Cybersecurity within networks has never been more important than it is nowadays. It is fundamental for those who connect to a network to have a clear picture of the possible risks they face, the vulnerabilities there may be on that network, and the actions they can take as mitigations. This thesis aims to build a system that is able to provide a formal representation of a network, that describes its main characteristics, and with the help of Artificial Intelligence, is able to make inferences about potential vulnerabilities and mitigation techniques to be implemented. In the first part, my attention is focused on network scanning techniques, by which the system must be able to retrieve the information it needs, like nodes, edges, services, protocols.