Muktar Bello

Large Language Model-Assisted Threat-Driven Testing System for Enhanced Cybersecurity Readiness

The proposed Large Language Model-Assisted Threat-Driven Testing System enables security teams, particularly resource-constrained organizations lacking dedicated red-team capabilities, to conduct high-fidelity threat simulation exercises aligned with current adversarial TTPs, without specialized AI expertise, thereby strengthening organizational cyber-readiness at significantly lower cost than traditional security testing approaches.