Most cybersecurity frameworks were designed for deterministic software.
Inputs go in.
Code executes.
Outputs come out.
AI changes that model.
Modern AI agents evaluate context before acting.
They retrieve information.
Select tools.
Choose workflows.
Respond differently depending on the situation.
In other words, they make decisions.
That creates a new engineering challenge.
Security can no longer focus only on protecting infrastructure.
It also needs to validate how autonomous decisions are made.
Can those decisions be manipulated?
Can policies be bypassed?
Can adversarial inputs change the outcome?
Can we verify consistent behavior over time?
As AI becomes part of business-critical systems, securing decision-making will become just as important as securing infrastructure.
That's why Crucible focuses on behavioral testing rather than just model evaluation.
Because production AI isn't just executing code.
It's making choices.
Pytest for AI Agents.
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