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A cloud workload refers to the application software or services that are deployed and run on cloud infrastructure or platform. It can include a variety of computing tasks such as processing data, running applications, or performing computations, depending on the type of workload. Cloud workloads are typically virtualized and managed within cloud environments, utilizing resources like compute, storage, and networking provided by the cloud infrastructure or platform.

A network of servers connected to execute processes refers more to the underlying infrastructure, not the workload itself. A collection of physical hardware used to run applications describes the infrastructure, not the workload. A single software application hosted on the cloud is a partial description but doesn't capture the broader concept of workloads, which could include multiple services or applications.

Cloud sprawl leads to the distribution of assets across multiple locations, making it challenging to maintain visibility and security control over all resources. Reference: [Security Guidance v5, Domain 4 - Organization Management]

Automating security and compliance checks helps minimize human error in long-running cloud workloads by continuously monitoring for security vulnerabilities, misconfigurations, or compliance issues without relying on manual intervention. This approach ensures consistent, repeatable security processes and can quickly identify and address potential risks, reducing the chances of oversight or mistakes that might occur with manual management.

Manual audits and restrictions can help but do not fully address the continuous nature of cloud workload security, which is why automation is critical for minimizing errors in long-running workloads.