# The enterprise AI security playbook: Governing AI systems with unified risk intelligence

Free e-book

Discover how to contain *shadow AI*, uncover sensitive data exposure, *prevent AI agent privilege escalation*, and maintain *AI compliance* using unified IT intelligence.

## AI is expanding the attack surface. Are your AI security controls keeping pace?

![The enterprise AI security playbook: Governing AI systems with unified risk intelligence](https://cdn.manageengine.com/sites/meweb/images/analytics-plus/ebook/e-book-on-ai-governance-and-security.png)

As enterprise AI adoption grows, new risks grow alongside it: employees turn to unsanctioned AI tools, sensitive data exposure increases, and AI agents gain access to data and systems.

Many enterprises still manage these *AI security* risks through point solutions, periodic reviews, and fragmented, after-the-fact monitoring, leaving security teams piecing together isolated signals and reacting to risks only after they compound.

Effective *enterprise AI security and governance* requires a new approach: one that brings unified visibility across the AI environment, flags emerging risks before they escalate, and helps teams move from detection to targeted action effortlessly.

This e-book shows how unified risk intelligence enables this approach to strengthen *enterprise AI security* and *risk management*—from *shadow AI governance and AI agent privilege management* to *AI compliance*.

### You'll learn how to:

- **Gain unified visibility into AI usage,** access, and security incidents with an *AI security dashboard*.
- **Track *shadow AI* growth** and investigate what's driving unauthorized usage.
- **Investigate sensitive data-sharing events** to understand where it is concentrated, who is involved, and how security controls respond.
- **Spot *AI agent privilege escalation risks*** and prioritize agents that warrant closer review.
- **Build a unified *AI compliance dashboard*** to track findings, policy violations, remediation, and control gaps continuously.