When traditional software fails, we often look for bugs.
When AI agents fail, the software may be working perfectly.
The issue is that the instruction itself was harmful.
An agent receives a command.
The command appears valid.
The agent executes it.
The result becomes a security incident.
This is why prompt injection is fundamentally different from many traditional attacks.
The vulnerability isn't always in the code.
It's in the decision-making process.
As AI systems gain autonomy, security teams need to evaluate not only whether agents follow instructions, but whether they should follow them.
Because perfect obedience can be dangerous.
This is one of the reasons we're building Crucible.
Pytest for AI Agents.
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