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 DEFEND by DataVisor, with 33 episodes on record and a Required Pod Score of 80. PitchCentric scores this show on Booking Probability, Listen Score, and live audience signals refreshed every 24 hours.

DEFEND by DataVisor hosts What the F Happened? Fraud and Financial Crime, Deconstructed, a business show with 33 episodes published.

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  Episode #32

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

  Aug 17, 202619 minS1

  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 Playbook DEFEND Training

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  Episode #31

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

  Aug 10, 202622 minS1

  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 fraudsters How consortium intelligence and unsupervised machine learning help identify emerging threats and sleeper accounts How 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.

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  Episode #30

  Monthly Brief - August: AI Fraud War

  Aug 3, 202621 minS1

  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 AI Screen Before Money Moves DataVisor Earns Triple Recognition for AI-Powered Financial Crime Prevention Agentic AI & The Fraud Lifecycle: What Every Risk Leader Needs to Know [Webinar] From Intent to Execution: Transforming the Fraud & AML Lifecycle with Agentic AI The Polymorphic AI Fraud Playbook The Playbook to Stop Real-Time Crime Trust at Scale: Multi-Agent Orchestration for Fraud, Investigation, and Reporting

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  Episode #29

  Webinar Highlights - Transforming Fraud and AML Workflows with Agentic AI

  Jul 27, 202618 minS1

  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 gap How analysts can use natural language to create, test, and deploy fraud rules in minutes instead of weeks Why 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 AI Agentic AI & The Fraud Lifecycle: What Every Risk Leader Needs To Know

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  Episode #28

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

  Jul 20, 202620 minS1

  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/

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