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Importance of Learning Cyber-Security, Threats, and Risks Involved

It is essential to know about the cyber security. It is only by getting to know more about cyber-security that the organization would be in a position to prevent the threats that come with it. Without this knowledge, the organization stands at a risk of losing crucial information to unauthorized people (Buczak & Guven 2016).

Losing the information to unauthorized people risks many aspects of the business. For instance, the information may fall into the hands of competitors, who may use it to the disadvantage of the organization. Again, the loss of information may land the organization in the hands of the defrauders. Many organizations continue to suffer losses due to the infringement of internal affairs by unauthorized people. It is, therefore, imperative that a company learns of cyber security to be able to counter cyber threats.

Strategies for fighting cyber-security threats

One of the information protection strategies that the organization ought to apply is offering training to the employees (Liu et al., 2015). This ought to be continuous to counter the new risks that arise on a daily basis. The lack of proper expertise exposes the employees to the dangers of being lured to giving off confidential information.

The other strategy that ought to be used is data encryption. This involves the use of codes to pass information from one location to another. Only the people who have the respective codes can access the information. This works well in preventing the loss of information in transit.

The information location ought to be limited to authorized people only. In many cases, the loss of confidential information occurs due to the employees’ free access to the same. The free access makes it possible for a crook employee to pass the information to other outsiders (Ball 2017). Therefore, the limitation of computer access and the inducement of passwords work well in protecting the information.


Ball, K. M. (2017). African Union Convention on Cyber Security and Personal Data Protection. International Legal Materials56(1), 164-192.

Buczak, A. L., & Guven, E. (2016). A survey of data mining and machine learning methods for cyber security intrusion detection. IEEE Communications Surveys & Tutorials18(2), 1153-1176.

Liu, Y., Sarabi, A., Zhang, J., Naghizadeh, P., Karir, M., Bailey, M., & Liu, M. (2015, August). Cloudy with a Chance of Breach: Forecasting Cyber Security Incidents. In USENIX Security Symposium (pp. 1009-1024).



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