ScopeDB FAQs

Question 1

What is ScopeDB and how does it help with AI data access?

Accepted Answer

ScopeDB is a tool that enables AI to fetch data autonomously within predefined, auditable boundaries. It prevents full database exposure by allowing you to define exactly which tables, columns, rows, and operations AI can access.

Question 2

Can ScopeDB be used for multi-tenant applications or user-specific data access?

Accepted Answer

Yes, ScopeDB is designed for multi-tenant scenarios. It supports row-level filters that can be dynamically injected with context parameters (e.g., `user_id`), ensuring each AI workflow or user only interacts with their authorized data.

Question 3

How does ScopeDB ensure data security when AI is accessing the database?

Accepted Answer

ScopeDB enforces security through config-driven scopes. It provides features like scoped table and column visibility, row-level filters, controlled JOINs, and write access to specific columns only, ensuring AI operates strictly within safe limits.

Question 4

What kind of database operations can AI perform using ScopeDB?

Accepted Answer

With ScopeDB, AI can perform structured queries (including filters, sorting, JOINs, and aggregation) and controlled data mutations to specific columns. All operations are validated against the defined scope settings, preventing raw SQL prompting and unauthorized actions.

Question 5

How does ScopeDB differ from traditional database security methods like RLS or application APIs?

Accepted Answer

ScopeDB complements existing RLS and application APIs by providing a dedicated, reusable layer for AI-facing data access. It centralizes the definition of AI data boundaries, reducing the need for manual context assembly and glue code, offering more flexibility and less security risk than exposing raw SQL.

ScopeDB

ScopeDB

Key Features

Use Cases

Key Features

Use Cases