Machine learning methods and systems for developing security governance recommendations

Abstract

Machine learning methods and systems for developing security governance recommendations are disclosed. An example method includes: accessing threat assessment knowledge data representative of security threats and threat patterns; accessing security solution knowledge data representative of security solutions; obtaining first security state data representing a current security state of a current computing environment; obtaining second security state data representing a future security state for a future secured-by-design computing environment; analyzing, using one or more first trained machine learning (ml) models, one or more of (i) the threat assessment knowledge data, (ii) the security solution knowledge data, (iii) the first security state data, or (iv) the second security state data to develop one or more aspects of a security governance recommendation for the future secured-by-design computing environment; and causing the one or more aspects of the security governance to be displayed on a computing device.