The Unpriced Dependency: The Assumption Embedded in Every Aviation Digital Twin

Every aviation digital twin business case contains an unpriced architectural assumption: that the data link between physical asset and virtual model will function continuously. Three converging EU regulatory frameworks — DORA, NIS2, and the EU AI Act — are now auditing this assumption with enforceable penalties. The July 2024 CrowdStrike outage and the June 2024 counterfeit titanium investigation evidence two distinct failure modes: connectivity loss and data accuracy compromise. This note concludes that architectural redundancy within the same dependency does not create resilience, and that boards must demonstrate regulatory defensibility through architectural redesign rather than vendor assurances.

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Publication Details

Published
2026-04-26
DOI
https://doi.org/10.66868/teijm6-n
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00
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article

The Unpriced Dependency: The Assumption Embedded in Every Aviation Digital Twin

David Yeoman
Ethics and Social Impacts of AI
article

The Unpriced Dependency: The Assumption Embedded in Every Aviation Digital Twin

David Yeoman
article en

Abstract

Every aviation digital twin business case contains an unpriced architectural assumption: that the data link between physical asset and virtual model will function continuously. Three converging EU regulatory frameworks — DORA, NIS2, and the EU AI Act — are now auditing this assumption with enforceable penalties. The July 2024 CrowdStrike outage and the June 2024 counterfeit titanium investigation evidence two distinct failure modes: connectivity loss and data accuracy compromise. This note concludes that architectural redundancy within the same dependency does not create resilience, and that boards must demonstrate regulatory defensibility through architectural redesign rather than vendor assurances.

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Ethics and Social Impacts of AI
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The Unpriced Dependency: The Assumption Embedded in Every Aviation Digital Twin — David Yeoman · (2026) | TGRS Research Map | TGRS