GOVERNING DATA AND AI AGENTS IN SNOWFLAKE: A DATA ENGINEER'S FIELD NOTES

Summary from the TLDR Data newsletter

Governing AI agents in Snowflake starts with strong data controls: identify sensitive information, apply access and masking policies, and monitor usage. Agent-specific permissions, masking, and prompt injection checks add protection by limiting what agents can access, see, and change.