PRI-29.3: Internal Use of Personal Data (PD) For Testing, Training and Research
Mechanisms exist to address the use of Personal Data (PD) for internal testing, training and research that: (1) Takes measures to limit or minimize the amount of PD used for internal testing, training and research purposes; and (2) Authorizes the use of PD when such information is required for internal testing, training and research.
Renumbered: Formerly PRI-05.1 in SCF 2025.4.
Control Question: Does the organization address the use of Personal Data (PD) for internal testing, training and research that: (1) Takes measures to limit or minimize the amount of PD used for internal testing, training and research purposes; and (2) Authorizes the use of PD when such information is required for internal testing, training and research?
General (18)
| Framework | Mapping Values |
|---|---|
| AICPA TSC 2017:2022 (used for SOC 2) (source) | CC6.1-POF13 P4.1 |
| CSA CCM 4.1.0 | DSP-12 DSP-15 |
| ISO 27002 2022 | 5.33 |
| ISO 27017 2015 | 18.1.4 |
| ISO 27018 2025 | 5.33 |
| NIST 800-53 R4 | DM-1 DM-3 DM-3(1) |
| NIST 800-53 R5.2 | PM-25 PT-02 PT-03 SI-12(01) SI-12(02) |
| NIST 800-53B R5 (privacy) (source) | PM-25 PT-02 PT-03 SI-12(01) SI-12(02) |
| NIST 800-82 R3 | PM-25 PT-02 PT-03 SI-12(01) SI-12(02) |
| NIST 800-82 R3 LOW OT Overlay | PM-25 |
| NIST 800-82 R3 MODERATE OT Overlay | PM-25 |
| NIST 800-82 R3 HIGH OT Overlay | PM-25 |
| NIST 800-161 R1 | PM-25 |
| NIST 800-161 R1 Level 2 | PM-25 |
| PCI DSS 4.0.1 (source) | 6.5.5 |
| PCI DSS 4.0.1 SAQ D Merchant (source) | 6.5.5 |
| PCI DSS 4.0.1 SAQ D Service Provider (source) | 6.5.5 |
| SCF DPMP 2026 | 3.3 |
US (6)
| Framework | Mapping Values |
|---|---|
| USA Federal CMS MARS-E 2.0 | DM-1 DM-1.a DM-1.b DM-1.c DM-3 DM-3.a DM-3.b DM-3(1) |
| USA Federal CJIS Security Policy 6.0 | 4.2.2 4.2.3.1 4.2.3.2 4.3 SI-12(1) SI-12(2) |
| USA Federal IRS 1075 2021 | PT-2 SI-12(CE-2) |
| USA Federal HIPAA Administrative Simplification 2013 | § 164.508(a)(2)(i)(B) |
| USA Oregon CPA 2023 | Section 7(1)(c) |
| USA Tennessee TIPA 2025 | 47-18-3204(a)(2) 47-18-3207(a)(1) 47-18-3207(a)(2) 47-18-3207(a)(3) 47-18-3207(b)(1) 47-18-3207(b)(2) 47-18-3207(b)(3) 47-18-3207(b)(3)(A) 47-18-3207(b)(3)(B) 47-18-3207(b)(3)(C) |
EMEA (5)
| Framework | Mapping Values |
|---|---|
| EMEA Austria FAPPD 2000 | § 7(2) |
| EMEA Germany FDPA 2017 | 2.1.2.27(3) |
| EMEA Greece PIRPPD 1997 | B.7.2.f |
| EMEA Italy PDPC 2018 | Article 99(3) Article 105(1) Article 105(2) Article 105(3) Article 105(4) |
| EMEA Kenya DPA 2019 | IV.30(1)(b)(viii) |
APAC (1)
| Framework | Mapping Values |
|---|---|
| APAC Philippines DPA 2012 | IV.19 |
Americas (2)
| Framework | Mapping Values |
|---|---|
| Americas Bahamas DPA 2003 | II.5(2) |
| Americas Brazil LGPD 2018 | II.I.7.IV |
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
Privacy (PRI) 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 PRI domain capabilities are formally documented and centrally-managed by the entity. ▪ Standardized Operating Procedures (SOP) associated with PRI 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 PRI domain capabilities to address applicable statutory, regulatory and/or contractual requirements for Technology Assets, Applications, Services and/or Data (TAASD). ▪ Data privacy management-related controls are primarily administrative and preventative in nature (e.g., policies, standards and procedures & guidelines). ▪ Data privacy management may be a defined function (e.g., team or department) or assigned as an additional duty to existing IT and/or cybersecurity personnel. ▪ The data privacy program is developed to work with IT and cybersecurity staff to ensure that applicable statutory, regulatory and/or contractual data privacy obligations for Personal Data (PD) are properly identified and implemented.
Level 3 — Well Defined
Privacy (PRI) 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 PRI 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 PRI domain capabilities are well-documented and kept current by process owners. ▪ A data privacy team, or similar function, is appropriately staffed and supported to implement and maintain PRI domain capabilities. ▪ Technology is leveraged to enhance the efficiency and accuracy of data privacy operations (e.g., privacy notice management software and customer management solution). ▪ 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 PRI 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 address the use of Personal Data (PD) for internal testing, training and research that: (1) Takes measures to limit or minimize the amount of PD used for internal testing, training and research purposes; and (2) Authorizes the use of PD when such information is required for internal testing, training and research.
Level 4 — Quantitatively Controlled
Privacy (PRI) 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
- PRI-29.3_A01 elements of Personal Data (PD) being processed in the information life cycle are defined.
- PRI-29.3_A02 techniques used to minimize the use of Personal Data (PD) for research, testing and training are defined.
- PRI-29.3_A03 organization-defined techniques are used to minimize the use of Personal Data (PD) for research, testing and training.
- PRI-29.3_A04 Personal Data (PD) being processed in the information life cycle is limited to organization-defined elements of Personal Data (PD).
- PRI-29.3_A05 the frequency for reviewing policies that address the use of Personal Data (PD) for internal testing, training and research is defined.
- PRI-29.3_A06 the frequency for updating policies that address the use of Personal Data (PD) for internal testing, training and research is defined.
- PRI-29.3_A07 the frequency for reviewing procedures that address the use of Personal Data (PD) for internal testing, training and research is defined.
- PRI-29.3_A08 the frequency for updating procedures that address the use of Personal Data (PD) for internal testing, training and research is defined.
- PRI-29.3_A09 policies that address the use of Personal Data (PD) for internal research, testing and training are developed and documented.
- PRI-29.3_A10 procedures that address the use of Personal Data (PD) for internal research, testing and training are developed and documented.
- PRI-29.3_A11 policies that address the use of Personal Data (PD) for internal research, testing and training are implemented.
- PRI-29.3_A12 procedures that address the use of Personal Data (PD) for internal research, testing and training are implemented.
- PRI-29.3_A13 the amount of Personal Data (PD) used for internal research, testing and training purposes is limited or minimized.
- PRI-29.3_A14 the required use of Personal Data (PD) for internal research, testing and training is authorized.
- PRI-29.3_A15 policies are reviewed frequently.
- PRI-29.3_A16 policies are updated frequently.
- PRI-29.3_A17 procedures are reviewed frequently.
- PRI-29.3_A18 procedures are updated frequently.
- PRI-29.3_A19 the authority to permit the processing of Personal Data (PD) is defined.
- PRI-29.3_A20 the type of processing of Personal Data (PD) is defined.
- PRI-29.3_A21 the type of processing of Personal Data (PD) to be restricted is defined.
- PRI-29.3_A22 the authority that permits the processing of Personal Data (PD) is determined and documented.
- PRI-29.3_A23 the processing of Personal Data (PD) is restricted to only that which is authorized.
- PRI-29.3_A24 the purpose(s) for processing Personal Data (PD) is/are defined.
- PRI-29.3_A25 the processing of Personal Data (PD) to be restricted is defined.
- PRI-29.3_A26 mechanisms to be implemented for ensuring any changes in the processing of Personal Data (PD) are made in accordance with requirements are defined.
- PRI-29.3_A27 requirements for changing the processing of Personal Data (PD) are defined.
- PRI-29.3_A28 the purpose(s) for processing Personal Data (PD) is/are identified and documented.
- PRI-29.3_A29 the purpose(s) is/are described in the public privacy notices of the organization.
- PRI-29.3_A30 the purpose(s) is/are described in the policies of the organization.
- PRI-29.3_A31 the processing of Personal Data (PD) is restricted to only that which is compatible with the identified purpose(s).
- PRI-29.3_A32 changes in the processing of Personal Data (PD) are monitored.
- PRI-29.3_A33 mechanisms are implemented to ensure that any changes are made in accordance with requirements.
Technology Recommendations
Micro/Small
- Data classification program
- Data privacy program
- Data Protection Impact Assessment (DPIA)
- Product / project management
Small
- Data classification program
- Data privacy program
- Data Protection Impact Assessment (DPIA)
- Product / project management
Medium
- Data classification program
- Data privacy program
- Data Protection Impact Assessment (DPIA)
- Product / project management
Large
- Data classification program
- Data privacy program
- Data Protection Impact Assessment (DPIA)
- Product / project management
Enterprise
- Data classification program
- Data privacy program
- Data Protection Impact Assessment (DPIA)
- Product / project management