Let any AI agent take governed actions in Snowflake

Upware encapsulates each Snowflake interaction as a governed AI skill with a fixed, pre-approved query scope. The agent never writes freeform SQL against your warehouse. Every query is deterministic and policy-bounded, so row-level security and column masking inherited from your Snowflake roles apply exactly as configured. RBAC inside Upware adds a second layer, ensuring only agents and users with the right role can invoke a given skill at all.

Yes. Write-back is one of the higher-risk actions in any data warehouse, and Upware handles it by encapsulating the write as a schema-aware skill that targets only approved tables with a validated payload shape. The agent cannot deviate from the approved destination or structure. Every write is logged in the Upware audit trail, so you have a full record of what was written, by which agent, and under which policy.

Snowflake's native controls are excellent, but they do not govern how an AI agent chooses what to query or how often. An agent calling Snowflake directly through a generic integration can still issue expensive, broad queries that your Snowflake roles technically permit, accumulate costs you did not anticipate, or chain multiple queries together in ways your security team never reviewed. Upware sits in front of that interaction as an action infrastructure layer, turning the permissible-but-dangerous space into a set of explicit, auditable actions the agent can actually execute.