Quantum computing machine learning for security threats

Abstract

Embodiments are disclosed for a method for a security model. The method includes generating a machine learning model that determines probabilities of a plurality of specific techniques, tactics, and procedures (TTPs) for a security domain. The method also includes generating a machine learning model that maps multiple TTPs to a polytope for the security domain. Additionally, the method includes generating a polytope visualization having multiple visualized points in a multi-dimensional space. The visualized points represent corresponding TTPs of a same type and associated probabilities. Further, a disposition of each of the visualized points is based on the determined probabilities and the mapped plurality of TTPs.