dc.contributor.authorAcuña, María Dolores
dc.contributor.authorHäring, Ivo
dc.contributor.authorMorales Trujillo, Leticia
dc.contributor.authorEscalona, María José
dc.contributor.authorLizcano, David
dc.date.accessioned2026-06-03T14:53:01Z
dc.date.available2026-06-03T14:53:01Z
dc.date.issued2026-05-11
dc.identifier.urihttp://hdl.handle.net/20.500.12226/3362
dc.description.abstractEnsuring 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.es
dc.language.isoenes
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleGRAICE-DELFOS: Towards a GenAI-Powered Framework for Continuous Cybersecurity and Safety Compliance in High-Risk Healthcare AI Systemses
dc.typeconferenceObjectes
dc.description.course2025-26es
dc.identifier.conferenceObjectXXIX Congresso Ibero-Americano em Engenharia de Softwarees
dc.identifier.doihttps://doi.org/10.5753/cibse.2026.42464.
dc.publisher.facultyFacultad de Ciencias de la Empresa y la Tecnologíaes
dc.rights.accessRightsopenAccesses


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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Excepto si se señala otra cosa, la licencia del ítem se describe como Attribution-NonCommercial-NoDerivatives 4.0 Internacional