IEEE 2813-2020
IEEE Standard for Big Data Business Security Risk Assessment
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- Language: English
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- Language: English
- License Type: Enterprise / Multi User
- Updates: Included
About This Item
IEEE 2813-2020 is the standard for Big Data Business Security Risk Assessment, providing a structured way to evaluate security risk in data-intensive business environments. It is relevant where computing and processing systems handle large-scale data assets, supporting clearer decisions about exposure, controls, and residual risk. For organizations that depend on big data workflows, IEEE 2813-2020 helps bring consistency to assessment practices and improves alignment between technical operations and business security requirements.
About IEEE 2813-2020
IEEE 2813-2020 addresses the security risk assessment of big data business environments, where large and often distributed datasets can create complex exposure points. The standard is useful as a technical reference for identifying, analyzing, and comparing risks associated with data collection, storage, processing, and access. It is intended to support more disciplined evaluation methods, especially when computing systems must balance operational needs with security requirements. As a current active standard, IEEE 2813-2020 is a practical document for organizations seeking a clearer assessment framework.
Where is IEEE 2813-2020 used?
This standard is commonly used in big data programs that rely on large-scale analytics platforms, distributed processing systems, and business data environments with multiple access paths. It may also be relevant in enterprise IT, data governance, and security review workflows where risk must be assessed before deployment or change approval. IEEE 2813-2020 is particularly useful when teams need a common basis for reviewing data pipelines, platform configurations, and security controls across computing and processing operations.
Importance in practice
In practice, IEEE 2813-2020 helps teams assess security risk in a repeatable way, which can improve consistency across design, review, and procurement decisions. A defined assessment approach supports better control selection, clearer documentation, and more reliable comparison of risk across big data systems. It may also reduce ambiguity during testing and audit preparation by giving stakeholders a shared technical reference. For organizations managing sensitive data flows, the standard can support stronger governance and more informed risk reduction.
- Big data security risk assessment
- Computing and processing context
- Business data exposure review
- Control selection and documentation
- Active IEEE standard in English
- Publication Date: 2021
- Standard Status: Active
- Publisher: IEEE
- Subject: Computing and Processing; General Topics for Engineers
- Official IEEE: Doi link
- This Version: 2813 (2021)
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