How ToRivers Handles Your Clients' Data

The Trust Problem

Professionals handle sensitive client data — financial records, medical information, legal documents. Before running any AI workflow, they need to know: where does my data go?

Our Security Architecture

Credential Vault

All credentials encrypted with AES-256-GCM. The automation developer never sees your tokens. They access data through a proxy that validates permissions and strips identifiers.

Docker Sandbox

Every execution runs in an isolated Docker container. No network access except whitelisted endpoints. No filesystem persistence after completion. No cross-execution data leakage.

Exfiltration Prevention

The sandbox monitors outbound requests. If an automation tries to send data to an unauthorized endpoint, it's blocked and flagged.

Scope Matching

If an automation needs Google Sheets access, it gets Sheets access — not your entire Google account. Minimum necessary permissions.

What We Don't Do

• We don't train models on your data
• We don't store execution inputs after completion
• We don't share data between executions
• We don't give developers access to your credentials

Professional data deserves professional security. That's non-negotiable.