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PRI-35: Personal Data (PD) Accuracy & Integrity

PRI 5 — Medium Identify

Mechanisms exist to ensure the accuracy and relevance of Personal Data (PD) throughout the information lifecycle by: (1) Keeping PD up-to-date; and (2) Remediating identified inaccuracies, as necessary.

Renumbered: Formerly PRI-05.2 in SCF 2025.4.

Control Question: Does the organization ensure the accuracy and relevance of Personal Data (PD) throughout the information lifecycle by: (1) Keeping PD up-to-date; and (2) Remediating identified inaccuracies, as necessary?

General (12)
US (3)
Framework Mapping Values
USA Federal CMS MARS-E 2.0 DI-2 DI-2.a DI-2.b
USA Federal Data Privacy Framework 2023 II.5.a
USA Federal 45 CFR 155.260 155.260(a)(3)(vi)
EMEA (12)
Framework Mapping Values
EMEA Austria FAPPD 2000 § 37(6) § 37(7)
EMEA Belgium Act 8 1992 Title 2, Chapter II, Art. 32(2)
EMEA Switzerland FADP 2025 2.1.6.5
EMEA Germany FDPA 2017 3.1.47.4 3.4.74(1)
EMEA EU GDPR 2016 Article 5.1(d)
EMEA UK DPA 2018 Section 46(1) Section 47(3)
EMEA Hungary Act CXII 2011 II.4.4(4) II.13.17(1)
EMEA Ireland DPA 2018 s.74
EMEA Kenya DPA 2019 IV.25(f)
EMEA Saudi Arabia PDPL Article 14
EMEA Serbia 87/2018 II.11
EMEA South Africa POPIA 2013 3.A.5.16(1) 3.A.5.16(2)
APAC (11)
Framework Mapping Values
APAC Australian Privacy Principles 2026 4.10.1 4.10.2
APAC China Privacy Law 2021 Article 8
APAC Hong Kong PDO 2022 Schedule 1 - 2(1)(a) Schedule 1 - 2(1)(b) Schedule 1 - 2(1)(c)(i) Schedule 1 - 2(1)(c)(ii) Schedule 1 - 2(1)(c)(ii)(A) Schedule 1 - 2(1)(c)(ii)(B)
APAC India DPDPA 2023 8(3) 8(3)(a) 8(3)(b)
APAC India ITR 2011 5(6)
APAC Japan APPI 2020 IV.1.19
APAC Malaysia PDPA 2010 11
APAC New Zealand Privacy Act of 2020 3.1.22.8
APAC Philippines DPA 2012 III.11(c)
APAC Singapore PDPA 2012 6.23 6.23(a) 6.23(b) 6.25 6.25(a) 6.25(b)
APAC Taiwan PDPA 2025 I.11
Americas (6)
Framework Mapping Values
Americas Argentina Reg 132 2018 A.1.3
Americas Bahamas DPA 2003 II.5(1)(d) II.5(3) II.10(1) II.10(2) II.10(2)(a) II.10(2)(b)
Americas Canada PIPEDA 2000 P6-4.6 P6-4.6.1 P6-4.6.2 P6-4.6.3
Americas Chile Act 19628 1999 I.9
Americas Colombia Law 1581 2012 VI.17(f) VI.17(g)
Americas Mexico FDPA 2010 II.11

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 ensure the accuracy and relevance of Personal Data (PD) throughout the information lifecycle by: (1) Keeping PD up-to-date; and (2) Remediating identified inaccuracies, as necessary.

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

  1. PRI-35_A01 a data integrity board/function is established.
  2. PRI-35_A02 the data integrity board/function reviews proposals to conduct or participate in a matching program.
  3. PRI-35_A03 the data integrity board/function conducts an annual review of all matching programs in which the agency has participated.

Evidence Requirements

E-PRI-02 Authorized Use

Documented evidence of authorized use definitions for privacy-related data operations.

Privacy

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

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