Cyber-Resilient Smart Factories: BI-Augmented Security for Industrial Control Systems (ICS)

The rapid evolution of Industry 4.0 has transformed traditional manufacturing systems into interconnected, data-driven smart factories. These cyber-physical environments rely heavily on Industrial Control Systems (ICS), Supervisory Control and Data Acquisition (SCADA) platforms, and Industrial Internet of Things (IIoT) devices to enable real-time process automation and optimization. However, this digital interconnectivity also exposes critical assets to sophisticated cyber threats capable of disrupting production, compromising data integrity, and endangering human safety. This paper explores the concept of cyber-resilient smart factories through the integration of Business Intelligence (BI)-augmented security frameworks for ICS environments. It emphasizes how BI-driven analytics can enhance threat visibility, predictive maintenance, and adaptive response mechanisms, thereby fortifying industrial networks against both external and insider attacks. The study proposes a layered security model that combines BI insights with anomaly detection, behavioral analysis, and automated recovery to achieve operational continuity and data-driven decision-making. By merging resilience engineering with intelligent analytics, smart factories can move beyond traditional cybersecurity postures toward proactive, self-healing infrastructures that sustain productivity even under cyber stress.