| dc.contributor.author | Acuña, María Dolores | |
| dc.contributor.author | Häring, Ivo | |
| dc.contributor.author | Morales Trujillo, Leticia | |
| dc.contributor.author | Escalona, María José | |
| dc.contributor.author | Lizcano, David | |
| dc.date.accessioned | 2026-06-03T14:53:01Z | |
| dc.date.available | 2026-06-03T14:53:01Z | |
| dc.date.issued | 2026-05-11 | |
| dc.identifier.uri | http://hdl.handle.net/20.500.12226/3362 | |
| dc.description.abstract | 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. | es |
| dc.language.iso | en | es |
| dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
| dc.title | GRAICE-DELFOS: Towards a GenAI-Powered Framework for Continuous Cybersecurity and Safety Compliance in High-Risk Healthcare AI Systems | es |
| dc.type | conferenceObject | es |
| dc.description.course | 2025-26 | es |
| dc.identifier.conferenceObject | XXIX Congresso Ibero-Americano em Engenharia de Software | es |
| dc.identifier.doi | https://doi.org/10.5753/cibse.2026.42464. | |
| dc.publisher.faculty | Facultad de Ciencias de la Empresa y la Tecnología | es |
| dc.rights.accessRights | openAccess | es |