Trustworthy explainable artificial intelligence for resilient cybersecurity applications
Faisal I. Bashir, Ali Alzahrani, Furqan Zahoor · 2025
From the early days of conceptual theories, artificial intelligence (AI) and machine learning (ML) have advanced significantly to become essential components of today's technology civilization. Although effective, the quick development of AI and ML and its integration into several military and civilian applications have also brought forth new difficulties. There is now an urgent need to learn more about how these decisions are produced because some of the latest AI/ML decision-making systems require virtually no human intervention. Explainable artificial intelligence (XAI) is a new area of AI study as a result of this. By helping us better understand the behavior of cyber threats and create more effective defenses, XAI has the potential to completely transform the way we approach network and system security in the realm of cybersecurity. This chapter examines the state of the art in XAI for cybersecurity and looks at the several strategies that have been put out to deal with this significant issue. In the context of cybersecurity, we go over the difficulties and constraints of the available XAI techniques and suggest exciting avenues for further study.