SECURIFY presents an innovative occupational safety management solution designed to enhance real-time situational awareness and proactive risk mitigation by seamlessly integrating Internet of Things (IoT) and Building Information Modeling (BIM) technologies. Occupational safety remains a critical concern in industrial environments, requiring robust, low-latency systems to promptly identify hazards and alert workers efficiently [1]. Leveraging a scalable edge-to-cloud computing architecture, underpinned by the ICOS platform [2], SECURIFY significantly reduces response times to safety incidents, enabling immediate, actionable insights for workers and supervisors. The solution integrates diverse IoT sensors—including cameras, gas detectors, noise sensors, and environmental monitors—whose data streams are processed locally at edge nodes utilizing optimized artificial intelligence (AI) algorithms [3]. This local processing ensures minimal latency in hazard detection, facilitating rapid dissemination of safety-critical alerts directly to mobile applications used by field personnel. Moreover, SECURIFY combines real-time sensor data with dynamic BIM-based 3D visualizations, significantly enhancing stakeholders’ ability to quickly interpret, evaluate, and respond to emerging risks within complex environments [4]. Its modular architecture, flexible interoperability, and scalable deployment model demonstrate broad applicability across diverse industrial sectors, from construction sites to manufacturing facilities [5]. Empirical results from recent field trials confirm SECURIFY’s capability to improve worker safety substantially, streamline operational management processes, and ensure compliance with evolving safety regulations and standards [6]. This paper details the developed architecture, technological innovations, deployment methodologies, and evaluation outcomes, providing valuable insights for industry practitioners and academic researchers alike.