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Hancomwith and Connectionary to Co-Develop AI Document Auto-Classification, Strengthening N2SF Response

TECHWORLD ·

Song Sang-yeop, CEO of HancomWITH (left), and Lee Ji-won, CEO of Connectori, pose for a commemorative photo after signing a memorandum of understanding (MOU) to jointly develop an AI-powered intelligent document auto-classification product. [Photo: HancomWITH]

✦ AI Summary

Hancomwith and Connectionary have signed a memorandum of understanding (MOU) to jointly develop an AI intelligent document auto-classification product.

The two companies plan to combine Hancomwith's DSPM and encryption technologies with Connectionary's AI data classification engine, Classification Studio, to develop unstructured document content analysis, security classification recommendations, and encryption linkage after classification recommendations.

The collaboration is aimed at responding to rising demand for security classification of documents and data at public institutions following the adoption of N2SF, and the two companies plan to refine N2SF-compliant security guideline functions and advance product commercialization.

Hancomwith and Connectionary have signed a memorandum of understanding (MOU) to jointly develop an AI intelligent document auto-classification product. Hancomwith announced the agreement on the 23rd. The two companies plan to combine Hancomwith's DSPM and encryption technologies with Connectionary's AI data classification engine, Classification Studio.

The joint development will focus on analyzing unstructured document content. The two companies plan to jointly develop a feature that suggests security classifications and another that links classification recommendations to encryption. The goal is to build an integrated management system.

The collaboration was launched in response to rising demand for security classification of documents and data at public institutions following the adoption of N2SF. The focus is on managing the data state of C/S/O classification criteria for confidential, sensitive, and open information, and on raising the protection level for high-risk assets.

Hancomwith will use DSPM technology to identify data assets within an organization and assess their security posture, while also linking its post-quantum cryptography (PQC) data encryption solution, Hancom xDB. Through this, the company has established a support structure that provides continuous processing from data identification to protection based on Hancomwith's DSPM and Hancom xDB.

Connectionary's Classification Studio is equipped with the ability to structure the semantic units of unstructured data and compare them with regulatory application conditions. Based on this, it suggests C/S/O classifications and the grounds for judgment, and it also provides a function to continuously manage whether a classification should change when data or business conditions change.

The two companies note that existing keyword- and rule-based classification methods have limitations in reflecting context. Accordingly, they plan to pursue AI-based analysis of document content and AI-based presentation of the grounds for classification decisions, with the aim of improving classification accuracy and management efficiency.

Going forward, they plan to refine functions that align with the N2SF security guidelines and push ahead with enhancements for commercialization of the product. They also plan to jointly pursue proposals, sales, marketing, and proof of concept (PoC) efforts for new customers such as public institutions.

Lee Ji-won, CEO of Connectionary, said the value of AI-based data classification goes beyond automatically assigning document security levels. He explained that AI-based data classification connects actual information with applicable standards and serves to present grounds for judgment, and said the company is determined to implement a consistent data classification system for N2SF response and a traceable data classification system for N2SF response.

Song Sang-yeop, CEO of Hancomwith, said the shift to N2SF is expanding the importance of intelligent data security that accurately understands and protects document context. He said the company intends to combine the two companies' expertise to provide a solution that meets security regulations and enables data to be managed safely.

Source: TECHWORLD · Kim Seung-gi
Original: https://www.epnc.co.kr/news/articleView.html?idxno=407339

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Source: TECHWORLD

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