In this paper, a comparison of various cybersecurity models which includes Critical Model (CM), Resilience Model (RM), Cybersecurity Model (CSM), Infrastructure Model (IM), and a newly proposed model is performed in detail in three key stages of risk management process including identification, assessment, and mitigation. The measurements that were assessed to measure performance included the efficiency of detection, the accuracy of assessment and the efficacy in mitigation and this was done by applying a different input size to real-time environments in the industry. The calculated experimental results indicate that a proposed model outperforms traditional ones constantly. As an example, during risk identification, it scored a maximum of 80 and used 15 inputs, which is above all the other baseline models. Likewise, at the risk assessment stage, the proposed model led with a high recording 99 at 500 inputs as compared to others that were behind. At mitigation stage, it had an efficiency score of 92 using only 10 inputs and this demonstrated its high responsiveness. The results affirm that the proposed model offers improved scale, flexibility, and real-time responsiveness, and thus will be an effective candidate in the sector of industrial cybersecurity implementation.