Security

RaonSecure: “Securing AI Trust With Web3”... Unveils a Multi-Layered AI Integrated Lineup

TECHWORLD ·

[Photo: Kim Hye-jin reporter]

✦ AI Summary

RaonSecure held “SecUp 2026” on the 30th and unveiled a multi-layered AI integrated lineup for security in the agentic AI era.

The lineup consists of five areas: AI identity management, AI behavior control, AI data management, AI autonomous defense, and AI penetration testing.

The company said it will support building an AI trust framework and a security framework for the enterprise AX transformation process through a Web3-based multi-layered AI integrated lineup.

As the spread of AI agents heightens the importance of trust and security, RaonSecure has laid out a security blueprint aimed at the agentic AI era. On the 30th, RaonSecure held “SecUp 2026” and unveiled a multi-layered AI integrated lineup for security in the agentic AI era. The plan is designed to establish a system for controlling AI and securing trust amid the expanding adoption of AI agents, and the lineup is based on the company’s Web3-based solutions.

RaonSecure said it will support companies in using AI safely through an integrated lineup across five areas as its strategy. The five areas consist of AI identity management, AI behavior control, AI data management, AI autonomous defense, and AI penetration testing. Through this, the company outlined a direction to establish an integrated security framework for AI itself.

In his presentation at the opening session, RaonSecure CEO Lee Soon-hyung presented five security strategies needed for AI-native organizations. He said existing methods are limited because they focus on defending against external threats, and explained that the goal is to give AI itself identity, authority, and accountability. He added that the objective is to create a system capable of controlling AI behavior.

Lee Soon-hyung said that advances in AI's reasoning, planning, and execution capabilities require the development of technologies that ensure behavioral safety. He also explained that high-performance AI alone cannot establish trust on its own, and that trustworthy use becomes possible when Web3-based authentication is combined with it. He emphasized that using AI for security alone is not enough, and that identity, accountability, and authority must be built into AI agents. He went on to say that AI identity management is the foundation and starting point of AI security.

That day, RaonSecure unveiled a multi-layered AI integrated lineup aimed at AI control and trust assurance. The lineup is an agentic AI security platform and includes five solutions: ONE Access, ONEShield, ONE Tag, ONE SOAR, and ONE Hacker. ONE Access corresponds to an AI ID card, ONEShield to an AI safe guardrail, ONE Tag to an AI data labeler, ONE SOAR to an AI autonomous security control tower, and ONE Hacker to an AI penetration tester.

The lineup's security coverage spans the entire process, from verifying the source of AI commands to data processing, task execution, and threat response. RaonSecure said it plans to support companies in introducing the security capabilities they need step by step through this framework.

According to RaonSecure, corporate AI adoption cases are expanding, but usage remains centered on PoC, while cases of company-wide rollout are rare. The reason cited was the lack of an AI trust framework. As a result, AI execution histories and decision-making grounds are not recorded, making it difficult to trace causes when problems occur. The company also said that different AI permissions are granted by department, making it difficult to establish control standards at the enterprise level, and that once AI that was not designed with security in mind has been introduced, the framework must be redesigned for security purposes.

In response, RaonSecure said it determined that five gates are needed to build a trustworthy framework, and identified them as identity, data, policy, execution control, and audit. RaonSecure said it will support the building of an AI trust framework through a strategy that uses a Web3-based multi-layered AI integrated lineup, and added that it will provide a security framework for the process of enterprise AX transformation by supporting everything from AI task execution to trust control and security verification.

The company said market demand for ONE Shield and ONE Hacker continues, with demand concentrated in the financial sector. It added, however, that no company has yet built out all five solutions, and said it expects related demand to expand as agentic AI spreads.

Lee said the key to competition among companies in the AI era lies not in AI development itself, but in safe use, and explained that trust will determine AI's future. He added that RaonSecure's goal is to build a more trustworthy future based on AI and Web3.

Source: TECHWORLD · Kim Hye-jin
Original: https://www.epnc.co.kr/news/articleView.html?idxno=407570

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