LG Uplus is strengthening its response system to cybercrime such as voice phishing and smishing by using artificial intelligence (AI) technology. It plans to analyze data accumulated in its networks and services to detect anomalies and reduce user harm through cooperation with relevant agencies.
According to the industry on the 6th, LG Uplus is operating an AI-based "customer damage prevention analysis system." The system analyzes the communication patterns of malicious apps used for voice phishing or smishing crimes to identify users who may be at risk.
The system focuses on the characteristic that malicious apps that remotely control smartphones communicate with external servers. When an anomaly is confirmed, it sends a notification to the customer to prompt a response and blocks the spread of damage by stopping spam message distribution at the network level.
Last year, LG Uplus used the customer damage prevention analysis system to identify about 33,000 customers with records of accessing servers that install malicious apps and provided the related information to police. The company estimates that this measure prevented about 1.8 trillion won in economic losses.
LG Uplus is also using the AI currency app "ixi-O" for security response. ixi-O has real-time voice phishing detection and the ability to analyze whether a user accessed risky URLs. Based on this, it confirms signs of crime in advance and analyzes data needed to protect users.
LG Uplus plans to expand its voice phishing response system through public-private cooperation going forward. It is also pursuing ways to share suspected voice phishing audio and related data identified through ixi-O with relevant agencies. The company intends to apply AI-based analysis technology across telecommunications security to advance its user harm prevention system.