The Fraud Boxer Podcast

A podcast for fraud prevention, payments, and cybersecurity professionals, hosted by people who work in the industry every day. Jordan Harris hosts, alongside co-hosts Cambria Valente ("Fraud Focus") and Jacqueline Chilton ("Payments Corner"). We bring real, hands-on experience to every conversation, along with sharp questions for our guests and honest takes on the trends shaping the industry.

The Fraud Boxer Podcast is a technology podcast hosted by Jordan Harris, with 112 episodes on record and a Required Pod Score of 80.

Jordan Harris hosts The Fraud Boxer Podcast, a technology show with 112 episodes published.

Our AI reads these to draft pitches. Use them as grounding for a pitch that cites a real guest and a specific topic.

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  Episode #108

  AI Agent Traffic Grew 7,851%. Most Websites Can't Tell

  Sep 30, 20261h 1mS5

  AI agent traffic grew 7,851% year over year, and 95% of it is landing on retail, media, and travel sites. Frank Walsh, Field CTO at HUMAN Security, joins Jordan to talk about what happens when your customers stop visiting your website and start sending AI agents to do it for them. This is a conversation four years in the making. Frank and Jordan have shared the stage at MRC three times, and this time they get into agentic commerce, bot management, and why the old "block every bot" playbook is now costing merchants sales. They cover which AI platforms are sending the most traffic (OpenAI, Meta, Anthropic, Perplexity, Google), how agents quietly run up costs on consumption-based tools, and what happens when an AI shopping agent fills in the blanks on a vague prompt all by itself. They also get into "gray hat abuse": traffic that isn't malicious but still wrecks your analytics, affiliate programs, and site performance. On the other side, if your site blocks the wrong bots, the AI agents recommending products might never see yours. Frank closes with three predictions for where agentic AI goes next. One of them will change how you think about the traffic hitting your site today. If you work in fraud prevention, payments, ecommerce, cybersecurity, or trust and safety, this one is for you. Get The 2026 State of AI Traffic & Cyberthreat Benchmark Report here: ⁠https://www.humansecurity.com/learn/resources/2026-state-of-ai-traffic-cyberthreat-benchmarks/⁠ -------------------------------------------- ➡️ See a charge on your online banking or statement you don't recognize? Find out who it is and how to get ahold of them at www.whobilled.me -------------------------------------------- “Everyone thought about bots as something we used to take tickets from people that really wanted them. Now bots are our partners in just about getting anything done." -------------------------------------------- Inquiries: sponsorships@fraudboxer.com -------------------------------------------- #AgenticAI #AIAgents #FraudBoxer #FraudPrevention #BotManagement #Cybersecurity #AgenticCommerce #Ecommerce #Payments #FraudPodcast #CybersecurityPodcast #PaymentsPodcast #HUMANSecurity #BotDetection #BadBots #GoodBots #AITraffic #AIShopping #AIShoppingAgents #WebScraping #Scraping #AccountTakeover #FakeAccounts #TrustAndSafety #MerchantRisk #PaymentFraud #EcommerceFraud #OnlineFraud #FraudFighter #RiskManagement #CyberThreats #ThreatIntelligence #AIGovernance #AISecurity #ArtificialIntelligence #AI #OpenAI #ChatGPT #Anthropic #Claude #MetaAI #Gemini #Perplexity #MCP #FutureOfCommerce #RetailTech #TravelTech #FinTech #TechPodcast #MRC

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  The Fraud Boxer Podcast

  Payments After Dark: Poolside Drinks, Pure Trust, and Scaling Fintech with Arthur Bedel from Monyz

  Sep 14, 20263 min

  When the keynotes wrap up and the jackets come off, the real payment industry shows up. Recorded poolside at ⁠Checkout.com⁠ ’s Thrive event at the Pendry in Newport Beach, Jordan sits down (stands up) with Arthur Bedel for a raw, late-afternoon chat on what actually drives results in finance tech. Ditching corporate jargon for drinks by the pool, Arthur talks straight about the business. Outside observers might think processing transactions is dry, but behind the scenes, growth comes down to culture, clever engineering, and solid trust. From quick checkouts to high-value networking, they talk about why top partnerships happen over good food and honest conversation instead of formal boardrooms. Arthur also breaks down his latest project: building a media-driven accelerator designed to take back-end infrastructure, turn it into engaging content, and grow the biggest brands in the space. Links to Arthur: Instagram: ⁠https://www.linkedin.com/in/arthur-bedel/⁠ Monyz: ⁠https://monyz.co/

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  Episode #107

  The State of Fraudcasting

  Sep 3, 202649 minS5

  Solution providers across payments and fraud prevention are launching shows right now, and that is a good thing. More voices in this space means more people learning out loud. Jordan sits down with Brian Davis to talk about what it actually takes to keep one running. This one is less about fraud and more about the machine behind the content: setting goals before you set a budget, getting marketing and the C suite aligned on what an episode is supposed to do, and what happens when a sponsor expects conversions from a campaign that was built for awareness. Brian brings the demand gen and community perspective. Jordan brings four years of running a show as a team of one. They get into the guest pool question nobody plans for, where a fraud cast should plant its flag in the funnel, why the attribution argument tends to sort itself out, and how different production models all end up working for different goals. Jordan also walks through his gear stack and the specific choices that make a show look and sound the way he wants, including the piece of equipment most people skip. If you run marketing at a vendor, host a show, appear on webinars, or are thinking about pointing a camera at yourself for the first time, there is something in here worth stealing. Topics covered: Founder led and executive led content strategy Podcast sponsorship goals, CTAs, and realistic expectations First touch and last touch attribution in B2B payments marketing Why enterprise merchants weigh fraud podcast invitations carefully Editorial independence when your show and your employer share a space Recording podcasts on the conference floor Microphones, mirrorless cameras, lighting, and audio levels for video Editing workflows, distribution, and why consistency beats production value Equipment Mentioned and Suggested: Sony a6700 - https://a.co/d/03P0tsuf Shure MV7+ - https://a.co/d/03P0tsuf Shure SM7dB - https://a.co/d/03P0tsuf Fifine Mic - https://a.co/d/03P0tsuf Other mentions: Interface for mic to computer - https://a.co/d/0fCRRpiK Cloudlifter (not needed for Sm7dB only SM7B regular) - https://a.co/d/07HYP75U Sony ZVE-10 (non usb 4k) - https://a.co/d/07HYP75U ------------------------------------ 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.

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  Episode #106

  AI Fraud Detection Is Now a Commodity — Here's What Actually Wins

  Aug 19, 202657 minS5

  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.

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  Episode #105

  The Frightening New Way Scammers Are Using AI

  Jun 30, 202640 minS1

  "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 -------------------------------------------- 🛡️ 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 ⁠https://hubs.li/Q04hKHN30⁠ -------------------------------------------- "The education itself becomes a vector of attack in some ways." -------------------------------------------- Inquiries: sponsorships@fraudboxer.com --------------------------------------------

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