Network security based on vendor network scoring with dynamic network segmentation

Abstract

Mechanisms are provided for decentralized security orchestration. The mechanisms execute training, for each vendor network in the plurality of vendor networks, on a corresponding vendor network artificial intelligence (AI) computer model. The training is executed with training data collected from a corresponding vendor network over time, where the training data represents transactions occurring within the corresponding vendor network. The trained models are executed on new security information to thereby classify activity in portions of the data processing system as to a security risk level. Fuzzy logic is executed on the classifications to automatically determine if segmentation of the data processing system is to be performed. If segmentation is to be performed, the mechanisms segment/isolate portions having a predetermined security risk level classification.