As the cloud landscape continues to evolve, so do the threats and complexities associated with securing cloud workloads. It’s essential for organisations to adopt a strategy that includes continuous threat monitoring, workload segmentation for simplified traffic inspection, and security solutions that are agile and decoupled from the cloud platform itself.
A cloud workload encompasses all the computing resources and tasks necessary to run applications or services within a cloud computing environment. This broad definition includes a variety of deployment models, with Software-as-a-Service (SaaS) being the most prevalent, followed by Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS). The rapid adoption of these models is evident in the significant growth of cloud workloads.
Security of cloud computing has emerged as an indispensable cornerstone for businesses migrating their operations online. Cloud workloads, encompassing applications and services running in the cloud, are essential assets hosting sensitive information, business secrets, and intellectual property. Their protection is a matter of maintaining the integrity, confidentiality, and availability of workloads in the cloud, positioning cloud workload security as a critical element in an organisation’s cybersecurity strategy. Given the diversity of these workloads, from databases and containers to virtual and physical servers navigating through cloud environments, securing them against cyberattacks ensures organisations can leverage the cloud’s benefits without compromising on security.
Cloud workloads vary widely and can be classified based on several criteria.
Cloud deployment model: Determines how the cloud services are structured and delivered.
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