"Data Security in the Age of AI is a blend of vision and pragmatism。 It not only explains the risks but also provides a road map for managing them。 Anand provides real world examples to illustrate the concepts in the book。 This book is a critical strategic tool for those implementing AI and Data programs。" —Justin Hadley， Deputy CISO， OnePay

"Few can see around the corners like Anand。 With clear insights from both experience and ethics， this book lights the way for smart， secure AI leadership。" —Aaron Rinehart， Oracle Safety Leader and Author of Security Chaos Engineering

"In my role as a VC and Board Member， I am privy to the rapid pace with which AI is being deployed in enterprises。 It brings strong efficiencies， but also significant complexity and sometimes， chaos。 Data Security in the Age of AI is the first book to tackle this challenge head on。 Anand breaks down this complexity and offers practical guidance on how to manage it。 He reminds us that Data is the foundation of good AI， and securing it is essential for responsible innovation。" —Leo Casusol， Managing Director， Forgepoint Capital

"As a Chief Data Officer， I’ve repeatedly seen how the absence of strong data governance undermines the quality and reliability of AI and data-driven systems。 This book is an essential guide for cutting through vendor hype and staying focused on what truly high-quality data and the responsible use of AI。” —Anil Earla， Chief Data and Analytics Officer

In today’s hyperconnected world， data is the new currency and artificial intelligence is reshaping how it’s created， accessed， and exploited。 But as AI accelerates innovation， it also introduces unprecedented risks to your organization’s most valuable its data。

Data Security in the Age of AI is a no-nonsense， practical guide for security leaders， IT professionals， data scientists， and executives navigating this volatile new landscape。 Written by a seasoned CISO and AI practitioner， this book cuts through the hype and headlines to deliver real-world strategies for protecting sensitive information in the age of generative AI， LLMs， and autonomous systems。

Inside， you’ll learn how

Recognize how AI expands the data attack surface， and how to shrink itApply Zero Trust principles to data and AI workflowsDiscover， classify， and map your data to real-world riskDetect and respond to AI-specific threats like prompt injection， model poisoning， and shadow AISecure your AI pipelines without slowing innovationBuild an enterprise-wide culture of responsible， AI-aware data practicesEvaluate and select modern data security platforms with confidenceAlign governance， compliance， and third-party access with evolving global regulations
From technical controls to cultural transformation， this book offers a full-spectrum playbook grounded in real-world examples， proven frameworks， and clear takeaways。 Whether you're leading AI adoption， protecting customer data， or shaping your organization’s security posture， this book will help you build smarter defenses， foster trust， and stay ahead of the threats redefining your industry。

If your organization handles data， and is exploring or already deploying AI， you can’t afford to wait。