What vibe hunting gets right about AI threat hunting, and where it breaks down

This interview explores 'vibe hunting,' an AI-centric method that inverts traditional hypothesis-driven threat hunting by letting models surface anomalous patterns from datasets; it emphasizes the need for analyst explainability, quality enrichment via semantic knowledge graphs, risks of over-reliance on AI, and how AI can accelerate—but not replace—the development of analyst judgment.