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Cloud Security
Introduction
Cloud security refers to the integrated technologies and procedures to respond to potential internal and external business threats. Its primary goal is to protect cloud computing infrastructure. It forms an essential element in the spheres of cybersecurity, particularly in the ever-growing digital business world. Enterprises have embraced digital migration in most of their services, so cloud security has become indispensable. Threats to data security are more advanced owing to the evolving data landscape and the complexity of data visibility and access in the cloud through the cloud infrastructure. Rathore et al. (2022) explain that the increase in data storage and exchange over cloud infrastructure comes with significant cyber threats hence a need for enhanced cloud security. The authors reflect on the history of cloud computing and security that date back to the 1990s when the concept of the internet found its way into the computing world. In 2002, Amazon Web Services introduced cloud services to the public where everyone could access shareable data. This way, the concept of the cloud was born, integrating two elements: the hosting organization and the host. Hosting organizations manage the data centers, and the cloud security concept primarily falls within the confines of hosting organizations (Rathore et al., 2022).
Key Elements of Cloud Security
Monitoring
Cloud security monitoring involves the supervision of physical and virtual servers to identify possible vulnerabilities and threats. It analyzes data-related behaviors, associated infrastructure, and applications. Monitoring happens using management tools that collect logs from servers that are then subjected to analysis to detect any forms of unusual behaviors hence determining the response (Coombs, 2022). The author explains that monitoring security in the cloud environment after releasing any product is essential. It aids in identifying new errors. Coombs notes that one of the most common cloud security monitoring approaches occurs by analyzing the logs in the cloud environment. While this is new to many providers, Coombs explains that it remains one of the most convenient approaches to cloud security monitoring.
It is important to note that most preliminary cloud security monitoring approaches are manual, owing to the security triggers in the cloud environment and the zero trust security feature. However, automated monitoring can be included after continuous cloud testing to establish trust, simplifying the process. The zero trust theory that limits the automation of monitoring processes is crucial in countering cyber security threats such as external intrusion. When integrity is attained among cloud users, the trust levels are replicated in the cloud environment (Coombs, 2022). The author adds that cloud security monitoring, particularly real-time, has associated risks. For instance, new exploits can go unnoticed until patching has occurred. Besides, the activities of hackers make it challenging for cloud security monitoring infrastructure to achieve its objectives with certainty.
Segmentation
Cloud security segmentation refers to security strategies that dictate packet filtering to determine data interaction between various points in a network. Besser (2020) explains that segmentation introduces policies to initiate controls in the environment, infrastructure, and scope of application. Through segmentation, various privileges can be defined to determine how users interact with the data in the network. For instance, the least privilege principle can be deployed through segmentation in the cloud environment, providing a more robust cloud security approach...…can be denied making it challenging for automated patching to fix the cyberattacks and instead resort to suspension of services. For this reason, constant monitoring and vulnerability management are essential to minimize the risk of full-blown cyberattacks.
Identity Access Management
Identify Access Management (IAM) integrates permission policies for cloud resources and users to determine what can be accessed and how the resources should be utilized. Through IAM strategies, players in cloud security can cooperate at different access levels, making it possible to collaborate without compromising security that would otherwise occur if the stakeholders had no regulated resource management method (Khanna et al., 2022). The authors add that through IAM, organizations enjoy enhanced cloud security because of restricted permissions, especially when executing critical data processes. IAM system generates a unique ID that serves as the user authentication tool. Besides, it integrates security features on how passwords should be structured, preventing cyberattacks such as stealing passwords. The authors emphasize that the central infrastructure in securing the cloud is IAM because of its inherent nature that offers more security than just a password-username combination. IAM provides an infrastructure for digital identity management. The authors note that IAM can come in different forms as a single unit or a combination of multiple processes as a cloud security tool. Still, the fundamental goal is to establish controls for data access by capturing what a user knows, has, or is hence giving them unique identifiers. While IAM provides a strong security layer for accessing cloud resources, Khanna et al.(2022) explain that many cyberattacks target users hence a need to adopt recommended practices. For instance, the…
References
Besser, S. (2020, November). Improving Security in the Cloud with Micro-Segmentation. Amazon. Retrieved August 17, 2022, from https://aws.amazon.com/blogs/apn/improving-security-in-the-cloud-with-micro-segmentation/
Coombs, T. (2022). Cloud Security for Dummies. John Wiley & Sons.
Khanna, K., Estrela, V. V., & Puga Coelho Rodrigues Joel Jose?. (2022). Cyber Security and Digital Forensics: Proceedings of Iccsdf 2021. Springer.
Ransome, J., & Schoenfield, B. (2021). Building in security at Agile Speed. CRC Press.
Rathore, P. S., Dutt, V., Agrawal, R., Sasubilli, S. M., & Swarna, S. R. (2022). Deep learning approaches to cloud security. Wiley-Scrivener.
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