abstract

The architecture of the proposed threat intelligence system, covering data preprocessing, training mechanisms, and performance metrics. Empirical analysis illustrates the model’s superiority over traditional methods in detecting zero-day attacks, phishing, and malware intrusions. The paper concludes that AI-powered threat intelligence systems are essential for contemporary cybersecurity frameworks, offering scalable, adaptive, and real-time defense mechanisms that empower organizations to pre-emptively neutralize sophisticated threats and ensure operational continuity.