Fraud is not new. But the scale, speed, and sophistication have changed.
In this episode of Couchonomics with Arjun, Arjun is joined by Navin Gupta, CEO of Crystal Intelligence, and Nick Smart, Chief Intelligence Officer at Crystal Intelligence, to unpack the evolving world of crypto-related fraud, institutional risk, and the uncomfortable truth about financial crime in a 24/7 digital economy.
From the Lazarus Group and the Bybit hack to scam compounds operating at industrial scale, this conversation moves beyond headlines and into how crypto crime actually works, why velocity of money matters, and whether regulation is finally catching up.
They explore the intersection of traditional finance and digital assets, stablecoins, tokenization, AI-driven fraud, and the systemic risks emerging as crypto integrates deeper into the global financial system.
🎙️ In this episode:
• Why crypto fraud is industrialized, not amateur • The Lazarus Group and lessons from the Bybit incident • How blockchain transparency changes crime investigation • AI as a multiplier for scams and financial crime • Why 24/7 markets clash with 9–5 regulatory systems • Stablecoins, velocity of money, and systemic risk • Tokenization: real utility vs liquidity illusion • Regulatory arbitrage and geopolitical blind spots • Financial inclusion vs vulnerability in emerging markets • Scam Alert and how reporting fraud protects the ecosystem
If you care about the future of finance, financial inclusion, stablecoins, or institutional crypto adoption, this episode offers a clear-eyed view of where risk really sits.
⏱️ CHAPTERS
00:00 Fraud in the digital era and why crypto attracts it 01:00 What Crystal Intelligence actually does 05:00 Is crypto more opaque than traditional finance? 12:00 Industrial-scale scam compounds and modern fraud 16:30 The Lazarus Group and the Bybit hack 21:00 Velocity of money vs cost of fraud 26:00 Regulation catching up to digital assets 30:00 Stablecoins, custody, and institutional adoption 35:00 Exchanges, compliance, and global licensing gaps 38:00 Layer 1s, liquidity, and criminal behavior 44:00 AI, 24/7 markets, and systemic vulnerabilities 49:00 Tokenization, real world assets, and risk 52:00 Informal value transfer systems and financial inclusion 56:00 Scam Alert and collective responsibility
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