Privacy

Privacy policy

This page gives a high-level description of how Spark AI handles account data, connected sources, and shared views.

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Account and workspace data

Spark AI stores the account information needed to authenticate users, manage organizations, and operate the product.

Workspace metadata such as saved dashboards, watches, and sharing settings is stored so teams can return to previous work and collaborate safely.

Connected sources and uploaded files

When you connect a data source or upload a file, Spark AI uses that material to answer questions, build dashboards, and power saved views inside your workspace.

Access to connected data is controlled by workspace roles and by the sharing settings applied to each saved view.

Security and sharing

Spark AI is designed to restrict product access by authenticated user, active organization, and role-based permissions.

Shared dashboard views are intended to use saved snapshot data so teams can distribute the result of an analysis without re-running a new AI chat for every viewer.

Your responsibilities

Customers are responsible for choosing what data to connect, who should have workspace access, and what views may be shared outside the workspace.

If your team has specific regulatory, residency, or retention requirements, review those requirements before connecting sensitive data.

If your team needs a more specific security or data-handling review before rollout, coordinate that review through your workspace owner or onboarding contact.