What question did this study set out to answer?

The research aims to analyze the unique security risks associated with generative AI systems and their governance frameworks.

February 9, 2026Open Access

Securing Generative AI Systems: Threat-Centric Architectures and the Impact of Divergent EU–US Governance Regimes

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This analysis maps adversarial techniques to generative AI architectures, highlighting implications of EU-US regulatory differences.

The research aims to analyze the unique security risks associated with generative AI systems and their governance frameworks.
Conducted a threat-centric analysis mapping adversarial techniques to generative AI architectural layers.
Utilized established taxonomies such as OWASP LLM Top 10 and MITRE ATLAS.
Incorporated empirical research to assess structural security risks.
Identified that many security risks in generative AI are structural rather than configurable.
Demonstrated limitations of traditional perimeter-based security controls.
Found that EU regulatory frameworks establish a common baseline for GenAI security across transatlantic deployments.

Kanabar et al. (2026) studied this question.

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