Evidence that keeps AI governance grounded.
CraftedTrust helps teams inventory AI systems, evaluate vendors, publish trust material, and add stronger runtime evidence where it is actually needed.
What the platform is for
AI governance breaks down when nobody can answer basic questions: what systems exist, who owns them, which vendors are involved, what evidence supports approval, and what changed after rollout. CraftedTrust keeps those questions in one evidence model.
MCP Trust fits inside that model as the public trust line for MCP servers. Runtime Gateway is the optional runtime layer when point-in-time review is not enough.
AI Inventory
Track systems, owners, vendors, approval state, and data access before the sprawl becomes unmanageable.
Vendor Diligence
Collect public proof, review notes, research, and open issues in a format buyers can actually use.
MCP Trust
Registry search, scanning, certification, and buyer proof for MCP servers and publishers.
Runtime Gateway
Telemetry, policy checks, and live evidence for teams that need stronger controls after approval.
Start with inventory and diligence
- Inventory the systems and vendors already in use.
- Sort by owner, risk, and approval status.
- Collect public proof and open questions for the systems that matter.
Add product lines only when they fit
- Use MCP Trust when the decision involves a public MCP integration.
- Use Runtime Gateway when live telemetry or policy controls are justified.
- Use Touchstone when teams need deeper policy context or mappings.