One of the biggest misconceptions in AI engineering is believing that passing a security evaluation once is enough.
It isn't.
AI systems evolve.
Models are updated.
Prompts change.
Knowledge bases grow.
Tools are added.
Every change can influence behavior.
That's behavioral drift.
The challenge isn't simply detecting vulnerabilities.
It's detecting when previously safe behavior gradually becomes unsafe.
Continuous behavioral validation helps engineering teams identify those shifts before users experience them.
Because in AI, yesterday's passing test doesn't guarantee tomorrow's reliability.
That's why we're building Crucible.
Helping teams continuously measure and validate AI behavior over time.
Pytest for AI Agents.
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