Response Cyber Security and Risk Management

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Module5post2.docx

by Kruthika Agarwal

Managing the cybersecurity is very important for any type of organization. With the help of proper measurement of the benefits along with the several costs, the analysis of the risks should be done and it should be based in the form of statistics. There should be a clear framework for risk analysis related to the cybersecurity management in an organization (Paté‐Cornell et al., 2018). The analysis should also be based on the system, statistics along with the sequential decision analysis. Cybersecurity is also very much important for certain online services. The risk management should be accessible to both the consumers as well as the providers. Proper framework needs to be established in order to formulate a cybersecurity risk management for the online services (Meszaros & Buchalcevova., 2017). Two of the most important components for the proposed framework are the model of threat and the model of risk. These models are properly designed to make sure it can properly relate to online services and also the cybersecurity attached to it.

Cybersecurity Game is a specific method which has been used in certain softwares which helps to identify the risks associated with the cybersecurity. This method also helps to identify certain measures which can be used to manage the cybersecurity risk (Musman & Turner., 2018). With the help of the cybersecurity game method, systems become much more enhanced and can operate with the lowest amount of risk in the present cyber environment. With the help of a specific model, the score for the risk is calculated. Proper risk management of cybersecurity must include insurances which not only helps to reduce the risks of cyber systems but also provides advantages to certain organizations for their cybersecurity risk management (Shetty et al., 2018). Proper information should be provided to the insurers and there should not be any sort of independent security problems which can cause certain problems with the cybersecurity risk management.

There has been a proper relationship of cybersecurity and risk management. Cybersecurity is very much important for organizations as it helps to protect the servers of the organization as well as the data of the organization. Risk management helps to identify the potential risks that pose a threat to the organizations. It involves certain strategies and plans which needs to be deployed to reduce the risks associated with the cybersecurity. The cybersecurity risk management is mainly conducted in order to make sure that all the risk management tools are properly utilized to determine the intensity of the attack (Lee., 2020). This type of risk management is mainly done with the help of certain professionals. To successfully run a cybersecurity testing service, the organization must make sure to differentiate the assets into more and less valuable. As such, the team for cybersecurity testing will try to find out certain loopholes to prevent any type of unwanted threats.

The concepts that have been discussed in the four articles mostly speaks of developing certain frameworks. Along with this, it also speaks of cybersecurity game method. As an IT manager, these concepts will be utilized in my organization. Various frameworks will be built based on the different types of analysis and specific models which will help to mitigate the threats of cybersecurity.

 

 

References

Lee, I. (2020). Internet of Things (IoT) Cybersecurity: Literature Review and IoT Cyber Risk Management. Future Internet12(9), 157.  https://doi.org/10.3390/fi12090157

Meszaros, J., & Buchalcevova, A. (2017). Introducing OSSF: A framework for online service cybersecurity risk management. computers & security65, 300-313.  https://doi.org/10.1016/j.cose.2016.12.008

Musman, S., & Turner, A. (2018). A game theoretic approach to cyber security risk management. The Journal of Defense Modeling and Simulation15(2), 127-146.  https://doi.org/10.1177%2F1548512917699724

Paté‐Cornell, M. E., Kuypers, M., Smith, M., & Keller, P. (2018). Cyber risk management for critical infrastructure: a risk analysis model and three case studies. Risk Analysis38(2), 226-241.  https://doi.org/10.1111/risa.12844

Shetty, S., McShane, M., Zhang, L., Kesan, J. P., Kamhoua, C. A., Kwiat, K., & Njilla, L. L. (2018). Reducing informational disadvantages to improve cyber risk management. The Geneva Papers on Risk and Insurance-Issues and Practice43(2), 224-238.  https://doi.org/10.1057/s41288-018-0078-3