The Industry-Academic Cooperation Group of Cha University (Professor Han Hyeon-wook) announced that it signed a 'MOU on Medical and General Network Security Research and Development through IITP Technology Exchange and Collaboration' with Sands Lab (CEO Kim Ki-hong), an AI security specialized company, at the Cha Bio Complex in Pangyo, Seongnam-si, Gyeonggi-do on the 6th.
This agreement, supported by technology exchange support from the Institute for Information and Communications Technology Planning and Evaluation (IITP), is part of a joint research initiative to address security threats faced by large-scale language models (LLMs) and AI-based diagnostic and analysis platforms, which are rapidly expanding in the medical and healthcare sectors. Specifically, the goal is to develop technologies that proactively address various security threats, such as prompt injection, model contamination, and API vulnerabilities, in medical AI systems that handle sensitive data such as patient medical records, image data, and genomic information.
Cha University of Science and Technology will provide real-world medical environments and clinical data, while Sands Lab will develop a security response system optimized for the medical environment using AI-based threat analysis and network security technologies. Both parties believe this will accelerate the validation and commercialization of next-generation medical security technologies.
The scope of cooperation between the two sides includes ▲exchange of academic and technical information related to AI security ▲joint research on threat analysis and response security technology ▲joint use of physical resources such as equipment and facilities ▲discovery of additional cooperation projects, etc. The development of an integrated security framework encompassing hospital EMR (electronic medical record) systems, genome analysis servers, remote treatment platforms, and AI medical devices will also be promoted.
Furthermore, this collaboration is expected to foster an ecosystem that connects industry, academia, research, and hospitals, including the development of evidence-based medical AI model protection technology, related patent and paper applications, joint participation in academic conferences, and the training of medical security experts.
Professor Han Hyun-wook of the Industry-Academic Cooperation Group at CHA University stated, “As much as medical AI enables innovation in patient treatment, its value will be difficult to maintain if security is not ensured.” He added, “Through this agreement, we will establish a reliable security system that spans the entire life cycle of hospitals, research centers, and medical devices.”
“Medical data security is a field directly related to life, and we live in an era where stable operation is competitiveness,” said Kim Ki-hong, CEO of Sands Lab. “We will apply next-generation security technology to ensure that the medical big data held by Cha University can be safely utilized for clinical and healthcare AI development.”
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