Digital twin security protects the identities, data, models, interfaces, synchronization paths, decisions, and control relationships that connect a digital representation with physical or operational reality. It combines established IT, OT, IoT, cloud, product, AI, and systems-security practices with explicit assurance for provenance, model integrity, freshness, and physical authority.
The security boundary spans both worlds
A twin may only visualize state, or it may inform maintenance, optimize operations, generate recommendations, or issue commands. Controls should be proportional to that authority and to credible consequences.
Core dimensions
Evaluate identity, authenticity, integrity, provenance, confidentiality, authorization, availability, synchronization, model integrity, command integrity, safety, and resilience.
Start with evidence
Document the architecture, mark trust boundaries, identify authoritative sources, connect decisions to exact inputs and model versions, and define safe behavior when the twin is uncertain or unavailable.
Related resources
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.
- NIST SP 800-82 Rev. 3: Guide to Operational Technology (OT) SecurityNIST · 2023 · Government guidance
Security guidance for OT while accounting for performance, reliability, and safety requirements.
- NIST SP 800-160 Vol. 1 Rev. 1: Engineering Trustworthy Secure SystemsNIST · 2022 · Systems-security engineering guidance
Principles and life-cycle activities for engineering trustworthy secure systems.