Proceedings of the International scientific and practical conference ― Cambridge Science and Education Conference‖ (February 23-25, 2026) / Publisher website: www.naukainfo.com. – Cambridge, United Kingdom, 2026. - 289 p.

103 However, the complete digitalisation of accounting and control creates a new critical vulnerability: a rigid dependence of a worker's physical safety on network connection stability and remote server availability. Most existing solutions are built on a strictly centralised architecture, where the terminal acts merely as an executor awaiting confirmation of each transaction from a cloud platform. Under such conditions, a "single point of failure" risk arises: network failures, provider technical errors (e.g., Microsoft Azure [1]), or targeted DDoS attacks lead to "information paralysis" of the system. Analysis of global statistics shows that recovering cloud services after large- scale incidents can take hours, whereas rapid identification of the causes of accidents is possible in only 3% of cases [2, 3]. For an industrial enterprise, blocking a terminal that issues helmets or respirators at the start of a shift is unacceptable, as it not only halts production but also directly violates occupational safety legislation. That is why developing a "smart" vending machine architecture based on edge computing is a relevant scientific task. This allows for transferring decision-making logic directly to the terminal controller, ensuring a transition from the "guaranteed blocking" model to the "guaranteed safety" principle, which is key to preserving personnel's lives and health under any digital environment conditions. To ensure a high level of digital resilience in the proposed system, it is essential to identify and categorise the critical vulnerabilities at each functional stage of its operation. Traditional centralised architectures often overlook specific attack vectors that can lead to a complete "functional paralysis," leaving workers without necessary protection during network failures or cyberattacks. A systematic analysis of these threats, categorised by functional blocks, enables identification of points where a breach or failure could compromise both data integrity and occupational safety. The detailed breakdown of these critical vulnerabilities and their potential impact on the enterprise is presented in Table 1. To address the outlined problem, the paper proposes shifting from a strictly centralised management model to an edge computing approach. This allows for the decentralisation of decision-making logic, providing the PPE distribution terminal