diff --git a/src/Helpers.jl b/src/Helpers.jl
index 05be5be6f..2b4fb1e5a 100644
--- a/src/Helpers.jl
+++ b/src/Helpers.jl
@@ -49,3 +49,11 @@ resetindex!(gen::IndexCounter) = letter(Threads.atomic_xchg!(gen.counter, 1))
 # if is Complex, extract the parametric type and get the eps of that
 wrap_eps(x) = eps(x)
 wrap_eps(::Type{Complex{T}}) where {T} = eps(T)
+
+struct UnsafeScope
+    refs::Vector{WeakRef}
+
+    UnsafeScope() = new(Vector{WeakRef}())
+end
+
+Base.values(uc::UnsafeScope) = map(x -> x.value, uc.refs)
diff --git a/src/TensorNetwork.jl b/src/TensorNetwork.jl
index b2bdfa761..b471eae6c 100644
--- a/src/TensorNetwork.jl
+++ b/src/TensorNetwork.jl
@@ -41,8 +41,10 @@ struct TensorNetwork <: AbstractTensorNetwork
     tensormap::IdDict{Tensor,Vector{Symbol}}
 
     sorted_tensors::CachedField{Vector{Tensor}}
+    unsafe::Ref{Union{Nothing,UnsafeScope}}
 
-    function TensorNetwork(tensors)
+    # TODO: Find a way to remove the `unsafe` keyword argument from the constructor
+    function TensorNetwork(tensors; unsafe::Union{Nothing,UnsafeScope}=nothing)
         tensormap = IdDict{Tensor,Vector{Symbol}}(tensor => inds(tensor) for tensor in tensors)
 
         indexmap = reduce(tensors; init=Dict{Symbol,Vector{Tensor}}()) do dict, tensor
@@ -53,25 +55,42 @@ struct TensorNetwork <: AbstractTensorNetwork
             dict
         end
 
-        # Check for inconsistent index dimensions
-        for ind in keys(indexmap)
-            dims = map(tensor -> size(tensor, ind), indexmap[ind])
-            length(unique(dims)) == 1 || throw(DimensionMismatch("Index $(ind) has inconsistent dimension: $(dims)"))
+        # Check index size consistency if not inside an `UnsafeScope`
+        if isnothing(unsafe)
+            for ind in keys(indexmap)
+                dims = map(tensor -> size(tensor, ind), indexmap[ind])
+                length(unique(dims)) == 1 ||
+                    throw(DimensionMismatch("Index $(ind) has inconsistent dimension: $(dims)"))
+            end
         end
 
-        return new(indexmap, tensormap, CachedField{Vector{Tensor}}())
+        return new(indexmap, tensormap, CachedField{Vector{Tensor}}(), Ref{Union{Nothing,UnsafeScope}}(unsafe))
     end
 end
 
 TensorNetwork() = TensorNetwork(Tensor[])
 TensorNetwork(tn::TensorNetwork) = tn
 
+get_unsafe_scope(tn::AbstractTensorNetwork) = TensorNetwork(tn).unsafe[]
+function set_unsafe_scope!(tn::AbstractTensorNetwork, uc::Union{Nothing,UnsafeScope})
+    TensorNetwork(tn).unsafe[] = uc
+    return tn
+end
+
 """
     copy(tn::TensorNetwork)
 
 Return a shallow copy of a [`TensorNetwork`](@ref).
 """
-Base.copy(tn::TensorNetwork) = TensorNetwork(tensors(tn))
+function Base.copy(tn::TensorNetwork)
+    new_tn = TensorNetwork(tensors(tn); unsafe=get_unsafe_scope(tn))
+
+    if !isnothing(get_unsafe_scope(tn))
+        push!(get_unsafe_scope(tn).refs, WeakRef(new_tn)) # Register the new copy to the proper UnsafeScope
+    end
+
+    return new_tn
+end
 
 Base.similar(tn::TensorNetwork) = TensorNetwork(similar.(tensors(tn)))
 Base.zero(tn::TensorNetwork) = TensorNetwork(zero.(tensors(tn)))
@@ -261,20 +280,42 @@ function __check_index_sizes(tn)
     return true
 end
 
-const is_unsafe_region = ScopedValue(false) # global ScopedValue for the unsafe region
+Base.in(tn::TensorNetwork, uc::UnsafeScope) = tn ∈ values(uc)
 
-macro unsafe_region(tn, block)
+macro unsafe_region(tn_sym, block)
     return esc(
         quote
-            local old = copy($tn)
+            local old = copy($tn_sym)
+
+            # Create a new UnsafeScope and set it to the current tn
+            local _uc = Tenet.UnsafeScope()
+            Tenet.set_unsafe_scope!($tn_sym, _uc)
+
+            # Register the tensor network in the UnsafeScope
+            push!(Tenet.get_unsafe_scope($tn_sym).refs, WeakRef($tn_sym))
+
+            e = nothing
             try
-                $with($is_unsafe_region => true) do
-                    $block
-                end
+                $(block) # Execute the user-provided block
+            catch e
+                $(tn_sym) = old # Restore the original tensor network in case of an exception
+                rethrow(e)
             finally
-                if !Tenet.__check_index_sizes($tn)
-                    tn = old
-                    throw(DimensionMismatch("Inconsistent size of indices"))
+                if e === nothing
+                    # Perform checks of registered tensor networks
+                    for ref in Tenet.get_unsafe_scope($tn_sym).refs
+                        tn = ref.value
+                        if tn !== nothing && tn ∈ values(Tenet.get_unsafe_scope($tn_sym))
+                            if !Tenet.__check_index_sizes(tn)
+                                $(tn_sym) = old
+
+                                # Set `unsafe` field to `nothing`
+                                Tenet.set_unsafe_scope!($tn_sym, nothing)
+
+                                throw(DimensionMismatch("Inconsistent size of indices"))
+                            end
+                        end
+                    end
                 end
             end
         end,
@@ -292,8 +333,8 @@ function Base.push!(tn::AbstractTensorNetwork, tensor::Tensor)
     tn = TensorNetwork(tn)
     tensor ∈ keys(tn.tensormap) && return tn
 
-    # Only check index sizes if we are not in an unsafe region
-    if !is_unsafe_region[]
+    # Check index sizes if there isn't an active `UnsafeScope` in the Tensor Network
+    if isnothing(get_unsafe_scope(tn))
         for i in Iterators.filter(i -> size(tn, i) != size(tensor, i), inds(tensor) ∩ inds(tn))
             throw(
                 DimensionMismatch("size(tensor,$i)=$(size(tensor,i)) but should be equal to size(tn,$i)=$(size(tn,i))")
diff --git a/test/TensorNetwork_test.jl b/test/TensorNetwork_test.jl
index 73fbea7ac..2d8026782 100644
--- a/test/TensorNetwork_test.jl
+++ b/test/TensorNetwork_test.jl
@@ -708,6 +708,50 @@
                 @test tensors(tn)[1] === a
                 @test tensors(tn)[2] === b
             end
+
+            @testset "copy inside unsafe region" begin
+                tn = TensorNetwork([Tensor(ones(2, 2), [:a, :b]), Tensor(ones(2, 2), [:b, :c])])
+
+                @test_throws DimensionMismatch Tenet.@unsafe_region tn begin
+                    tensor = Tensor(ones(3, 2), [:c, :d])
+                    push!(tn, tensor)
+                    tn2 = TensorNetwork([Tensor(ones(2, 2), [:a, :b]), Tensor(ones(2, 2), [:b, :c])])
+                    push!(tn2, tensor) # tn2 is not specified in @unsafe_region argument
+                    @test length(tensors(tn)) == 3
+                    pop!(tn, tensor)
+                end
+
+                # Here still errors since at the end `tn2` is inconsistent:
+                @test_throws DimensionMismatch Tenet.@unsafe_region tn begin
+                    tensor = Tensor(ones(3, 2), [:c, :d])
+                    push!(tn, tensor)
+                    tn2 = copy(tn)
+                    push!(tn2, tensor)
+                    @test length(tensors(tn)) == 3
+                    pop!(tn, tensor)
+                end
+
+                # Double copy should also throw an error:
+                @test_throws DimensionMismatch Tenet.@unsafe_region tn begin
+                    tensor = Tensor(ones(3, 2), [:c, :d])
+                    push!(tn, tensor)
+                    tn2 = copy(tn)
+                    tn3 = copy(tn2)
+                    push!(tn3, tensor)
+                    @test length(tensors(tn)) == 3
+                    pop!(tn, tensor)
+                end
+
+                Tenet.@unsafe_region tn begin # This should not throw an error
+                    tensor = Tensor(ones(3, 2), [:c, :d])
+                    push!(tn, tensor)
+                    tn2 = copy(tn)
+                    push!(tn2, tensor)  # tn2 is not specified in @unsafe_region
+                    @test length(tensors(tn)) == 3
+                    pop!(tn, tensor)
+                    pop!(tn2, tensor)
+                end
+            end
         end
     end