Stop Unsafe Agents Before They Ship
You wouldn’t deploy code without CI. The pre-deployment risk gate runs a set of pre-flight checks on an agent before it goes live and blocks the ones that aren’t ready - shifting agent safety left, into the release pipeline.
Illustrative product view
Shift agent safety into the pipeline
Most AI risk controls run after an agent is live. The pre-deployment risk gate moves the first check earlier - to the moment before an agent ships - running pre-flight checks and returning a ship-or-hold verdict, the same way a CI pipeline blocks a failing build. An agent that isn’t ready never reaches production.
Frequently asked questions
What is the pre-deployment risk gate?
It is a CI/CD-style gate that runs pre-flight checks on an AI agent before it ships and returns a ship-or-hold verdict, so unsafe agents are stopped before they reach production.
How is it different from runtime monitoring?
Monitoring watches an agent after it’s live. The risk gate acts before deployment, blocking an agent that fails its checks from ever going live.
What does it check?
Pre-flight checks cover the readiness signals that matter before an agent ships - identity and scope, guardrails, tool-access bounds, and memory controls among them.
Where does it fit?
In the release pipeline, so agent safety is shifted left alongside your existing CI checks rather than bolted on in production.
Stay in the loop
One practical finance briefing a week - new guides, checklists, and benchmarks.
Put a decision - with proof - in front of every action
See how Fintra decides allow / step-up / hold / block per action and writes each verdict to a tamper-evident ledger.
Talk to us