Resources
Start with the doctrine. Understand the protocol. Then implement with ZTI Core. This page gives you every reference point along that path.
Getting started
Understand the doctrine
Before protocol or platform, understand the belief system. Three principles. Ten minutes. The foundation for everything else.
Explore the protocol
The open protocol for governed AI action. Five steps. Defined schemas. Transport-agnostic. Read the spec and understand how verification actually works.
Implement with ZTI Core
ZTI Core is the operational control plane for ZTAP. If your organization needs to govern AI at scale — policy engine, agent registry, receipts, audit — express your interest and we will notify you at launch.
All resources
GitHub · Open source
ZTI Doctrine
The principles and beliefs that guide responsible AI action. Forkable. Open.
GitHub · Open protocol
ZTAP Protocol
Envelope schema, receipt format, conformance rules. The full protocol specification.
ZTI Core · Launch notification
Express Interest
Request to be notified when the commercial control plane becomes available.
Technical whitepaper
Coming soonGoverned AI Execution
Deep technical dive into the ZTI governance model. Architecture, threat model, conformance requirements.
Platform docs
Coming soonZTI Core Documentation
Full platform documentation for enterprise teams. API reference, integration guides, policy authoring.
Conformance
Coming soonZTAP Conformance Guide
How to verify that your implementation conforms to the ZTAP specification. Test suite and checklist.
Philosophy
AI agents are shipping to production. They are writing code, deploying services, accessing systems, sending messages, and making decisions that were once human-only territory. The speed is real. The capability is real.
What is not yet real, for most organizations, is the governance infrastructure to match. There is no standard way to record what an AI agent did. No standard way to say it was authorized. No standard way to prove it to an auditor.
ZTI, ZTAP, and ZTI Core are the answer to that gap — built in the open, designed for the enterprise, and grounded in a simple principle: don't trust AI. Verify it.