Trust, but verify.
CraftedTrust helps teams inventory AI systems, organize vendor evidence, and publish proof that holds up in review. MCP Trust lets buyers compare score, scan depth, and research before connecting a server. Runtime controls and research and CVE discovery extend the same evidence model when review needs to go deeper.
Platform surfaces
AI Governance
Inventory AI systems, organize vendor evidence, and publish proof that leadership, security, and procurement can actually use.
Start Evidence SprintMCP Trust
Use the public registry, scanning, certification, and buyer proof workflow for MCP servers and the publishers behind them.
Open MCP TrustRuntime Gateway
Add runtime controls, policy checks, and live evidence when a public score and review packet are not enough for approval.
Open Runtime GatewayTouchstone
Track research, advisories, and CVE discovery that explain why a trust signal changed and what buyers should review next.
Open Touchstone ResearchOne evidence model
Track which assistants, agents, vendors, and MCP connections exist before governance turns into guesswork.
Combine vendor diligence, public trust signals, and policy context before a system is approved.
Publish buyer-readable proof, certification status, and ongoing monitoring where it matters.
Protocol-aware agent assurance is getting more technical.
The Apr 15 AIUC-1 research update put MCP, A2A, verified identities, logged tool actions, and third-party monitoring closer to the center of buyer review. See what that means in plain English.
MCP Trust activity
Open RegistryMCP publishers start with a free scan
Public MCP trust signals are one part of the platform.
Use MCP Trust when a buyer needs registry evidence, certification status, and research context before approving an MCP server. Use AI Governance when the decision is broader than a single public MCP connection.
AI Inventory
Map systems, owners, vendors, data access, and approval state in the same evidence model used everywhere else.
Open AI InventoryVendor Diligence
Use a cleaner review path for external AI vendors, including MCP providers and higher-risk integrations.
Open Vendor Diligence