SenseTone Takes Charge of OT Industrial Facility Security in MSIT Physical AI Security Project
TECHWORLD ·
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SenseTone said it will participate as a co-research and development institution in a state project promoted by the Ministry of Science and ICT and the National IT Industry Promotion Agency (NIPA).
The project is titled 'Development of Multi-Layer Security Technology Based on Physical AI for Collaborative Intelligence Systems,' and the company has formed a consortium with RaonSecure, Jeonbuk National University, and Sogang University.
Based on OTAC, SenseTone will be responsible for protecting the OT endpoint segment, developing OT segment security technology, and handling control command analysis and control along with AI-based anomaly detection and response.
SenseTone said it will participate as a co-research and development institution in a state project promoted by the Ministry of Science and ICT and the National IT Industry Promotion Agency (NIPA). The project is titled "Development of Multi-Layer Security Technology Based on Physical AI for Collaborative Intelligence Systems." The project aims to build security in multiple layers, including the stage where Physical AI actually operates industrial equipment.
SenseTone has formed a consortium with RaonSecure, Jeonbuk National University, and Sogang University, among others. RaonSecure will serve as the lead institution. The consortium's goal is to develop Physical AI multi-layer security technology for dark factory environments.
Based on its proprietary OTAC (One-Time Authentication Code) technology, SenseTone will be responsible for protecting the OT endpoint segment within the consortium. It will also take on the development of security technology for the OT segment, where Physical AI commands lead to actual industrial equipment operation. In addition, it will handle the development of control command analysis and control technology, as well as AI-based anomaly detection and response technology.
SenseTone explained that even if human intervention is minimized in the production process of a dark factory, equipment maintenance will not disappear, nor will changes to control logic or configuration changes. Accordingly, SenseTone is pursuing the development of security technology in the OT domain on the premise of such demand.
SenseTone believes that existing responses centered on monitoring and detection have limitations in blocking the transition of unauthorized control commands into actual equipment operation. Accordingly, it is pursuing a direction in which a security framework is implemented with the goal of blocking threats before they trigger real equipment operation.
SenseTone emphasizes the need for equipment access authentication and says pre-execution verification and control of whether control commands are allowed is also necessary. In line with this direction, SenseTone plans to fully implement a "Pre-execution Control" framework through this project.
SenseTone plans to identify and authenticate the party accessing the equipment during the process of changing plans, verify the content of the commands being carried out, and control whether actions fall within the permitted scope. Through this, it aims to establish a system that performs authentication, verification, and control at the equipment access stage and before control commands are executed.
SenseTone CEO Yoo Chang-hoon said that in Physical AI environments, it is necessary to verify the source and integrity of commands delivered to actual equipment, and that trust in whether commands are authorized is also needed. He added that through this project, the company aims to complete a global top-tier OT security standard model that can be applied immediately to existing industrial equipment, and said it also seeks to drive an ecosystem that supports the safe global expansion of the manufacturing and robotics industries.
Source: TECHWORLD · Lee Gwang-jae
Original: https://www.epnc.co.kr/news/articleView.html?idxno=408345
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Source: TECHWORLD
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