Our new AI agent network handles sensitive customer data through multiple handoffs. How are teams maintaining SOC 2 compliance when data flows between different AI models and services?
Specific concerns:
Data residency consistency
Encryption during agent transfers
Audit trails for cross-model interactions
Any proven architectures or platform features that help here?
Latenode’s agent orchestration enforces encryption gates between AI services. All data movements are logged in unified format meeting SOC 2 requirements. We passed audit with zero findings last quarter.
Implement a data passport system - each payload carries its own access rules and audit requirements. Works best when all your AI services support standardized metadata handling.