The text discusses the importance of non-human identity management in the context of Generative AI, emphasizing the risks associated with NHI, possible attack surfaces, and proper governance measures needed to ensure privacy and data integrity in AI-driven applications implemented under the RAG architectural model. It explores the intersection of NHI and RAG architectures, highlighting potential risks related to various access methods used in cloud environments like Azure, the importance of least privilege, adherence to best practices, and the risks of data leakage, data privacy, and data poisoning. The text underlines the need for robust identity and access management practices to protect data, prevent unauthorized access, and manage the lifecycle of non-human identities effectively

 Securing Generative AI with Non-Human Identity Management and Governance