FSS to build AI-powered cyber threat detection system

Résumé détaillé

South Korea’s Financial Supervisory Service (FSS) is moving to establish a network security threat detection system amid growing cyber risks, including a recent artificial…

South Korea’s Financial Supervisory Service (FSS) is moving to establish a network security threat detection system amid growing cyber risks, including a recent artificial intelligence (AI)-driven hacking attack targeting the Financial Security Institute (FSI), the country’s financial cybersecurity agency.

The initiative aims to enable the early detection of cyber threats, including those involving AI.

According to financial authorities on Thursday, the FSS recently issued a request for proposals for a project to introduce a network security threat detection and response system.

The financial watchdog plans to invest 330 million won ($247,237) in the project and complete the system by the first half of next year.

The system will collect and analyze network traffic in real time to quickly detect cyber threats. It will integrate analyses of anomalous network activity and indicators of compromise across internet-facing and DMZ networks.

A DMZ is a buffer zone between an external internet network and an organization’s internal network. It serves as a protective barrier against direct external attacks on the internal network.

The FSS plans to collect traffic data from each network, adopting appropriate methods to minimize packet loss. Packets are units of data transmitted over a network, and losing them can compromise the integrity of the original data.

Based on the collected traffic, the system will detect threats such as indicators of compromise and abnormal protocol, session, and file activity. It will also identify and analyze unusual internal communications and activities suspected of involving information leaks.

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