The Human Root of Trust is a framework for cryptographic accountability in autonomous agent systems. Not a product. Not a standard. A principle — and the architecture to make it real.
Every digital system built since the beginning of the commercial internet rests on a single implicit assumption: that a human is present on the other end. Bank accounts, contracts, API keys — all designed around the concept of human singularity. One account. One person. One accountable entity.
That assumption has already broken. AI agents can now browse, transact, communicate, and coordinate — autonomously, at scale, indistinguishably from humans. They are passing identity checks designed for people. Executing financial transactions. Signing contracts. Managing infrastructure. With no human visibly in the loop.
The problem is not that AI agents exist. The problem is that nobody knows which human is accountable for what they do.
Regulators will ask: who is responsible for what this agent did? Counterparties will ask: is there a real human behind this transaction? Auditors will ask: show me the chain from action to authorization to human principal. The companies that can answer those questions will operate. The companies that cannot will not.