Introduction
Businesses are embracing the use of technology in storing data and processing to achieve efficiency and increase the firm productivity. Organizations use cloud computing technology to store, retrieve, and process data faster to boost the entity performance (Cristea, 2020). Firms that embrace the use of technology also need to overcome numerous security challenges to achieve efficiency and increase the enterprise’s overall productivity. This paper will deal with malicious employees and natural disasters affecting data centers where the entity stores information. Malicious insiders can lead to the loss of crucial information or affect the normal operations of the systems the business uses to store data. The business needs help identifying and dealing with such elements to ensure the enterprises continue normal operations. Besides, organizations using cloud computing technology have large data centers where they store valuable information. The enterprise data storage areas can suffer from natural disasters like fire and floods that can affect business operations. Businesses that desire to achieve efficiency must devise strategies to deal with the two security challenges they face in operations.
Difficulty in dealing with malicious employees
Businesses suffer from malicious employees who aim to expose the entity’s crucial information. The individuals have in-depth knowledge about a specific company but intentionally use the information to affect the integrity of the business (Johnson et al., 2020). The entities have the right to access the firm’s information but misuse the privilege and share crucial data with others or use it for personal gain. Malicious insiders are motivated by monetary gain, reputation damage, and extortion they wish to achieve after engaging in illegal acts. Enterprises find it difficult to deal with such characters as it is difficult to identify them as they pretend to act in the interest of the business.
Individuals act maliciously when they are not valued or mistreated or have personal issues with the business or the business owners. The entity leaks the information to avenge a given action executed by the business management (Serenko, 2024). Enterprises can also suffer from malicious insiders if they have a weak system of dealing with security risks that affect business operations. Individuals can also act maliciously when the entities have excessive privileges to access information. Firms need to control the system and information to allow specific individuals to minimize the cases of individuals using data for personal gain. Organizations also need to keep monitoring and auditing all the information the entity has access to and have a system of malicious activity.
Businesses need to help detect malicious employees as they experience difficulty identifying sudden changes in business operations. The firm must have a strategy for detecting employee changes, as it might help discover malicious entities (Cristea, 2020). Businesses can identify changes when establishing cases of people working fewer or more hours. Business management also experiences challenges in studying the entities’ body language that can help detect behavioral changes. For instance, an entity involved in information theft may be isolated from others from others and prefer working alone. Besides, businesses find analyzing emotional changes that might depict the entity engaging in malicious activities challenging. Organizational leadership needs to have unique strategies for developing a solid relationship with the employees to identify any changes in behavior quickly. Businesses also need help dealing with malicious insiders as they need an elaborate system to ensure that businesses abide by given data security practices. An entity with a sound follow-up system can easily detect and deal with malicious activities that might affect the business’s performance.
Organizations face challenges in dealing with malicious employees as the entities have all the necessary information about the data coming to and leaving the organization at given intervals. The business also finds it challenging to identify the individuals as they always act sometimes and have adequate information about the organization’s weaknesses, making it easy for the entities to access the information (Johnson et al., 2020). The business also needs help dealing with the risks as the individuals executing the attacks have adequate information about the nature of the sensitive data and approaches they can use to gain access to the system. Multiple organizations have suffered from actions of malicious employees who wish to compromise the system for personal gain. For instance, an employee at Yahoo Company stole sensitive information and shared it with a new employer to help the new entity gain a competitive advantage.
The centers suffer from natural disasters.
Organizations that use cloud technology to store data still have large data centers that store large volumes of information. Entities must address all the storage unit issues to minimize interruptions affecting business productivity (Ritchie et al., 2022). Natural disasters still occur and can affect data stored in centers, affecting business operations. Businesses need to create a disaster recovery plan to deal with risks and mitigate the effects of such occurrences on business operations and continuity. A business that secures its data is assured of continuity and can increase productivity, translating to increased profits.
Businesses need to establish if the data center where they store crucial information can suffer from natural disasters and the entity’s strategies in dealing with such an occurrence. The entity should undertake a risk assessment exercise aimed at establishing the potential disasters the enterprise might suffer from after the occurrence of the disaster (Ruiter et al., 2020). The enterprise needs to access the current protection strategy the entity has in place that can help the business in dealing with unplanned occurrences. Besides, the business should identify all the improvements it should implement to tackle all the risks it might suffer from in the event of a disaster. The organization should also develop a disaster checklist to identify all the risks the business might suffer from and devise a strategy for implementing the business plan for dealing with unplanned occurrences.
Organizations that store their data on the cloud still suffer from natural disasters that might affect business operations. Businesses need to have elaborate disaster recovery plans to assist them in dealing with data losses in case of unplanned occurrences (Ritchie et al., 2022). Entities still suffer from natural disasters despite the benefits of storing data in the cloud. Natural disasters affect business operations and disrupt normal activities, affecting firm productivity. For instance, the fire that occurred affected Whisker Lab’s performance, which affected the firm’s operations and led to the loss of vital data stored in the cloud providers’ data centers.
Conclusion
Businesses are embracing the use of cloud computing in the storage, retrieval, and processing of vital information. The entity faces challenges in storing data online, as they seek to improve the enterprise operations. The firm has to deal with the risk of malicious employees who seek to steal the organization’s data and use it for personal gain. The entity also faces the risk of natural disasters that can lead to data losses and interrupt normal operations. Data plays a vital role in any business’s success, necessitating new strategies to deal with challenges associated with data losses. Businesses find it difficult to deal with malicious employees as it is challenging to identify such characters. Enterprises also need elaborate disaster recovery plans as businesses still suffer from natural disasters despite storing data in the cloud.
References
Cristea, L. M. (2020). Current security threats in the national and international context. Journal of accounting and management information systems, 19(2), 351-378.
de Ruiter, M. C., Couasnon, A., van den Homberg, M. J., Daniell, J. E., Gill, J. C., & Ward, P. J. (2020). Why we can no longer ignore consecutive disasters. Earth’s future, 8(3), e2019EF001425.
Johnson, C., Khadka, B., Basnet, R. B., & Doleck, T. (2020). Towards Detecting and Classifying Malicious URLs Using Deep Learning. J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl., 11(4), 31-48.
Ritchie, H., Rosado, P., & Roser, M. (2022). Natural disasters. Our World in Data.
Serenko, A. (2024). The human capital management perspective on quiet quitting: recommendations for employees, managers, and national policymakers. Journal of Knowledge Management, 28(1), 27-43.