Description

Unapproved AI tools are already operating inside most organizations—often without security review, data controls, or executive awareness.

Governing Shadow AI is a practical guide for IT leaders and executives responsible for identifying and managing unsanctioned AI use across the business. The book focuses on detection, containment, and governance rather than blanket prohibition, recognizing that shadow AI often emerges from productivity pressure rather than malicious intent.

It provides clear methods to surface hidden AI usage and apply fast, proportionate controls.

Readers will learn how to:

Identify shadow AI through technical, operational, and behavioral signals Understand the data, privacy, and security risks of unsanctioned tools Apply lightweight policies that enable visibility without blocking innovation Implement quick remediation and approval workflows Engage business units without triggering workarounds Integrate shadow AI findings into risk and audit processes

This book helps organizations regain visibility and control over AI use while preserving agility and trust.

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