What visibility gap do network and cloud tools fail to cover?

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Network- and cloud-based tools cannot fully see and govern AI processes running natively on managed Macs
Network- and cloud-based reporting solutions alone cannot provide the level of understanding of AI activity on the endpoint that organisations need, because AI tools run natively on Apple Silicon as operating-system processes. As a result, existing network proxies and cloud-based tooling cannot fully see or govern what is happening on the Mac endpoints. Jamf says this leaves a gap between what devices are actually running and what teams can confidently audit or report across the fleet.
AI activity happens as OS-level processes on Apple Silicon
The visibility gap is tied to how AI tools operate on macOS: they run natively on Apple Silicon and behave as processes. Jamf states that existing network proxies and cloud-based tooling cannot fully see or govern these endpoint processes, even when organisations have network and cloud visibility.
The gap includes sanctioned and prohibited or unsanctioned AI tools
Organisations struggle to confidently audit and report on AI tool usage across their device fleet, including both sanctioned applications and unsanctioned or prohibited tools. Jamf frames this as a problem of not having enough visibility to understand which AI applications are in use and how they behave on the endpoint.
Endpoint visibility is needed beyond network and cloud reporting
Jamf says AI Governance provides visibility into which AI applications are in use and detailed insights into how they behave on the endpoint. This is positioned as addressing the shortfall where network- and cloud-based reporting solutions alone cannot deliver endpoint-level understanding.
The missing coverage is “native, OS-level” governance on the Mac
Jamf describes the absence of a unified tool that combines platform-native device management with deep AI tool configuration coverage and a workflow that translates governance intent into vendor-correct macOS configuration. It calls Jamf AI Governance the native control plane that closes the gap by enabling visibility of Shadow AI and granular AI configurations on the endpoint.

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What visibility gap do network and cloud tools fail to cover?

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