TRM Talks: Deepfakes and the Rise of AI-Enabled Crime with Hany Farid
AI reshaping society — the way we live and work. However, it is also supercharging illicit activity from deepfakes to automated fraud, large-scale cyberattacks to child exploitation. In this episode Ari Redbord, TRM's Global Head of Policy, sits down with Hany Farid, UC Berkeley professor and leading expert on deepfakes and AI-driven deception, to unpack how criminals are exploiting artificial intelligence to manipulate reality, commit crimes, and challenge global security.
Hany kicks off the episode with a jaw-dropping live deepfake demonstration, impersonating Ari in real time — a stark warning about how AI-generated identities can be used to deceive businesses, governments, and individuals. From fraudsters using deepfakes to bypass KYC and infiltrate financial institutions, to nation-state actors leveraging AI to spread disinformation and wage cyber warfare, the conversation explores the far-reaching implications of this rapidly evolving technology.Ari and Hany also discuss real-world examples of AI-driven crime, including:
- Synthetic identity fraud and deepfake scams targeting banks and crypto platforms
- Cybercriminals using AI-powered phishing and social engineering attacks
- The role of AI in North Korea’s cybercrime operations
- How deepfakes could be weaponized for political and national security threats
- The ethical and legal challenges surrounding AI-generated content
Despite the risks, there is hope. Ari and Hany dive into the critical need for AI-powered defenses, regulatory frameworks, and public-private collaboration to combat these emerging threats. They discuss the importance of blockchain intelligence, deepfake detection tools, and cybersecurity innovations in staying ahead of bad actors who are weaponizing AI. This is one of the most eye-opening TRM Talks episodes to date — don’t miss this deep dive into the intersection of AI, crime, and security.
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About Hany Farid
Hany Farid is a Professor at the University of California, Berkeley with a joint appointment in Electrical Engineering & Computer Sciences and the School of Information. He is also the co-founder and Chief Science Officer at GetReal Labs. a cybersecurity company focused on preventing malicious threats from generative AI.
Hany's research focuses on digital forensics, forensic science, image analysis, and human perception. He received his undergraduate degree in Computer Science and Applied Mathematics from the University of Rochester in 1989, and his Ph.D. in Computer Science from the University of Pennsylvania in 1997. Following a two-year post-doctoral fellowship in Brain and Cognitive Sciences at MIT, he joined the faculty at Dartmouth College in 1999 where he remained until 2019.
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