A structured process for grouping assets, systems, or processes by their importance to safety, compliance, or operations.
Criticality segmentation is a structured process for classifying and grouping assets, systems, or processes according to how important they are to safety, regulatory compliance, product quality, security, or business continuity.
In industrial and manufacturing environments, it is commonly applied to:
– Physical assets (machines, utilities, infrastructure)
– OT and IT systems (control systems, MES, historians, ERP interfaces)
– Production lines or process areas
– Data flows and network zones
The outcome is usually a set of defined criticality tiers (for example: critical, high, medium, low) that are used to guide risk assessments, protection measures, and operational priorities.
In regulated and manufacturing environments, criticality segmentation typically supports:
– **Risk and security planning**: Deciding where to apply stricter cyber, safety, or access controls based on the potential impact of failure or compromise.
– **Maintenance and reliability**: Prioritizing preventive maintenance and spares for highly critical equipment that affects safety, compliance, or major production capacity.
– **Business continuity planning**: Identifying which systems or lines must be restored first after an outage.
– **Quality and compliance controls**: Applying more stringent data integrity, traceability, and change control to assets and systems that influence product release decisions or regulatory records.
Segmentation can be reflected in physical layouts (separate areas or equipment), logical groupings (tags in CMMS, EAM, or MES), or network zones (for example, OT security zones with different control levels).
Criticality segmentation **includes**:
– Systematic ranking or grouping against defined impact criteria (such as safety, environment, quality, throughput, legal/regulatory, or financial impact)
– Use of those groups to differentiate controls, monitoring, and response procedures
– Application to both cyber-physical systems (OT) and supporting IT platforms
Criticality segmentation **does not automatically include**:
– The detailed risk assessment itself (that is a separate activity, though it uses the segmentation)
– The technical implementation of network segmentation, firewalls, or zoning (these are implementation mechanisms informed by the segmentation)
– A guarantee of compliance with any specific safety, cybersecurity, or regulatory standard
Criticality segmentation is often confused or intertwined with:
– **Risk assessment**: Risk assessment evaluates likelihood and impact for specific threats or failure modes. Criticality segmentation is a higher-level categorization of importance that often feeds into, or is refined by, risk assessments.
– **Network segmentation or zoning**: Network segmentation is a technical design of communication paths and control boundaries. Criticality segmentation is the policy or classification layer that informs how strict those segments should be.
– **Asset classification**: Asset classification may be based on type, owner, or location. Criticality segmentation specifically focuses on importance and impact.
In practice, organizations may merge these concepts in their procedures, but they remain distinct steps conceptually.
Within manufacturing and regulated operations, criticality segmentation is commonly applied to:
– **Control systems**: Grouping PLCs, DCS nodes, safety instrumented systems, and SCADA according to their impact on safety and production continuity.
– **Manufacturing execution systems (MES)**: Classifying MES components (such as batch management, electronic batch records, quality workflows, and interfaces to ERP or LIMS) by their relevance to product quality and release decisions.
– **Quality and data systems**: Segmenting historians, LIMS, QMS, and document control systems by how critical their data is for regulatory records, investigations, and audits.
– **Infrastructure and utilities**: Ranking power supply, HVAC, compressed air, purified water, or cleanroom systems by their direct impact on product quality and regulatory requirements.
The segmentation results are often encoded into asset registers, CMMS/EAM systems, configuration management databases (CMDB), or MES/ERP master data so that other processes (change control, maintenance, cybersecurity controls, incident response) can use the classification consistently.
In risk and safety management practices, criticality segmentation:
– Provides a structured basis for focusing more detailed analyses (such as HAZOP, FMEA, cyber risk assessments) on high-criticality items.
– Supports the definition of differentiated control measures, monitoring frequencies, and escalation workflows.
– Helps demonstrate a reasoned, documented approach to prioritizing safeguards and resources across complex plants and system landscapes.
While the exact criteria and tiers differ between organizations and industries, the core idea is to maintain a consistent, traceable mapping of what is most critical and to use that mapping across operations, engineering, IT/OT, and quality functions.