S2W says on the 14th it joins the Naver Cloud consortium for the Specialized AI Foundation Model Development (cybersecurity) project led by the Ministry of Science and ICT and the National IT Industry Promotion Agency (NIPA). /Courtesy of S2W

Big data analytics artificial intelligence (AI) corporations S2W will take part in the government-led project to develop an AI foundation model specialized for cybersecurity.

S2W said on the 14th that it will join the "specialized AI foundation model development (cybersecurity) project" overseen by the Ministry of Science and ICT and the National IT Industry Promotion Agency (NIPA) as a member of the Naver Cloud consortium.

As AI-driven cybersecurity threats have recently grown, the need to secure detection and response capabilities is drawing rapid attention. In response, the government is pushing a project to develop an AI foundation model specialized for cybersecurity, based on homegrown technology and models, to accelerate the AI transition (AX) of the domestic security industry and internalize capabilities for developing security-specialized AI models.

S2W will participate in this project as a member of the Naver Cloud consortium. The consortium is composed of corporations, institutions, and universities, including Naver Cloud as the lead organization, LG CNS, LG AI Research, Korea Aerospace Industries (KAI), Korea Hydro & Nuclear Power Co. (KHNP), Seoul National University, and Korea Advanced Institute of Science and Technology (KAIST).

The consortium plans to develop an ultra-large security-specialized model with a mixture-of-experts (MoE) architecture at the 700-billion-parameter (700B) level, optimized for Korea's environment, based on Naver Cloud's "HyperCLOVA X" and LG AI Research's "EXAONE." After model development, it will also carry out validation and advancement.

In this project, S2W plans to leverage its accumulated technology in threat intelligence (TI) and security-specialized AI. Based on its experience building its own cybersecurity-specialized language models and its capability to collect and analyze threat data and convert it into intelligence, it will participate in model training and validation. In particular, it will focus on improving the model's completeness and field applicability by incorporating hidden-channel data that are difficult to obtain on the surface web.

Chief Executive Suh Sang-duk of S2W said, "We are honored to join a national-level project to enhance competitiveness in security AI," adding, "By helping lay the groundwork for independent technology, we will respond more effectively to increasingly sophisticated cyber threats and contribute to strengthening security sovereignty."

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