Published Paper Details:

This review discusses how artificial intelligence (AI) is revolutionizing cybersecurity by improving threat detection and response mechanisms. AI-based methods, more so machine learning and deep learning, have immensely enhanced the capacity for detecting and countering threats like network intrusions, adversarial attacks, and zero-day vulnerabilities. One of the main themes of this research focuses on the necessity of explainability and resilience within AI models to provide trust and reliability in security applications. The examination spans sectors such as Industry 5.0, Internet of Things (IoT), 5G networks, and autonomous vehicles, highlighting the adaptability of AI in solving security issues across industries. Sophisticated methods like transformer-based models, federated learning, and blockchain integration open doors for more effective and real-time threat detection systems.D espite such progress, various challenges persist, including managing large data, ensuring real-time threat reaction, and ensuring privacy and security. Although there has been significant progress, research and cooperation need to continue in order to maximize the strengths of AI in protecting digital systems.