What the F Happened? Fraud and Financial Crime, Deconstructed

DEFEND by DataVisor
  • 5.0 (3)
  • BUSINESS
  • UPDATED WEEKLY

Stay on top of fraud and financial crime—wherever you are. What the F Happened? Fraud and Financial Crime, Deconstructed delivers concise breakdowns of the latest fraud news, cases, and industry shifts. Each 15-minute episode cuts through complexity to turn fast-moving developments into clear insights you can act on. We’re fighting fraud every day, and this podcast breaks down what just happened, why it matters, and what you should do next.

Episodes

  1. 5D AGO

    Analysis – Account Takeover in Life Insurance

    In this Analysis, we examine why account takeover (ATO) in life insurance often goes undetected until after funds are withdrawn, and how modern AI-driven detection is shifting fraud prevention earlier in the attack chain. Drawing on emerging fraud patterns, digital servicing trends, and observations from financial crime teams, this discussion highlights why traditional transaction monitoring struggles to stop policy takeover in time. This episode explores: Why traditional transaction monitoring often misses the early signals of life insurance account takeover How ATO attacks unfold across a multi-stage “kill chain,” from credential compromise to high-value policy surrender How AI-driven behavioral and device intelligence can detect suspicious activity earlier in the digital session Read the full analysis and related research:  Account Takeover in Life Insurance: How AI Is Protecting Policyholders: https://www.datavisor.com/blog/account-takeover-in-life-insurance-how-ai-is-protecting-policyholders DEFEND Training: https://www.datavisor.com/defend-training Chapters: ​​00:00 Life Insurance ATO Fraud Story 03:25 Why ATO Targets Insurance 06:44 How Fraudsters Drain Policies 10:15 Limits of Fraud Detection 14:05 Insurance vs Banking ATO 17:48 Early ATO Warning Signals 21:34 AI for Insurance Fraud

    25 min

  2. MAR 9

    Monthly Brief: March 2026 - CFPB, FinCEN, & OCC Changes

    In this episode, we break down the biggest regulatory, technological, and operational shifts shaping fraud and AML in 2026. From open banking APIs and CFPB Rule 1033 to FinCEN’s beneficial ownership relief, risk-based OCC exams, and new Nacha monitoring expectations, institutions are being pushed toward a new reality: reactive compliance is no longer enough. The industry must move toward real-time, AI-driven defense. We also explore the growing AI readiness gap, the rise of deepfakes, synthetic identities, and coordinated fraud rings, and why many institutions are struggling to keep pace with attackers using generative AI. Along the way, we examine real-world case studies showing how organizations are reducing manual reviews, lowering customer friction, and detecting fraud in milliseconds. In this episode: Why 2026 regulatory changes are reshaping fraud and AML operations The hidden risks of open banking and API-based data access How AI is changing both fraud attacks and defenses What the “AI readiness gap” means for banks, fintechs, and credit unions Why unified fraud + AML strategies are becoming essential If you work in fraud, risk, compliance, or payments, this deep dive will help you understand the forces reshaping financial crime, and the questions every institution should be asking right now. Fraud & AML Executive Insights for 2026: https://www.datavisor.com/intelligence-center/webinars/defend-webinar-fraud-aml-executive-insights-for-2026 How a Credit Union Scaled Digital Banking While Cutting Fraud and Friction: https://www.datavisor.com/the-case-study/how-a-credit-union-scaled-digital-banking-while-cutting-fraud-and-friction New Report: AI Readiness Gap Emerging in Financial Crime Defense: https://www.businesswire.com/news/home/20260303285593/en/DataVisor-Report-Reveals-AI-Readiness-Gap-Between-Rising-AI-Driven-Fraud-and-Financial-Institutions-Defense-Capabilities The 5-Minute Fraud Strategy: How AI Is Redefining Feature Engineering for Fraud Detection: https://www.datavisor.com/blog/the-5-minute-fraud-strategy-how-ai-is-redefining-feature-engineering-for-fraud-detection Nacha Operating Rules 2026: The Complete Guide: https://www.datavisor.com/intelligence-center/ebooks/nacha-operating-rules-2026-the-complete-guide Nacha Operating Rules 2026: The Complete Set of Checklists: https://www.datavisor.com/intelligence-center/ebooks/nacha-operating-rules-2026-the-complete-set-of-checklists Get Ready for Nacha 2026:  New ACH Fraud Rules and Strategies for Compliance: https://us06web.zoom.us/webinar/register/WN_UNP-gRdmRGmxgY3bpxwyAA DEFEND Training: https://www.datavisor.com/defend-training Chapters: 00:00 Intro: The War Behind Payments 01:00 The New Fraud Landscape 04:30 Synthetic Identity & AI Fraud 08:30 Crypto, Stablecoins & Risk 11:30 Major 2026 Regulatory Changes 15:00 ACH Fraud & Nacha Rules 18:00 Unifying Fraud and AML 21:00 The Future of Fraud Defense

    23 min

  3. MAR 2

    Webinar Recap - Fraud & AML Executive Insights for 2026

    In this webinar recap, we break down the key takeaways from DataVisor’s executive panel featuring Yinglian Xie, Brian Hughes of Affirm, Ted Josephson of Synchrony, and David Barnhardt of Datos Insights — and what their insights mean for fraud and AML teams heading into 2026 and 2027.From the AI paradox crippling defenders to the rise of "blue collar" fraud-as-a-service, this episode unpacks the forces reshaping financial crime, and the strategies executives say will separate the prepared from the exposed. AI is arming fraudsters. Can banks keep up?Instant payments. Irreversible mistakes.From silos to FRAML. From manual to AI copilots.The next frontier: bots that spend your money.A concise recap of a candid, hour-long executive discussion on how AI, real-time payments, and shifting risk dynamics are redefining fraud and AML priorities in 2026 and beyond. Links to everything mentioned in this episode: DEFEND Webinar | Executive Insights 2026 2026 FRAUD & AML EXECUTIVE REPORT DEFEND Training Chapters: ​​00:00 AI Arms Race in Fraud & AML 02:16 AI Fraud at Scale 07:14 Real-Time Payments & Risk 10:46 Breaking Fraud - AML Silos 14:03 AI Co-Pilots for Investigations 17:11 Customer Friction & Defection 17:55 Agentic Commerce & KYB

    22 min

  4. FEB 23

    Analysis - NACHA 2026 Rule Changes Explained

    The ACH network is about to undergo one of its biggest shifts in decades, and many institutions aren’t fully prepared for what’s coming. In this episode, we break down the 2026 Nacha Operating Rules, what they actually require, and why they represent a fundamental change in how fraud risk must be managed across the payment lifecycle. Instead of focusing only on unauthorized transactions, institutions will now be expected to proactively detect suspicious authorized payments driven by scams and social engineering. This episode explores: Why “credit-push fraud” is driving these changes The biggest operational shift — new responsibilities for receiving banks How standardized transaction labels like PAYROLL and PURCHASE enable detection The tension between faster payments and proactive fraud prevention What happens if institutions fail to comply This episode cuts through the regulatory language to explain what really changes on March 20, 2026, and why the future of banking may look less like a passive money mover and more like an active risk guardian. Links Nacha Operating Rules 2026: The Complete Guide https://www.datavisor.com/intelligence-center/ebooks/nacha-operating-rules-2026-the-complete-guide DEFEND Training https://www.datavisor.com/defend-training Transcript https://www.datavisor.com/defend-podcast Chapters 00:00 NACHA March 2026: What to Know 01:36 From ACH Fraud to Credit Push Scams 05:15 RDFIs, Mule Accounts & Liability 08:55 Data Hygiene & Real-Time Risk 11:41 AI, False Positives & Friction 12:39 Deadlines, Liability & Enforcement 15:04 Security vs Liberty: Final Thoughts

    18 min

  5. FEB 17

    Analysis - Regulatory Expectations Around Explainable AI

    In this Analysis, we examine why explainability, not just accuracy, has become the new standard for AI in fraud and AML, as regulators demand clear, defensible decision-making from financial institutions. This episode explores:  Why “the model said so” is no longer an acceptable answer under regulatory scrutiny The difference between transparency and true explainability—and why it matters in audits The four capabilities that turn AI from a black box into a defensible control Read the full analysis and related research: https://www.datavisor.com/blog/regulatory-expectations-around-explainable-ai Chapters: 00:00 The AI Paradox 02:08 From Rules to Black Boxes 04:16 Legal Risk: Adverse Action & Bias 06:08 Transparency vs. Explainability 08:38 The 4 Requirements of Defensible AI 14:05 Building AI You Can Defend

    17 min

  6. FEB 9

    Monthly Brief: February 2026 - Nacha and Proactive Detection

    In this February Monthly Brief, we break down what Nacha’s latest guidance signals for fraud and compliance teams—and why proactive detection is quickly becoming the new baseline. From evolving ACH risk expectations to the rise of coordinated fraud and AI-enabled attacks, this episode explores what’s changing across the payments ecosystem and what financial institutions should be prioritizing right now. We cover how modern fraud programs are moving upstream, shifting from reactive investigations to real-time detection, and why flexibility across data, models, and workflows matters more than ever. Listen in for practical takeaways on: What Nacha’s updates mean for banks, credit unions, and fintechsWhy waiting for losses or claims is no longer viableHow proactive detection helps surface hidden networks earlierWhat leaders should evaluate in their fraud and AML stack this yearTranscript: https://www.datavisor.com/defend-podcast Nacha’s 2026 Operating Rules: A Simple Guide to Mastering Compliance: https://www.datavisor.com/blog/nachas-2026-operating-rules-a-simple-guide-to-mastering-compliance Case Study: https://www.datavisor.com/the-case-study/stopping-emerging-bnpl-fraud-rings-in-real-time How Macro Volatility Is Driving a Shift to Flexible Fraud & AML Platforms: https://www.datavisor.com/blog/how-macro-volatility-is-driving-a-shift-to-flexible-fraud-aml-platforms Regulatory Expectations Around Explainable AI: https://www.datavisor.com/blog/regulatory-expectations-around-explainable-ai DEFEND Training: ⁠https://www.datavisor.com/defend-training Chapters 00:00 Welcome & Introduction: The Proactive Era 02:04 The Nacha Countdown 05:14 Europe’s Compliance Crackdown  06:46 Stablecoins and Money Laundering Takedown 8:02 BNPL Uses UML to Block Fraud Rings 11:45 The AI Readiness Gap and Agility Debt

    15 min

  7. FEB 2

    Stablecoins Fraud and Regulation

    In this episode of What the F Happened? Fraud and Financial Crime, Deconstructed, we go beneath the hype to examine the real plumbing of the future financial system: stablecoins. While Bitcoin grabs headlines, stablecoins now move over $300B globally — acting as the bridge between traditional banking and Web3. We break down what stablecoins actually are, why they’ve grown so fast, and how they’re reshaping payments, compliance, and financial crime. You’ll learn: How stablecoins enable “digital cash” — and why stability is often just a promise What the Terra Luna collapse teaches us about algorithmic risk How new regulation like the GENIUS Act aims to bring order to crypto The tactics criminals use today: mixers, no-KYC exchanges, and affinity fraud Why the fiat-to-crypto on-ramp is the most critical choke point for stopping fraud How modern fraud defense relies on behavioral signals, device intelligence, and real-time decisioning We close with a bigger question: can a financial system ever be both perfectly private and truly safe? If you work in fraud, AML, payments, or fintech — this is your practical guide to where stablecoins are headed, and where risk teams need to focus next. LINKS Transcript:https://www.datavisor.com/defend-podcast Watch the original webinar: https://www.datavisor.com/intelligence-center/webinars/defend-webinar-stablecoins-and-blockchain-regulation-fraud-risk-and-decentralization DEFEND Training: https://www.datavisor.com/defend-training 00:00 Welcome & why stablecoins matter 03:51 What stablecoins actually are 05:29 Terra Luna the $50B warning 07:59 Regulation enters the chat - Genius Act 10:03 Mixers no KYC and laundering 12:12 Affinity fraud explained 13:37 The on-ramp choke point 18:08 The future of privacy vs safety

    20 min

  8. JAN 26

    Case File - Turning Risk Management Into Revenue

    Risk and compliance teams are often viewed as cost centers—but what if your fraud and AML infrastructure could become a growth engine? In this episode, we unpack how a leading payments processor transformed its internal risk stack into a scalable, revenue-generating product. Handling over 60 million transactions per month across 2,500+ clients, the organization replaced siloed legacy systems with a unified, real-time fraud and AML platform—unlocking faster threat response, lower losses, and an entirely new monetization strategy. You’ll learn how modern risk architecture turns defense into differentiation, including: Why consolidating fraud and AML into a single platform accelerates agility and compliance How ensemble machine learning (supervised + unsupervised) improves detection while reducing false positives The role of low-code workflows in empowering risk teams to respond in hours, not weeks Why multi-tenant architecture is the key to turning internal capabilities into sellable services Real-world results: 35% fraud loss reduction, 98% faster strategy updates, 4× operational capacity, and sub-day onboarding for new clients Whether you’re in fintech, payments, banking, or financial crime prevention, this episode offers a practical blueprint for converting security investments into competitive advantage—and incremental revenue. If you manage fraud, AML, risk, or P&L, this is your guide to moving beyond reactive defense toward a unified, real-time platform that protects margins while opening new growth opportunities. Transcript LINKS Real-Time FRAML at Scale: Turning Payment Risk Into Incremental RevenueDEFEND Training (00:00) From Cost Center to Growth(02:31) The Breaking Point for Legacy Risk(04:08) Four Roadblocks Holding Teams Back(07:12) Building a Unified Fraud & AML Core(09:21) The Revenue Engine: Multi-Tenancy(10:47) Results: Losses Down, Speed Up

    16 min

  9. JAN 20

    Analysis - Macro Volatility & the New Risk Stack

    Macroeconomic volatility, from regulatory shocks, to geopolitical fragmentation, and rising credit stress, is compressing margins, fast. In this episode, we break down why traditional, batch-based risk tools fail under volatility, and what a modern, flexible fraud and AML platform must deliver to operate at the speed of today’s financial system. You’ll learn  The 3 forces driving change The architectural flaws holding teams back The 5 technical pillars required to turn risk from a cost center into a margin engine. Transcript Read the full analysis: https://www.datavisor.com/blog/how-macro-volatility-is-driving-a-shift-to-flexible-fraud-aml-platforms DEFEND Training: https://www.datavisor.com/defend-training 00:00 Welcome 00:29 Shifting Financial Economics 01:42 The Triple Threat Explained 06:38 Traditional Fraud Stack Failures 09:35 Risk as a Margin Lever 14:34 Testing Platform Flexibility

    18 min

  10. JAN 12

    Monthly Brief - January 2026 Fraud & Financial Crime

    In this Monthly Brief, we break down the most important fraud and financial crime developments shaping early 2026 — and what they mean for financial institutions navigating new regulatory pressure, expanding attack surfaces, and rising expectations for real-time defense. This episode covers: Why fraud defense is entering a regulatory shift Nacha’s expanded ACH liability rules and sender-side accountability CFPB Section 1033 and how open banking changes fraud risk How some organizations are turning risk operations into revenue What stablecoins reveal about the future of transparency in financial crime Transcript Get the full January newsletter and links to all resources mentioned: https://www.datavisor.com/defend-podcast Chapters (0:00) Introduction (0:29) The new fraud landscape in 2026 (1:50) Nacha & ACH liability changes (5:12) CFPB Section 1033 & open banking (8:24 ) Turning risk into revenue (11:14) Alert summaries with AI (12:38) Stablecoins & what’s next (16:24) Closing

    17 min

  11. TRAILER

    About the Podcast

    Welcome to the fraud and financial crime podcast breaking down the real-world threats and defenses shaping today’s financial ecosystem to prepare you for what’s next.

    29 sec

Trailer

Ratings & Reviews

5
out of 5
3 Ratings

About

Stay on top of fraud and financial crime—wherever you are. What the F Happened? Fraud and Financial Crime, Deconstructed delivers concise breakdowns of the latest fraud news, cases, and industry shifts. Each 15-minute episode cuts through complexity to turn fast-moving developments into clear insights you can act on. We’re fighting fraud every day, and this podcast breaks down what just happened, why it matters, and what you should do next.

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