S2W’s Research on "Controllable AI" Technology Accepted by International Academic Journal

Tracing the Origins of Attacks Behind Security Incidents

S2W announced on January 8 that a research paper on the "Framework for Identifying Root Causes of Network Intrusions," conducted jointly with researchers from the Korea Advanced Institute of Science and Technology (KAIST), has been accepted for publication in the international academic journal "Computers & Security," which specializes in information security.

"Computers & Security" is an information technology (IT) security journal published by the global company Elsevier. It is widely recognized as an authoritative source, used not only by academic researchers but also by security experts in public and government agencies, as well as in industrial settings, for both research and practical applications.

S2W, 'Controllable AI' Technology Research Adopted by International Academic Journal. S2W

This study focused on fundamentally identifying and analyzing the causes and relationships of various security issues that arise in complex network environments.

While previous security research has mainly concentrated on developing methods to detect abnormal signs in systems, this paper focused on constructing a chronology of network events to trace the origins of attacks that led to security incidents. S2W highlighted the significance of this work, explaining that it systematically tracks risks based on "controllable artificial intelligence (AI)" and provides an explainable decision-making process.

Lee Seunghyun, Head of the SAIP Product Division at S2W, stated, "Going forward, we will continue to advance our technology research and platform sophistication based on controllable AI, so that we can effectively support the multifaceted and high-level decision-making challenges faced by public and private organizations, and will gradually expand the application scope of our solutions."