Agents you can trust

Built-in defenses against prompt injection, runaway actions, and data leakage — so you can let agents run autonomously without losing control.

Prompt injection defense

External inputs — email replies, Slack messages, webhooks, and fetched data — are tagged with their trust level before reaching your agent. The model is always aware of what came from outside and treats it accordingly. Hostile content can't silently hijack agent actions.

Human-in-the-loop approvals

Agents pause and ask for approval before taking sensitive or irreversible actions. Set standing allow/deny rules per tool, or require a human sign-off every time. You stay in control of what runs autonomously and what doesn't.

Access controls & spend limits

Encryption

No model training

Your conversations, files, and connected app data are never used to train AI models. We use API-tier access with all providers, which contractually prohibits training on your inputs and outputs.

Compliance