Allow AI, Control the Risk: Complete AI Governance with Jamf AI Governance

Session Overview

Generative AI has become a core productivity and innovation driver for the enterprise — but it's also creating new security challenges, from sensitive data leaks to unauthorized AI service use and regulatory/compliance requirements. Rather than blocking AI use outright, organizations now need to manage and govern it so it can be used safely within their security policies.

This session introduces how Jamf — a leader in Apple endpoint management and security — helps organizations adopt AI more safely and systematically through Jamf AI Governance. Built on management and security capabilities optimized for the Apple platform, it covers how organizations can gain visibility into AI usage, apply allow/block policies and policy-based access control, and effectively support sensitive data protection and compliance requirements.

Through a live demo, the session also shows how policy enforcement and control over AI services can work seamlessly without hurting developer or employee productivity, and shares practical operational strategies and best practices for how IT and security teams can strike the right balance between AI adoption and security.

Key Takeaways

• Why unchecked generative AI use creates new security risks — data leakage, unauthorized AI service use, and compliance gaps.
• Why the answer isn't blocking AI outright, but governing it within organizational security policy.
• How Jamf AI Governance gives visibility into AI usage and applies allow/block and policy-based access control across Apple endpoints.
• A live look at how policy enforcement can run without hurting developer or employee productivity.
• Practical operational strategies for balancing AI adoption with security across IT and security teams.