DCH-02: Data & Asset Classification
Mechanisms exist to ensure data and assets are categorized in accordance with applicable statutory, regulatory and contractual requirements.
Control Question: Does the organization ensure data and assets are categorized in accordance with applicable statutory, regulatory and contractual requirements?
General (35)
| Framework | Mapping Values |
|---|---|
| AICPA TSC 2017:2022 (used for SOC 2) (source) | C1.1 CC2.1 CC2.1-POF7 CC6.1-POF1 |
| CIS CSC 8.1 | 3.1 3.7 |
| CIS CSC 8.1 IG1 | 3.1 |
| CIS CSC 8.1 IG2 | 3.1 3.7 |
| CIS CSC 8.1 IG3 | 3.1 3.7 |
| COSO 2017 | Principle 13 |
| CSA CCM 4 | DCS-05 DSP-04 |
| CSA IoT SCF 2 | DAT-01 |
| ISO 27002 2022 | 5.9 5.12 |
| ISO 27017 2015 | 8.2.1 |
| MPA Content Security Program 5.1 | OP-3.2 |
| NIST AI 100-1 (AI RMF) 1.0 | GOVERN 1.6 |
| NIST 800-37 R2 | P-12 |
| NIST 800-171 R3 (source) | 03.04.11.a 03.08.01 03.08.04 |
| NIST 800-207 | NIST Tenet 1 |
| NIST CSF 2.0 (source) | ID.AM-05 PR.DS |
| PCI DSS 4.0.1 (source) | 9.4.2 |
| PCI DSS 4.0.1 SAQ A (source) | 9.4.2 |
| PCI DSS 4.0.1 SAQ A-EP (source) | 9.4.2 |
| PCI DSS 4.0.1 SAQ B (source) | 9.4.2 |
| PCI DSS 4.0.1 SAQ B-IP (source) | 9.4.2 |
| PCI DSS 4.0.1 SAQ C (source) | 9.4.2 |
| PCI DSS 4.0.1 SAQ C-VT (source) | 9.4.2 |
| PCI DSS 4.0.1 SAQ D Merchant (source) | 9.4.2 |
| PCI DSS 4.0.1 SAQ D Service Provider (source) | 9.4.2 |
| SPARTA | CM0001 |
| SWIFT CSF 2023 | 2.9 2.10 |
| TISAX ISA 6 | 1.2.3 1.3.2 5.1.2 8.2.4 8.2.6 |
| UL 2900-1 2017 | 10.2 |
| SCF CORE Fundamentals | DCH-02 |
| SCF CORE Mergers, Acquisitions & Divestitures (MA&D) | DCH-02 |
| SCF CORE ESP Level 1 Foundational | DCH-02 |
| SCF CORE ESP Level 2 Critical Infrastructure | DCH-02 |
| SCF CORE ESP Level 3 Advanced Threats | DCH-02 |
| SCF CORE AI Model Deployment | DCH-02 |
US (13)
| Framework | Mapping Values |
|---|---|
| US CISA CPG 2022 | 2.L |
| US CJIS Security Policy 5.9.3 (source) | 4.1.1 4.2.1 4.2.2 4.3 |
| US DoD Zero Trust Execution Roadmap | 4.1 4.2 |
| US DoD Zero Trust Reference Architecture 2.0 | 5.0 |
| US DHS CISA TIC 3.0 | 3.PEP.DA.DLABE |
| US DHS ZTCF | DIN-02 |
| US FFIEC | D1.G.IT.B.2 |
| US HHS 45 CFR 155.260 | 155.260(a)(4)(ii) |
| US HIPAA HICP Small Practice | 4.S.A 10.S.A |
| US HIPAA HICP Medium Practice | 4.M.A 4.M.E |
| US HIPAA HICP Large Practice | 4.M.A 4.M.E |
| US ITAR Part 120 | 120.6 120.7 120.8 120.9 120.10 120.46 |
| US - CA CCPA 2025 | 7123(c)(4)(A) |
EMEA (17)
| Framework | Mapping Values |
|---|---|
| EMEA EU AI Act | 17.1(f) |
| EMEA EU EBA GL/2019/04 | 3.3.3(17) 3.3.3(18) 3.3.3(19) 3.5(54) |
| EMEA EU NIS2 Annex | 12.1.1 12.1.2(a) 2.1.3 |
| EMEA Germany Banking Supervisory Requirements for IT (BAIT) | 7.13 7.14 12.4 |
| EMEA Germany C5 2020 | AM-02 AM-06 COS-08 PI-01 |
| EMEA Israel CDMO 1.0 | 5.3 15.2 |
| EMEA Saudi Arabia CSCC-1 2019 | 2-6-1-2 |
| EMEA Saudi Arabia IoT CGIoT-1 2024 | 2-6-1 |
| EMEA Saudi Arabia ECC-1 2018 | 2-1-5 2-7-3-2 4-2-3-1 |
| EMEA Saudi Arabia OTCC-1 2022 | 2-6-1-1 |
| EMEA Saudi Arabia SACS-002 | TPC-24 |
| EMEA Spain BOE-A-2022-7191 | 40.1 40.2 41.2 |
| EMEA Spain 311/2022 | 40.1 40.2 41.2 |
| EMEA Spain CCN-STIC 825 | 8.7.2 [MP.INFO.2] |
| EMEA UK CAF 4.0 | B3.a |
| EMEA UK CAP 1850 | B3 |
| EMEA UK DEFSTAN 05-138 | 2301 |
APAC (8)
| Framework | Mapping Values |
|---|---|
| APAC Australia ISM June 2024 | ISM-0270 ISM-0271 ISM-0272 ISM-0294 ISM-0296 ISM-0323 ISM-0393 |
| APAC Australia Prudential Standard CPS234 | 20 21(a) |
| APAC India SEBI CSCRF | PR.DS.S2 |
| APAC Japan ISMAP | 8.2.1 |
| APAC New Zealand HISF 2022 | HML34 HSUP30 |
| APAC New Zealand HISF Suppliers 2023 | HSUP30 |
| APAC New Zealand NZISM 3.6 | 12.3.4.C.01 12.3.5.C.01 12.3.5.C.02 12.3.6.C.01 12.3.7.C.01 18.6.8.C.01 |
| APAC Singapore MAS TRM 2021 | 3.3.1(b) |
Americas (3)
| Framework | Mapping Values |
|---|---|
| Americas Bermuda BMACCC | 6.8 |
| Americas Canada OSFI B-13 | 2.2.2 3.1.4 |
| Americas Canada ITSP-10-171 | 03.04.11.A 03.08.01 03.08.04 |
Capability Maturity Model
Level 0 — Not Performed
There is no evidence of a capability to ensure data and assets are categorized in accordance with applicable statutory, regulatory and contractual requirements.
Level 1 — Performed Informally
C|P-CMM1 is N/A, since a structured process is required to ensure data and assets are categorized in accordance with applicable statutory, regulatory and contractual requirements.
Level 2 — Planned & Tracked
Data Classification & Handling (DCH) efforts are requirements-driven and governed at a local/regional level, but are not consistent across the organization. CMM Level 2 control maturity would reasonably expect all, or at least most, the following criteria to exist: o Document where sensitive/regulated data is stored, transmitted and processed to identify data repositories and data flows. o Create and maintain Data Flow Diagrams (DFDs) and network diagrams. o Are expected to take the initiative to work with Data Protection Officers (DPOs) to ensure applicable statutory, regulatory and contractual obligations are properly addressed, including the storage, transmission and processing of sensitive/regulated data o Geolocation requirements for sensitive/regulated data types, including the transfer of data to third-countries or international organizations. o Requirements for minimizing data collection to what is necessary for business purposes. o Requirements for limiting the use of sensitive/regulated data in testing, training and research.
- Data management is decentralized (e.g., a localized/regionalized function) and uses non-standardized methods to implement secure, resilient and compliant practices.
- IT/cybersecurity personnel identify cybersecurity and data protection controls that are appropriate to address applicable statutory, regulatory and contractual requirements for data management.
- Data protection controls are primarily administrative and preventative in nature (e.g., policies & standards) to classify, protect and dispose of systems and data, including storage media.
- A data classification process exists to identify categories of data and specific protection requirements.
- A data retention process exists and is a manual process to govern.
- Data/process owners:
- A manual data retention process exists.
- Content filtering blocks users from performing ad hoc file transfers through unapproved file transfer services (e.g., Box, Dropbox, Google Drive, etc.).
- Mobile Device Management (MDM) software is used to restrict and protect the data that resides on mobile devices.
- Physical controls, administrative processes and technologies focus on protecting High Value Assets (HVAs), including environments where sensitive/regulated data is stored, transmitted and processed.
- Administrative means (e.g., policies and standards) dictate:
Level 3 — Well Defined
Data Classification & Handling (DCH) efforts are standardized across the organization and centrally managed, where technically feasible, to ensure consistency. CMM Level 3 control maturity would reasonably expect all, or at least most, the following criteria to exist: o Are expected to take the initiative to work with Data Protection Officers (DPOs) to ensure applicable statutory, regulatory and contractual obligations are properly addressed, including the storage, transmission and processing of sensitive/regulated data. o Maintain decentralized inventory logs of all sensitive/regulated media and update sensitive/regulated media inventories at least annually. o Create and maintain Data Flow Diagrams (DFDs) and network diagrams. o Document where sensitive/regulated data is stored, transmitted and processed in order to document data repositories and data flows. o Identify data classification types to ensure adequate cybersecurity and data protection controls are in place to protect organizational information and individual data privacy. o Identify and document the location of information on which the information resides. o Restrict and govern the transfer of data to third-countries or international organizations. o Limit the disclosure of data to authorized parties. o Mark media in accordance with data protection requirements so that personnel are alerted to distribution limitations, handling caveats and applicable security requirements. o Prohibit “rogue instances” where unapproved third parties are engaged to store, process or transmit data, including budget reviews and firewall connection authorizations. o Protect and control digital and non-digital media during transport outside of controlled areas using appropriate security measures. o Govern the use of personal devices (e.g., Bring Your Own Device (BYOD)) as part of acceptable and unacceptable behaviors. o Dictate requirements for minimizing data collection to what is necessary for business purposes. o Dictate requirements for limiting the use of sensitive/regulated data in testing, training and research.
- A Governance, Risk & Compliance (GRC) function, or similar function, assists users in making information sharing decisions to ensure data is appropriately protected, regardless of where or how it is stored, processed and/ or transmitted.
- A data classification process exists to identify categories of data and specific protection requirements.
- A data retention process exists to protect archived data in accordance with applicable statutory, regulatory and contractual obligations.
- Data/process owners:
- A Data Protection Impact Assessment (DPIA) is used to help ensure the protection of sensitive/regulated data processed, stored or transmitted on internal or external systems, in order to implement cybersecurity and data protection controls in accordance with applicable statutory, regulatory and contractual obligations.
- Human Resources (HR), documents formal “rules of behavior” as an employment requirement that stipulates acceptable and unacceptable practices pertaining to sensitive/regulated data handling.
- Data Loss Prevention (DLP), or similar content filtering capabilities, blocks users from performing ad hoc file transfers through unapproved file transfer services (e.g., Box, Dropbox, Google Drive, etc.).
- Mobile Device Management (MDM) software is used to restrict and protect the data that resides on mobile devices.
- Administrative processes and technologies:
Level 4 — Quantitatively Controlled
Data Classification & Handling (DCH) efforts are metrics driven and provide sufficient management insight (based on a quantitative understanding of process capabilities) to predict optimal performance, ensure continued operations and identify areas for improvement. In addition to CMM Level 3 criteria, CMM Level 4 control maturity would reasonably expect all, or at least most, the following criteria to exist:
- 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.
- Both business and technical stakeholders are involved in reviewing and approving proposed changes.
Level 5 — Continuously Improving
See C|P-CMM4. There are no defined C|P-CMM5 criteria, since it is reasonable to assume a continuously-improving process is not necessary to ensure data and assets are categorized in accordance with applicable statutory, regulatory and contractual requirements.
Assessment Objectives
- DCH-02_A01 a data classification scheme is defined that covers reasonable data types to address the organization's operational needs.
- DCH-02_A02 data and assets are categorized in accordance with the data classification scheme that addresses applicable statutory, regulatory and contractual requirements.
Evidence Requirements
- E-DCH-01 Data Classification Scheme
-
Documented evidence of an organization-specific data classification scheme.
Data Protection - E-DCH-02 Data Handling Practices
-
Documented evidence of an organization-specific data handling practices (e.g., guidance specific the data classification scheme).
Data Protection
Technology Recommendations
Micro/Small
- Data classification program
- IT Asset Management (ITAM) program
Small
- Data classification program
- IT Asset Management (ITAM) program
Medium
- Data classification program
- IT Asset Management (ITAM) program
- Data governance program
Large
- Data classification program
- IT Asset Management (ITAM) program
- Data governance program
Enterprise
- Data classification program
- IT Asset Management (ITAM) program
- Data governance program