The proliferation of Artificial Intelligence into the operational frameworks of non-state actors represents a paradigm shift in asymmetric warfare. Currently, standard counter-terrorism constructions often rely on the static matching of keywords and legacy Natural Language Processing (NLP) models, which are inadequate for detecting digitally fragmented, hyper-localised extremist propaganda.

The psychology of terrorism has long been dominated by fragmented explanatory paradigms, including psychopathological models, rational choice theory, social learning frameworks, and structural grievance accounts. While each contributes partial insight, none independently provides a sufficient explanation for terrorist participation.