Now a private company, Jamf opened its big annual event for Apple enterprise management teams, JNUC, by taking big steps to exploit artificial intelligence in the management of Apple fleets. During her keynote speech at the Kansas City event, CEO Beth Tschida shared some of the details of the platform-scale overhaul the company has set in motion.
“IT teams are managing more endpoints and more complexity than ever,” she said. “We want Jamf to handle more of that routine work automatically… because AI runs better on Apple, and Apple runs better on Jamf.”
Tschida — and Jamf — have been consistent on the value of AI to IT, which played a major focus at last year’s JNUC also. When I spoke with her, she was resolute on the need for IT to engage with the tech, telling me, “AI is happening whether organizations know it or not. That’s the problem. You can try to block it, but that’s very hard to do well. It’s far better to build visibility and governance around it.”
As you’ll see, this is very much part of what Jamf at JNUC 2026 is working to achieve.
The combination is about exploiting AI support inherent to Apple’s platforms to help reduce time-consuming IT tasks. It means that Apple device management in the future will be less about management and more about creating autonomous enterprise ecosystems in which the tech handles the routine tasks, while humans handle the strategy.
Jamf’s offerings now include a new AI-powered self-service diagnostics system. Employees will be able to troubleshoot their own devices by asking Jamf questions on their device, such as “Why are my video calls lagging?” and receive an immediate explanation and a one-click fix.
These improvements aren’t confined to routine task automation. They also extend into AI governance. The company introduced its AI Governance suite earlier this year, and at JNUC announced new capabilities to help IT take control of shadow AI across their networks.
These include a centralized AI control panel which shows admins which AI systems are running across their fleet and lets them enforce usage policies and also generate audit-ready reports. The company is extending this into the Safari, Chrome, and Edge browsers, which means organizations can prevent the upload of corporate files to personal AI accounts through browsers on managed devices.
It means that IT doesn’t just see AI is being used but can identify which models are running and what the token costs are, while also being able to block corporate files from being uploaded to a personal account in Safari or Chrome.
For security-conscious firms, Jamf is also enabling the deployment of local inference engines. That support means companies can run AI workloads directly on Apple hardware, ensuring that prompts and sensitive data never, ever leave the device. The transformation of IT means IT itself is becoming an application, and Jamf seems to be embracing this approach with a new Platform API Gateway and a Terraform provider. Together, these make it possible for IT teams to manage their entire Apple environment using “Infrastructure as Code.”
Think GitOps for admins, in which a change to the fleet becomes a peer-reviewed pull request, and a rollback becomes as simple as a click.
Jamf also introduced Jamf Tap, its NFC/RFID system that lets frontline workers simply tap an ID badge to instantly assign the device and sign into necessary apps, aimed at streamlining things like shift changes in warehouses.
Final announcements from the company included Ring Deployments, a rollout system that tests updates with a pilot group before expanding to the wider fleet, and a curated catalog that automatically installs and updates popular Mac apps. JNUC 2027 takes place in Anaheim, California, from October 26–28, 2027. It will mark the company’s 25th anniversary.
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