一道语音指令让从未接入互联网的机器人破防，于是它开始了攻击……

Group 1 - The core issue highlighted is the increasing vulnerability of security systems in the face of AI-driven attacks, with the average time to successfully execute an attack decreasing from 9 days in 2021 to just 25 minutes in 2023 [1] - The GEEKCON competition showcased a significant security flaw in a humanoid robot, allowing attackers to remotely control it through a voice command, which raises concerns about systemic risks in future robotic clusters [2] - There is a pressing need for security mechanisms to be integrated from the design phase, rather than relying on post-incident patches, as many companies currently focus on compliance rather than effective security measures [3] Group 2 - The current approach to security, characterized by fragmented defenses and reactive measures, is ineffective against AI-driven threats, as attackers can now simulate legitimate behavior to bypass security systems [4] - The introduction of AI in security operations has the potential to drastically improve efficiency, with AI systems capable of processing significantly more data compared to manual methods, thus enhancing risk monitoring [6] - New security architectures are emerging, such as those proposed by companies like Palo Alto Networks and Fortinet, which aim to create adaptive and self-evolving security systems [6] Group 3 - The concept of pricing security based on effectiveness rather than compliance is gaining traction, with calls for the promotion of cybersecurity insurance to alleviate user anxiety and assess the true capabilities of security vendors [7] - Recent initiatives by the Chinese government to promote cybersecurity insurance indicate a shift towards integrating financial services with cybersecurity, aiming to enhance corporate risk management capabilities [7][8] - The future of cybersecurity may depend on the establishment of verifiable and sustainable operational mechanisms, as insurance models could incentivize companies to improve their defensive capabilities [8]