Keep sensitive data
where it belongs.
Remember a sensitive read, even when another agent sends the request.
Enforce policy using what happened
across the entire AI workflow.

01 / Stateful across agents
One agent starts the work.
Another acts on what it found.
Sensitive customer data entered the task.
A new agent continues the task.
Earlier sensitive read. External destination.
The same action is allowed or blocked based on earlier steps—even when another agent took them.
Sensitive path selected. Block the action.
Why stateful matters
“Can this agent use this tool?”
“Should it act now,
given the whole task?”
02 / How it works
Track the workflow across agents.
Decide at each action.
03 / Across the workflow
Illustrative cases spanning
steps and agents.
Remember a sensitive read, even when another agent sends the request.
Keep the task goal intact as work passes between agents.
Apply limits using the task’s earlier actions and current state.
04 / Built around your team
Keep guardrails with the task.
Enforce at each action point.
Make prior steps count.

Let’s talk agent security
Show us your agent workflow.
Let’s map state across the task.