LG Uplus has deployed an AI‑powered Customer Damage Prevention Analysis System that automatically detects and blocks voice‑phishing attacks, protecting more than 30,000 subscribers. The technology monitors network traffic, identifies malicious app signatures, and instantly alerts authorities, preventing financial loss and enhancing user safety across the carrier’s extensive network. It also integrates a KakaoTalk warning service that notifies users of suspicious calls in real time.
How the AI‑Driven Damage Prevention System Works
The platform continuously scans inbound and outbound traffic on LG Uplus’s network for known malicious‑app patterns used by organized crime groups. When the AI detects a suspicious signature on a device, it generates an immediate alert that is forwarded to law‑enforcement agencies, enabling rapid intervention before any transaction occurs.
Real‑Time Traffic Monitoring and Alert Generation
From February through December, the system identified over 800 control servers that host phishing‑related applications. Each detection triggers an automated workflow: the AI logs the event, notifies the security operations center, and sends a secure report to police channels for swift action.
KakaoTalk Warning Service
LG Uplus leverages its popular KakaoTalk messaging platform to deliver instant warnings. When a potential phishing call is flagged, the service pushes a notification to the subscriber’s chat window, prompting them to verify the call and seek assistance if needed.
Impact and Scale of the Protection
- More than 33,000 users shielded from voice‑phishing attempts.
- Over 220 million malicious app connection attempts blocked.
- Approximately 540 million spam text messages filtered.
- Estimated financial loss averted: roughly 1.8 trillion won.
AI Risk Management Framework
LG Uplus has instituted a company‑wide AI risk‑management body that includes the CTO, the Information Security Center, and the legal department. The framework mandates clear labeling of generative‑AI services, pre‑emptive disclosure in user agreements, and continuous monitoring of AI‑driven processes from design through operation.
Expanding AI Safety to Physical Environments
Beyond digital security, LG Uplus is deploying AI‑based safety monitoring at a major logistics hub. The solution combines real‑time kinematic (RTK) positioning with AI‑driven CCTV analysis to track container‑handling equipment and personnel with centimeter‑level accuracy, instantly alerting operators to hazardous proximity situations.
Industry Implications and Future Outlook
The success of LG Uplus’s AI system demonstrates how telecom operators can transform network infrastructure into a proactive defense layer. By processing massive data streams in real time, identifying malicious patterns, and coordinating with law enforcement while preserving on‑device privacy, the carrier sets a benchmark for responsible AI use. Ongoing enhancements—including malicious URL detection and expanded threat‑intelligence feeds—aim to further reduce the attack surface for its 30 million‑plus subscriber base, positioning AI‑enabled protection as a standard feature of modern telecom services.
