Research Lab Composition

The Security Development Team adopts an integrated approach, focusing on responding to various ongoing cyber threats through network security, application security, and integrated information security management service research. For robust security without gaps, we focus on building and developing comprehensive security solutions suitable for cyber mesh environments, from Endpoint security that protects companies' key core data, systems, and resources to server security services.

The Security System Team focuses particularly on security that protects corporate assets, centered on research and development of network security systems, integrated information security management systems, and security monitoring and control systems to respond to evolving cyber threats. We are expanding the scope of system development with the goal of applying heterogeneous complex security monitoring systems to future-oriented strategies, including renewable energy security monitoring, disaster prevention, and smart factory security monitoring systems, which have recently been emphasized in importance.

The Artificial Intelligence Team has introduced innovation to the cybersecurity domain through AI technology. AI is being utilized to equip appropriate defense postures for diversifying new cyber threats and enable timely response to attacks. In particular, the technology that analyzes large amounts of data in real-time to detect anomalies and identify potential risks quickly and accurately can streamline the entire security process. We are also conducting research and development to provide disaster prevention technology that enables prediction alerts and security warnings for risks in offline environments through AI video analysis.

The Data Analysis Team is responsible for collecting and analyzing data that forms the basis of artificial intelligence technology. Data collection and analysis have a significant impact on AI performance, as larger scale research data allows for more accurate predictions. However, having more data doesn't always guarantee good results, so we are working on understanding data and extracting meaningful information to ensure accurate and superior performance. AI and big data have a close relationship, and data collection and analysis are key factors in improving AI performance. Through big data, AI training data collection, composition, and analysis, we are developing new algorithms to solve problems.

The Project Planning and Management Team plans projects between government, institutions, and companies. Conducting and managing the research and development process according to a set plan and coordinating collaboration among various stakeholders is very important when multiple projects are running simultaneously. This team manages the overall project to achieve strategic goals and supports not only efficient resource and risk management but also follow-up management. They also discover R&D business technologies, present project goals, conduct research, manage project costs, oversee projects, and supervise the company-wide management of the entire project, including the utilization of outcomes, supporting more efficient and successful results.

The Intellectual Property Management Team leads the process of filing and registering intellectual property based on innovative ideas and technologies, and is responsible for protecting assets created through creative ideas. At the forefront of technological innovation, they support the concretization of unprecedented ideas and do their best to secure intellectual property for business value creation. In particular, to prevent the unfair use of the company's technology by competitors, they respond to infringements and enhance competitiveness by creating strong patents that block the possibility of design-around. For a more systematic approach, they utilize dedicated patent law firms to carry out intellectual property management tasks, playing a pivotal role in maximizing the value of technology and strengthening the company's competitiveness.