What the F Happened? Fraud and Financial Crime, Deconstructed

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.

What the F Happened? Fraud and Financial Crime, Deconstructed is a business podcast hosted by Unknown Host, with 39 episodes on record and a Required Pod Score of 80.

Unknown Host hosts What the F Happened? Fraud and Financial Crime, Deconstructed, a business show with 39 episodes published.

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  Episode #38

  Agentic AI: Are You Ready for the Regulators?

  Sep 28, 202622 minS1

  As financial institutions put AI agents to work across fraud and AML, regulators will want to know more than what the technology can do. Can you explain its decisions, prove it was properly tested, reconstruct what happened, and show where human accountability begins and ends? We break down the governance questions CROs and CCOs need to address as agentic AI takes on more responsibility, including levels of autonomy, human oversight, explainability, audit trails, and what it takes to make AI-driven decisions defensible. Go deeper: The CRO & CCO’s Guide to Agentic AI https://www.datavisor.com/intelligence-center/ebooks/the-cro-cco-guide-to-agentic-ai What CROs & CCOs Need to Know About Agentic AI https://www.datavisor.com/blog/what-cro-cco-need-to-know-about-agentic-ai Chapters 00:00 The agentic AI governance challenge 02:45 Why traditional governance falls short 04:53 When AI risks compound 07:23 Five levels of AI autonomy 10:30 The explainability problem 11:09 How AI explanations fail 12:51 From signal to evidence 13:37 The Plain English Test 14:56 Building an exam-ready audit trail 16:30 Why human overrides matter 17:36 Governance by design 18:10 Knowledge Graphs and evidence 19:03 Governing a digital workforce 20:10 The risk of automation bias

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  Episode #37

  Analysis: How to Stop Fraud in 30 ms? Faster Than a Bee Flaps Its Wings.

  Sep 21, 202621 minS1

  Fraud happens in real time. Your fraud prevention needs to keep up. In this episode of What the F Happened? Fraud and Financial Crime Deconstructed , we explore what it takes for financial institutions to make fast, intelligent fraud decisions without adding friction for legitimate customers or compromising security. From processing thousands of transactions per second to connecting risk signals across payment channels, we break down how modern fraud prevention infrastructure helps organizations: Make real-time risk decisions at enterprise scale Detect suspicious behavior as it happens, not after the damage is done Connect risk signals across cards, ACH, wires, RTP, wallets, and P2P Maintain performance during transaction spikes and coordinated attacks Balance stronger fraud prevention with a seamless customer experience The takeaway? Effective real-time fraud prevention isn't just about having a smarter model. It requires an infrastructure built to deliver speed, intelligence, and resilience when it matters most. Explore the accompanying blog and ebook for a closer look at the strategies and infrastructure behind high-speed fraud prevention. High Speed Fraud Prevention At Enterprise Scale High Speed Fraud Prevention

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  Episode #36

  Monthly Brief : Federal Reserve, Nacha, and the Rise of Agentic AI in Fraud

  Sep 14, 202622 minS1

  In this Monthly Brief, we break down the most important fraud and financial crime developments from September 2026, including emerging threats, notable enforcement actions, and trends financial institutions should be paying attention to. This episode covers: Nacha's September 18th rule requiring same-day ACH credits to be available by 9 am and why it's collapsing the overnight window banks relied on for manual fraud review The Federal Reserve's 2026 Risk Officer survey, showing only 32% of institutions screen sent transactions in real time (28% for received) and nearly half catch money mule accounts only after the loss has occurred How legacy check fraud exploits gaps between mobile, ATM, and branch deposit channels and how AI-powered image analysis plus consortium intelligence closes them The 2026 Forrester Wave findings on Agentic AI, and the shift from AI as a passive "alarm bell" to autonomous agents that investigate, contextualize, and file SARs Why scaling AI agents without governance creates "orchestration sprawl," and the four pillars - context, governance, human oversight, and auditability - needed to trust the chain Get the full newsletter and links to all resources mentioned. DEFEND Podcast Detect Check Fraud with AI Agents, By The Numbers: What Forrester Wave Results Show In Practice From One AI Agent To Many: How To Scale Agentic AI Across Fraud And AML [DEFEND Webinar] Trust at Scale: Multi-Agent Orchestration for Fraud Investigation & Reporting The Unified Credit Union Risk Playbook [DEFEND Webinar] Agentic AI in Action: The Playbook from Best-Performing Fraud and Risk Teams

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  Episode #35

  Analysis - Scaling Agentic AI in Fraud & AML

  Sep 8, 202625 minS1

  Financial institutions are moving beyond isolated AI tools, but scaling AI across fraud and AML introduces a new challenge: orchestration. In this episode of What the F Happened? Fraud & Financial Crime Deconstructed, we explore what it takes to build a secure, coordinated multi-agent AI workforce without creating operational chaos. This episode covers: From one agent to many : Why specialized AI agents are better suited to the complex fraud and AML lifecycle—and why secure handoffs between them are critical. The AI control plane : How governance, context management, policy enforcement, observability, and change management can keep multi-agent systems secure, auditable, and reliable. Scaling with trust : How financial institutions can start small, automate high-friction workflows, and gradually build toward governed AI orchestration while keeping humans in control of consequential decisions. The goal isn’t to deploy more AI agents. It is to build a digital workforce you can trust. Read the blog for more insights on scaling Agentic AI in fraud and AML.

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  Episode #34

  Analysis - The Race to Outsmart Financial Crime

  Aug 31, 202626 minS1

  Financial crime is evolving at machine speed. As fraud syndicates use automation, synthetic identities, and coordinated attacks to exploit financial systems, legacy rules and siloed defenses are struggling to keep up. In this episode of What the F Happened? Fraud and Financial Crime Deconstructed, we unpack the Q3 2026 Forrester Wave™ for Financial Crime Management Solutions and explore how AI agents are reshaping the fight against fraud and financial crime. This episode covers: The rise of true AI agents: How AI is moving beyond passive detection to investigate, build detection logic, act on threats, and learn in real time. The convergence of fraud and AML: Why unified frameworks and knowledge graphs are helping financial institutions break down silos and uncover hidden connections. The future of financial crime prevention: What institutions should look for in next-generation solutions and why speed, precision, and adaptability matter more than ever. Read the Forrester Wave™ report here to discover what the future of AI-powered financial crime prevention looks like and why speed, intelligence, and adaptability are becoming essential to staying ahead of fraud.

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