CraftedTrustSupport for broader AI governance programs.
Use platform support when self-serve MCP Trust is not enough and the work spans multiple systems, private environments, runtime pilots, or custom commercial terms.
This is packaging around the same evidence model.
Stand up visibility across multiple systems
Use guided scope when the first problem is knowing which AI systems, vendors, and MCP connections actually exist.
Package review across more than one vendor
Use support when diligence spans multiple suppliers, repeated review cycles, or buyer-facing evidence packaging.
Handle multi-server or private MCP work
Use custom scope for staged environments, private endpoints, multiple servers, or coordinated buyer review.
Add runtime controls only where they matter
Use guided rollout when a higher-risk deployment needs telemetry, policy checks, or stronger evidence from live behavior.
Bring policy context into the work
Touchstone research and control mappings help explain why a finding matters and what it should connect to inside a larger governance program.
Use custom terms when self-serve is not the fit
This path exists for invoicing, purchase-order workflows, written commercial terms, or a combined support arrangement across several pieces of the platform.
Questions enterprise buyers now ask
This is the pressure that turns a simple scan into a broader support need.
- Which MCP or A2A endpoints are approved?
- How are they authenticated?
- Are tool calls validated and logged?
- How is third-party access monitored?
- Can you export evidence quickly?
Platform support helps when those answers have to be assembled across multiple systems, private environments, runtime pilots, or commercial boundaries. It turns scattered evidence into a buyer-ready packet.