Fasoo AI Launches Updated Solution Specialized for N2SF Grade Classification

Fasoo AI has launched an updated version of its data identification and classification solution, 'Fasoo Data Radar (FDR),' and is now supporting public institutions in transitioning to the new National Network Security Framework (N2SF).

According to Fasoo AI on May 20, N2SF is a new security framework being promoted to enable the safe use of new technologies such as artificial intelligence (AI) and cloud by replacing the traditional network separation policy in the public sector. The core of N2SF is applying differentiated security measures by categorizing data based on its level of importance and sensitivity into the following grades: C (Classified), S (Sensitive), and O (Open). Therefore, data identification and classification are essential requirements. Fasoo AI has participated in numerous N2SF pilot projects, including the 'Pan-government Large-scale AI Common Infrastructure National Network Security Framework Pilot Project,' and has proposed and validated data identification and classification methods necessary for N2SF implementation.

FDR is a solution that determines the data holdings of all repositories and automatically classifies them. It is widely used for privacy management compliance, as it provides various post-processing functions such as real-time detection of sensitive information, encryption, classification, isolation, as well as revocation of access rights and data destruction after a set period. Based on the N2SF grade classification standards, FDR enables organizations to understand their overall data status and apply post-processing measures such as encryption or labeling according to policies for each grade.

Fasoo AI continues to strengthen FDR functions for N2SF through this update. The new FDR extracts text from general image files or images embedded within document files using optical character recognition (OCR) to inspect for the presence of sensitive information. This enables the secure protection of sensitive information that was previously undetectable by conventional text-based inspection, such as scanned or captured images. In addition, when working with documents in Hangul, MS Office, or PDF formats, the system continuously displays classification labels—classified, sensitive, or open—on the screen to enhance user awareness. A new function that leverages AI to understand context and mask sensitive information has also been added.

This content was produced with the assistance of AI translation services.