Show HN: Warden – authorization gateway for agentic RAG (github.com)

A new tool named Warden has been announced as an authorization gateway specifically designed for agentic Retrieval-Augmented Generation (RAG) systems. Unlike existing permission models that simply answer whether a user can access a document, Warden evaluates what an agent should be permitted to retrieve and cite in real-time. This innovative approach maintains security through a fail-closed boundary that includes dynamic revalidation of context and a tamper-evident audit trail, significantly enhancing data access integrity. Warden utilizes a novel technique that flattens the authorization graph into compact capability-label sets, optimizing performance while ensuring that comprehensive checks are conducted right before any data is passed to the model. By implementing multiple gates—an optimization layer, a security boundary check, and session revalidation—Warden effectively prevents data leaks due to stale permissions while minimizing the risk of denial of access in selective document corpora. This tool promises a significant leap in secure agent-driven AI applications, facilitating complex and permissive data access management necessary for sophisticated AI interactions.