Building Secure Custom AI Models

This chapter covers the initial steps in developing a tailored AI model, focusing on identifying specific use cases and ensuring the security of datasets. It emphasizes the need for transparent documentation and proper evaluation of AI models while detailing strategies for convincing IT teams about data safety. Additionally, the discussion addresses the complexities of API integrations, highlighting the need for robust internal systems to protect sensitive information.