AI in Enhancing Cyber Security Protocols

Abstract: As cyber threats grow in complexity and frequency, traditional security systems often fall short in detecting and responding to sophisticated attacks. Artificial Intelligence (AI) has emerged as a transformative force in cyber security, offering advanced capabilities for threat detection, anomaly identification, and real-time response. This paper explores how AI technologies such as machine learning, natural language processing, and neural networks are being integrated into cyber security protocols to enhance their efficiency and adaptability. We discuss current AI-driven applications, including intrusion detection systems, behavioral analysis, and automated threat intelligence. Furthermore, we address challenges such as adversarial AI, ethical concerns, and data privacy implications. The study concludes that while AI significantly strengthens cyber security infrastructures, continuous innovation and regulation are required to manage the evolving threat landscape effectively.