# 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.

FAQ: [AI use and AI security](https://netsenx.com/en/faq/ai) · https://netsenx.com/en/faq/can-network-monitoring-detect-a-misbehaving-ai-agent

## Read next

- https://netsenx.com/en/shadow-ai-detection
- https://netsenx.com/en/ai-transparency

## Related questions

- [How do attackers use AI against companies like ours?](https://netsenx.com/en/faq/how-do-attackers-use-ai-against-companies)
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- [What is shadow AI?](https://netsenx.com/en/faq/what-is-shadow-ai)
- [Can NetSenX detect shadow AI on my network?](https://netsenx.com/en/faq/can-netsenx-detect-shadow-ai-on-my-network)
- [How can I detect shadow AI on my network?](https://netsenx.com/en/faq/how-can-i-detect-shadow-ai-on-my-network)
