Today, as the use of digital technology increases, so does the risk of threat. Traditionally, cyber security has focused on understanding and resolving alerts. But a fine-grained understanding of current and future threats is stil missing.
This week we dive into the world of using complex mathematical tools to help cybersecurity practitioners better understand their environment.
This article focuses on the possibility of using Markov chains to better characterise the links between different vulnerabilities and how to group them together. Once automated, this work could help security analysts make the most of their often limited resources to take defensive decisions. It is interesting to note that all this work is done with the STIX data model, which facilitates the navigation and representation of the data.