Sophisticated Techniques for Cyber Threat Intelligence and the Application of Artificial Intelligence in Predictive Security Frameworks

Abstract

Cybersecurity has become an essential facet of digital infrastructure due to the increasing sophistication of cyber-attacks. Traditional methods of threat detection and mitigation are no longer sufficient to address the evolving nature of these threats. This paper explores sophisticated techniques for cyber threat intelligence (CTI) and the application of artificial intelligence (AI) in predictive security frameworks. By examining previous studies and original research, this paper highlights how AI-driven solutions, particularly machine learning (ML) and deep learning (DL) models, can enhance predictive capabilities for identifying potential cyber threats before they materialize. The paper also presents two case studies of AI applications in cybersecurity, emphasizing predictive accuracy and real-time response.