PRI-36.1: Automated Decision-Making Technology (ADMT) For Data Subject Actions
Mechanisms exist to ensure data subject actions utilizing Automated Decision-Making Technology (ADMT) where computation replaces, or substantially replaces, human decisionmaking, conforms with all applicable statutory, regulatory and/or contractual obligations.
Renumbered: Formerly PRI-19 in SCF 2025.4.
Control Question: Does the organization ensure data subject actions utilizing Automated Decision-Making Technology (ADMT) where computation replaces, or substantially replaces, human decisionmaking, conforms with all applicable statutory, regulatory and/or contractual obligations?
EMEA (11)
| Framework | Mapping Values |
|---|---|
| EMEA Austria FAPPD 2000 | § 41(1) § 41(2) § 41(3) |
| EMEA Belgium Act 8 1992 | Title 2, Chapter II, Art. 35 |
| EMEA Switzerland FADP 2025 | 3.21.3.a |
| EMEA Germany FDPA 2017 | 2.2.37(1)1 2.2.37(1)2 2.2.37(2) 3.2.54(1) 3.2.54(2) 3.2.54(3) |
| EMEA UK DPA 2018 | Section 50(1) Section 50(1)(a) Section 50(1)(b) Section 50(1)(b)(i) Section 50(1)(b)(ii) Section 50(2) Section 50C(1) Section 50C(1)(a) Section 50C(1)(b) Section 50C(2) Section 50C(2)(a) Section 50C(2)(b) Section 50C(2)(c) Section 50C(2)(d) Section 50C(3) Section 50C(3)(a) Section 50C(3)(b) Section 50C(3)(c) Section 50C(4) Section 50C(4)(a) Section 50C(4)(b) Section 50C(4)(c) Section 50C(4)(d) Section 50C(4)(e) Section 50C(5) |
| EMEA Hungary Act CXII 2011 | II.10.11(2) |
| EMEA Ireland DPA 2018 | s.89 |
| EMEA Kenya DPA 2019 | IV.35(1) |
| EMEA Russia 152-FZ 2025 | Art. 16 |
| EMEA Serbia 87/2018 | III.4.39 |
| EMEA South Africa POPIA 2013 | 8.71(1) 8.71(2) 8.71(2)(a) 8.71(2)(a)(i) 8.71(2)(a)(ii) 8.71(2)(b) 8.71(3) |
APAC (1)
| Framework | Mapping Values |
|---|---|
| APAC China Privacy Law 2021 | Article 24 |
Americas (2)
| Framework | Mapping Values |
|---|---|
| Americas Bahamas DPA 2003 | IV.24(3) V.49(1) V.49(2) V.49(2)(a) V.49(2)(b) V.49(2)(c) V.49(3) V.49(4) V.49(4)(a) V.49(4)(b) |
| Americas Brazil LGPD 2018 | III.20 |
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 ensure data subject actions utilizing Automated Decision-Making Technology (ADMT) where computation replaces, or substantially replaces, human decisionmaking, conforms with all applicable statutory, regulatory and/or contractual obligations.
Level 4 — Quantitatively Controlled
Utilize SCR-CMM Level 3 criteria definitions: ▪ There are no defined Level 4 criteria, since it is reasonable to assume a quantitatively-controlled process is not necessary to operationalize this control. ▪ While it may be possible to develop “metrics-driven” capabilities for this control, the criteria would be organization-specific to define.
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-36.1_A01 Automated Decision-Making Technology (ADMT), where computation replaces, or substantially replaces, human decision-making for data subject actions, are identified.
- PRI-36.1_A02 applicable statutory, regulatory and/or contractual obligations for Automated Decision-Making Technology (ADMT), where computation replaces, or substantially replaces, human decision-making for data subject actions, are identified.
- PRI-36.1_A03 the use of Automated Decision-Making Technology (ADMT), where computation replaces, or substantially replaces, human decision-making for data subject actions, conforms with all applicable statutory, regulatory and/or contractual obligations.
Evidence Requirements
- E-PRI-11 Automated Decision-Making Technology (ADMT) Documentation
-
Documented evidence of Automated Decision-Making Technology (ADMT) use, notifications, opt-out and transparency documentation.
Privacy
Technology Recommendations
Micro/Small
- Inform users when automated decisions are made about them
Small
- ADMT disclosure policy in privacy notice
Medium
- Formal ADMT governance policy
- Disclosure requirements for automated decision-making
Large
- Enterprise ADMT governance program
- Transparency requirements
- Impact assessments
Enterprise
- Enterprise ADMT governance framework
- Automated disclosure mechanisms
- GDPR Art. 22 and CCPA compliance
- DPIA program