Attention Paper: How Generative AI Reshapes Digital Shadow Industry?
This provides a technical analysis of emerging threats in digital risk management for cybersecurity professionals, though it appears to be an incremental analysis rather than proposing new solutions.
This paper analyzes how generative AI technologies like ChatGPT and Stable Diffusion empower black and shadow internet industries to create personalized fraudulent content, posing new challenges for digital risk management systems that must now control risks at the data generation source.
The rapid development of digital economy has led to the emergence of various black and shadow internet industries, which pose potential risks that can be identified and managed through digital risk management (DRM) that uses different techniques such as machine learning and deep learning. The evolution of DRM architecture has been driven by changes in data forms. However, the development of AI-generated content (AIGC) technology, such as ChatGPT and Stable Diffusion, has given black and shadow industries powerful tools to personalize data and generate realistic images and conversations for fraudulent activities. This poses a challenge for DRM systems to control risks from the source of data generation and to respond quickly to the fast-changing risk environment. This paper aims to provide a technical analysis of the challenges and opportunities of AIGC from upstream, midstream, and downstream paths of black/shadow industries and suggest future directions for improving existing risk control systems. The paper will explore the new black and shadow techniques triggered by generative AI technology and provide insights for building the next-generation DRM system.