Trust & Governance
Complex AI projects need verifiable trust
Security and governance are not page-level promises. They are operating mechanisms formed by contracts, permissions, processes, evidence and responsibility. Specific requirements follow project agreements and applicable regulations.
Customer isolation
- Manage data and knowledge by customer, project, contract and authorized purpose.
- Different customer spaces and delivery assets are not connected by default.
- Customer data does not enter Muchen internal operating systems or shared knowledge models.
Permissions and human responsibility
- Assign access and tool permissions by least-necessary principle.
- Sensitive data, payments, contracts, personnel and customer commitments retain human approval.
- Exceptional actions have pause, takeover, rollback and escalation paths.
IP and public disclosure boundaries
- Customer names, logos, project data and results are not disclosed without authorization.
- Ownership of data, model outputs, rules and derivative assets follows contract terms.
- Internal experiments and demos are not presented as mature commercial products.
Evidence and audit
- Keep traceable records for key rules, versions, deliverables, acceptance and changes.
- Public numbers must have criteria, time range, source, owner and authorization scope.
- Project-specific certification, residency and compliance requirements are confirmed during initiation.