Can network monitoring detect a misbehaving AI agent?
Partly today, and NetSenX is explicit about which part. What is live: from the Pro plan, traffic from a host to external AI services and to locally run language-model runtimes, with timing and volume; and on every plan, the behaviours a misused agent would share with any compromised host, such as reaching many internal systems it never used before, scanning, regular check-ins to an unknown server, and unusual outbound data volume. What is not live: signals aimed specifically at agents, such as actions at machine tempo right after a language-model call, or a first connection to a new destination that follows a model response. NetSenX measures those in shadow mode, without raising alerts, until they are reliable enough to be useful; they should not be presented or relied on as detections. The stronger controls sit elsewhere: narrow permissions, human approval for consequential actions, and the agent's own action logs. A network sensor also never sees which instruction made the agent act.