Chinese companies combat AI hackers using robotic protectors
The Chinese saying, "Apply the same tactics to the person who used them on you," resonates in today's context where artificial intelligence plays a significant role in cyberattacks. In response, Chinese enterprises are turning to generative AI technologies to bolster their defenses against these emerging threats.
TroibNews 
Reflecting the saying, "Apply the same tactics to the person who used them on you," Chinese companies are turning to generative AI as a weapon and shield in battling cyberthreats heightened by advancements in artificial intelligence.
In March, Qi-Anxin Group, a prominent player in China's cybersecurity sector, unveiled its robust AI model, QAX-GPT, aimed at enhancing product development, threat detection, vulnerability identification, and investigating internet crimes.
Qi Xiangdong, chairman of Qi-Anxin, highlighted the model's capabilities, noting it operates with the proficiency of a mid-level security specialist and outperforms traditional manual processes by over 60 times in alarm response and decision-making accuracy.
The emergence of generative AI platforms, notably OpenAI's ChatGPT, has sparked a global surge in the development of similar technologies across various industries. Concurrently, these advancements are simplifying the process for cybercriminals with limited technical skills, allowing them to develop sophisticated malware and engage in illicit activities online with more ease.
However, these innovations in AI also offer potent solutions to bolster cybersecurity defenses. The primary challenge in this realm, as outlined by a Qi-Anxin survey, is an overwhelming number of security alerts that often go unaddressed due to a shortage of skilled personnel and adequate resources.
"To avoid affecting operations, 99 percent of alarms suggesting cybersecurity threats require expert analysis. However, the number of experts in any company is limited compared to the tremendous number of alarm instances. The comprehensive analysis system empowered by AI will therefore greatly boost security defense," explained Qi.
Zhang Zhuo, vice president of Qi-Anxin, further emphasized the speed and breadth of learning that QAX-GPT offers, drawing on a vast database of cybersecurity-related documents to swiftly build its expertise.
"Challenges facing cybersecurity are scarcity of experts, human alarm fatigue and efficiency bottlenecks. The large-scale model enables us to transform from reproducing goods to reproducing expert experience," stated Zhang.
The urgency to strengthen cybersecurity measures is underscored by the severe impact of cyberattacks on China. According to the National Computer Network Emergency Response Technical Team/Coordination Center of China, the country faced over 42 million malware attacks in 2020 alone.
James del Carmen for TROIB News
In March, Qi-Anxin Group, a prominent player in China's cybersecurity sector, unveiled its robust AI model, QAX-GPT, aimed at enhancing product development, threat detection, vulnerability identification, and investigating internet crimes.
Qi Xiangdong, chairman of Qi-Anxin, highlighted the model's capabilities, noting it operates with the proficiency of a mid-level security specialist and outperforms traditional manual processes by over 60 times in alarm response and decision-making accuracy.
The emergence of generative AI platforms, notably OpenAI's ChatGPT, has sparked a global surge in the development of similar technologies across various industries. Concurrently, these advancements are simplifying the process for cybercriminals with limited technical skills, allowing them to develop sophisticated malware and engage in illicit activities online with more ease.
However, these innovations in AI also offer potent solutions to bolster cybersecurity defenses. The primary challenge in this realm, as outlined by a Qi-Anxin survey, is an overwhelming number of security alerts that often go unaddressed due to a shortage of skilled personnel and adequate resources.
"To avoid affecting operations, 99 percent of alarms suggesting cybersecurity threats require expert analysis. However, the number of experts in any company is limited compared to the tremendous number of alarm instances. The comprehensive analysis system empowered by AI will therefore greatly boost security defense," explained Qi.
Zhang Zhuo, vice president of Qi-Anxin, further emphasized the speed and breadth of learning that QAX-GPT offers, drawing on a vast database of cybersecurity-related documents to swiftly build its expertise.
"Challenges facing cybersecurity are scarcity of experts, human alarm fatigue and efficiency bottlenecks. The large-scale model enables us to transform from reproducing goods to reproducing expert experience," stated Zhang.
The urgency to strengthen cybersecurity measures is underscored by the severe impact of cyberattacks on China. According to the National Computer Network Emergency Response Technical Team/Coordination Center of China, the country faced over 42 million malware attacks in 2020 alone.
James del Carmen for TROIB News
