AI-Driven Predictive Cyber Threat Intelligence for Critical Infrastructure Protection

Adaptive AI-Driven Cybersecurity: From Reactive Detection to Predictive and Continuously Learning Defense

Modern cyber threats evolve faster than static, signature-driven defenses can respond, creating a need for security architectures that can continuously observe, interpret, predict, and adapt to changing attack behavior. This talk presents an adaptive AI-driven cybersecurity approach that combines real-time security tel...

Artificial Intelligence and Cyber Defense: Navigating Emerging Threats in an Interconnected World

Artificial intelligence (AI) has emerged as a transformative force in cybersecurity, offering capabilities that extend far beyond the static, rule-based defenses of the past. Machine learning, deep learning, and natural language processing techniques are increasingly embedded in intrusion detection systems, threat inte...

Real-Time AI-Based Cyber Threat Assessment for Improving Incident Response in U.S. Healthcare and Financial Networks

The increasing sophistication of cyber threats targeting critical infrastructure particularly healthcare and financial systems in the United States demands real-time, intelligent threat detection and automated incident response beyond traditional reactive security models. This study investigates the application of Arti...

AI ELECTRICAL CIVIL AND MECHANICAL ENGINEERING

From Intrusion Detection to Cyberattack Anticipation: A Critical Review of Self-Evolving AI for Pre-Attack Prediction in IoT-Enabled Critical Infrastructure

- The growing integration of Internet of Things technologies into critical infrastructure has expanded cyberattack surfaces while increasing the potential consequences of security failures across essential services. Artificial intelligence has substantially improved intrusion and anomaly detection, yet much of this pro...

Autonomous Cyber Defense Learning Using Reinforcement and Threat Intelligence

The findings demonstrate that integrating reinforcement learning with threat intelligence can provide a highly adaptive and proactive cyber defense mechanism suitable for modern network environments.