AI agents become useful because they can interact with the outside world.
They browse websites.
Query databases.
Call APIs.
Access cloud infrastructure.
Interact with MCP servers.
But every connected tool introduces a new security challenge.
The question isn’t whether the tool itself is secure.
The question is what happens if the agent controlling that tool is manipulated.
A prompt injection attack against a chatbot is one thing.
A prompt injection attack against an agent with terminal access is something entirely different.
Capabilities amplify impact.
As agents become more autonomous, understanding tool-level risk becomes critical.
Because every tool isn’t just a feature.
It’s a potential attack path.
This is one of the reasons we’re building Crucible.
Pytest for AI Agents.
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