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Device / MDM

Jamf Pro AI Integration

Connect Jamf Pro to BeforeQuery for grounded AI answers and agent actions across Device / MDM.

Connect Jamf Pro
What is it?

About Jamf Pro

Jamf Pro is one of the Device / MDM platforms BeforeQuery connects to. Once linked, the platform's data becomes a first-class source for grounded AI answers and a target for policy-gated agent actions — the same identity, approval, and audit-log guarantees every other integration ships with.

Setup

How to connect Jamf Pro

  1. Step 01

    In the BeforeQuery dashboard, go to Integrations → Device / MDM and select Jamf Pro.

  2. Step 02

    Sign in to Jamf Pro with an account that has permissions to grant BeforeQuery the Device / MDM scopes required.

  3. Step 03

    Confirm the connection. Jamf Pro is now available as a source and action target for every playbook in your workspace.

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How BeforeQuery uses Jamf Pro

What the agent does with your Jamf Pro connection

  • 01

    Read the Jamf Pro device fleet — hardware, OS, compliance state, assigned user — into the Context Graph.

  • 02

    Push profiles, remote-lock or wipe devices, and enforce compliance rules via Jamf Pro write operations.

  • 03

    Answer employee device questions ("what OS am I on?") + IT questions ("who has an out-of-compliance Mac?").

  • 04

    Coordinate device lifecycle: order, enroll, refresh, wipe, and return — with the right approvals at each step.

Use cases

What teams actually do with the Jamf Pro integration

Lost-device remote lock

Employee reports laptop lost in Slack → BeforeQuery verifies identity, remote-locks the Jamf Pro-enrolled device, invalidates SSO sessions, notifies security. Sub-minute response; full audit trail.

Compliance drift auto-remediation

Nightly, BeforeQuery pulls the Jamf Pro compliance report. Devices in violation (missing OS patch, disabled encryption, expired MDM check-in) get an auto-remediation attempt; user is notified with next steps.

New-hire zero-touch enrollment

HR fires new-hire event → BeforeQuery orders laptop, assigns to user in Jamf Pro, pushes the role-appropriate profile, and pre-configures apps + printers. Device arrives ready; first boot enrolls automatically.

Answer questions grounded in Jamf Pro

Employees and customers ask Jamf Pro-related questions in Slack, Teams, or the widget — BeforeQuery answers with the exact Jamf Pro record shown alongside the response. No context switching, no "log into Device / MDM to check" round-trips.

Jamf Pro — Frequently Asked Questions

Common questions about connecting BeforeQuery to Jamf Pro.

Yes, but with strict approval + step-up MFA. Wipes require security-lead approval, log the reason and target, and cannot be batched. Selective wipe (corporate profile only, keeping personal data on BYOD) is available where Jamf Pro supports it.
Standard OAuth 2.0 where Jamf Pro supports it, otherwise API-key or bearer-token auth. Credentials are stored encrypted at rest (AES-256-GCM) per workspace, never shared across customers, and rotated on request. The connection is scoped to the least-privilege set of scopes each playbook needs — you approve the scope list on install.
No. Your Jamf Pro data feeds only your workspace's own agents and answers. Nothing is used to train a shared model, and nothing crosses workspace boundaries. Bring-your-own-model is available on Enterprise if you want to pin inference to your own OpenAI / Anthropic / self-hosted deployment.
Yes. Every Jamf Pro integration is scoped at install time — you pick which resources, users, or record types are visible. You can further restrict per-playbook: a single playbook only touches the specific Jamf Pro objects it needs. Scope changes take effect on the next sync.
Every write is logged with the acting user, the playbook that fired it, the exact operation, the target entity IDs, and the timestamp — all in the immutable audit log. Writes are rehearsable in simulation mode against a copy of live data before they touch Jamf Pro for real.

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