AI agents are now acting too quickly and at too great a scale for human teams to review manually, pushing companies toward AI-based monitors that can inspect, approve, or block their actions. But security researchers warn that an agent capable of deception may also learn to evade its AI overseer, making detailed logging and conventional network controls just as important.

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Cisco is extending Splunk AI to self-managed, private-cloud, and air-gapped environments while giving IT teams real-time visibility into agent behavior and token spending. The updates also add runtime guardrails, network-aware troubleshooting, and broader deployment options for Splunk Agent Observability.

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