Skip to main content

PRI-39.3: Correcting Inaccurate Personal Data (PD)

PRI 5 — Medium Respond

Mechanisms exist to maintain a process for: (1) Data subjects to have inaccurate Personal Data (PD) maintained by the organization corrected or amended; and (2) Disseminating corrections or amendments of PD to other authorized users of the PD.

Renumbered: Formerly PRI-06.1 in SCF 2025.4.

Control Question: Does the organization maintain a process for: (1) Data subjects to have inaccurate Personal Data (PD) maintained by the organization corrected or amended; and (2) Disseminating corrections or amendments of PD to other authorized users of the PD?

General (9)
US (12)
Framework Mapping Values
USA Federal CMS MARS-E 2.0 IP-3 IP-3.b
USA Federal Data Privacy Framework 2023 II.6.a
USA Federal HIPAA Administrative Simplification 2013 § 164.526(a)(1) § 164.526(a)(2) § 164.526(a)(2)(i) § 164.526(a)(2)(ii) § 164.526(a)(2)(iii) § 164.526(a)(2)(iv) § 164.526(b)(1)
USA Federal FIPPS 1973 1.0
USA California CCPA 2025 7023(a) 7023(b) 7023(d)(1) 7023(d)(2)
USA Colorado Colorado Privacy Act 2021 6-1-1306(1)(c)
USA Montana CDPA 2025 30-14-2808(1)(b)
USA Oregon CPA 2023 Section 3(1)(b)
USA Oregon 646A 2025 646A.574(1)(b)
USA Tennessee TIPA 2025 47-18-3203(a)(2)(B)
USA Texas CDPA 2025 541.051(b)(2)
USA Virginia CDPA 2023 59.1-577.A.2
EMEA (10)
Framework Mapping Values
EMEA Austria FAPPD 2000 § 45(1)
EMEA Germany FDPA 2017 3.3.57(1)6 3.3.58(1) 3.4.75(1)
EMEA UK DPA 2018 Section 46(1) Section 46(2) Section 46(3) Section 46(4)
EMEA Greece PIRPPD 1997 B.4.1.c C.12.2.e
EMEA Hungary Act CXII 2011 II.13.17(1)
EMEA Israel PPL 2025 s.14
EMEA Kenya DPA 2019 IV.25(f) IV.26(d) IV.34(1)(a) IV.40(1)(a)
EMEA Qatar PDPPL 2020 2.5.4
EMEA Serbia 87/2018 III.3.29
EMEA South Africa POPIA 2013 3.A.8.24(1) 3.A.8.24(1)(a) 3.A.8.24(1)(b)
APAC (8)
Framework Mapping Values
APAC Australian Privacy Principles 2026 5.13.1 5.13.1.a 5.13.1.b 5.13.1.b.i
APAC China Cybersecurity Law 2017 Article 43
APAC China Privacy Law 2021 Article 46
APAC Hong Kong PDO 2022 22(1)(a) 22(1)(b) 22(1A) 22(2) 22(2)(a) 22(2)(b) 22(3) 22(4) 23(1) 23(1)(a) 23(1)(c)(i) 23(1)(c)(ii) 23(2) 23(2)(a) 23(2)(a)(i) 23(2)(a)(ii) 23(2)(b) 23(3) 23(3)(a) 23(3)(b)
APAC India DPDPA 2023 12(1) 12(2)(a) 12(2)(b)
APAC Japan APPI 2020 IV.1.29(1) IV.1.29(2)
APAC Malaysia PDPA 2010 35(1) 35(1)(a) 35(1)(b) 35(1)(c) 35(1)(c)(i) 35(1)(c)(ii) 35(2) 35(2)(a) 35(2)(b) 35(3) 35(4) 35(4)(a) 35(4)(b) 35(5) 35(5)(a) 35(5)(b)
APAC Singapore PDPA 2012 5.22(1) 5.22(2)(a) 5.22(4)
Americas (3)
Framework Mapping Values
Americas Bahamas DPA 2003 IV.26(1) IV.26(2)
Americas Canada PIPEDA 2000 P9-4.9.5
Americas Mexico FDPA 2010 III.24 IV.28

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 maintain a process for: (1) Data subjects to have inaccurate Personal Data (PD) maintained by the organization corrected or amended; and (2) Disseminating corrections or amendments of PD to other authorized users of the PD.

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-39.3_A01 recipients of Personal Data (PD) to be notified when the Personal Data (PD) has been corrected or deleted are defined.
  2. PRI-39.3_A02 recipients and individuals are notified when the Personal Data (PD) has been corrected or deleted.

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

The Secure Controls Framework (SCF) is maintained by SCF Council. Use of SCF content is subject to the SCF Terms & Conditions.

Manage this control in SCF Connect

Track implementation status, collect evidence, and map controls to your compliance frameworks automatically.