See how AI actions are controlled before execution.
This demo shows Guardian Gate checking sensitive file, system, and network actions before they touch real workflows in internal automations, coding agents, or tool-using copilots.
Autonomous action becomes execution risk.
Once an agent can execute, each request becomes a live decision with consequences for files, systems, and data.
Delete inbox items older than 30 days
Bulk destructive action across user content.
Overwrite config.yaml
Direct configuration change affecting application behavior.
Run shell command for workspace cleanup
High-impact file operation requiring policy control.
Send data to an unknown external domain
Potential exfiltration or uncontrolled data transfer.
Guardian Gate sits between intent and execution.
It checks policy, scope, and destination before anything touches files, systems, or data in a live workflow.
Action intent
Decision layer
Controlled execution
Each action receives a clear decision.
Operators can see what proceeds, what requires approval, and what stops immediately.
Delete inbox items older than 30 days
Bulk content deletion proceeds only with explicit user approval.
Overwrite config.yaml
Protected configuration write outside the permitted policy boundary.
Send data to an unknown external domain
Outbound destination is not on the approved destination list.
Read an approved file in the workspace
Read-only access inside the approved local execution boundary.
Without control, mistakes become system events.
Guardian Gate reduces that risk before actions affect live files, systems, and data.
Control AI actions before they touch files, systems, or data.
For teams deploying action-taking AI into real workflows where file changes, commands, and outbound calls need checks before execution.