Governed AI for your Databricks data.
Databricks controls access and query execution. TribeBlend keeps AI and review on the analyst's desktop, with SQL and proof visible.
Review the architecture, sub-processors, and compliance status in Security & architecture.
Trust boundaries
Where each control lives
Three boundaries your security team can verify.
| Control | Where it happens | What remains authoritative |
|---|---|---|
| Query execution | Where:Databricks SQL | Authority:Runs under the analyst's Databricks identity and Unity Catalog permissions. |
| AI and review | Where:TribeBlend desktop | Authority:Local AI prepares the query; analysts review the result, Trust Packet, and SQL. |
| Working data | Where:Customer environment | Authority:Selected tables and results may be cached locally. Databricks remains the system of record. |
Governed Ask
How governed Ask works
Ground
The analyst chooses a ready Knowledge scope or selected table with approved business context.
Execute
TribeBlend validates read-only SQL, then Databricks runs it under the analyst's identity.
Prove
The answer is grounded in the result and returns with its Trust Packet and SQL visible.
Evaluation checklist
What security teams validate
- Databricks OAuth and workspace discovery
- Unity Catalog authorization for every query
- Knowledge scope context and approved definitions
- Read-only SQL validation before execution
- Result-backed answers with Trust Packet and visible SQL
- Explicit Data Editor write-back and conflict review
- Admin controls for seats, machines, and shared connections
Better together
What Databricks provides. What TribeBlend adds.
Databricks remains authoritative. TribeBlend adds a governed analyst workflow on top.
| Capability | Databricks provides | TribeBlend adds |
|---|---|---|
| Data and governance | Databricks:Delta Lake storage and Unity Catalog governance | TribeBlend:Desktop exploration and approved business context over governed data |
| Query execution | Databricks:SQL Warehouse compute for production queries | TribeBlend:Result-backed questions compiled to read-only Databricks SQL |
| Access | Databricks:Unity Catalog permissions controlling who can use what | TribeBlend:Databricks OAuth using the analyst's existing identity |
| Analyst workflow | Databricks:Notebooks and SQL tools for engineering workflows | TribeBlend:Excel-like analysis, governed Ask, and explicit write-back review |
Operational transparency
Evaluate TribeBlend with your security team
We will walk through identity, scope selection, result grounding, visible SQL, and desktop and cloud boundaries using your criteria.