As AI agents gain more capabilities, security is changing.

Traditional software security focuses on:

• vulnerabilities
• exploits
• infrastructure

Agent security introduces a different challenge.

Trust.

An AI agent may have access to:

• databases
• APIs
• internal tools
• external systems

The problem isn't access.

The problem is understanding when access should not be used.

Humans naturally understand boundaries.

We recognize ownership.

We understand permission.

We know when to stop.

AI agents often don't.

They see available actions.

They see instructions.

They optimize for completion.

That's why trust boundaries are becoming one of the most important security concepts in agentic systems.

This is one of the reasons we built Crucible.

"Pytest for AI agents."

Because agent security isn't just about what an agent can do.

It's about what it should never do.

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