Core Insights - The World Internet Conference in Wuzhen showcased the AI banking security system developed by the company to address security challenges in the AI era [1][2] - The nature of cyber attacks has evolved from human-to-human confrontations to AI-versus-AI confrontations, necessitating advanced security measures [2] AI Banking Security System - The AI banking security system consists of three core capabilities: 1. Default security governance technology, which acts like a "vaccine" for the system, allowing AI to learn from known cyber attacks and build a comprehensive threat knowledge base [2] 2. Trusted deep defense system, which requires multiple verifications for any unfamiliar actions, ensuring that even if an attacker breaches a single point, they cannot bypass subsequent defenses [2] 3. Intelligent threat countermeasure technology, which generates random variations in common security measures like slider captchas to thwart AI-based attacks [2] Internal Security Measures - The company has established a specialized "Purple Army" team that simulates attacks on its own systems using cutting-edge AI technology to identify and rectify potential vulnerabilities [3] - The AI banking security system has been operational for over three years, covering all core business areas and protecting over 68 million users with a proactive immunity accuracy rate exceeding 99.99% [3] Recognition and Future Goals - The AI banking security system received the second prize in the Financial Technology Development Award in 2024, marking it as the only ministry-level technology award in China's financial sector [3] - The company aims to continuously enhance its technological defenses to build a robust security barrier and hopes to share experiences with the industry to promote the construction of a digital financial security ecosystem [3]

Core Viewpoint - The article discusses the dual nature of AI technology, highlighting its positive advancements while also addressing the rise of black market activities that leverage AI for malicious purposes [2][3][4]. Group 1: AI and Black Market Activities - AI technology has significantly lowered the barriers for black market activities, enabling criminals to utilize advanced tools for scams and fraud [7][35]. - The article outlines specific methods used by black market actors, such as AI-generated deepfake videos for identity theft and account access [13][21]. - AI Agents are employed for automated attacks, allowing criminals to efficiently exploit multiple accounts and systems without manual effort [23][28]. Group 2: Security Measures and Responses - Financial institutions, particularly in the banking sector, are at the forefront of combating black market activities, necessitating stringent security measures [10][12]. - Security teams simulate attacks using advanced AI techniques to identify vulnerabilities in their systems, effectively preempting potential breaches [41][43]. - The use of generative AI to create dynamic security measures, such as real-time CAPTCHA generation, is highlighted as a strategy to counteract black market tactics [50][51]. Group 3: The Ongoing Battle - The article emphasizes the continuous and evolving nature of the battle between black market actors and security professionals, with both sides employing AI to outsmart each other [56]. - The ultimate goal of security teams is to raise the cost of malicious activities to a point where they become unfeasible for black market operators [57]. - The narrative concludes with a recognition of the unsung heroes in cybersecurity, who work tirelessly to protect users from the threats posed by AI-enhanced black market activities [60][68].