Deploying AI on Mac: A Field Guide for Where You Are and Where You’re Going
If there’s anything you can count on with AI, it’s speed. Capabilities, policies, deployment, security, infrastructure — all of it evolves faster than we can keep up. Every organization responds to these changes differently. Depending on your industry, regulatory requirements, internal policies and risk profiles, AI adoption varies. Maybe you’ve fully integrated agentic AI in your workflows. Or maybe you’ve been blocking it altogether so you can do more evaluation. There’s no wrong place to fall on the AI adoption curve.
Many organizations expect their employees to use AI to improve their productivity. This doesn’t always keep pace with governance policies, and security suffers as employees use unvetted tools or their personal accounts. But productivity and security aren’t on opposite sides of a see saw. You can’t improve one at the expense of the other. Employees need to be empowered with tools that help them work best. And precious data needs to be protected.
A scalable and effective AI deployment requires three steps:
- Visibility into what and how AI platforms are used, including apps, websites and agents whether they’re sanctioned or not
- Control over how AI tools are deployed, configured and scoped
- Governance that’s proven, sustainable, context-aware, up to date and compliant
In this e-book, we’ll talk through these steps.
