Jamf launches AI governance for Mac fleets in enterprises

Jamf is launching AI Governance for Mac, aimed at IT and security teams managing Apple device fleets.

Built into Jamf for Mac, the feature lets administrators discover AI tools, apply policy controls, and produce audit-ready reporting for managed Macs.

Initial support covers Claude Code, Claude Desktop, and OpenAI Codex. The service monitors supported AI platforms for new or updated controls so organisations can keep governance policies current as AI products change.

The launch reflects a broader push by technology suppliers to address the spread of AI applications inside companies, particularly when tools run directly on employee devices rather than through centrally managed web services. On Macs using Apple Silicon, Jamf argued that native AI applications and background processes can be difficult for existing network proxies and cross-platform endpoint tools to fully observe or control.

Jamf's approach uses the device management layer administrators already rely on in macOS. This lets teams deploy configuration settings directly to endpoints without requiring a separate discovery agent, instead drawing on telemetry from Jamf Protect.

Three areas

The product is structured around visibility, control, and governance. In practice, that means identifying AI applications, agents, and large language model runtimes across a fleet, setting rules on which tools are allowed, and creating reports for executives and security teams.

Administrators will be able to apply different security settings to different user groups. Jamf also outlined three default policy postures: Maximum Security, Balanced, and Developer-friendly.

Governance functions also include compatibility with security information and event management systems and support for companies reporting against existing compliance frameworks.

Beth Tschida, Chief Executive Officer at Jamf, outlined the company's view of the challenge facing enterprise customers.

"AI adoption across the enterprise is moving faster than existing technology policies can keep up," said Beth Tschida, Chief Executive Officer, Jamf. "Organisations need governance that matches the way AI tools actually operate on Mac. This means visibility into what's running, policy controls enforced directly on the endpoint, and reporting that helps security teams demonstrate compliance. Our AI Governance capability delivers that natively from the same platform customers already trust to manage and secure Apple devices."

Market pressure

Jamf linked the launch to rising concern over unsanctioned AI use in workplaces and the challenge of applying security and compliance rules consistently as employees adopt coding assistants, desktop AI tools, and other agents.

It cited findings from its own survey saying organisations with deeply integrated AI are 40% more likely to report an incident than those still in the exploration stage. Jamf presented that as evidence that AI governance is becoming an operational issue rather than a longer-term planning matter.

Industry analysts are also tracking increased spending in this area. Jamf cited Gartner figures forecasting that spending on AI governance will reach USD $492 million in 2026 and exceed USD $1 billion by 2030, as organisations reassess tools and strategies around regulatory and operational risk.

Another Gartner assessment highlighted the security angle more directly, saying cybersecurity leaders need to identify both approved and unapproved AI agents, apply controls to each, and prepare incident response plans for related risks.

Apple focus

The release underlines Jamf's strategy of concentrating on Apple management and security rather than offering a broad cross-platform product. It said no existing tool combines mobile device management authority, detailed AI configuration coverage, and a workflow that converts governance policy into macOS settings for vendors' AI products.

That focus may appeal to larger organisations standardised on Macs, especially in development teams where command-line tools and desktop-based AI assistants are increasingly part of day-to-day work. These environments can create blind spots for security teams when software is installed locally and operates outside browser-based controls.

Jamf said it manages and secures more than 35 million devices for over 78,000 organisations in 100 countries.