AI is quickly becoming part of everyday work across the enterprise, but security programs often lack the visibility and control needed to manage that adoption with confidence. As employees use AI tools, copilots, and AI-enabled applications in new ways, security teams face growing pressure to reduce risk without slowing the business.
The AI Security Gap: A Zero Trust Implementation Guide for Security Teams outlines a practical approach for closing that gap. It shows how to apply zero trust principles to AI adoption so teams can improve oversight, strengthen policy enforcement, and better protect sensitive data across users, apps, and workflows.
In this guide, you’ll learn how to:
- Identify shadow AI and unsanctioned usage across the enterprise
- Reduce the risk of sensitive data exposure in prompts and AI workflows
- Apply zero trust principles to AI access, usage, and governance
- Improve visibility and strengthen controls without disrupting productivity
- Build a practical 30/60/90-day roadmap for AI security implementation
