Securing Industry 4.0: A Business Intelligence-Driven Framework for IoT Risk Management

The rapid adoption of Industry 4.0 technologies has expanded the industrial Internet of Things (IoT) ecosystem, creating new opportunities for automation, efficiency, and data-driven innovation. However, this transformation has also intensified cybersecurity risks, as interconnected devices and real-time data exchanges increase the attack surface of industrial systems. This paper proposes a Business Intelligence (BI)-driven framework for managing IoT security risks in Industry 4.0 environments. The framework integrates advanced analytics, threat intelligence, and predictive modeling to support proactive decision-making and incident response. By leveraging BI tools, organizations can correlate data across operational technology (OT) and information technology (IT) layers to identify vulnerabilities, assess risk exposure, and optimize mitigation strategies. The study highlights how data visualization, automated reporting, and real-time dashboards enhance situational awareness and resilience against cyber threats. Through this approach, industrial enterprises can transform cybersecurity management from a reactive process into a strategic capability that aligns with business performance and operational excellence. The framework also underscores the importance of continuous monitoring, governance, and collaboration among stakeholders to sustain security in the evolving Industry 4.0 landscape.