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AI Spy: Daily Summaries Delivered
by Anurag Mohapatra
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.
Latest Episodes
The most recent episodes — sign up to get AI-powered summaries of each one.
- 2 weeks ago26 min
Automation, Accountability and Agency with Vyasa Murthy
This episode explores why traditional model risk governance does not fully fit agentic AI, especially when systems can choose their own path and act at machine speed. Anurag is joined by Vyasa Murthy, CEO and founder of Venture Vertex, who explains why banks and regulated organizations need real-time control, not just logs and after-the-fact review.We discuss how agent chains create new accountability gaps, why evidence must be captured at the moment of action, and how runtime governance can become a competitive advantage as AI moves deeper into critical workflows.Key topicsIn this episode, Anurag frames the shift from AI that recommends to AI that acts, and why that changes the governance problem in regulated environments.Vyasa Murthy explains his background in enterprise technology across banking, cards, wealth, and insurance, and how years of seeing controls quietly erode led him to build Venture Vertex and VARC.The conversation contrasts classic model risk management with agentic systems, where the approved behavior is no longer a fixed function but a path chosen at runtime.Vyasa argues that logging alone is not enough because by the time an analyst reviews the record, the damage may already be done.A key example is data loss prevention: a control may start with a legitimate exception, then slowly become effectively disabled for the sake of convenience.The episode shows how chained agents can each pass their own checks while the overall outcome, such as a payment, has no single accountable owner.Anurag and Vyasa connect this to segregation of duties and the human “uneasy feeling” that often acted as an informal guardrail in manual workflows.Vyasa describes VARC as verifiable AI runtime control, designed to intervene at the moment an agent tries to act, not after the fact.The discussion introduces graduated response orchestration, moving beyond simple allow or deny decisions to options like flag, escalate, freeze, or decommission a session.The episode closes on the idea that organizations can outsource components of the AI stack, but not accountability, evidence, or the ability to prove what their agents actually did.
- Sep 8, 202630 min
Promptism with Sune Selsbæk-Reitz
In this episode, I sit down with Sune Selsbæk-Reitz, a historian whose work traces how confident, fluent language gets mistaken for reliable knowledge, a pattern he now studies in how we relate to AI. His book Promptism names and unpacks this behavior for a generative AI audience.We start with what Promptism actually means, and why a historian is the one writing about it right now. Sune walks through the Authority of Confidence, his idea that wrongness wrapped in certainty doesn't read as error, it reads as leadership. From there we get into his Delphi reframe: when the answer disappoints us, we've been trained to blame the prompt, never the tool. I bring in what this looks like on the ground in product management and marketing, from one-line-prompt PRDs to fact sheets written entirely by an LLM. We also talk about where AI genuinely earns its place, including Sune's own use of it as a search engine for his own thinking. We close on the argument from his RÆSON op-ed: that we're not just automating language, we're at risk of automating responsibility away.Links:Sune Selsbæk-Reitz LinkedIn — https://www.linkedin.com/in/suneselsbaekreitz/Sune's Substack - https://footnotesandfriction.substack.com/Promptism (book) — https://a.co/d/0eeLGN4w#Promptism #AI #Knowledge
- Jun 9, 202630 min
Vulnerability Management in the Age of AI
The security community has been sounding alarms about AI infrastructure for two years. BadHost, a critical authentication bypass discovered in May 2026 inside one of the most widely used Python frameworks on the internet, is what that alarm sounds like when it goes off. Dan Fernandez returns to AI Spy to talk about what actually happened, why the official severity rating understates the real risk, and what the broader pattern of 40-plus CVEs against MCP implementations in 2026 alone tells us about how AI infrastructure is being built. This is not a technical deep-dive. It is a practitioner briefing on the vulnerability surface that every organization deploying agentic AI is now sitting on, whether they know it or not. Show NotesDan Fernandez, cybersecurity practitioner and returning AI Spy guest.Dan has spent his career at the intersection of threat intelligence and enterprise security infrastructure. He returns to AI Spy for his second appearance having previously covered AI as an attack tool. This time the conversation flips: AI infrastructure itself is the attack surface.In this episode:Vulnerability management 101 and what fundamentally changed once AI became load-bearing infrastructure inside organisations, not just a layer on top of themWhy BadHost (CVE-2026-48710), a flaw in the Starlette Python framework used by Netflix, Uber, Microsoft and hundreds of thousands of other projects, carries a severity rating that most practitioners consider a polite fictionHow MCP servers aggregate credentials across every service an AI agent is connected to, and why that makes a single compromised server a portfolio-level exposure eventClaude Mythos found over 10,000 vulnerabilities through Project Glasswing and missed this one. What that tells us about where AI-assisted security tooling is strong and where it has genuine blind spots40-plus CVEs against MCP implementations in 2026 alone. Whether BadHost is an outlier or a pattern in how the AI infrastructure layer is being builtWhat a defensible enterprise posture actually looks like for organisations deploying AI agents, AI-generated code, and MCP-connected systems right nowLinks and References: BadHost - CVE-2026-48710 Starlette Host-Header Auth BypassDisclosing the BADHOST Vulnerability in Starlette – OSTIF.orgDan Fernández | LinkedIn
- Apr 6, 202631 min
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 timeThe 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 industryThe 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 likeHow AI has changed the operations: real-time multilingual translation, face-swapping that defeats video verification, and automated phishing site regeneration that outruns detectionThe 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 againLinks:Ling Li on LinkedIn — LING LI | LinkedInSCAM: 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
- Feb 11, 202623 min
Forensic Cyberpsychology: How AI is changing crime and human behavior
AI is changing more than workflows—it’s changing how we communicate, what we trust, and how criminals manipulate people. In this episode, I’m joined by James McDowell, Executive Director of the Cyber Crime Research Institute (CCRI) and an adjunct professor at American Military University, to unpack forensic cyber psychology: how human behavior shifts online, how “truth” gets distorted (deepfakes, social media personas), and why scam victimization is often about cognitive states and social engineering, not intelligence.We talk through the Eliza Effect (why people humanize chatbots), automation bias (over-trusting systems), and the duality of technology—how the same tools that increase efficiency can also amplify fraud and exploitation. We also dig into revictimization: how shame, underreporting, and social withdrawal can create a cycle that fraudsters intentionally “reload.”References: LinkedIn Profile - James McDowell, PhD | LinkedInAmazon Link - Mind behind the screen - https://a.co/d/09Y9lYVcCRI - Cybercrime Research Institute
- Dec 19, 202533 min
Investigating Modern Fraud: A Law Enforcement Perspective
What does financial crime really look like from the law enforcement side?In this episode, Victoria Frosch Bowes joins us to share a frontline view of modern fraud investigations — from her time as a Detective Constable working complex fraud cases, to her current role in securities enforcement.We discuss how Victoria found her way into financial crime, what makes fraud cases uniquely challenging for law enforcement, and why collaboration between police, banks, and technology providers often breaks down in practice.The conversation covers:Why financial crime investigations are more complex than many people realizeLessons from real-world fraud cases, including SIM-swap enabled schemesThe practical challenges law enforcement faces when data, timing, or context is missingWhat banks and technology vendors could do differently to support investigationsHow AI, automation, and crypto are changing fraud — for criminals and investigators alikeWhy fraud prevention can’t stop at detection aloneThis episode is a must-listen for anyone working in fraud, compliance, payments, or financial crime prevention — especially those building systems meant to support investigations downstream.Audio Credit:Music from #Uppbeat (free for Creators!)https://uppbeat.io/t/all-good-folks/w...License code: CWFYBYTSKHIO0WBU
- Dec 11, 202522 min
The Psychology of Scams
In this episode, Anurag sits down with Whistine Chai to explore the human side of scams. Whistine brings more than 17 years of experience in clinical, forensic, and industrial-organizational psychology, along with extensive field work in Singapore focused on understanding victims and offenders. Her work blends behavioral science and practical investigation, giving her a unique lens on how scams actually unfold in real life.The conversation begins with her path into forensic and behavioral psychology and the early lessons she learned while working on scam cases in Singapore. She shares how rotations and field work shaped her perspective and why being on the ground provides insights that lab research often misses.They speak at length about the behavioral and psychological markers seen in scam victims. Some traits stay stable across time. Others appear only when someone is placed under stress, fatigue, or emotional pressure. Whistine breaks down these drivers in a simple and relatable way.The episode also examines how behavioral insights can be translated into analytics, fraud controls, and early intervention strategies. This is an area both she and Anurag are deeply invested in. The discussion covers what can be operationalized today and what still belongs in the research domain.Finally, Whistine talks about her book, the motivation behind it, and the process of bringing those ideas together for a wider audience.It is a thoughtful conversation that brings psychology, fraud operations, and human insight into one place.A great listen for anyone working in fraud prevention, investigations, cybersecurity, or behavioral science.
- Nov 14, 202537 min
The Famous Fraud Guy
In this episode of AI SPY, Anurag sits down with the ever-busy Andrew Austin, a fraud prevention expert whose insights are shaped by years of experience tackling financial crime across institutions.The conversation kicks off with Andrew’s origin story—how he got into the fraud space and why curiosity is a career superpower. From there, they dive deep into:Why AI is both an advantage and a challenge in the fight against fraudHow scammers are adapting faster than ever—sometimes faster than tech teamsLessons learned from real-world investigationsHow fraudsters think, and why threat modeling must evolveAdvice for fraud fighters building detection strategiesWhy signal interpretation (not just signal collection) is the real gameThe episode wraps with a rapid fire round where Andrew shares what he’s reading, tools he’s obsessed with, and a few unfiltered opinions on buzzwords and the future of AI in compliance.Audio Credit: Music from #Uppbeat (free for Creators!): https://uppbeat.io/t/all-good-folks/w...License code: CWFYBYTSKHIO0WBU
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About AI Spy
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.
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