As enterprise AI adoption surges, the conversation has officially moved past whether to adopt to how to govern.
According to Jamf’s latest survey of 687 IT and security leaders, nearly 3 in 4 organizations (72.9%) have already deployed AI tools. However, rapid deployment without strong governance creates massive operational risk.
In fact, 81.7% of organizations are exposed to AI risk, and over 1 in 5 (22.0%) have already suffered an AI-related security breach, data exposure, or cost surprise.
Exposure Scales with Adoption - Not Against It
Counterintuitively, organizations furthest along in their AI journey report the highest rate of incidents (27.1%). Unvetted Shadow AI, hidden browser extensions, CLI tools, and autonomous developer agents create critical security blind spots that traditional, network-edge security tools completely miss.
What You Will Explore Inside the Jamf Survey Report:
The Reality of AI Incidents: Why 59.7% of IT leaders expect a near-term AI cost or security incident, and how deeply integrated AI increases incident rates by 40%.
The 4 Key AI Risk Drivers: Uncover the hidden dangers of Shadow AI, vendor sprawl, unvetted agentic developer tools, and unexpected usage-based cloud API costs.
4 Actionable AI Governance Principles: Learn how to gain runtime visibility, govern API traffic instead of restricting users, embed security into deployment, and utilize Apple-native security tooling.
Peer Industry Insights: Read qualitative analysis from 178 IT leaders navigating regulatory compliance, data privacy, and agentic AI risks.
Stop choosing between employee productivity and data security. Partner with Brilyant and Jamf to gain absolute visibility and control over your Apple enterprise AI landscape.
Download the Jamf AI Governance Survey Report now!
