The Fraud Boxer Podcast

Everyone in fraud and risk is building AI agents. Almost nobody is asking the harder question: if every team has access to the same models, what's left that's actually yours?
 
In this episode of Fraudboxer, Jordan sits down with Richard Meng, founder and CEO of Roe AI (YC-backed, San Mateo), and Tal, an 18-year risk leader who has built and scaled programs across fintech, payments, lending, issuing, marketplaces, and merchant environments. Together they make the case that AI itself is becoming a commodity — and that the real competitive advantage is structured risk knowledge: the fraud typologies, investigation frameworks, and institutional expertise that live in your team's heads, in Jira tickets, and in Slack threads where no agent can reach them.
 
The conversation covers why single signals like velocity, device mismatch, and risky IP no longer mean what they used to; why fraud teams stay permanently reactive; what happens to entry-level analyst roles as AI absorbs L1 work — and what new roles replace them; whether rules and machine learning models are dying or just getting a makeover; and why the sub-300ms reality of real-time fraud decisioning means an LLM is never going to be the thing that blocks a transaction.
 
They also get into the idea of an open, industry-wide fraud typology map — a shared taxonomy of attack patterns and recommended investigations that any team's AI agents could consume. Not a data consortium, not PII sharing, and not the kind of closed, invite-only working group that leaves newer practitioners out in the cold. Whether that can actually get built is the open question of the episode.
 
If you work in fraud, risk, compliance, AML, trust and safety, or payments — or you manage a team that does — this one reframes what "using AI" actually means. As Jordan puts it: most people say they use AI, but they're reading AI, not using it. The fraudsters figured out the difference a while ago.
 
WHAT'S COVERED
 
Why AI models are becoming a commodity, and contextual intelligence is the real moat
Fraud typologies - ATO, ACH fraud, friendly fraud, push payment fraud, triangulation schemes, return abuse, promo abuse - and why each needs its own investigation path
The medicine analogy - why the diagnostic framework beats raw intelligence
Velocity, device mismatch, and risky IP - signals that no longer mean fraud on their own
What happens to L1 analyst roles, and the new jobs that get created instead
Are rules dead? A story from inside Uber's rules engine and the Grafana dashboard that showed fraudsters reverse-engineering rules in real time
Why sub-300ms decisioning means rules and ML models aren't going anywhere
Rule performance monitoring - the thing almost nobody actually does
How Roe AI is building a shared financial crime knowledge base, and whether it should be an open standard
Where fraudsters are already outpacing defenders on AI adoption
 
LINKS
 
Roe AI: ⁠https://www.roe-ai.com⁠
Roe AI careers (they're hiring, including SMEs): ⁠https://www.roe-ai.com/careers⁠
Richard Meng on LinkedIn: ⁠https://www.linkedin.com/in/berkeleymeng/⁠
Tal Yeshanov on LinkedIn: ⁠https://www.linkedin.com/in/talyeshanov/⁠
WhoBilled.me: ⁠https://whobilled.me⁠
 
This episode is brought to you by ⁠WhoBilled.me⁠. Ever seen a charge on your statement like "POS CHECK CARD PURCHASE DEBIT * SUPERCELL" and had no idea what it was? Merchants get about 25 characters to identify themselves, your bank wraps its own labels around that, and a location field gets stapled on the end. The result reads like a ransom note — so people dispute their own kids' in-game purchases and shrug off the charges that were actually fraud. Paste the descriptor into ⁠https://WhoBilled.me⁠ and find out who really billed you, how to reach them, and what the charge was probably for.

"In crypto, if your money's gone from your wallet, everything can be gone in one second immediately."
 
Most people picture online scams as one person in a basement sending sketchy emails. The reality is far bigger and far more organized. In this episode, recorded at the Safeguard conference in Colorado Springs, host Jordan sits down with Nikita, co-founder and CEO of ⁠Chain Patrol⁠, to talk about how modern fraud actually works. We get into why stolen crypto almost never comes back, how scam operations now run like real companies with engineers and developers, and how artificial intelligence has made sophisticated attacks cheap enough to target everyday people instead of just high-value executives. Nikita also opens up about the human cost behind these operations, including trafficking victims forced to run scams against their will, and a documentary his team has been quietly working on.
 
We also discuss one of the largest crypto thefts in history, how the attackers pulled it off, and why the weakest point in nearly every story is a person rather than a piece of code. Whether you work in fraud and security or you just want to understand how to keep yourself and your family safe, this one is packed with stories you have not heard and warnings you will want to remember.
 
Visit ChainPatrol to learn more: ⁠https://chainpatrol.com⁠
 
V I D E O S T O W A T C H N E X T
 
Think you can't be scammed? Think again: https://youtu.be/bAwpKd2IlGo
 
From CIA to Cyber Intelligence: 2026 Cyber Intelligence Predictions! https://youtu.be/3gPkMfPU31c
 
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🛡️ A massive thank you to today’s sponsor, Incognia! IP addresses are constantly rotating, masked by VPNs, or spoofed by fraudsters, leaving fraud and risk teams completely in the dark about web traffic. Incognia’s ⁠Verified IP Location⁠ fixes this. Instead of relying on outdated ISP records, Incognia infers IP locations dynamically using real-world device observations to give you a live, unmaskable location layer for every single web session.
 
Catch ATOs from unexpected regions and stop VPN spoofing without hurting your good users.
 
Learn exactly where your web traffic is actually coming from here: ⁠https://hubs.li/Q04hKHN30⁠
 
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"The education itself becomes a vector of attack in some ways."
 
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Inquiries: sponsorships@fraudboxer.com
 
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"Fraudsters move upstream... We aimed all of our fraud prevention at the checkout. Where did they go? Upstream to the account access."
 
Ever wonder how cybercriminals manage to stay one step ahead of digital security? In this episode, Alexander Hall from ⁠IPQS⁠ takes you behind the scenes while we were at the Safeguard Conference in Colorado.
 
Many businesses focus all their security energy purely on the final checkout page, but the threat landscape is shifting fast. We talk about the hidden traps currently being set across the internet, why traditional security scores often miss the big picture, and how the industry is fighting back. If you want to know how your data is being targeted—and the clever network setups being used to stop attackers before they ever reach a real user—this conversation is a must-watch.
 
Whether you run an online business, work in tech, or just want to understand how the underground economy works, this interview offers a fascinating look into the future of online safety.
 
Checkout ou IPQS here: ⁠https://www.ipqualityscore.com⁠
 
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➡️ Did you catch the biggest takeaway from our IPQS interview? Fraudsters have moved upstream. They aren’t just hitting your checkout page anymore; they are targeting user accounts, deploying human-like bots, and exploiting stolen identities long before a payment is ever made—meaning that if you rely on traditional post-transaction chargeback data, you are already 90 days too late.
 
That is where IPQS comes in (⁠www.ipqualityscore.com⁠). Trusted by Fortune 500 companies, IPQS uses a global network of over 10,000 live dark web honeypots and real-time Fraud Fusion™ technology to instantly flag account takeovers, malicious residential proxies, and sophisticated botnets before the damage is done. With fully customizable dashboard risk sliders, you can easily adjust your scoring models for IP reputation, device fingerprinting, and email age based exactly on your business needs. Stop chasing chargebacks and start stopping bad actors on Day 1—visit ⁠www.ipqualityscore.com⁠ today to protect your platform!
 
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"Stolen identities are being used to create businesses, and I personally cannot imagine a level higher than that."
 
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Inquiries: sponsorships@fraudboxer.com
 
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"Something which is really nice with Visa is that for every problem that they create, they have a solution for it, but you just need to pay for it..."
 
What happens when an impromptu honeymoon scroll on Instagram leads to a complete career pivot into the world of fraud prevention? In this episode of Fraud Boxer, Jordan Harris sits down with Ben Herut, Chief of Staff at Chargeflow, to unpack the complex, fast-moving ecosystem of payment risk and dispute resolution. From the hidden operational burdens that merchants face during a chargeback surge to the psychological toll of fighting friendly fraud, this conversation breaks down why traditional methods just aren't cutting it anymore. If you've ever wondered how major financial shifts correlate directly to a rise in payment disputes, Ben's inside look from both the issuer and acquirer sides provides a rare, dual-perspective view of the industry.
 
The core of the discussion centers around the evolution of Visa's Compelling Evidence rule, shifting from its original framework to the newly updated standards. Jordan and Ben debate the strict timelines merchants now have to navigate, the nuances of cross-merchant and cross-acquirer data tracking, and how the massive looming shadow of the Visa Acquiring Monitoring Program (VAMP) changes the math for ecommerce businesses. Instead of relying on generic tech hype, the episode explores how actual data science, real-time intelligence, and post-payment risk modeling can save a business from losing both its revenue and its physical products. Stick around until the end to hear predictions on agentic commerce, changing network protocols, and how modern banking apps have made it almost too easy for good customers to act bad.
 
V I D E O S T O W A T C H N E X T :
 
How MAG is helping merchants fight back: https://youtu.be/TKMyDL6ydiI
 
Why do your sales skills suck? https://youtu.be/JLMqz0ls4gU
 
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🛡️ A massive thank you to today’s sponsor, Incognia! IP addresses are constantly rotating, masked by VPNs, or spoofed by fraudsters, leaving fraud and risk teams completely in the dark about web traffic. Incognia’s Verified IP Location fixes this. Instead of relying on outdated ISP records, Incognia infers IP locations dynamically using real-world device observations to give you a live, unmaskable location layer for every single web session.
 
Catch ATOs from unexpected regions and stop VPN spoofing without hurting your good users.
 
Learn exactly where your web traffic is actually coming from here: https://hubs.li/Q04hKHN30
 
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"Anytime that you see a surge of chargebacks, you could correlate it to a financial event in a person's life..."
 
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Inquiries: sponsorships@fraudboxer.com
 
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"We’re well past the point of just saying, 'We’re going to write killer rules and be fast.' We’re in a different space now—it’s time to grow."
 
Ever wonder how the digital cat-and-mouse game has changed since the early days of the internet? In this episode of Fraud Boxer, host Jordan Harris sits down with Seth Ruden from ⁠Transmit Security⁠ to pull back the curtain on the evolution of cybercrime. From the "wild west" of manual list scrubbing and high-stakes bank breaches to the modern era of automated identity theft, they explore why the old ways of catching bad guys are dead. You’ll learn why modern security is shifting "left"—stopping the threat at the front door before a single dollar ever moves.
 
The conversation takes a deep dive into the next frontier of risk: Agentic AI and the rise of sophisticated social engineering. Seth breaks down the "Australian Model" that's actually winning the war on scams and explains why your digital identity is the most valuable currency you own. Whether you’re curious about how AI "cockroaches" operate or want to know how banks are using predictive intent to shield customers from romance and investment scams, this episode is a masterclass in staying one step ahead of the code
 
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➡️ Special thanks to Incognia for making this episode possible and providing the cutting-edge technology needed to ground digital identity in the physical world. To learn more about how they utilize persistent device IDs to stay ahead of sophisticated evasion tactics like app reinstalls and factory resets, visit ⁠https://www.incognia.com/blog/incognias-network-graph-persistent-device-id-for-faster-fraud-investigations⁠
 
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"Is fraud just, at its core, an identity problem?"
 
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#CyberSecurity #FinTech #IdentityAccessManagement #FraudPrevention #AI #Infosec #DigitalIdentity #FraudDetection #TechTalk #IAM #Siam #FraudRisk #SocialEngineering #AccountTakeover #ATO #ScamAlert #OnlineSafety #Authentication #ZeroTrust #TransactionSecurity #CyberCrime #RiskManagement #DataProtection #FraudSquad #CyberResilience #IdentityTheft #AgenticAI #MachineLearning #GenAI #FutureOfTech #AIforGood #PredictiveAnalytics #Automation #AIsafety #SmartSecurity #TechInnovation #AIStrategy #BankingSecurity #EcommerceFraud #FinServ #CyberAwareness #DigitalTransformation #OpenBanking #CustomerExperience #IdentitySecurity #PaymentSecurity #AustraliaTech #CyberStrategy #TransmitSecurity

"In the end, we’re all trying to make a better way for consumers to shop. We want those transactions to be completed in the most easy, efficient manner possible."
Unlock the secrets of the payments industry as John Drechny, CEO of the Merchant Advisory Group (MAG), joins the show to share how collaboration between major retailers drives massive innovation. From the surprising origin story of how Walmart and other giants teamed up to form their own advocacy powerhouse to the real-world impact of eliminating antiquated chargeback rules, this conversation explores how merchants are finally getting a seat at the table with networks and legislators.
You will discover how collective influence is shaping the future of AI in retail, the push for faster payment competition like FedNow, and why the simple act of networking can solve the most complex technical hurdles. Whether you are a seasoned professional or new to the space, this episode provides an insider look at how the MAG is simplifying the consumer shopping experience and advocating for a more efficient global marketplace.
 
Links from the video:
 
Merchant Advisory Group (MAG) - https://www.merchantadvisorygroup.org
 
John Drechny - https://www.linkedin.com/in/john-drechny-480b962
 
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➡️ Special thanks to Incognia for making this episode possbile and providing the cutting-edge technology needed to ground digital identity in the physical world. To learn more about how they utilize persistent device IDs to stay ahead of sophisticated evasion tactics like app reinstalls and factory resets, visit https://www.incognia.com/blog/incognias-network-graph-persistent-device-id-for-faster-fraud-investigations
 

Another one LIVE from the MRC 2026 show floor in Las Vegas, this episode breaks down the high-stakes battle against digital deception with Super.com’s Allen Newton and the Joe Midtlyng from Incognia. Uncover why an incredible 90% of digital goods fraud might actually originate from your own users and how "fraud as a service" allows anyone to launch massive attacks without technical skills.
 
From AI deepfakes tricking ID checks to a bold "personal opinion" on how to finally penalize first-party fraudsters, this talk reveals the hidden war happening behind every click. Watch to see how top platforms use agentic tech and device signals to stay ahead of the curve and protect their bottom line.
 
Special thanks to Incognia for making this episode possbile and providing the cutting-edge technology needed to ground digital identity in the physical world. To learn more about how they utilize persistent device IDs to stay ahead of sophisticated evasion tactics like app reinstalls and factory resets, visit https://www.incognia.com/blog/incognias-network-graph-persistent-device-id-for-faster-fraud-investigations

"The great thing about the MRC is the way merchants come together to talk about the real issues of fraud and risk in an environment where they’re not competing with each other."
 
In this episode of the Payments Corner Jacqueline and Jordan step into the future of fraud prevention with this deep dive into the highlights of MRC Vegas 2026, where industry leaders tackle the explosive rise of Agentic AI and its impact on digital commerce. This episode goes beyond the hype to explore the critical shift from viewing fraud as a purely payments-based problem to recognizing it as an intricate challenge of identity and permissioning. Discover how top merchants are collaborating to dismantle sophisticated "Liar Buyer" schemes and organized fraud rings that utilize "Fraud-as-a-Service" tools to scale policy abuse at an alarming rate. From the nuances of global payment strategies to the strategic implementation of passkeys and AI-driven operations, this discussion reveals the actionable insights needed to protect your platform while maintaining a seamless user experience for good customers.
 
Special thanks to ⁠Incognia⁠ for sponsoring this episode and providing the cutting-edge technology needed to ground digital identity in the physical world. To learn more about how they utilize persistent device IDs to stay ahead of sophisticated evasion tactics like app reinstalls and factory resets, visit ⁠https://www.incognia.com/blog/incognias-network-graph-persistent-device-id-for-faster-fraud-investigations

Check if your app is vulnerable to cloning attacks at www.incognia.com/fraudboxer
 
"20% of all of the CNP transactions that we saw, like purchases that were processed on our network, were AI-related in some way."
 
Coming at you from MRC Las Vegas 2026, Jordan and Cambria are back on the mics and break down the shifting world of agentic commerce and its impact on digital fraud prevention. We explore the move from traditional machine learning to AI-driven decisions and highlighting the risks merchants face with identity loss and liability in automated checkout flows. This discussion offers an inside look at how industry leaders are building orchestration layers to secure autonomous shopping while balancing consumer ease with modern security protocols.Buy Cambria's AI Demon Hunters Mug: https://fraud-boxer.sellfy.store/p/fraud-fighting-demon-hunters/--------------------------------------------➡️ Don't let fraud eat your margins. Join the companies moving beyond passwords and pins. Visit www.incognia.com to learn how to protect your platform and your users today. Big thank you to them for making this episode possible!

Visit ⁠https://www.incognia.com/fraudboxer⁠ to request a free vulnerability test
 
In this special episode filmed live at MRC 2026 in Las Vegas, Jordan sits down with Andre Ferraz, CEO of Incognia, and Steven Coates, Ticketmaster's Director of Global Fraud Prevention, to dissect the evolving landscape of Account Takeover (ATO) attacks. The discussion centers on how modern ATOs have shifted from simple credential theft to sophisticated schemes where the account itself holds more value than a stolen credit card. You will learn why traditional security measures like SMS-based 2FA are increasingly vulnerable to SIM swapping and phishing, and how grounding digital identity in physical location behavior can provide a 99.9% accurate, frictionless authentication experience. By leveraging "smart friction" and indoor location intelligence, platforms can effectively distinguish between a legitimate user setting up a new device and a professional fraudster, ultimately reducing ATO rates to zero.
 
Ready to see where your own mobile application might be vulnerable to these sophisticated attacks? Visit https://www.incognia.com/fraudboxer to request a free vulnerability test and discover the hidden gaps in your current security stack. Whether you are battling organized device farms or looking to reduce user friction, this expert assessment will help you stay one step ahead of the fraudsters.
 
Steven Coats: https://www.linkedin.com/in/steven-coats-32b19b57/
André Ferraz: https://www.linkedin.com/in/andreferraz/