Method and apparatus for predicting attack vulnerability of computer network

An apparatus for predicting an attack vulnerability of a target computer network using a neural network model, the apparatus comprising:

• a processor and a memory, wherein the processor executes a program stored in the memory to perform:
• collecting topology and asset information of a computer network which is created in a virtual environment;
• converting the topology and asset information into a training data set for training the neural network model;
• training the neural network model based on the training data set;
• and
• inferring the attack vulnerability of the target computer network using the trained neural network model.