PRI-39: Data Subject Rights Management
Mechanisms exist to facilitate the receipt, validation, fulfillment and documentation of data subject rights requests in accordance with applicable statutory, regulatory and/or contractual obligations.
Renumbered: Formerly PRI-06.4 in SCF 2025.4.
Control Question: Does the organization facilitate the receipt, validation, fulfillment and documentation of data subject rights requests in accordance with applicable statutory, regulatory and/or contractual obligations?
General (14)
| Framework | Mapping Values |
|---|---|
| AICPA Privacy Management Framework (PMF) | A5.1-POF4 A5.2-POF1 A5.2-POF3 M9.1 M9.1-POF2 M9.1-POF3 |
| AICPA TSC 2017:2022 (used for SOC 2) (source) | P4.3-POF1 P5.1 P5.1-POF4 P5.1-POF5 P5.2 P5.2-POF1 P5.2-POF3 P5.2-POF4 P6.7-POF2 P8.1 P8.1-POF1 P8.1-POF2 P8.1-POF3 |
| ISO 29100 2024 | 6.10 |
| NIST 800-53 R4 | IP-4 IP-4(1) |
| NIST 800-53 R5.2 | PM-26 |
| NIST 800-53B R5 (privacy) (source) | PM-26 |
| NIST 800-82 R3 | PM-26 |
| NIST 800-82 R3 LOW OT Overlay | PM-26 |
| NIST 800-82 R3 MODERATE OT Overlay | PM-26 |
| NIST 800-82 R3 HIGH OT Overlay | PM-26 |
| NIST Privacy Framework 1.0 | GV.MT-P7 |
| OECD Privacy Principles | 7(b)(i) 7(b)(ii) 7(b)(iii) 7(c) 7(d) |
| SCF DPMP 2026 | 6.1 |
| TISAX ISA 6.0.3 | 9.6.1 |
US (15)
| Framework | Mapping Values |
|---|---|
| USA Federal CMS MARS-E 2.0 | IP-4 IP-4(1) |
| USA Federal Data Privacy Framework 2023 | II.7.a.i III.8.i.i III.11.d.i |
| USA Federal HIPAA Administrative Simplification 2013 | § 164.526(b)(2)(i) § 164.526(b)(2)(i)(A) § 164.526(b)(2)(i)(B) § 164.526(b)(2)(ii) § 164.526(b)(2)(ii)(A) § 164.526(b)(2)(ii)(B) § 164.526(d) § 164.526(d)(1) § 164.526(d)(1)(i) § 164.526(d)(1)(ii) § 164.526(d)(1)(iii) § 164.526(d)(1)(iv) § 164.526(d)(2) § 164.526(d)(3) § 164.526(d)(4) § 164.526(d)(5)(i) § 164.526(d)(5)(ii) § 164.526(d)(5)(iii) § 164.526(e) § 164.526(f) § 164.530(d)(1) § 164.530(d)(2) |
| USA Federal FIPPS 1973 | 6.0 |
| USA California CCPA 2025 | 7021(a) 7021(b) 7022(e) 7022(f) 7022(f)(1) 7023(a) 7023(d)(2)(A) 7023(d)(2)(B) 7023(d)(2)(C) 7023(d)(2)(D) 7023(f)(1) 7023(f)(2) 7023(f)(3) 7023(f)(4) 7023(i) 7023(j) 7023(k) 7024(c) 7024(c)(1) 7024(c)(2) 7024(c)(3) 7024(c)(4) 7024(d) 7024(d)(1) 7024(d)(2) 7024(e) 7024(e)(1) 7024(e)(2) 7024(k) 7024(k)(1) 7024(k)(2) 7024(k)(3) 7024(k)(4) 7024(k)(5) 7024(k)(6) 7027(h) 7027(k) |
| USA Colorado Colorado Privacy Act 2021 | 6-1-1306(1) 6-1-1306(2)(a) 6-1-1306(2)(b) 6-1-1306(3)(b) 6-1-1306(3)(c) |
| USA Montana CDPA 2025 | 30-14-2808(4)(a) 30-14-2808(4)(b) 30-14-2808(4)(c) 30-14-2808(4)(d) 30-14-2808(5) 30-14-2812(11)(a) 30-14-2813(1)(a) |
| USA Nevada Privacy Law 2023 | 603A.345.3 603A.345.4 603A.346.3 603A.346.4 603A.510.1 603A.510.2 603A.510.2(a) 603A.510.2(b) |
| USA Nevada SB220 2019 | 2.4 |
| USA Oregon CPA 2023 | Section 4(5)(a) Section 4(5)(b) Section 4(5)(c) Section 4(5)(d) Section 4(5)(e) Section 4(5)(e)(A) Section 4(5)(e)(B) Section 4(6)(b) Section 4(6)(c) Section 4(6)(d) Section 5(5)(a)(A) Section 5(5)(a)(B) Section 5(5)(a)(C) Section 5(5)(b) |
| USA Oregon 646A 2025 | 646A.576(5) 646A.576(5)(a) 646A.576(5)(b) 646A.576(5)(c) 646A.576(5)(d) 646A.576(5)(e) 646A.576(5)(e)(A) 646A.576(5)(e)(B) |
| USA Tennessee TIPA 2025 | 47-18-3203(b)(1) 47-18-3203(b)(2) 47-18-3203(b)(3) 47-18-3203(b)(4) 47-18-3204(e)(1)(A) 47-18-3204(e)(1)(B) 47-18-3204(e)(1)(C) 47-18-3204(e)(2) 47-18-3207(b)(3) 47-18-3207(b)(3)(A) 47-18-3207(b)(3)(B) 47-18-3207(b)(3)(C) |
| USA Texas CDPA 2025 | 541.051(b)(1) 541.052(b) 541.052(c) 541.052(d) 541.053(c) 541.053(d) 541.055(a)(2) 541.055(a)(3) 541.055(b) |
| USA Texas TRAIGA 2025 | Sec. 3 / 541.104(a)(1) |
| USA Virginia CDPA 2023 | 59.1-577.B.1 59.1-577.B.2 59.1-577.B.3 59.1-577.B.4 59.1-577.C |
EMEA (14)
| Framework | Mapping Values |
|---|---|
| EMEA Austria FAPPD 2000 | § 42(3) § 42(4) § 42(5) § 42(6) § 45(8) § 45(9) § 44(3) § 44(4) § 45(4) |
| EMEA Belgium Act 8 1992 | Title 2, Chapter III, Art. 36(3) Title 2, Chapter III, Art. 38(3) Title 2, Chapter III, Art. 39(4) Title 2, Chapter III, Art. 40 |
| EMEA Switzerland FADP 2025 | 4.25.7 4.28.3 |
| EMEA Germany FDPA 2017 | 2.2.34(2) 2.2.35(2) 3.3.57(6) 3.3.59(2) |
| EMEA EU GDPR 2016 | Article 12.4 |
| EMEA UK DPA 2018 | Section 45(3) Section 45(3)(a) Section 45(3)(b) Section 45(5) Section 45(5)(a) Section 45(5)(b) Section 45(5)(c) Section 45(5)(d) Section 45(5)(e) Section 52(6) Section 53(6) Section 53(6)(a) Section 53(6)(b) Section 53(7) Section 53(7)(a) Section 53(7)(b) Section 59(2)(b) |
| EMEA Hungary Act CXII 2011 | II.13.15(1) II.13.15(2) II.13.15(4) II.13.16(2) II.13.18(2) II.15.21(2) II.15.21(3) |
| EMEA Ireland DPA 2018 | s.93 |
| EMEA Kenya DPA 2019 | IV.35(4)(a) IV.35(4)(b) IV.35(4)(c) IV.35(4)(c)(i) IV.35(4)(c)(ii) IV.38(4) |
| EMEA Nigeria DPR 2019 | 3.1(2) 3.1(3)(b) 3.1(5) 3.1(13) |
| EMEA Qatar PDPPL 2020 | 3.11.4 |
| EMEA Russia 152-FZ 2025 | Art. 21 |
| EMEA Serbia 87/2018 | III.1.22 III.3.34 |
| EMEA South Africa POPIA 2013 | 3.A.8.23(4)(a) 3.A.8.23(4)(b) 3.A.8.23(5) 3.A.8.24(2) 3.A.8.24(2)(a) 3.A.8.24(2)(b) 3.A.8.24(2)(c) 3.A.8.24(2)(d) |
APAC (11)
| Framework | Mapping Values |
|---|---|
| APAC Australian Privacy Principles 2026 | 5.12.3 5.12.3.a 5.12.3.b 5.12.3.c 5.12.3.d 5.12.3.e 5.12.3.f 5.12.3.g 5.12.3.h 5.12.3.h.ii 5.12.3.i 5.12.3.j 5.12.4 5.12.4.a 5.12.4.a.i 5.12.4.a.ii 5.12.4.b 5.12.5 5.12.5.a 5.12.5.b 5.12.6 5.13.4 5.13.4.a 5.13.5 5.13.5.a 5.13.5.a.i 5.13.5.a.ii 5.13.5.b |
| APAC China Cybersecurity Law 2017 | Article 43 |
| APAC China Privacy Law 2021 | Article 50 |
| APAC Hong Kong PDO 2022 | 18(5) 18(5)(a) 18(5)(b) 19(1) 19(1)(a) 19(1)(a)(i) 19(1)(a)(ii) 19(1)(b) 19(3) 19(3)(a) 19(3)(a)(i) 19(3)(a)(i)(A) 19(3)(a)(i)(B) 19(3)(a)(ii) 19(4) 19(4)(a) 19(4)(b) 19(4)(b)(i) 19(4)(b)(ii) 19(4)(b)(ii)(A) 19(4)(b)(I) 19(4)(b)(II) 19(4)(b)(III) 19(4)(b)(III)(B) 21(1) 21(1)(a) 21(1)(b) 21(1)(c) 25(1) 25(1)(b) |
| APAC India ITR 2011 | 5(9) |
| APAC Japan APPI 2020 | IV.1.27(2) IV.1.27(2)(i) IV.1.27(2)(ii) IV.1.27(3) IV.1.28(2) IV.1.28(3) IV.1.35(1) IV.1.35(2) |
| APAC South Korea PIPA 2011 | V.36(2) V.36(3) V.36(4) V.36(5) V.37(2) V.37(2)1 V.37(2)2 V.37(2)3 V.37(2)4 V.37(3) V.37(4) |
| APAC Malaysia PDPA 2010 | 30(3) 30(4) 30(5) 31(1) 31(2) 31(2)(a) 31(2)(b) 31(3) 32(1) 32(1)(a) 32(1)(b) 32(1)(c) 32(2) 32(2)(a) 32(2)(b) 32(2)(c) 32(2)(d) 32(3) 33 33(a) 33(b) |
| APAC New Zealand Privacy Act of 2020 | 3.1.22.7(2) 4.1.44(1) 4.1.44(2) 4.1.44(2)(b) 4.1.44(2)(c) 4.1.44(2)(c)(i) 4.1.44(2)(c)(ii) 4.1.44(2)(d) 4.2.63(1) 4.2.63(1)(a) 4.2.63(1)(b) 4.2.63(1)(b)(i) 4.2.63(1)(b)(ii) 4.2.63(2) 4.2.63(3) 4.2.63(3)(a) 4.2.63(3)(b) 4.2.63(3)(c) 4.2.64(1) 4.2.64(1)(a) 4.2.64(1)(b) 4.2.64(1)(b)(i) 4.2.64(1)(b)(ii) 4.2.64(2) 4.2.64(3) |
| APAC Singapore PDPA 2012 | 3.12(b) 4.1.16(2) 5.21(6) 5.21(6)(b) 5.21(7) 5.21(7)(b) |
| APAC Taiwan PDPA 2025 | I.10 I.10.1 I.10.2 I.10.3 |
Americas (5)
| Framework | Mapping Values |
|---|---|
| Americas Bahamas DPA 2003 | IV.24(4) IV.24(4)(a) IV.24(4)(b) IV.24(5) IV.24(5)(a) IV.24(5)(b) IV.24(10) IV.24(10)(a) IV.24(10)(b) IV.24(10)(c) IV.24(10)(d) IV.24(13)(f) IV.27(3) IV.28(5)(a) IV.28(5)(b) IV.29(3)(a) IV.29(3)(b) |
| Americas Brazil LGPD 2018 | III.18.IX.4.I III.18.IX.4.II III.18.IX.5 |
| Americas Canada PIPEDA 2000 | P1-4.1.4(b) P9-4.9.1 P9-4.9.4 P10-4.10.2 P10-4.10.3 P10-4.10.4 |
| Americas Colombia Law 1581 2012 | IV.12(a) IV.12(b) IV.12(c) IV.12(d) V.15.2 V.15.3 VI.17(j) |
| Americas Mexico FDPA 2010 | IV.32 IV.33 |
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
SCR-CMM Level 2 criteria definitions are not available for this control: ▪ A reasonable person would conclude a well-defined and standardized process is required. ▪ At this level of maturity, the “requirements-driven” nature of performing the control is focused on a localized and/or regionalized implementation, not uniform and consistent across the organization. ▪ Requirements are narrowly scoped for applicability and are primarily derived from compliance obligations (e.g., laws, regulations and contracts).
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 to efficiently and effectively respond to requests, complaints, concerns and/or questions from authenticated data subjects about Personal Data (PD) the organization collects, receives, processes, stores, transmits, shares, updates and/or disposes.
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-39_A01 the time period within which data subject rights requests are to be acknowledged is defined.
- PRI-39_A02 the time period within which data subject rights requests are to be fulfilled is defined.
- PRI-39_A03 a process to receive and acknowledge data subject rights requests is implemented.
- PRI-39_A04 a process to fulfill data subject rights requests in accordance with applicable statutory, regulatory and/or contractual obligations is implemented.
- PRI-39_A05 one or more publicly accessible and easy to use channels are provided for data subjects to submit rights requests.
- PRI-39_A06 the identity of the data subject, or their authorized agent, is validated before a data subject rights request is fulfilled.
- PRI-39_A07 data subject rights requests are tracked from receipt through fulfillment or denial.
- PRI-39_A08 records of each data subject rights request, including the validation performed, the action taken and the date of response, are retained.
- PRI-39_A09 receipt of data subject rights requests is acknowledged to the data subject within the organization-defined time period.
- PRI-39_A10 data subject rights requests are fulfilled, or denied with the reason for denial communicated to the data subject, within the organization-defined time period.
- PRI-39_A11 the statutory, regulatory and/or contractual obligations applicable to data subject rights requests are identified.
Evidence Requirements
- E-PRI-06 Data Subject Access
-
Documented evidence of how data subject access requests are handled that includes intake through remediation.
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