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 - The Polymorphic Fraud Playbook: Defending Against AI-Driven Financial Crime

    In this analysis, we examine DataVisor's report, The Polymorphic Fraud Playbook, exploring how generative AI is breaking the traditional economics of financial crime and creating a new generation of mutating fraud risks. Drawing on DataVisor's research and practical fraud prevention strategies, this playbook unpacks what financial institutions, risk managers, and fraud teams need to know to prepare for machine-speed attacks. This podcast explores: Why generative AI is accelerating the death of repetition, rendering signature matching and static blocklists obsolete as the cost of generating unique fake identities drops to zero How polymorphic attacks - spanning deepfakes, synthetic identities, mutating documents, adaptive bots, and AI-driven social engineering, execute high-speed fraud that bypasses traditional detection methods Why effective defense requires combining unsupervised machine learning, behavioral biometrics, and cross-entity graph analysis to target underlying financial logic and disrupt fraud economics Read the full e-book here: The Polymorphic Fraud PlaybookDEFEND Training

  2. Aug 10

    Why Credit Unions Are Becoming Fraud's Favorite Target — and How They're Fighting Back

    Credit unions are facing a growing challenge in financial crime prevention: fraudsters are exploiting real-time payments, AI-powered attacks, and data gaps that leave smaller institutions vulnerable. As transactions move in milliseconds, traditional fraud detection can struggle to identify and stop sophisticated threats before the money is gone. In this episode, you'll learn: Why credit unions and mid-sized financial institutions are becoming prime targets for fraudstersHow consortium intelligence and unsupervised machine learning help identify emerging threats and sleeper accountsHow conversational AI can strengthen fraud defenses without sacrificing a seamless member experience Listen to discover how credit unions can leverage AI and real-time intelligence to fight increasingly sophisticated fraud while preserving the member experience they’re built around. Hear the full conversation between Dr. Yinglian Xie and Sarah Snell Cooke.

  3. Aug 3

    Monthly Brief - August: AI Fraud War

    In this podcast, we explore how Agentic AI is transforming fraud detection and AML operations, examining the regulatory changes, emerging AI-powered threats, and multi-agent architectures reshaping how financial institutions detect, investigate, and prevent financial crime. This episode covers: New Regulations for Real-Time Fraud Prevention: How the OCC and FDIC's updated Section 314(b) guidance and the proposed Stop Payments Fraud Act give financial institutions greater authority to share fraud intelligence in real time and temporarily hold suspicious transactions before funds are lost.Why Static Fraud Detection Is No Longer Enough: How polymorphic, AI-generated fraud continuously changes its behavior to evade traditional rules, forcing institutions to adopt real-time, unsupervised machine learning capable of making decisions in under 100 milliseconds.The Rise of Multi-Agent AI in Fraud & AML: How specialized AI agents are working together across detection, investigation, reporting, and compliance to automate complex workflows while keeping humans focused on governance, oversight, and orchestration rather than manual decision-making.Get the full newsletter and links to all resources mentioned: Turn Insights into Action with AIScreen Before Money MovesDataVisor Earns Triple Recognition for AI-Powered Financial Crime PreventionAgentic AI & The Fraud Lifecycle: What Every Risk Leader Needs to Know[Webinar] From Intent to Execution: Transforming the Fraud & AML Lifecycle with Agentic AIThe Polymorphic AI Fraud PlaybookThe Playbook to Stop Real-Time CrimeTrust at Scale: Multi-Agent Orchestration for Fraud, Investigation, and Reporting

  4. Jul 27

    Webinar Highlights - Transforming Fraud and AML Workflows with Agentic AI

    In this Webinar Highlights episode, we recap key takeaways from our recent session, From Intent to Execution: Transforming the Fraud & AML Lifecycle with Agentic AI, where we explore how financial institutions can operationalize AI to combat increasingly sophisticated fraud while maintaining governance, transparency, and human oversight. You'll hear highlights on: Why AI-powered fraud is outpacing traditional defenses—and how Agentic AI helps financial institutions close the execution gapHow analysts can use natural language to create, test, and deploy fraud rules in minutes instead of weeksWhy unified data, governed AI workflows, and human-in-the-loop decision-making are essential for scaling AI across fraud and AML operations Watch the full webinar and access related resources: From Intent To Execution: Transforming The Fraud & AML Lifecycle With Agentic AIAgentic AI & The Fraud Lifecycle: What Every Risk Leader Needs To Know

  5. Jul 20

    Forbes Analysis - Your Fraud Stack Was Built For Humans: Now What?

    In this Analysis, we examine why fraud prevention systems built for human-scale threats are no longer sufficient in the age of AI-driven attacks, and how organizations can evolve their fraud stack to defend against machine-speed fraud without sacrificing customer experience. This episode explores: Why Legacy Fraud Stacks Are Falling Behind: How rule-based systems and traditional risk models were designed for human attackers, why they struggle against AI-powered fraud, and where the biggest gaps exist today. The Rise of Machine-Speed Fraud: How generative AI and automation are enabling attackers to scale social engineering, account takeovers, and synthetic identity fraud faster than ever before and what that means for defenders. Building the Next Generation of Fraud Defense: Why organizations need adaptive, AI-powered detection, real-time decisioning, and continuous learning to stay ahead of evolving threats while reducing friction for legitimate customers. Read the full Forbes article and other resources: https://www.forbes.com/councils/forbestechcouncil/2026/07/15/your-fraud-stack-was-built-for-humans-now-what/

  6. Jul 13

    Monthly Brief - July: Fraud in the AI Era

    In this Monthly Brief, we break down the most important fraud and financial crime developments from July 2026, including emerging threats, notable enforcement actions, and trends financial institutions should be paying attention to. This episode covers: The Death of Static Rules and the SEC's $7.5M Fine Against Merrill Lynch: How rigid risk thresholds create dangerous blind spots, and why regulators are now treating outmoded rules as a form of compliance negligence.The Historic Bank Secrecy Act Overhaul: A deep dive into the Federal Reserve and FinCEN’s massive regulatory shift demanding dynamic, real-time risk allocation and integrated Counter-Terrorism Financing (CFT) frameworks.AI vs. AI Warfare (Synthetic Identities & Agentic AI): How fraudsters are using generative AI to fabricate entirely new human identities to bypass KYC, and how institutions are fighting back with unsupervised machine learning and Agentic AI defenses. Get the full newsletter and links to all resources mentioned: 1. Case Study - NASA Federal Credit Union Modernizes Fraud & AML with a Unified FRAML Platform 2. PR - NASA Federal Credit Union Awarded Celent Model Risk Manager with DataVisor’s AI-Native Real-Time Platform 3. E-Book - OSFI Compliance Readiness Assessment 4. E-Book - Case Management Assessment 5. Blog - OSFI 2026 Compliance: How Canadian Fraud and AML Teams Are Handling Dual-Regulator Scrutiny 6. Webinar - DEFEND WEBINAR | AI Tools Fraudsters Use - 2026 Edition 7. Webinar - DEFEND WEBINAR | From Intent to Execution: Transforming the Fraud & AML Lifecycle with Agentic AI 8. DEFEND Training

  7. Jul 6

    Forrester Trend Report - Managing AI Agent Commerce

    In this Analysis, we examine Forrester's Trend Report, Managing AI Agent Commerce Fraud, exploring how AI-powered shopping agents are reshaping digital commerce while creating a new generation of autonomous fraud risks. Drawing on Forrester's research and practical fraud prevention strategies, we unpack what financial institutions, merchants, and fraud teams need to know to prepare for AI-driven commerce. This episode explores: Why AI agents are accelerating the shift from business-to-consumer to business-to-AI commerce How runaway malicious AI agents can execute high-speed, large-scale fraud that bypasses traditional detection methods Why Forrester recommends combining AI-powered fraud detection with business policies that disrupt fraud economics to build resilient defenses Read the full report here: www.datavisor.com/intelligence-center/reports/forrester-report Chapters: 0:03 Intro 2:32 Forrester Report 3:34 AI Agents in Commerce 6:11 Business-to-AI Commerce 6:59 AI Fraud at Scale 9:08 Microtransaction Fraud 11:43 Fighting AI Fraud 12:42 AI vs AI Detection 18:29 Key Takeaways

  8. Jun 29

    Analysis - OSFI 2026 Compliance

    In this Analysis, we examine how Canadian financial institutions are navigating heightened regulatory scrutiny in 2026 as OSFI and FINTRAC demand both real-time fraud detection and fully explainable AI, drawing on regulatory guidance and practical insights from fraud and AML teams. This episode explores: Why the “binder era” is over and regulators now expect live operational evidence instead of static documentationHow OSFI’s AI governance requirements are reshaping model explainability, validation, and third-party risk managementWhy unified fraud and AML operations are becoming essential to meeting dual-regulator expectations while improving financial crime detectionRead the full analysis and the related resources: OSFI 2026 Compliance: How Canadian Fraud And AML Teams Are Handling Dual-Regulator ScrutinyOSFI Compliance Readiness AssessmentChapters: 00:00 OSFI’s New Compliance Reality 02:40 The End of the Binder Era 06:07 OSFI vs. FINTRAC Demands 09:27 AI Explainability Rules 11:50 Why Black Box AI Fails 13:18 Managing Third-Party AI Risk 15:47 Breaking Down Data Silos 18:52 Is Your Bank Audit Ready? 20:44 Compliance by Design

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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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