Route requests
Connect the selected workflow through the governance SDK and agentic API gateway.
AI Runtime Security
Put policy in the path
of agent actions.
Keep application policies close to execution, and preserve the context behind agent-to-agent, tool and human interactions.
The practical view
What this means for your team.
AI runtime security applies controls while an AI application operates. In AGMIO, the governance SDK routes requests through a gateway so policies can be evaluated and activity can be traced in the context of the workflow.
From question to control
A focused path forward.
Apply application policy
Choose controls and synchronous or asynchronous handling according to the criticality of the operation.
Review behavior
Trace interactions and investigate policy events alongside the responsible identities and business process.
A synchronous check can gate execution; asynchronous evaluation supports observation and follow-up. The approach is selected for the operation, rather than assuming every event is blocked in advance.
A few useful answers
Before you
take the next step.
Does monitoring automatically stop an unsafe action?
No. Monitoring and enforcement serve different purposes. Evaluation after an event provides visibility; a control in the execution path is needed to gate an action before it runs.
How can we evaluate this on our own workflow?
Start with a conversation about the agent, tools, data and controls in scope. A guided pilot can then focus on a defined use case and the evidence needed to evaluate it.
Make your next agent a considered decision.
Start with your
agent workflow.
Tell us what your agent does and where you need more control.