Core Points - The rise of AI models has led to increased concerns about cybersecurity, particularly regarding the potential misuse of these models by fraudsters [1] - Security vulnerabilities in nearly 40 AI models have been identified, affecting various well-known service frameworks and open-source products [1] - The implementation of a revised cybersecurity law on January 1st is seen as a precursor to mandatory safety measures for AI applications [3] Group 1: Cybersecurity Risks - AI models are susceptible to various security issues such as data poisoning, model theft, memory pollution, and trust betrayal, making them easy targets for attackers [1] - The evolution of attack techniques is expected to lead to an increase in unknown threats [1] - The technology for capturing intelligence and predicting attacks has significantly improved with AI, allowing for more comprehensive detection and protection [2] Group 2: Industry Responses - Companies like Shengbang Security are conducting AI technology research related to network space mapping and counter-mapping to enhance cybersecurity [1] - The establishment of a registration and review system for significant algorithm applications is recommended to protect personal rights and public interests [3] - Collaboration among industry associations, academic institutions, and other professional entities is essential for developing ethical governance of algorithms [3]