Rules on data and agent action
Policy and guardrails govern agent behavior and data handling — enforced at runtime, with human-in-the-loop for high-risk actions.
/Why this matters
Autonomy without guardrails
Agents that can act need rules about what they may do and with which data. Policy is enforced at runtime, not left to hope.
The cost of borrowed intelligence
/How it works
How it works
Write the rules
Define policy over data handling and agent behavior.
Enforce at runtime
Guardrails apply on every request and action.
Escalate high-risk
High-risk actions route to human-in-the-loop approval.
/Capabilities
Policy capabilities
/Fits your stack
Runs where your data lives
Events & Webhooks
React to alerts, tickets, and business events in real time.
Design partners
Own the intelligence layer
MiraeAI Uniforge is being built with a small group of design partners in regulated industries. We deploy a governed pilot in weeks, inside your environment, alongside our team.
Become a design partner/FAQ
Questions we hear often
You define it. Policy lets you flag actions — like moving payment or writing to a system of record — that must pause for human approval before an agent proceeds.