Generative AI is no longer a content tool. It's becoming an autonomous actor making decisions, calling APIs, and accessing sensitive systems on behalf of the humans who deployed it. How do security leaders secure what behaves unpredictably, scales without limit, and operates at machine speed?
This whitepaper applies the Idira Identity Security Blueprint to GenAI infrastructure, from LLM services and application layers to RAG databases, training datasets, and ingress points. Readers will learn how to prioritize identity security controls across end users, AI/ML engineers, and machine identities, and how to implement secure-by-design principles for AI agents at scale.
