Internet

Innotena Strengthens 'Data-Centric Security' Capabilities to Counter Security Threats in the AI Era

- Support for Building Secure AI Data Pipelines

LEE YUN-JEONG
2026-09-21 09:00:04
[E-Daily Reporter LEE YUN-JEONG ] Innotena (CEOs Kim In-soo and Yoon Young-ho), a company specializing in AX, announced that it is strengthening support for corporate data security and governance through its document centralization solution, “Mpower,” in response to the recent surge in AI-based security threats.

Source: Innotena

With the recent acceleration of generative AI adoption across all industries, threats that are difficult to prevent with traditional network perimeter defenses are on the rise. These include the leakage of internal confidential information due to employees’ use of public AI services and malware infections caused by unverified AI models on external open-source platforms such as Hugging Face. Innotena emphasized that to counter such “Shadow AI” and ransomware threats, a controlled environment that prevents data from being stored on local PCs must be established first.
MOCOMSYS(333050)The company’s flagship security solutions—such as Mpower EZis-C—consolidate business documents on a central server and completely block local storage on user PCs, ensuring that even if a device is infected with malware, there is no data to be stolen or corrupted. Furthermore, when implementing Private AI (RAG), the company provides access control features that segment the AI’s search and response scope based on document importance and user permissions, thereby proactively preventing incidents caused by unauthorized access to internal information or a breach of permissions.
In particular, Innotena highlighted its unique selling point: by integrating middleware linkage technology with document centralization, it implements a “secure data pipeline” that links scattered legacy data and supplies only refined data—subject to security and access controls—to the AI.
Innotena proposed a two-step process that companies should follow when considering AI adoption. The first step is to centralize scattered data and secure it as “data assets” with enhanced security; the second is to gradually apply AI on a per-task basis. The company explained that neither of these steps can be successfully implemented without first establishing centralized document management.
Kim In-soo, CEO of Innotena, stated, “As the value of AI technology increases, so do companies’ practical concerns regarding the risks of unverified open-source software and internal data leaks.” He added, “Innotena will become a key partner that goes beyond simple document protection to help our clients build the safest and most efficient ‘AI data pipeline’ based on a robust security infrastructure.”

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