人工智能安防产品制造商 Verkada 于周三表示，在由 CapitalG 领投的最新一轮融资中，公司估值达到 58 亿美元。这一估值较今年 2 月上一轮融资时高出逾 10 亿美元。 该公司为全球 171 个国家的机构提供服务，产品包括云管理视频安防摄像头、门禁控制系统、环境传感 器、警报器、办公工具及对讲机。 当前，人工智能安防产品的支出持续增长，此次新融资轮次凸显出投资者对人工智能安防公司的浓厚兴 趣。 Verkada 尚未披露此次融资的具体金额。 当前，人工智能安防产品的支出持续增长，此次新融资轮次凸显出投资者对人工智能安防公司的浓厚兴 趣。 Verkada 尚未披露此次融资的具体金额。 该公司表示，此次筹集的资金将用于提升其人工智能技术能力，同时可能为员工提供流动性支持（通常 指员工持股变现等）。 今年 2 月，Verkada 在 E 轮融资中获得的估值为 45 亿美元。 责任编辑：郭明煜 该公司表示，此次筹集的资金将用于提升其人工智能技术能力，同时可能为员工提供流动性支持（通常 指员工持股变现等）。 今年 2 月，Verkada 在 E 轮融资中获得的估值为 45 亿美元。 责任编辑：郭明煜 人工智 ...

Core Insights - AI security has become a critical foundation for high-quality industrial development as the "AI+" initiative accelerates [1][2] - The forum emphasized the need for a collaborative ecosystem to establish standards, assessments, and protective frameworks for AI security [1][4] Group 1: AI Security Governance - The forum gathered various stakeholders to discuss cutting-edge issues in AI security governance and released multiple research outcomes and industry standards [1][2] - Recommendations were made to strengthen the technological foundation, deepen application integration, and improve governance ecosystems for AI security [1][2] Group 2: Policy and Industry Development - The "14th Five-Year Plan" emphasizes enhancing national security capabilities in emerging fields like AI, guiding future work in the information and communication sector [2] - The AI security industry in China is entering a phase of high-quality development, with continuous optimization of the policy environment and ongoing technological innovations [2][3] Group 3: AI Safety Challenges and Solutions - The rapid evolution of large models and intelligent agents has led to new risks such as identity fraud and decision-making failures, necessitating comprehensive safety measures [3][4] - A dual authorization mechanism for user and application interactions was proposed to mitigate privacy and data leakage risks in cloud-based intelligent agents [3][4] Group 4: Industry Collaboration and Standards - The forum initiated the development of the "AI Native Cloud Security Capability Maturity Requirements" standard to provide a quantifiable guide for building AI-native cloud security [5] - Experts from various companies discussed the challenges and solutions in AI security, emphasizing the need for an open and collaborative industry ecosystem [5]