Cognitive Cyber Threat Intelligence: AI-Driven Behavioural Profiling for Proactive Security

Abstract

The rise of sophisticated cyber threats necessitates a shift from reactive security measures toproactive cyber defense. Cognitive Cyber Threat Intelligence (CCTI) leverages AI-drivenbehavioural profiling to predict and mitigate cyber-attacks before they occur. By analyzing attackerpatterns, threat intelligence data, and real-time system anomalies, CCTI enhances situationalawareness and automates threat detection. This paper explores the integration of machine learning,behavioural analytics, and cognitive computing to develop a dynamic cybersecurity frameworkcapable of adaptive threat intelligence. We also discuss the impact of predictive analytics on cyberdefense strategies and how AI can identify, classify, and neutralize cyber threats with minimal humanintervention. Through case studies and experimental analysis, this research highlights theeffectiveness of CCTI in reducing attack surfaces and strengthening cybersecurity resilience. Thefindings contribute to advancing automated, intelligence-driven security mechanisms that align withmodern cyber defense requirements.