AST-15.2: Categorize Artificial Intelligence (AI)-Related Technology Assets, Applications and/or Services (TAAS)
Mechanisms exist to categorize Artificial Intelligence (AI)-enabled Technology Assets, Applications and/or Services (TAAS).
Renumbered: Formerly AST-31.1 in SCF 2025.4.
Control Question: Does the organization categorize Artificial Intelligence (AI)-enabled Technology Assets, Applications and/or Services (TAAS)?
General (2)
| Framework | Mapping Values |
|---|---|
| NIST AI 100-1 (AI RMF) 1.0 | MAP 2.0 |
| Shared Assessments SIG 2025 | R.9 |
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
Asset Management (AST) 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 AST 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 AST domain capabilities are well-documented and kept current by process owners. ▪ An IT Asset Management (ITAM) team, or similar function, is appropriately staffed and supported to implement and maintain AST domain capabilities. ▪ Technology is leveraged to enhance the efficiency and accuracy of ITAM operations (e.g., ITAM platform, (e.g., Configuration Management Database (CMBD) Asset 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 AST 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 categorize Artificial Intelligence (AI) and Autonomous Technologies (AAT).
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
- AST-15.2_A01 a defined methodology is used to categorize Artificial Intelligence (AI)-enabled Technology Assets, Applications and/or Services (TAAS) based on data sensitivity and criticality.
Evidence Requirements
- E-AST-24 Technology Assets, Applications, and/or Services (TAAS) Categorization
-
Documented evidence of a methodology to categorize Technology Assets, Applications, and/or Services (TAAS) (e.g., criticality and data classification considerations)
Asset Management
Technology Recommendations
Micro/Small
- Data classification scheme
- IT Asset Management (ITAM) program
- Configuration Management Database (CMDB)
- Artificial Intelligence (AI) / autonomous technologies governance program
Small
- Data classification scheme
- IT Asset Management (ITAM) program
- Configuration Management Database (CMDB)
- Artificial Intelligence (AI) / autonomous technologies governance program
Medium
- Data classification scheme
- IT Asset Management (ITAM) program
- Configuration Management Database (CMDB)
- Artificial Intelligence (AI) / autonomous technologies governance program
Large
- Data classification scheme
- IT Asset Management (ITAM) program
- Configuration Management Database (CMDB)
- Artificial Intelligence (AI) / autonomous technologies governance program
Enterprise
- Data classification scheme
- IT Asset Management (ITAM) program
- Configuration Management Database (CMDB)
- Artificial Intelligence (AI) / autonomous technologies governance program