It seems every company today is excited about AI. Whether they are rolling out GitHub Copilot to help teams write boilerplate code in seconds or creating internal chatbots to answer support tickets faster than ever, large language models (LLMs) have driven us into a new frontier of productivity very rapidly. Advancements like retrieval-augmented generation (RAG) have let teams plug LLMs into internal knowledge bases, making them context-aware and therefore much more helpful to the end user.

However, if you haven’t gotten your secrets under control, especially those tied to your growing fleet of non-human identities (NHIs), AI might speed up your security incident rate, not just your team’s output. Before you deploy a new LLM or connect Jira, Confluence, or your internal API docs to your internal chat-based agent, let’s talk about the real risk hiding in plain sight: secrets sprawl and the world of ungoverned non-human identities.