Definition
System dependency mapping identifies and models the dependencies of system components on each other to carry out their function.
How it works
The organization collects and models architectural information about the software, hardware, and products and maps the dependencies between systems, including each system's internal components and dependencies.
Considerations
- Data exchanges identified in the network mapping efforts usually indicate such dependencies, but may not be part of the intended design.
- Architectural design artifacts and SMEs may need to be consulted to determine if dependencies are intended or otherwise essential.
- System dependency mapping can identify internal dependencies of standard and pre-built systems that should be incorporated into a complete system dependency model.
- System dependencies for critical systems--those supporting critical organizational activities--should be prioritized for supply chain risk analysis.
- System dependencies should identify the integral components of a given named system and their structure to form a system.
- System dependencies with a given system may be fixed by a particular product's configuration, and leveraging external knowledge bases about dependencies available (e.g., from package managers) is essential.
Implementation perspective
System Dependency Mapping should be treated as a technical defensive capability rather than a product checkbox. In practice, teams should define the protected scope, the conditions under which the technique acts, and the observable evidence that demonstrates the intended behavior. For this technique, likely engineering context includes the relevant system, activity, and evidence sources.
Use the technique to improve the shared model of systems, activities, dependencies, threats, or risk before making defensive decisions.
Questions to ask
- What system, activity, relationship, or risk is being modeled, and where is the scope boundary?
- Which authoritative data sources populate the model, and how is their quality assessed?
- How often is the model refreshed after architectural, operational, or threat changes?
- Which decisions, analyses, or engineering actions are expected to use the model?
Evidence and validation
- Documented model scope, assumptions, and ownership
- Source inventories, data-quality checks, and refresh records
- Version history showing material changes to the model
- Examples of decisions or analyses that used the model
Common failure patterns
- The model is treated as a one-time diagram rather than a maintained decision aid.
- Unverified or stale source data is accepted without recording uncertainty.
- The model is comprehensive in appearance but disconnected from engineering or operational decisions.
This implementation perspective is original Bare Metal Cyber educational content. It does not replace the official D3FEND definition or establish that a specific product implements the technique.
Technique hierarchy
Top-level family
Parent techniques
Direct child techniques
None listed at this level.
Artifacts and ontology entities
These relationships describe how D3FEND connects a defensive technique to artifacts or other ontology entities. They describe graph semantics, not a product certification.
Explicit technique relationships
Authoritative sources
- Open this technique on the official D3FEND website ↗
- Open the official ontology resources ↗
- Catia UAF Plugin ↗Dassault Systemes · InternetArticleReference
- Software vulnerability graph database ↗Veracode, Inc. · Darius Tsien Wei FOO, Ming Yi ANG, Asankhaya Sharma, Jie Shun YEO · PatentReference
- Tivoli Application Dependency Discovery Manager 7.3.0 - Dependencies between resources ↗IBM · UserManualReference
- Unified Architecture Framework (UAF) ↗OMG · SpecificationReference
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