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Raonsecure gets Korean AI certification for OneShield security platform

Chosunbiz reports that Raonsecure obtained a Korean AI product-and-service confirmation for OneShield, its platform for controlling security risks in generative AI and AI-agent use.

4 min readRead the original reporting
Source-provided image accompanying Raonsecure gets Korean AI certification for OneShield security platform
Attributed reportingSource recorded
Publisher
biz.chosun.com
Source type
Reporting by a news outlet — not a first-party document.

What we could not confirm independently: This claim is attributed to the named outlet. We did not verify it against a first-party document. (biz.chosun.com)

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Key terms

Artificial Intelligence (AI)
The broad field of building systems that perform tasks requiring pattern recognition, reasoning, language, or decision-making.
Prompt Injection
An attack pattern where malicious instructions are inserted into model inputs or retrieved content.
Generative AI
AI systems that produce new content such as text, images, audio, video, or code.
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What happened

Chosunbiz reported on October 14 that Raonsecure obtained an “AI Product and Service Confirmation” for OneShield from the Korea Artificial Intelligence and Software Industry Association. The company says the platform detects and blocks threats including , jailbreak attempts, sensitive-data exposure and policy violations.

Chosunbiz reported that Raonsecure, a security and authentication platform company, said it had obtained an “AI Product and Service Confirmation” for OneShield. The confirmation system is operated by the Korea Artificial Intelligence and Software Industry Association under Korea’s AI Basic Act, and examines whether AI technology is actually applied to a product or service, including the characteristics of AI training and inference and the degree to which AI contributes to functionality.

According to the report, OneShield is designed to detect and block security threats that can arise when organizations use and AI agents. It analyzes input and output data in real time and allows or blocks activity according to policies configured in advance. The described controls include detecting prompt-injection and jailbreak attacks, identifying and anonymizing or masking personal information entered into AI systems, filtering harmful content with a Korean-language-focused model, and controlling sensitive-data entry or inappropriate AI use under organizational security policies.

Raonsecure plans to use the confirmation as evidence that AI technology is applied to OneShield while pursuing public-sector and financial-sector opportunities. The source quotes CEO Lee Jung-ah saying that the move toward AI agents performing practical work is expanding risks such as sensitive-information leakage, malicious prompts and policy circumvention. The supplied report does not independently verify the company’s claims, describe the confirmation’s detailed findings, or identify customers, deployment scale, access conditions or pricing.

Source details: biz.chosun.com ↗

Why it matters

The report describes a concrete AI-security product entering a Korean public-sector and financial-sector sales push. The confirmation indicates that an industry body reviewed whether AI technology is actually applied to the product, but it is not presented as independent proof that OneShield blocks attacks effectively in operational environments. The source provides no pricing, deployment details, customer references, test results or evidence of procurement.

AI agents can act across business systems, making controls around prompts, data handling and policy enforcement practically important for organizations that cannot treat AI use as an isolated chat interaction. A product specifically aimed at these controls is therefore relevant to AI safety and enterprise security, particularly in regulated sectors.

The confirmation may help Raonsecure qualify or build credibility in Korean institutional markets, but its significance should be interpreted narrowly. Based on the supplied report, it confirms the presence and role of AI technology in the product; it does not establish a public benchmark, guarantee security outcomes, or demonstrate that the system can stop every prompt-injection, jailbreak or data-leakage scenario.

No independent testing, customer deployment evidence, pricing, availability information, performance measurements or comparison with competing safeguards is provided. Those unknowns limit what can be concluded about OneShield’s practical effectiveness or adoption.

Interactive Mechanism

Interactive Mechanism: How It Actually Works

Explore the underlying technology behind this development interactively.

Agent Lifecycle Stage:
1
User Intent & Planning: "Audit customer refund request #4092 and settle payment."
2
Tool Calling: Emits structured JSON call crm_get_transaction(id='4092').
3
Guardrail & Verification:🛡️ Paused: High-value action requires human operator sign-off.
4
Final Settlement: Refund recorded, email receipt dispatched, and audit log stored.
Core takeaway: An AI agent is not just a language model—it is a closed loop of planning, tool invocation, and environment feedback. Production systems require self-healing retries and strict human approval guardrails.
Interactive Concept Check+10 Points
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An agent must create a draft calendar event for Tuesday at 2 p.m. Which evidence would establish the requested result?

What to watch next

Watch for public or financial-sector deployments, disclosed customers, procurement wins and independent evaluations of detection and blocking performance. It is also important to see how the product handles false positives, agent permissions, multilingual attacks and sensitive data in real-world workflows. Availability, implementation requirements and pricing remain unknown.

The next meaningful evidence would be named public- or financial-sector deployments, procurement awards, implementation documentation and independent testing of detection, blocking, masking and harmful-content filtering.

Operational performance will matter: organizations should be able to assess false positives, latency, policy customization, auditability and how the system behaves with Korean and non-Korean prompts, tool-using agents and attempts to evade safeguards.

The report does not state whether OneShield is generally available, what integrations it supports, how it is priced or whether the confirmation carries procurement or regulatory consequences. Those details remain unknown.

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