What the F Happened? Fraud and Financial Crime, Deconstructed

DEFEND by DataVisor
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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.

  1. 4d ago

    Analysis: Real-Time Decisioning - How Financial Institutions Stop Fraud Before the Money Moves

    Fraud moves in milliseconds. Financial institutions need to make risk decisions just as fast. In this episode of What the F Happened? Fraud and Financial Crime Deconstructed, we explore the technology and strategies behind real-time decisioning, and how banks can detect and stop fraud before a transaction is completed. We discuss how modern fraud prevention helps organizations: Make risk decisions in milliseconds across instant payment channels Combine real-time data enrichment, rules, and machine learning for faster, more accurate detection Use unsupervised machine learning to identify coordinated and previously unknown fraud patterns Bring fraud and AML intelligence together through shared data and separate workflows Modernize fraud prevention with a practical 90-day approach while maintaining governance and explainability The key takeaway: real-time fraud prevention isn't just about speed. It's about combining intelligence, resilient infrastructure, and strong governance to protect customers without creating unnecessary friction. Want to go deeper? Explore the accompanying resources and learn how financial institutions can modernize real-time decisioning to prevent fraud before the money moves. The Real-Time Decisioning PlaybookTop 10 Real-Time Decisioning Platforms For Fraud And AML In 2026⁠DEFEND Training

  2. Oct 5

    Analysis: The Fraud and AML Guide to Agentic AI Attacks

    Financial crime is entering a new era where AI agents can operate at machine speed and fraudsters and defenders are increasingly using AI against each other. In this episode of 'What the F Happened? Fraud and Financial Crime Deconstructed', we explore: How AI agents automate fraud, from reconnaissance and synthetic identities to social engineering and stolen funds. Why polymorphic attacks and adaptive AI are making traditional, rule-based defenses less effective. How financial institutions can redesign fraud and AML workflows around AI agents and real-time detection. What the future of AI vs. AI means for fraud prevention, digital identity, and financial security. Read the Blog and watch the Webinar for more insights on Agentic AI attacks. The Fraud And AML Guide To Agentic AI Attacks DEFEND WEBINAR | Agentic AI In Action: The Playbook From Best-Performing Fraud And Risk Teams⁠DEFEND Training

  3. Sep 28

    Agentic AI: Are You Ready for the Regulators?

    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 AIhttps://www.datavisor.com/intelligence-center/ebooks/the-cro-cco-guide-to-agentic-ai What CROs & CCOs Need to Know About Agentic AIhttps://www.datavisor.com/blog/what-cro-cco-need-to-know-about-agentic-ai Chapters 00:00 The agentic AI governance challenge02:45 Why traditional governance falls short04:53 When AI risks compound07:23 Five levels of AI autonomy10:30 The explainability problem11:09 How AI explanations fail12:51 From signal to evidence13:37 The Plain English Test14:56 Building an exam-ready audit trail16:30 Why human overrides matter17:36 Governance by design18:10 Knowledge Graphs and evidence19:03 Governing a digital workforce20:10 The risk of automation bias

  4. Sep 21

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

    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

  5. Sep 14

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

    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

  6. Sep 8

    Analysis - Scaling Agentic AI in Fraud & AML

    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.

  7. Aug 31

    Analysis - The Race to Outsmart Financial Crime

    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.

  8. Aug 24

    Analysis - The Real-Time Crime Playbook: Why Speed Is the New Fraud Defense

    Financial institutions are facing a growing challenge in financial crime prevention: fraudsters are moving at machine speed while traditional defenses remain slowed by delayed data, manual reviews, and outdated processes. As money moves in seconds, detecting fraud accurately isn’t enough—the decision and response must happen just as fast. In this episode, you'll learn: Why traditional fraud defenses fail when they operate slower than the threats they’re designed to stop How the three clocks of real-time fraud; decision, adaptation, and response, can expose critical gaps in financial crime defenses Why true real-time protection requires in-flight computation, deep graph analysis, automated action, and AI-powered adaptation Listen to discover how financial institutions can move beyond the illusion of real-time protection and build fraud defenses capable of keeping pace with increasingly sophisticated, machine-speed attacks. Read The Playbook to Stop Real-Time Crime to explore the strategies discussed in this episode. Sign up HERE to join our DEFEND Training

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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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