Business Intelligence Threat Detection Through Advanced AI and ML
Faisal Asad Farid Aburub, Ammar Almomani · 2025
Business intelligence (BI) systems are integral to strategic and operational decision-making in contemporary data-driven organizations. As these platforms accumulate increasingly large and intricate datasets, they become prime targets for sophisticated cyber threats. This chapter examines how artificial intelligence (AI) and machine learning (ML) methods fortify the security of BI environments and mitigate the escalating incidence of advanced attacks. The discussion reviews BI's evolution from static reporting functionalities to dynamic, real-time analytics, a transformation that parallels increased vulnerabilities and novel adversarial tactics. It then analyzes the theoretical foundations of AI- and ML-based threat detection, encompassing anomaly detection, adversarial machine learning defenses, and explainable AI (XAI).