AI Security Isn't a Snapshot. It's a Continuous Process.

One of the easiest mistakes to make with AI security is treating testing as a one-time event.

You run your security evaluation.

Everything passes.

You deploy.

Done.

Except your AI system doesn't stay the same.

The model can change.

The system prompt can change.

Your RAG knowledge base can change.

New tools can be connected.

Memory can evolve.

User interactions can change the agent's state.

And behavior can change with all of them.

A passing test doesn't mean permanent safety

Imagine an agent passes every security test today.

Three months later:

The underlying model has been updated.
The system prompt has been modified.
A new MCP tool has been introduced.
The knowledge base contains new documents.
Memory behavior has changed.

The original test results haven't changed.

But the system has.

So what exactly did the original security test prove?

It proved that the agent behaved acceptably at that point in time.

That's useful.

But it's not continuous confidence.