Navigating AI Data Security Risks

This chapter investigates data security concerns related to AI usage in organizations, focusing on the risks of data leakage and the ethical implications of AI's knowledge-sharing abilities. It discusses the unpredictable nature of outputs from large language models (LLMs) and the challenges they pose to traditional software governance and auditing processes. By emphasizing the complexities of AI interactions, the chapter underscores the need for a deeper understanding of security and privacy when engaging with these technologies.