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