IEEE P2813/D2, Jun 2020

IEEE P2813/D2, Jun 2020 is a draft standard for Big Data Business Security Risk Assessment (BD BSRA), intended to help organizations evaluate security risk in data-driven business environments. It brings a structured approach to identifying, analyzing, and comparing risks tied to big data systems, where scale, complexity, and rapid information flows can make security decisions difficult. For computing and processing teams, this draft can support more consistent risk assessment practices and clearer control planning.

Overview of IEEE P2813/D2, Jun 2020

IEEE P2813/D2, Jun 2020 focuses on business security risk assessment for big data contexts, where technical infrastructure and business operations are closely linked. The document is relevant to computing and processing environments that handle large, diverse, or fast-moving datasets and need a repeatable way to assess exposure. As a draft standard, it is aimed at establishing common terminology, assessment logic, and security-oriented evaluation practices that may support better internal governance and decision-making.

Typical use cases

This standard may be used when planning or reviewing security risk assessments for big data platforms, analytics workflows, and data-intensive business processes. It is relevant to organizations that manage distributed data storage, large-scale processing pipelines, or cross-functional information systems where security risk must be weighed alongside operational needs. IEEE P2813/D2, Jun 2020 can also support teams documenting assessment criteria, comparing risk levels across business functions, or aligning technical controls with enterprise security requirements.

Why it matters

Big data environments often involve many systems, users, and data paths, which can make security risk difficult to assess consistently. IEEE P2813/D2, Jun 2020 matters because it can help reduce ambiguity in risk evaluation and improve comparability across projects or departments. A structured approach to BD BSRA supports better compliance planning, more disciplined design control, and more reliable procurement or testing decisions when security expectations must be defined in advance.

• Big data security risk assessment
• Business-focused evaluation framework
• Computing and processing context
• Draft standard requirements alignment
• Consistent control and review practices