Deepfakes and Digital Identity Verification: Understanding and Detecting AI-Generated Media
The rapid evolution of generative artificial intelligence has enabled the creation of hyper-realistic synthetic media—commonly known as deepfakes—that can convincingly mimic human appearance, voice, and behavior. While these technologies offer creative and educational opportunities, they also pose critical cybersecurity, privacy, and societal challenges. From misinformation campaigns and identity theft to fraud and reputational damage, the ability to generate deceptive digital content threatens the integrity of digital communications and public trust.
This tutorial introduces the fundamental principles of deepfake generation and detection, bridging the gap between AI research and cybersecurity practice. Participants will gain a technical understanding of how deepfakes are produced, how to recognize their artifacts, and how advanced detection tools such as IdentifAI.net can be integrated into cybersecurity workflows to authenticate digital identities and verify media integrity.
Through a combination of theoretical discussion, live demonstrations, and practical analysis, the tutorial aims to equip cybersecurity professionals, researchers, and policy-makers with the conceptual and operational tools needed to assess and mitigate the risks posed by synthetic media.