CTIFoundry: An Agent-Native Corpus Scaffold for Cyber Threat Intelligence
CTIFoundry solves a problem where LLM agents struggle with complex Cyber Threat Intelligence (CTI) reports because they are presented as opaque text chunks. It creates an agent-native scaffold by materializing the corpus's underlying structure—an ontology graph, report layer, and hybrid search—at build time. This allows agents to perform accurate, multi-step investigations by using structured tools instead of relying solely on similarity search.