奇安信韩永刚：大模型开发应用带来了新的安全隐患，AI安全还处于起步阶段

Core Insights - The security of AI differs significantly from traditional security, with current protective measures primarily focused on AI development testing environments, AI-related data, and applications, indicating that the field is still in its early stages [1] - Content security, cognitive adversarial challenges, and future intelligent agent permission control, along with application and data protection, remain difficult areas, representing future growth potential for the cybersecurity industry [1] - AI is expected to create incremental demand and supply in cybersecurity, potentially transforming small-scale high-level capabilities into large-scale offerings, thus shifting the industry from labor-intensive to knowledge-intensive, which may enhance efficiency [1] - The development and application of large models introduce new security risks due to their black-box nature, connections to various businesses and personnel, and the application of multidimensional data, compounded by a lack of effective security assessments, protections, and monitoring during rapid deployment [1] - AI security encompasses not only traditional security issues but also new challenges such as content security [1]