When people think about AI security, they usually imagine a malicious prompt arriving right now.
But modern AI agents don't always operate in the present.
They remember.
They store context.
They retrieve previous conversations.
They personalize future interactions.
That memory is incredibly useful.
It's also a new attack surface.
A carefully crafted instruction can be stored today and influence decisions tomorrow.
The initial interaction might appear completely harmless.
The real impact only appears after the memory is retrieved in a later conversation.
That's what makes memory poisoning so challenging.
It's not an attack against one response.
It's an attack against future behavior.
As AI agents become more stateful, testing memory security will become just as important as testing prompt security.
That's why Crucible includes dedicated testing for memory poisoning—to help developers evaluate how persistent context can affect the safety and reliability of AI agents.
The future of AI security isn't just protecting the current conversation.
It's protecting every conversation that follows.
Pytest for AI Agents.
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