Recent research in the security of computerized maintenance management systems reveals that conventional cybersecurity mechanisms remain primarily focused on external threats and fail to incorporate the operational specifics of telemetry streams and service log data. Addressing this gap, the present work substantiates the necessity of developing analytical approaches capable of detecting latent vulnerabilities in the information and communication channels of on-demand printing workflows. To this end, an analytical apparatus for real-time vulnerability assessment has been constructed within a multilayered service-oriented architecture. The apparatus integrates models of telemetry, maintenance logs, and risk evaluation into a closed mathematical cycle, thereby enabling a structured transition from heterogeneous big data flows to formalized representations suitable for quantitative analysis. The proposed framework provides metrics-driven insights into the impact of hidden vulnerabilities on production parameters such as throughput stability, workflow continuity, and confidentiality of client orders. Furthermore, it ensures that the outcomes of risk evaluation are directly transformed into executable protection actions, securing information and communication channels in dynamic printing environments.