[Featured Stock] Igloo Issues Hacking Warning Over ChatGPT Abuse... AI-Based 'Unbreakable Shield'

[Asia Economy Reporter Hyungsoo Park] Igloo is gaining strength. Amid the craze for OpenAI's generative artificial intelligence (AI) 'ChatGPT,' concerns are growing over bypass attacks and adversarial attacks exploiting AI services. As attacks using AI increase, the need to establish an active defense system capable of detecting AI-based attack detection technologies and security threats exploiting AI is also expected to grow.

At 10:15 a.m. on the 10th, Igloo was trading at 8,230 won, up 11.97% from the previous day.

According to the IT industry, there are concerns that attackers such as hackers using ChatGPT could automatically generate millions of malware without coding each one individually. Various forms of sophisticated attacks based on AI are being carried out. Attempts to quickly and diversely produce malicious code by creating or modifying their own malware using AI, making defense difficult, may continue to occur.

Canadian cybersecurity company BlackBerry announced on the 2nd that 51% of IT experts predicted that a successful cyberattack using ChatGPT would occur within a year. According to BlackBerry, 74% of 1,500 IT experts in North America, the UK, and other regions responded that ChatGPT could become a threatening presence in terms of cybersecurity.

Igloo is continuously researching defense methods against bypass attacks and adversarial attacks exploiting legitimate AI services. Igloo began preparing its business in 2016 when customers' AI security needs started to emerge in earnest. In January 2018, it established the 'Daegu AI-based Intelligent Security Monitoring System (D-Security),' which can be called an AI security monitoring system. In 2019, it launched the AI security monitoring solution 'Spider TM AI Edition' and supplied it to major public institutions and companies in Korea.

Igloo is creating AI-based detection models that can overcome the limitations of existing security equipment based on data. Through close collaboration among experts in security monitoring, incident response, and machine learning, it is focusing on implementing AI models that can produce practical effects in security environments.

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