Digital Twin vs Digital Model
A digital model does not necessarily maintain an ongoing automated connection to a real-world counterpart; a twin generally does.
Digital model
Represents an entity or process without necessarily receiving ongoing automated updates.
Security emphasis
Primary risks include unauthorized change, incorrect assumptions, version confusion, and untrusted inputs.
Digital twin
Maintains a context-dependent, dynamic relationship with a counterpart and may support decisions or control.
Security emphasis
Adds identity, synchronization, provenance, integration, availability, and cyber-physical authority concerns.
Why the distinction matters
Labels do not determine risk. Document actual data flows, synchronization, decision rights, and physical authority. A system marketed as a “twin” may behave like a static model; a system called a “model” may participate in an automated control loop.
References
- NIST IR 8356: Security and Trust Considerations for Digital Twin TechnologyNIST · 2025 · Government research publication
Primary NIST treatment of digital-twin characteristics, cybersecurity, and trust considerations.