Natural Language Processing for Cyber Threat Intelligence in a Quantum World
Hewa Majeed Zangana, Firas Mahmood Mustafa, Shuai Li, Jamal N. Al-Karaki
Abstract
The intersection of natural language processing (NLP) and cyber threat intelligence (CTI) is gaining momentum as cybersecurity paradigms evolve to address the challenges posed by quantum computing. This chapter explores how advancements in NLP, particularly through the deployment of large language models (LLMs), can be leveraged to enhance CTI in a quantum-aware context. It discusses the capabilities of NLP systems to process vast amounts of threat data, identify patterns, and predict potential risks while considering the implications of quantum technologies on cybersecurity frameworks. Furthermore, the chapter highlights the role of quantum-aware NLP tools in detecting advanced persistent threats, optimizing response strategies, and ensuring the resilience of digital ecosystems in the face of quantum-enabled cyber threats. By integrating LLMs with quantum computing principles, this research provides insights into the future of CTI and its evolution to counteract complex cyber challenges.