DCH-37.4: Association of Attributes By Authorized Individuals
Mechanisms exist to provide the capability to associate cybersecurity and data protection attributes with individuals and objects by authorized individuals (or processes acting on behalf of individuals).
Renumbered: Formerly DCH-05.4 in SCF 2025.4.
Control Question: Does the organization provide the capability to associate cybersecurity and data protection attributes with individuals and objects by authorized individuals (or processes acting on behalf of individuals)?
General (2)
| Framework | Mapping Values |
|---|---|
| NIST 800-53 R5.2 | AC-16(04) |
| NIST 800-82 R3 | AC-16(04) |
Capability Maturity Model
Level 0 — Not Performed
Practices are non-existent, based on the inability to demonstrate an implemented and operational capability. A reasonable person would conclude the control is not being performed.
Level 1 — Performed Informally
SCR-CMM Level 1 criteria definitions are not available for this control: ▪ A reasonable person would conclude this control requires a structured process. ▪ At this level of maturity, the "ad hoc" nature of performing a capability informally would indicate the intent of the control is not met due to a lack of consistency and formality.
Level 2 — Planned & Tracked
Data Classification & Handling (DCH) capabilities are requirements-driven, but are not standardized across the entity (e.g., local/regional level consistency). Capability criteria associated with this control reasonably expect the following criteria to exist: ▪ Policies and standards associated with DCH domain capabilities are formally documented and centrally-managed by the entity. ▪ Standardized Operating Procedures (SOP) associated with DCH domain capabilities are documented and maintained by process owners. ▪ IT and/or cybersecurity personnel work with business stakeholders and process owners to appropriately scope and reasonably implement cybersecurity and data protection controls associated with DCH domain capabilities to address applicable statutory, regulatory and/or contractual requirements for Technology Assets, Applications, Services and/or Data (TAASD). ▪ Data classification and handling-related controls are primarily administrative and preventative in nature (e.g., policies, standards and procedures & guidelines). ▪ Data classification and handling management may be a defined function (e.g., team or department) or assigned as an additional duty to existing IT and/or cybersecurity personnel. ▪ A formalized data classification scheme exists to identify categories of data, based on protection requirements from applicable laws, regulations and/or contractual obligations.
Level 3 — Well Defined
Data Classification & Handling (DCH) capabilities are standardized across the entity for applicability to People, Processes, Technologies, Data and/or Facilities (PPTDF) to ensure consistency for Technology Assets, Applications, Services and/or Data (TAASD). Capability criteria associated with this control reasonably expect the following criteria to exist: ▪ Policies and standards associated with DCH domain capabilities are formally documented and centrally-managed by the entity's Governance, Risk & Compliance (GRC) team, or similar function. ▪ Standardized Operating Procedures (SOP) associated with DCH domain capabilities are well-documented and kept current by process owners. ▪ A Governance, Risk & Compliance (GRC) team, or similar function, is appropriately staffed and supported to implement and maintain DCH domain capabilities. ▪ Technology is leveraged to enhance the efficiency and accuracy of data classification and handling operations (e.g., GRC platform). ▪ The entity's Governance, Risk & Compliance (GRC) team, or similar function, works with business stakeholders and process owners to appropriately scope and reasonably implement cybersecurity and data protection controls associated with DCH domain capabilities to address Minimum Compliance Requirements (MCR) (e.g., applicable statutory, regulatory and/or contractual requirements) and Discretionary Security Requirements (DSR) (e.g., entity-required controls). ▪ An implemented and operational capability exists to provide the capability to associate cybersecurity and data protection attributes with individuals and objects by authorized individuals (or processes acting on behalf of individuals).
Level 4 — Quantitatively Controlled
Data Classification & Handling (DCH) capabilities, in addition to being standardized across the entity and centrally managed to ensure consistency across Technology Assets, Applications, Services and/or Data (TAASD), efforts are metrics driven to provide sufficient insight for decision makers to predict optimal performance, ensure continued operations and/or identify areas for improvement. Capability criteria associated with this control reasonably expect the following criteria to exist: ▪ Applicable SCR-CMM Level 3 (Well Defined) capabilities are implemented and operational. ▪ Metrics reporting includes quantitative analysis of Key Performance Indicators (KPIs). ▪ Metrics reporting includes quantitative analysis of Key Risk Indicators (KRIs). ▪ Scope of metrics, KPIs and KRIs covers organization-wide cybersecurity and data protection controls, including functions performed by third-parties. ▪ Organizational leadership maintains a formal process to objectively review and respond to metrics, KPIs and KRIs (e.g., monthly or quarterly review). ▪ Based on metrics analysis, process improvement recommendations are submitted for review and are handled in accordance with change control processes. ▪ Business and technical stakeholders are involved in reviewing and approving proposed changes to evolve capabilities.
Level 5 — Continuously Improving
Utilize SCR-CMM Level 3 or Level 4 (if available) criteria definitions: ▪ There are no defined Level 5 criteria, since it is reasonable to assume a continuously-improving process is not necessary to operationalize this control. ▪ Level 5 capabilities should be considered “world-class” where the control builds on Level 4 capabilities, but are continuously improving through Artificial Intelligence (AI) and/or Machine Learning (ML) technologies. ▪ While it may be possible to develop responsive capabilities for this control through the use of AI and/or ML technologies, the criteria would be organization-specific to define.
Assessment Objectives
- DCH-37.4_A01 cybersecurity / data privacy attributes associated with subjects by authorized individuals (or processes acting on behalf of individuals) are defined.
- DCH-37.4_A02 cybersecurity / data privacy attributes associated with objects by authorized individuals (or processes acting on behalf of individuals) are defined.
- DCH-37.4_A03 subjects requiring the association of cybersecurity / data privacy attributes by authorized individuals (or processes acting on behalf of individuals) are defined.
- DCH-37.4_A04 objects requiring the association of cybersecurity / data privacy attributes by authorized individuals (or processes acting on behalf of individuals) are defined.
- DCH-37.4_A05 authorized individuals (or processes acting on behalf of individuals) are provided with the capability to associate organization-defined cybersecurity / data privacy attributes with organization-defined subjects.
- DCH-37.4_A06 authorized individuals (or processes acting on behalf of individuals) are provided with the capability to associate organization-defined cybersecurity / data privacy attributes with organization-defined objects.
Technology Recommendations
Micro/Small
- Data classification policy (public/internal/confidential)
Small
- Data classification policy
- Data handling procedures
Medium
- Data classification program
- DLP tools
- Data handling standards
Large
- Enterprise DLP solution (e.g., Microsoft Purview, Symantec DLP)
- Data classification tool
Enterprise
- Enterprise data governance platform (e.g., Collibra)
- DLP with automated classification
- Data lifecycle management