FullyConnected_bf_tiled::GetUpdateDispatchDataFunc(KernelData& kd) const {
             const auto& prim_params = static_cast<const fully_connected_params&>(params);
 
             size_t quantize_grp_size = get_dynamic_quantize_group_size(prim_params);
+            OPENVINO_ASSERT(quantize_grp_size != 0, "Error: quantize_grp_size is zero.");
+
             size_t output_batch = get_output_aligned_bf_size(prim_params, false).first;
 
             // Get index of the added shape-agnostic kernel
@@ -940,6 +942,7 @@ KernelsData FullyConnected_bf_tiled::GetMultiKernelsData(const Params &params,
     const auto& fc_params = static_cast<const fully_connected_params&>(params);
 
     size_t quantize_grp_size = get_dynamic_quantize_group_size(fc_params);
+    OPENVINO_ASSERT(quantize_grp_size != 0, "Error: quantize_grp_size is zero.");
 
     bool bProperInput = fc_params.inputs[0].GetLayout() == dl;
     if (!bProperInput && !fc_params.inputs[0].PitchesDifferFromLogicalDims()) {
diff --git a/src/plugins/intel_gpu/src/plugin/transformations/kv_cache_fusion.cpp b/src/plugins/intel_gpu/src/plugin/transformations/kv_cache_fusion.cpp
index b97389a7d18c76..8be42a1311094b 100644
--- a/src/plugins/intel_gpu/src/plugin/transformations/kv_cache_fusion.cpp
+++ b/src/plugins/intel_gpu/src/plugin/transformations/kv_cache_fusion.cpp
@@ -63,7 +63,7 @@ KVCacheFusionMatcher::KVCacheFusionMatcher() {
             return false;
 
         // TODO: Support conversion internally
-        if (concat_node->get_output_element_type(0) != past_node->get_output_element_type(0))
+        if (!concat_node || concat_node->get_output_element_type(0) != past_node->get_output_element_type(0))
             return false;
 
         auto variable = past_node->get_variable();