Scout monitors, governs, and intervenes when AI systems drift beyond policy, trust, or safety boundaries.
When a governed agent drifts beyond policy, behaves unexpectedly, or encounters a security event, Scout gives you one action: stop everything, from one place, in one second.
Every agent under Scout management receives a continuously updated trust profile covering identity, compliance, behaviour history, and risk score. Evidence. Not promises.
Verified identity record linked to deployment metadata, ownership, and capabilities.
Trust score updates in real time based on observed actions, policy compliance, and anomaly history.
Every action, approval, and governance event recorded and exportable as JSON, CSV, or PDF.
Three independent protection layers evaluate every input, tool response, and model context before any action is executed. Malicious prompts are blocked before they become behaviour.
Regex pre-filter and pattern matching on all user input and injected content before it reaches the model.
LLM judge layer evaluates context against active governance policy before approving execution.
Output guard inspects model responses and tool calls for unsafe, unexpected, or policy-violating content.
Monitoring tells you what happened. Scout decides what happens next.
| Traditional Security | Scout |
|---|---|
| Alerts | Intervention |
| Monitoring | Governance |
| Logging | Decisions |
| Reports | Control |
| Detection | Prevention |
Before agents take high-risk actions, Scout pauses and waits. Operators approve or reject from the dashboard.
Tool call or external action triggers policy evaluation.
Policy engine compares action against active governance template and risk thresholds.
High-risk actions pause. Human approves from the dashboard. Agent proceeds only on approval.
One Scout licence per deployment. Monitor gives visibility. Pro adds response controls, approvals, and a kill switch.
Console URL and API key emailed at provisioning.
Govern AI systems with trust, visibility, and intervention capabilities designed for real-world autonomy.