Integrating Quality Assurance and Cyber Defense in Generative AI Applications for Healthcare Systems

Abstract

Generative Artificial Intelligence (AI) is transforming the medical sphere, making it possible to achieve high-quality diagnostics, individual treatment, and informed choices. But its increased usage is causing a serious issue of data integrity, system reliability, and cybersecurity. The paper reviews how Quality Assurance (QA) and the Cyber Defense models can be combined to make healthcare systems using generative AI to be safe, accurate, and trustworthy. It looks at major methodologies, issues and new solutions that reconcile AI innovation to ethical, regulatory and security norms. Through the integration of QA validation and military-grade cyber defense, healthcare organizations will be able to have resilient, transparent, and secure AI applications that will eventually result in patient trust and improvement of overall quality of digital healthcare delivery.