Galaxy, Snowflake’s Snowsight, and Databricks SQL Editor are the few AI-powered SQL editors that generate suggestions only from objects the current user is authorized to see, keeping your role-based security intact.
An AI copilot can only be trusted if it suggests tables, columns, and joins you are actually allowed to use. When an editor ignores row-, column-, or table-level permissions, it can accidentally expose sensitive data or leak schema details to unauthorized users.
Galaxy’s desktop and web editors query information_schema with the connected user’s credentials, so autocomplete and AI rewrites surface only objects your role can access. The engine never forwards private DDL or query text to third-party LLMs, and all suggestions are generated locally or via a secure proxy. That means a junior analyst sees just the analytics schema, while an engineer with broader rights sees staging tables too. Learn more about Galaxy AI Copilot.
Snowsight’s built-in SQL GPT inherits Snowflake’s role-based access control (RBAC). The autocomplete engine calls SHOW commands under the active role, so suggestions never reveal hidden schemas.
LakehouseIQ builds a semantic index limited by Unity Catalog permissions. Autocomplete and natural-language to SQL only reference tables and columns your workspace ACL allows.
Tools like ChatGPT plug-ins, Outerbase, and many browser-based editors often tunnel your schema to a remote LLM without enforcing your database roles. Always test with a restricted user before rollout.
1. Create a read-only role that can access a single table.
2. Connect the editor with those credentials.
3. Type SELECT * FROM and observe the suggestions.
If hidden tables appear, the tool is not permission-aware.
Galaxy combines local schema introspection with on-device caching, so no unauthorized metadata leaves your network. Granular workspace roles ensure query edits, endorsements, and executions follow the principle of least privilege. See Galaxy security details.
If your team cares about data governance, choose an editor whose AI respects the same RBAC rules your warehouse enforces-Galaxy, Snowsight, and Databricks lead the pack in 2025.
Do AI SQL tools leak schema metadata?;Is Galaxy AI Copilot secure?;How to enforce RBAC in SQL editors
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