AAT-05: Assigned Responsibilities for AI & Autonomous Technologies
Mechanisms exist to define and differentiate roles and responsibilities for: (1) Artificial Intelligence (AI) and Autonomous Technologies (AAT) configurations; and (2) Oversight of AAT systems.
Renumbered: Formerly AAT-08 in SCF 2025.4.
Code reused: In SCF 2025.4 and earlier, AAT-05 was AI & Autonomous Technologies Training. That control is now SAT-05.3.
Control Question: Does the organization define and differentiate roles and responsibilities for: (1) Artificial Intelligence (AI) and Autonomous Technologies (AAT) configurations; and (2) Oversight of AAT systems?
General (4)
| Framework | Mapping Values |
|---|---|
| ISO 42001 2023 | 5.3 5.3(a) 5.3(b) A.3.2 |
| NIST AI 100-1 (AI RMF) 1.0 | GOVERN 2.1 GOVERN 3.2 MAP 1.2 |
| NIST AI 600-1 | GOVERN 1.5 GV-1.5-001 GOVERN 2.1 GV-2.1-001 GV-2.1-002 GOVERN 3.2 MP-3.4-005 |
| Shared Assessments SIG 2025 | R.10 |
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
Artificial Intelligence and Autonomous Technology (AAT) domain capabilities are ad hoc and inconsistent. Capability criteria associated with this control may include: ▪ Policies, standards & procedures associated with AAT domain capabilities provide limited coverage due to the depth and breadth of the existing documentation. ▪ AAT-related processes are expected to follow the organization's existing processes (e.g., incident response, asset management, change control and risk assessments). ▪ No formal Governance, Risk & Compliance (GRC) team exists to provide AAT oversight, where the Chief Information Officer (CIO), or similar function, governs technology decisions what is acceptable for AAT within the organization.
Level 2 — Planned & Tracked
Artificial Intelligence and Autonomous Technology (AAT) 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 AAT domain capabilities are formally documented and centrally-managed by the entity. ▪ Standardized Operating Procedures (SOP) associated with AAT 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 AAT domain capabilities to address applicable statutory, regulatory and/or contractual requirements for Technology Assets, Applications, Services and/or Data (TAASD). ▪ Artificial Intelligence (AI)-related controls are primarily administrative and preventative in nature (e.g., policies, standards and procedures & guidelines). ▪ Asset management may be a defined function (e.g., team or department) or assigned as an additional duty to existing IT and/or cybersecurity personnel. ▪ AAT is regarded as a technology and governed by the entity's existing IT governance practices. ▪ No formal Governance, Risk & Compliance (GRC) team exists to provide oversight of AAT-related activities. GRC functions are assigned to existing IT and/or cybersecurity personnel.
Level 3 — Well Defined
Artificial Intelligence and Autonomous Technology (AAT) 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 AAT 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 AAT domain capabilities are well-documented and kept current by process owners. ▪ An Artificial Intelligence Governance (AIG) team, or similar function, is appropriately staffed and supported to implement and maintain AAT domain capabilities. ▪ Technology is leveraged to enhance the efficiency and accuracy of AI governance, risk management and compliance operations (e.g., dedicated AI governance platform). ▪ 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 AAT 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 define and differentiate roles and responsibilities for: (1) AAT configurations; and (2) Oversight of AAT systems.
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
- AAT-05_A01 cybersecurity / data privacy roles and responsibilities are incorporated into organizational position descriptions.
- AAT-05_A02 users are formally made aware of their defined roles and responsibilities for Artificial Intelligence (AI) and Autonomous Technologies (AAT) configurations and for oversight of AAT systems.
- AAT-05_A03 records of user acknowledgement of Artificial Intelligence (AI) and Autonomous Technologies (AAT) roles and responsibilities are retained by the organization.
- AAT-05_A04 the frequency at which to review / update position risk designations is defined.
- AAT-05_A05 a risk designation is assigned to all organizational positions.
Evidence Requirements
- E-AAT-01 Artificial Intelligence and Autonomous Technologies (AAT) Governance Program
-
Documented evidence of a governance program for Artificial Intelligence and Autonomous Technologies (AAT).
Artificial Intelligence (AI) & Autonomous Technologies Governance
Technology Recommendations
Micro/Small
- Designated AI responsible party or owner
- AI governance program
- NIST AI RMF Govern function
Small
- Assigned AI responsibilities for each system (owner, developer, operator)
- AI governance program
- NIST AI RMF Govern function
Medium
- Formal AI responsibility assignment (RACI for AI systems)
- AI governance program
- NIST AI RMF Govern function
- AI operator and developer responsibilities defined
Large
- Enterprise AI responsibility framework
- Dedicated AI Risk Officer or AI governance role
- NIST AI RMF Govern function
- AI responsibilities integrated with HR and accountability frameworks
Enterprise
- Enterprise AI responsibility and accountability framework
- Chief AI Officer (CAIO) with defined authority
- NIST AI RMF Govern function at enterprise scale
- EU AI Act operator/deployer obligations addressed (if applicable)