Internal audit is broken. Sampling can't keep up with modern risk.In a world of real-time transactions, cloud systems, and continuous change, traditional audits-built on sampling and periodic reviews-are creating a dangerous illusion of assurance.This book shows you how to fix it.AI for Internal Audits is a practical, experience-driven guide to transforming audit from: - Reactive → to real-time- Sampling-based → to full-population assurance- Manual → to AI-powered continuous monitoringWritten from the perspective of a seasoned audit and technology leader, this book goes beyond theory and hype to deliver: - How to redesign audit processes using AI- How to build continuous monitoring systems- Where AI actually works-and where it fails- How to validate AI-driven insights with confidence- A step-by-step roadmap to implement transformationWhether you are an internal auditor, GRC professional, CISO, or audit leader, this book will help you: Move from reporting the past → to predicting risk before it happens.
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