Many software teams have embraced continuous integration and continuous deployment.
AI systems deserve the same mindset for security.
The moment an AI agent reaches production, its environment begins to change.
New users interact with it.
New tools are connected.
Enterprise data evolves.
Memory grows.
External systems change.
Even if nothing inside the model changes, the system around it does.
That means a security assessment performed before launch is only one snapshot in time.
As AI applications become more dynamic, security has to become continuous.
The future isn't just "secure by design."
It's secure throughout operation.
That's one of the long-term ideas behind Crucible: making AI security a continuous engineering practice rather than a one-time release checklist.
Pytest for AI Agents.
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