Yongjae Lee is a technology commercialization leader in AI × Security and an expert in AI Security Intelligence, combining natural language processing (NLP) with cybersecurity. He co-founded S2W Inc. (listed on KOSDAQ in September 2025) and led the development of cyber threat intelligence (CTI) technologies based on the dark web and deep web. He also developed key AI technologies, including DarkBERT, the world’s first LLM specialized for the dark web. He has published six papers at top-tier international conferences, including ACL, NAACL, and NDSS, and has delivered numerous practical AI security solutions such as Tweezers for threat detection and BitAbuse for phishing defense.
Ho-Joon Lee is an AI commercialization expert who bridges cutting-edge research and real-world industrial applications. He has more than 20 years of research and development experience in AI and language intelligence. Based on core technologies such as natural language processing (NLP), sentiment analysis, and knowledge graphs, he has led and participated in numerous industry–academia collaboration projects. He also holds multiple AI application patents, including technologies for multilingual translation systems optimized for chat environments, and has extensive experience in technology transfer and commercialization.
Myunghoon Noh holds professional certifications in ISRM (Information Security Risk Management) and CPPG (Certified Privacy Protection General) and is a hands-on specialist covering both data ontology development and service operations. He also supports the frontend development and service operations of Retrvr, a Compliance Automation SaaS platform, contributing to product implementation and operational stability.
Gicheol Kim is an AI research and development specialist who applies generative AI and data-driven problem solving to real-world industrial challenges. He has participated in a wide range of practical projects, including the development of anomaly and fraudulent transaction detection solutions for e-commerce and generative AI platforms for the manufacturing sector. With expertise in Retrieval-Augmented Generation (RAG) and Python-based development, he has contributed to the implementation and advancement of production-ready AI services. Drawing on advanced training in data analytics and an academic background in science and engineering at both the bachelor’s and master’s levels, he has built extensive experience in developing practical AI technologies with strong industrial applicability.