GRAICE-DELFOS: Towards a GenAI-Powered Framework for Continuous Cybersecurity and Safety Compliance in High-Risk Healthcare AI Systems

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URI: http://hdl.handle.net/20.500.12226/3362
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Autor(es):
Acuña, María Dolores; Häring, Ivo; Morales Trujillo, Leticia; Escalona, María José; Lizcano, David [et al.]
Fecha de publicación:
2026-05-11
Resumen:

Ensuring AI safety and cybersecurity compliance for high-risk healthcare AI is complex under the EU AI Act, NIS2, and Cyber Resilience Act. This paper introduces GRAICE, a GenAI-based framework for automated remediation and continuous regulatory alignment, integrated into DELFOS, a clinical support tool for genetic diagnostics. By embedding GenAI agents into the AI lifecycle, the system replaces static audits with a continuous, evidence-driven compliance and cybersecurity continuum. Expected results include enhanced resilience, automated risk mitigation, and increased clinical trust.

Ensuring AI safety and cybersecurity compliance for high-risk healthcare AI is complex under the EU AI Act, NIS2, and Cyber Resilience Act. This paper introduces GRAICE, a GenAI-based framework for automated remediation and continuous regulatory alignment, integrated into DELFOS, a clinical support tool for genetic diagnostics. By embedding GenAI agents into the AI lifecycle, the system replaces static audits with a continuous, evidence-driven compliance and cybersecurity continuum. Expected results include enhanced resilience, automated risk mitigation, and increased clinical trust.

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