It seems that the AI agent security industry may be repeating familiar mistakes: reaching for detection as a first-line preventative control instead of doing the structural work.

Detection is not prevention. A filter that can be probed and evaded by the system it is protecting is not a control. It is a delay.

Instead, treating security as an engineering problem leads to invariants: what can we make structurally impossible? What attack surface can we completely eliminate? Detection comes after, augmenting a foundation that does not depend on it.

For AI agents, the structural question is: can we constrain the agent to a path aligned with human intent, rather than trying to detect whether it behaves maliciously?

More below:
https://securityblueprints.io/posts/agent-perimeter-fallacy/

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