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

  • María Dolores Acuña University of Seville
  • Ivo Häring Fraunhofer EMI
  • Leticia Morales Trujillo University of Seville
  • María José Escalona University of Seville
  • David Lizcano Madrid Distance Learning University

Resumo


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.

Referências

Moustafa Abdelwanis, et al. (2026) “Artificial intelligence adoption challenges from healthcare providers’ perspectives: A comprehensive review and future directions”, Safety Science, Vol. 193, p107028, DOI: 10.1016/j.ssci.2025.10702828

Roy Okonkwo, et al. (2025) “A study on advanced AI-Driven continuous compliance monitoring for cybersecurity regulations in healthcare”, WJARR, 26(03), 2249-2255 DOI: 10.30574/wjarr.2025.26.3.2424

Elena Enamorado-Díaz, et al. (2025) “A novel machine learning-based proposal for early prediction of endometriosis disease”, Expert Systems with Applications, Vol. 271, p. 126621, ISSN 0957-4174, DOI: 10.1016/j.eswa.2025.126621
Publicado
11/05/2026
ACUÑA, María Dolores; HÄRING, Ivo; TRUJILLO, Leticia Morales; ESCALONA, María José; LIZCANO, David. GRAICE-DELFOS: Towards a GenAI-Powered Framework for Continuous Cybersecurity and Safety Compliance in High-Risk Healthcare AI Systems. In: CONGRESSO IBERO-AMERICANO EM ENGENHARIA DE SOFTWARE (CIBSE), 29. , 2026, Recife/PE. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2026 . p. 392-395.