Core Viewpoint - The cybersecurity industry is undergoing unprecedented changes and challenges driven by the wave of AI technology, with a focus on the need for a balanced approach to digital transformation and security [1] Group 1: Digital Transformation and Security Challenges - Companies are facing difficulties in fully transitioning to digitalization while managing various security threats that arise during this process [1] - The integration of AI into business operations raises concerns about data security and the potential risks associated with such a transition [1] Group 2: Cybersecurity Integration Concept - Fortinet emphasizes the importance of integrating security from the initial stages of network construction, providing a comprehensive security architecture that addresses diverse security threats [2] - The company's "Security Fabric" platform, supported by over 50% market share in firewall deployments, enables cross-device and cross-application global analysis, which is essential for AI model training [2] Group 3: AI Capabilities and Limitations - FortiAI can diagnose and generate solutions for server anomalies within 10 minutes, significantly reducing the time required for traditional expert collaboration [3] - Current AI capabilities are inherent in devices and do not require separate payment for AI features, aiming to enhance user experience and security [3] Group 4: Regulatory and Compatibility Considerations - The development of AI technology will likely be accompanied by increased regulatory oversight, which is seen as beneficial for the healthy growth of AI in cybersecurity [4] - Fortinet ensures compatibility with domestic systems through international communication protocols, adapting to local needs within compliance frameworks [4]