Join us in the world of financial crime prevention, where we delve into the powerful synergy of Artificial Intelligence and cutting-edge technology. This podcast brings expert insights, no-nonsense discussions, and deep dives into topics like Anti-Money Laundering, Payments Fraud, and more. Hosted casually and informatively, we invite A-listers from the industry to share their experience and learnings.
Host interviews historian Sune Selsbæk-Reitz about his book "Promptism," exploring how confident language masks AI errors and the risk of automating responsibility.
9 Jun 2026TRANSCRIPT
Vulnerability Management in the Age of AI
Cybersecurity practitioner Dan Fernandez discusses the critical BadHost vulnerability and the broader risks of AI infrastructure with host [Host Name], offering insights into securing agentic AI deployments.
6 Apr 2026TRANSCRIPT
The Other End of the Wire
Most of us in fraud prevention have never spoken to someone who has been inside a scam compound. Ling Li has. A Research Fellow at the University of Melbourne with a decade in law enforcement experience and field roles across the ICRC, UNHCR, and the University of Liverpool's Modern Slavery Research Centre, Ling co-authored SCAM: Inside Southeast Asia's Cybercrime Compounds — one of the most rigorous accounts of how these operations actually work. In this conversation, she traces the 30-year lineage of the industry from Taiwan to Fujian to militarized compounds across Cambodia and Myanmar, unpacks the victim-offender overlap that makes conventional law enforcement responses inadequate, and explains how AI has expanded the operational reach of these networks in three specific ways. She also raises an alarm that the current crackdown is generating a new crisis: thousands of survivors stranded without shelter or repatriation support, being recycled back into the same compounds. Fraud is a human problem. This episode is the evidence.In this episode:
How Ling discovered the scam compound world in Cambodia in 2022 while researching bride trafficking — and why almost no international organisations were responding to Chinese victims at that time
The 30-year arc from 1990s Taiwan phone fraud to Fujian scam towns to today's militarised, multi-continental operations — and why every crackdown relocates rather than eliminates the industry
The victim-offender overlap: four archetypes from pure criminal to fully coerced victim, why the majority fall in between, and what a proportionate law enforcement response looks like
How AI has changed the operations: real-time multilingual translation, face-swapping that defeats video verification, and automated phishing site regeneration that outruns detection
The post-crackdown crisis: thousands of survivors sleeping on streets across Southeast Asia, no food, no shelter, no repatriation — and being approached by traffickers offering the cycle again
Links:
Ling Li on LinkedIn — LING LI | LinkedIn (https://www.linkedin.com/in/ling-li-459637155/)
SCAM: Inside Southeast Asia's Cybercrime Compounds, Verso Books — Amazon.com: Scam: Inside Southeast Asia's Cybercrime Compounds: 9781804296905: Franceschini, Ivan, Li, Ling, Bo, Mark: Books (https://www.amazon.com/Scam-Inside-Southeast-Cybercrime-Compounds/dp/1804296902)
Inside a recent episode
Promptism with Sune Selsbæk-Reitz
Published 8 Sept 2026 · Transcript excerpt
[…] But what changes with AI is now the scale and consistency. Black's language model can now produce that polished confident voice instantly within seconds on almost any subject and without the hesitation that a human normally might bring to the table. And I think that is actually where the problem is because we have a tendency to read uncertainty through language. If someone hesitates just a bit or qualifies or struggles to explain something, we often become, you can say, less confident in that person. But AI has almost the opposite problem. It can sound extremely certain even when there is very little certainty underneath it. […]
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