Enterprises want AI agents they can trust. That means auditability: knowing what the agent did, when it did it, and whether the output was produced correctly. But auditability through full transparency creates its own problem: exposing proprietary model details, sensitive inputs, and operational data that organizations can't and shouldn't share. This is where most marketplace trust models fall short. Review-based approval doesn't solve it. Sandboxing doesn't solve it. You either get verification with unwanted exposure or opacity with a committee's stamp of approval. Our Co-founder @robviglione wrote about why the agentic economy needs a different trust primitive than the ones the industry is currently building toward. 👇(Horizen)