Core Viewpoint - The incident involving Kuaishou highlights the vulnerabilities in content moderation and the growing threat of black and gray market activities in the internet industry [1][2]. Group 1: Incident Overview - On the night of the 22nd, Kuaishou experienced a surge of inappropriate content in multiple live streams, leading to widespread user concern and panic [1]. - Kuaishou attributed the incident to organized attacks from black and gray market groups, which demonstrated advanced technical capabilities to bypass platform defenses [1]. - The event raised questions about Kuaishou's content moderation effectiveness, especially following their recent announcement of AI-driven content governance [1]. Group 2: Platform Responsibilities - As an operator of the online space, Kuaishou must take primary responsibility for content safety, revealing shortcomings in their preemptive defenses and emergency response mechanisms [2]. - The platform needs to enhance its technical capabilities and develop a comprehensive defense network to address evolving threats from black and gray market activities [2]. Group 3: Industry-Wide Implications - The incident serves as a wake-up call for the entire internet industry, emphasizing the need for collaborative efforts among platforms, regulatory bodies, and the public to combat black and gray market activities [3][4]. - The complexity of black and gray market operations necessitates improved inter-departmental cooperation and information sharing to effectively disrupt these criminal networks [4]. - The industry must move away from isolated approaches and establish collaborative risk management mechanisms to enhance overall resilience against attacks [4]. Group 4: Legal and Regulatory Framework - Recent laws and regulations, such as the Cybersecurity Law and the Governance of Online Information Content, have been implemented to combat online chaos, but the intricate nature of black and gray markets poses significant challenges [4]. - Strengthening legal frameworks and increasing penalties for black and gray market activities are essential to deter criminal behavior and protect users [4]. Group 5: Call to Action - The incident underscores the need for a collective effort to safeguard the online ecosystem, with the public encouraged to report violations and platforms urged to reflect on their responsibilities [5]. - Continuous collaboration among all stakeholders is crucial to diminish the operational space of black and gray markets and ensure a safe online environment [5].

Core Viewpoint - The article discusses the evolution of black and gray market operations due to AI advancements, highlighting the challenges in internet security and risk management as AI becomes a significant player in these illicit activities [1]. Group 1: Black and Gray Market Operations - AI is reshaping the way black and gray markets operate, with predictions that over 50% of information encountered daily will come from AI in the next 5-10 years [1]. - The cost of black market equipment has significantly decreased, with devices like mechanical arms costing around 1,000 yuan and smartphones priced between 300 to 400 yuan [1]. - The underground economy primarily profits from two types of activities: fraud and rebate cheating, with fraudsters needing extensive social outreach to identify targets [1]. Group 2: Resources Supporting Black and Gray Markets - The foundation of these operations relies on three key resources: accounts, devices, and networks [2]. - Accounts are primarily obtained through "cat pools" and "card pools," with a single "cat pool" capable of connecting approximately 512 cards for various illicit activities [2]. - The emergence of cloud phones has transformed the landscape, allowing operators to rent devices at low costs instead of purchasing physical hardware [2]. Group 3: AI's Role in Fraud and Risk Management - Generative AI is being actively utilized by black and gray market operators to enhance their strategies, such as automating customer service interactions to exploit promotional offers [3]. - The concept of "prompt attack" has emerged, where simple keyword prompts can be used to extract benefits from e-commerce platforms [3]. - Companies are countering these threats by employing AI for deep behavioral analysis and creating "AI blue teams" to simulate attacks and improve defenses [3][4]. Group 4: Evolving Risk Management Processes - Traditional content review processes involving both machine and human audits are becoming inadequate due to rising costs and the volume of harmful content [3]. - The risk management workflow is transitioning to a model that incorporates AI machine audits, large model reviews, and expert decision-making to enhance risk assessment capabilities [4].