In a recent incident, LG Uplus encountered a technical error in its AI-based voice call application, ixi O. The flaw led to an unexpected exposure of private user data, raising concerns about data security protocols amidst global privacy scrutiny. The issue affected 36 users, whose data was inadvertently shared with 101 individuals who had recently downloaded or were using the app for the first time.
The problem stemmed from a misconfigured caching system designed to optimize the service. As a result, shared data included call records with fragments of phone numbers, call timestamps, and AI-generated conversation summaries. However, sensitive information like resident registration numbers, passport details, or financial data was not compromised, according to LG Uplus.
Upon identifying the problem, the company swiftly resolved it within 30 minutes. They clarified that affected users had their call data viewed by one to six unrelated individuals. All impacted customers were notified promptly. A LG Uplus spokesperson stated, “It was not the result of any external cyberattack. We sincerely apologize for the inconvenience and concern this may have caused, and we will fully cooperate with the authorities as they review the case.”
This glitch comes at a challenging time for LG Uplus, as it continues facing scrutiny from a cybersecurity task force. Earlier in the year, investigations were launched into a separate hacking incident involving the company.
The incident highlights critical questions about data security practices, especially at a time when the telecom industry faces increasing pressures to protect user information. As the demand for AI-driven applications grows, organizations must prioritize robust security measures to safeguard sensitive data and maintain consumer trust.
