Traditional software treats secrets differently.
API keys.
Tokens.
Passwords.
Credentials.
They're protected through strict rules.
AI agents introduce a new challenge.
They operate through context.
An agent may have access to:
- documents
- conversations
- memory
- tool outputs
The problem begins when sensitive information becomes part of that context.
Because an AI system doesn't naturally understand secrecy.
It understands patterns and instructions.
That's why prompt injection attacks often target information disclosure.
The goal isn't always control.
Sometimes it's extraction.
As AI agents gain access to more systems, secret management becomes an AI security problem.
This is one of the reasons we built Crucible.
"Pytest for AI agents."
Because protecting systems isn't enough.
We also need to protect information.
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