Forensic Linguistics and the Enhancement of National Security: A Descriptive and Analytical Study of Linguistic Evidence Techniques and Preventive Roles within Arabic Contexts

Abstract

This study examines forensic linguistics as an applied field that interfaces with justice and national security through linguistic-analytic tools that support evidentiary inferences concerning identity, style, voiceprint, and discourse/content analysis across written and spoken data, drawing on recent Arabic scholarship that demonstrates a shift from ad‑hoc procedures to a methodological framework leveraging AI techniques to characterize linguistic patterns and build offender linguistic profiles . Through practical applications such as authorship attribution, stylometric analysis, and voiceprint techniques, the study argues that linguistic evidence gains probative value when triangulated with complementary sources, thus mitigating risks of single-source inference and establishing testable procedural standards. A growing preventive dimension is highlighted in risk forecasting by detecting linguistic indicators of threats, hate speech, and incitement in digital environments, building lexical, syntactic, and pragmatic classification matrices that help authorities differentiate serious from empty threats. The study also addresses ethical-legal challenges regarding privacy, dialect diversity, and cultural variability, proposing an integrative framework for academia–security collaboration to develop professional training, procedural manuals, and national/regional standards for the regulated use of linguistic analysis in investigations and courts, while continuously updating tools to match offenders’ technological evolution. Findings suggest that, when embedded within multi-source evidence systems and supported by machine learning models trained on culturally and dialectally representative data, forensic linguistics can enhance identity attribution accuracy, track violent discourse networks and cybercrimes, and underpin preventive and early‑intervention decisions within rights‑preserving legal frameworks