MNT-10.1: Automated Support For Predictive Maintenance
Automated mechanisms exist to transfer predictive maintenance data to a computerized maintenance management system.
Renumbered: Formerly MNT-03.3 in SCF 2025.4.
Control Question: Does the organization use automated mechanisms to transfer predictive maintenance data to a computerized maintenance management system?
General (4)
| Framework | Mapping Values |
|---|---|
| CSA IoT SCF 2 | OPA-02 |
| NIST 800-53 R4 | MA-6(3) |
| NIST 800-53 R5.2 | MA-06(03) |
| NIST 800-82 R3 | MA-06(03) |
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
Maintenance (MNT) 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 MNT 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 MNT domain capabilities (e.g., maintenance pans) are documented and maintained by process owners. ▪ A centralized Change Management Office (CMO), or similar function, is appropriately staffed and supported to implement and maintain MNT domain capabilities. ▪ Technical procedures (e.g., ITIL change enablement) are utilized along with change management governance capabilities to ensure successful, efficient and secure maintenance operations. ▪ 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 MNT 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 automatically transfer predictive maintenance data to a computerized maintenance management system.
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
- MNT-10.1_A01 automated mechanisms used to transfer predictive maintenance data to a maintenance management system are defined.
- MNT-10.1_A02 predictive maintenance data is transferred to a maintenance management system using automated mechanisms.
Technology Recommendations
Micro/Small
- Document maintenance activities in a log
Small
- Maintenance log
- Authorized maintenance personnel list
Medium
- Formal maintenance management program
- CMMS or ticketing system
Large
- CMMS (e.g., Maximo, ServiceNow)
- Scheduled maintenance program
- Vendor access controls
Enterprise
- Enterprise CMMS platform
- Automated maintenance scheduling
- Vendor access controls
- Remote access controls