CSA：2024安全的人工智能转换——我们现在和未来可以做什么（英）

Investment Rating - The report does not explicitly provide an investment rating for the industry Core Insights - The report emphasizes the transformative impact of AI across various sectors, highlighting its versatility and the unique operational characteristics of generative AI [2][3] - It discusses the risks associated with generative AI applications, including sensitive information disclosure and the potential for malicious manipulation [18][20] - The report outlines the lifecycle of generative AI applications, focusing on security measures needed to protect data and applications from development to runtime [33][37] Summary by Sections Generative AI Characteristics - Generative AI operates in a unique manner, characterized by high connectivity and autonomy, utilizing natural language and being susceptible to manipulation [3] - The report identifies generative AI applications as black boxes that can be unpredictable and probabilistic in nature [3] User Interaction and Risks - Users engage with AI in various ways, including consumer and enterprise applications, as well as custom-built solutions [4] - The report highlights extended risks associated with user interactions, such as shadow IT and harmful third-party applications [18] Application Lifecycle and Security - The lifecycle of generative AI applications includes risks like data leaks, insecure plugin designs, and insider threats [20] - Recommendations are provided for securing AI applications throughout their lifecycle, ensuring compliance with regulatory and code-of-conduct policies [33][37] Governance and Compliance - The report stresses the importance of governing AI usage and deployment to adhere to compliance requirements, protecting sensitive data and applications [33][37] - It calls for elevated security controls to facilitate secure AI transformation [37]