Scalable logical attack graph generation for enterprise networks through endpoint data

This research paper describes a method for creating attack graphs (visual maps showing how attackers could move through a company's computer network) by using data collected from endpoint devices (individual computers and servers). The approach is designed to scale efficiently, meaning it can handle large enterprise networks without becoming too slow or resource-intensive. The work was published in October 2026 in the journal Computers & Security.