Traditional systems rely on trust models.
Employees earn trust.
Administrators earn trust.
Services establish trust through authentication, auditing, and accountability.
AI agents introduce a different challenge.
The moment an agent is connected to tools and workflows, it often inherits trust automatically.
That inherited trust can include:
database access
internal APIs
customer information
operational workflows
The problem is simple.
Trust is being granted before judgment has been demonstrated.
As agents become more autonomous, security teams need new ways to evaluate trustworthiness.
Not just permissions.
Not just authentication.
Behavior.
Because the most dangerous assumption in AI security may be that access automatically implies trust.
This is one of the reasons we’re building Crucible.
Pytest for AI agents.
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