Airia Announces Inline Security Runbooks to Intercept Risky AI Agent Actions in Real Time
Airia is extending Agent Constraints with a capability security teams have been asking for: Security Runbooks that trigger inline, at the exact moment an AI agent attempts a tool call.
This gives enterprises the ability to intercept, review, and resolve risky actions before they complete.
Why We Built This
AI agents are taking action on behalf of enterprises every day. They access data, execute workflows, and make decisions at machine speed. That autonomy creates tremendous value, but it also introduces risk.
Traditional security playbooks operate on a detect-and-respond model. A violation is flagged, and the playbook kicks off a sequence of steps to investigate and remediate. The problem? By the time the playbook runs, the agent has already acted.
We knew there had to be a better way. So we moved the runbook logic upstream.
What This Means for Your AI Governance
With inline Security Runbooks, Airia intercepts tool calls at the moment they happen. Instead of a simple allow-or-deny decision, the platform runs a customer-defined sequence of steps. The outcome of that sequence determines what happens next.
Each runbook returns one of three verdicts:
- Resume: The tool call proceeds as intended
- Block: The action is stopped entirely
- Escalate: The call is routed for human review
This approach transforms Security Runbooks from a response mechanism into a prevention mechanism. You can catch risky actions at the moment they occur, not after the damage is done.
Flexibility Through Conditional Logic
Not every tool call carries the same level of risk. That is why we built if-then-else logic into Security Runbooks.
Administrators can automate routine sequences end-to-end while reserving on-demand review workflows for high-stakes actions. This gives your team the flexibility to enforce strong controls without creating bottlenecks in day-to-day operations.
The Audit Trail Regulators Expect
Compliance teams face growing pressure to demonstrate that AI systems operate within defined boundaries. Regulators want evidence that controls are in place and that exceptions are handled appropriately.
Because Security Runbooks execute inline, every decision is captured in a complete audit trail. Your organization can show exactly what checks were performed, what conditions were evaluated, and what verdict was returned for each tool call.
“Running a runbook at the moment of the tool call means you can actually gather what you need to know, confirm the system is in a safe state, and only then let the action through, at the speed agents operate, with the audit trail regulators expect,” said Kevin Kiley, CEO of Airia.
A New Standard for AI Agent Security
This release reflects our commitment to making enterprise AI both powerful and safe. By enforcing policy at the execution layer, organizations can scale their use of autonomous agents with confidence.
Inline Security Runbooks are available now for Airia customers.
Ready to secure your AI agents before risky actions complete? Request a demo to see inline Security Runbooks in action.
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