Overview

A practical, hands-on guide to navigating deepfake technology and reducing the risks it poses to your business In Behind the AI Mask: Protecting Your Business From Deepfakes, technologist and founder of viral platform, Myster Giraffe, Carl Bogan, explains the dangers, benefits, and potential of deepfake technology. He walks you through how to stay ahead of the risks that businesses face from maliciously deployed deepfake technology, showing you exactly how the tech has evolved and the practical steps you need to take to detect deepfakes in real time and catch scammers in the act. You'll find practical strategies that will save your company time and money and protect against long-lasting reputational harms. You'll also discover early detection strategies that stop incidents before they even begin. Inside the book: The future of artificial intelligence and deepfake tech — learn what's coming next in AI innovation Techniques for embracing AI technology without running afoul of the pitfalls that come along with it Straightforward and accurate explainers of what exactly deepfakes are, how they're used (both legitimately and maliciously), and how they can harm your company An essential and timely resource for managers, executives, and business leaders, Behind the AI Mask is a must-read for everyone worried about the reputational and financial risks posed by deepfakes and those looking for tangible, practical ways to mitigate those risks.

Full Product Details

Author:   Carl Bogan
Publisher:   John Wiley & Sons Inc
Imprint:   John Wiley & Sons Inc
Dimensions:   Width: 15.80cm , Height: 2.00cm , Length: 23.10cm
Weight:   0.454kg
ISBN:  

9781394337279

ISBN 10:   1394337272
Pages:   208
Publication Date:   22 December 2025
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Forthcoming
Availability:   Awaiting stock  

Table of Contents

Introduction: The Deepfake Dilemma xv 1 The Birth of Myster Giraffe: The Spark That Lit the Fire 1 The VFX Artist Behind the Mask 6 The Super Deepfake Squad 8 The Giraffe Who Knew Too Much 13 Real-Time Deepfakes: The Turning Point 17 Trust Experiments: The Kevin Calls 22 Audience Reactions and Social Media Psychology 23 Cancel Culture’s Impact on Deepfake Comedy 25 The Ethics of Viral Manipulation 28 Lessons from Going Viral 29 What’s Next? 30 2 Very Brief History of Synthetic Media 31 The Analog Era (1870s–1980s): The First Deceptions 31 The Dawn of Digital (1980s–2000s): The Democratization Begins 43 The Deep Learning Revolution (2000s–2017): When Machines Learned to See 48 The Viral Era (2018–2023): When Business Met Deception 52 The Industrial Era (2023–Current): The New Normal 53 Conclusion: The Eternal Return 57 What’s Next? 59 3 The Double-Edged Sword: Illuminating the Duality 61 The Promise of Light 62 Restoring What Was Lost 67 The Ones We Know 69 The Torajan Reminder 70 What They’ll Say with My Voice 71 The Shadow of Deception 72 The Balancing Act 74 Just Because You Can 75 When the Joke Lands Too Well 76 The Power of Saying No 77 Shadow Can’t Exist Without Light 78 What’s Next? 80 4 The Dark Side of Innovation 81 The Trust Bias: Why We Believe What We See and Hear 82 The Perception Hack: How Deepfakes Trick Our Brains 84 The Face Trust Heuristic 84 The Voice Familiarity Effect 84 The Fluency Effect 84 The Emotion Trap 85 The Experiment: How Easily Can We Be Fooled? 85 The Politeness Barrier: Why People Refuse to Question Reality 86 The Wildest Real-Life Failures of Deepfake Detection 87 Joe Says No 87 X Marks the Spot 88 Celebrity Connections 89 Fake Endorsements 89 Deepfake Pornography 90 The Trust Shortcut: Why Deepfakes Work in Social Settings 91 When Curiosity Looks Like a Con 92 The Emotional Cost of Doubt 94 The Role of Big Tech in the Deepfake Crisis 96 Identifying the Boundaries 97 Why Social Media Fuels Deepfakes (and Doesn’t Stop Them) 101 The Policy Problem: The Rules Keep Changing 102 The Path Forward: Can We Outthink Our Own Biases? 104 What’s Next? 104 5 The Rise of Deepfake Crime 107 Trust as a Vulnerability 108 Beyond Corporate Fraud: The Wider Impact 111 A New Kind of Cybercrime 112 Trust Is the New Attack Surface 113 Human Behavior Is the Weak Link 114 The Lasting Victim Impact 116 Government Responses 118 The Evolution of Detection Tools 119 The Evolution of Access: From Experts to Anyone 120 What’s Next? 123 6 Proactive Solutions: Staying Ahead of the Curve 125 Lessons from SawStop: Preventing Disaster Before It Happens 126 Inject, Measure, Verify: The Real-time Deepfake Kill Switch 128 The Power of Simple Safeguards 133 Personal Code Words 133 Slow It Down 135 When the Law Isn’t Enough: Protecting Your Business from Deepfake Liability 137 What’s Next? 140 7 From Theory to Practice: Your 90-Day Implementation Guide 141 The First 30 Days: Foundation Building 141 Week One 142 Week Two 143 Week Three 143 Week Four 143 Days 31–60: System Implementation 144 Week Five 144 Week Six 145 Weeks Seven and Eight 145 Days 61–90: Testing and Refinement 146 Week Nine 146 Week Ten 147 Week Eleven 148 Week Twelve 148 Ongoing: Maintenance and Evolution 149 What’s Next? 151 8 The Future of Deepfakes: Where This Is Headed 153 Generative Media: Uses and Consequences 154 Three-Dimensional Education 155 The Effect on “Real” News 155 Creativity for the Masses 156 Determining the Truth 156 Avatars and Synthetic Celebrities 157 Rewriting History 157 The Future of Reality 158 Quantum Computing Speeds 160 Directing the Impact of Deepfakes 161 The Growth and Adoption Cycle 163 What’s Next? 164 9 CTRL+ALT+FAKE (Conclusion) 167 Acknowledgments 173 About the Author 175 Index 177

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Author Information

CARL BOGAN pioneered viral deepfake technology as creator of Myster Giraffe, generating hundreds of millions of views across social media. With over 20 years in visual effects for Disney, Paramount, Apple, Google, and Sony, he brings a unique perspective to deepfake defense—understanding how these illusions are crafted from the artist’s side, not the IT department. He has taught workshops internationally, including at Cisco, helping organizations see deepfake threats through the eyes of the creators who build them.

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