Harnessing AI for Enhanced Cybersecurity: Trends, Challenges, and Future Prospects

Abstract

In the era of Artificial Intelligence (AI), it is crucial to understand the impact of AI on cybersecurity. This chapter introduces data-driven security, data analysis and AI to predict, identify, and neutralize security threats, with introduction to AI, Machine Learning (ML) and cyber security and current trends in AI/ML applications for cybersecurity. Furthermore, we will discuss workflows involving information gathering, analysing data, and applying ML techniques for AI security. Later in the chapter, we will discuss the common pitfalls while designing an AI security workflow and how to avoid such pitfalls. In addition to this, the chapter discusses security concerns in contemporary AI systems that emphasize privacy and ethical considerations while balancing technology. Moreover, we'll discuss how AI/ML could secure the aviation, tourism, and hospitality sectors. Finally, the conclusions will provide valuable insights and recommend further exploration and integration with modern technologies.