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Raon Secure, Sensetone and D.Silo Join Government Physical AI Security Project

By Ethan Chen | Oct 16, 2026, 18:40 KST | Based on 12 Korean news reports

Key points

Security companies have been announcing their participation in a project titled "Development of Physical AI-Based Multilayer Security Technology for Collaborative Intelligence Systems," supported by the Ministry of Science and ICT and the National IT Industry Promotion Agency (NIPA). Raon Secure said on the 15th it was selected as the lead institution, and Sensetone and D.Silo announced their participation on the 16th.

Raon Secure, the lead institution, will develop technology that gives robots and AI agents a "digital ID" to verify their identity and permissions in real time. According to IT Chosun, the aim is to prevent cyberattacks on or malfunctions of AI and robots at industrial sites from leading to physical accidents. TheElec described it as a security framework for smart factories and autonomous manufacturing, while Chosun Biz and Techworld News reported that it is an industry-academia-research collaboration.

Sensetone joins as a co-research institution and will handle security technology for the operational technology (OT) segment, where physical AI commands turn into actual operation of industrial equipment. Datanet reported that it protects industrial equipment in dark factory environments, while Digital Daily said it will develop pre-execution control technology and cited a hacking case at a French supermarket's refrigeration and HVAC system to underline the importance of OT security.

D.Silo is a private AI company based on fully homomorphic encryption (FHE) and will develop technology to protect data and models in the same project. Datanet and Digital Today reported that the project falls under a program to build an R&D ecosystem for a collaborative-intelligence physical AI software platform. The three companies each cover a different layer: identity authentication, equipment control and data and models.

Sources (in Korean)

Drafted with AI writing tools and published first; Ethan Chen reviews it after publication. Translated from the Korean version.