Menu

Jamf Launches First Native AI Governance Tool for Mac, Giving IT Teams Visibility and Control Over Enterprise AI Tool Usage

Terry KS 14 hours ago
Apple device management company Jamf has launched AI Governance, a first-to-market capability that lets IT and security teams discover, control and report on AI tool usage directly at the Mac endpoint level. The new feature, now generally available with support for Claude Code, Claude Desktop and OpenAI Codex, comes as enterprise AI governance spending is projected to reach US$492 million in 2026.

SINGAPORE, 1 JULY 2026 – Jamf, the Apple device management and security platform, has announced the general availability of AI Governance, a new capability within Jamf for Mac that enables IT and security teams to discover actively-used AI tools, enforce policy controls and generate audit-ready reporting. The company said this makes it the first vendor to deliver native, operating system-level AI governance controls for Mac.

Jamf will showcase the capability at its Jamf Nation events in Sydney, Kuala Lumpur and Hong Kong in August 2026.

Addressing a Growing Visibility Gap

Many organisations struggle to audit and report on AI tool usage across their device fleets, covering both sanctioned applications and unsanctioned or prohibited tools. Jamf said existing network and cloud-based reporting solutions cannot fully see or govern AI tools that run natively on Apple Silicon and operate as device-level processes.

AI Governance closes this gap by providing comprehensive visibility into which AI applications are in use and how they behave on the endpoint, enabling security teams to identify risk, support compliance and make informed governance decisions from within the same management platform they already use.

The capability launches with support for Claude Code, Claude Desktop and OpenAI Codex, offering governance coverage across model access, tenancy, network permissions, file system controls, MCP server restrictions and other vendor-specific AI configurations. A vendor control tracking engine continuously monitors supported AI platforms for new or updated controls, helping organisations keep governance policies current as AI tools evolve. All policies are enforced offline and before a user’s first login to an AI agent, establishing what Jamf describes as a foundational day-zero and tamper-resistant policy baseline.

Three Core Pillars

The capability is structured around three functions. On visibility, AI application discovery surfaces AI tools, agents and large language model runtimes across the device fleet, including command line developer tools and background agents, using Jamf’s existing telemetry agent built on native macOS frameworks without requiring a new agent installation.

On control, IT teams can define sanctioned tools, deploy access policies at scale and apply different governance postures to different teams, with vendor-correct configurations applied automatically. On governance, an executive AI posture report gives CIOs and CISOs a snapshot summary of AI usage across the organisation, with compatibility for security information and event management systems and support for existing compliance frameworks.

Beth Tschida, CEO of Jamf, said AI adoption across the enterprise is moving faster than existing technology policies can keep up with, and that organisations need governance that matches how AI tools actually operate on Mac, encompassing visibility, endpoint-enforced policy controls and compliance reporting.

Sam Lalli, Security Engineering and SOC Manager at Eventbrite, said the capability impressed his team with how quickly policy could be applied across their Mac fleet without adding another point solution or creating friction for developers.

Governance Urgency Is Rising

The launch comes as enterprise demand for AI governance tools accelerates. Jamf’s own AI Governance Survey found that organisations with deeply integrated AI are 40% more likely to report a security incident than those still in an exploration phase, suggesting that governance is becoming an operational requirement rather than a future planning exercise.

Research firm Gartner projects that spending on AI governance will reach US$492 million in 2026 and surpass US$1 billion by 2030. Gartner also noted in its Top Cybersecurity Trends for 2026 report that cybersecurity leaders must identify both sanctioned and unsanctioned AI agents, enforce controls for each and develop incident response playbooks to address potential risks.

Jamf AI Governance is now available in Jamf for Mac and can be explored at jamf.com/solutions/ai-governance.

%d