Software engineering has spent decades reducing deployment risk.
Release gates became standard because they prevent avoidable failures.
A deployment isn't approved simply because the application builds successfully.
It also has to meet quality expectations.
AI systems deserve that same level of discipline.
An AI agent might function correctly while still exposing unnecessary security risks.
Prompt injection.
Unsafe tool usage.
Behavioral regressions.
Memory poisoning.
These aren't problems that should be discovered after deployment.
They're exactly the kind of issues release gates are designed to prevent.
As AI engineering matures, security should become one more gate in the deployment pipeline.
Not as an obstacle.
But as another signal that the system is ready for production.
That's the philosophy behind Crucible.
Helping engineering teams answer an important question before every release:
"Is this AI safe to ship?"
Pytest for AI Agents.
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