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Summaries are not the original full articles. ## Jamf in the age of agentic IT: An interview with CEO Beth Tschida DevFeed: [Jamf in the age of agentic IT: An interview with CEO Beth Tschida]() Original publisher: [Read original article]() Author: Jonny Evans Published: 2026-09-24T15:50:00Z Content type: article Language: en Sources: [Computerworld]() Topics: [Artificial Intelligence](), [AI Strategy](), [shadow AI](), [Security](), [Cloud]() Tags: [ai](), [apple](), [apple-artificial-intelligence-mobile-mobile-device-management-mobile-management-vendors-and-pro](), [artificial-intelligence](), [cloud](), [device-management](), [mobile](), [mobile-device-management](), [mobile-management](), [security](), [shadow-ai](), [vendors-and-providers]() ### AI overview An interview with Jamf CEO Beth Tschida describes the company's plans to integrate artificial intelligence across its Apple device-management ecosystem. The discussion focuses on governing shadow AI, monitoring AI use and costs, protecting confidential data, and giving IT administrators granular control over model access, including on-premises options. ### Source excerpt Jamf was a pioneer in Apple device management when it began in 2002. The company was ahead of its time: its founders could see that Apple had a future in the enterprise, but not many others saw it. Jamf now runs 35.2 million devices from 78,000 organizations. And it's still looking to the future. I spoke with Jamf CEO Beth Tschida, who joined me for a chat directly after her keynote speech at JNUC, Jamf's big event for Mac admins, on September 23. The AI-driven ecosystem Tschida wasn't there to rehash Jamf's past for relevance in the present, but to share the company's deep commitment to being where its customers are going to go. That means artificial intelligence, which in Jamf's case involves weaving AI across its ecosystem of products, from setup to tech support, security, and beyond. It's not a new vision -- you could argue that some early signs of its intention were visible when the company acquired ZecOps in 2022 -- but time moves forward and the company has coalesced around a firm philosophy of how to use AI, where to use AI, and how AI should be deployed in a human-centric way for the benefit of its customers. "AI runs better on Apple, and Apple runs better on Jamf," Tschida told me. The next piece to that statement is to consider how AI can be effectively managed by IT, she added. "You have to be able to see it. You have to be able to govern it, and then you want to be able to harness it." This points directly to shadow AI, one of the big-picture problems IT has with AI at the moment as employees feed confidential data to the cloud-based AI models. Jamf's response has been to create new frameworks IT can use to monitor use of AI across their managed fleets. These tools let IT identify use, manage use, or even stop use altogether. "How can we look at that, see it, govern it, and harness it in the ways that AI is providing that opportunity, right at the endpoint?" Tschida said. Precision modeling The other component is pricing. Even when data is legitimately sh ## From admin to architect: Jamf's vision for the autonomous Apple enterprise DevFeed: [From admin to architect: Jamf's vision for the autonomous Apple enterprise]() Original publisher: [Read original article]() Author: Jonny Evans Published: 2026-09-23T15:05:00Z Content type: news Language: en Sources: [Computerworld]() Topics: [Artificial Intelligence](), [ai-governance](), [Automation](), [shadow AI](), [self-service](), [extend]() Tags: [2026](), [admin](), [ai](), [ai-governance](), [ai-powered](), [apple](), [apple-artificial-intelligence-mobile-mobile-device-management-mobile-management-vendors-and-pro](), [artificial-intelligence](), [device](), [device-management](), [devices](), [diagnostics](), [enterprise](), [governance](), [mobile](), [mobile-device-management](), [mobile-management](), [networks](), [self-service](), [shadow-ai](), [vendors-and-providers]() ### AI overview Jamf is presenting an AI-focused overhaul of Apple enterprise device management. Its announced capabilities include self-service diagnostics, automation of routine IT work, and governance controls for shadow AI, including visibility into AI systems, usage policies, audit-ready reports, and browser-based restrictions on uploading corporate files to personal AI accounts. ### Source excerpt 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. AI, Apple, and IT 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. A response to shadow AI These include a centr