Auditing is broken.
Static checklists can't keep up with dynamic systems. Evidence no longer lives in documents-it lives in data, behavior, and patterns. And AI is changing not just how audits are performed, but how assurance itself is defined.
AI for Security Auditors is not a guide. It's a shift in thinking.
Written from the perspective of a seasoned cybersecurity auditor and enterprise architect, this book cuts through theory to reveal how modern audits actually fail-and how they must evolve.
Inside, you'll discover how to:
Move from evidence collection to evidence intelligenceDesign AI-assisted control validation systemsDetect false assurance and hidden audit risksBuild continuous, real-time audit frameworksCreate maturity models that reflect operational truthBalance AI insights with human accountability and trustThis is for auditors who know the old way no longer works-and want to lead what comes next.
If you're in cybersecurity, GRC, risk, or compliance, this book will change how you think about assurance.
Not incremental improvement.
A complete reset.