About 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.
Fraudsters are adapting at machine speed. So why does it still take financial institutions months to deploy new defenses? In this episode of What the F Happened? Fraud and Financial Crime Deconstructed, we explore how agentic AI is closing that gap and changing how fraud and AML solutions are built and deployed.
We dive into how DataVisor’s Vera Code can help organizations:
Turn requirements into end-to-end fraud and AML solutions
Build rules, decision flows, and investigator workflows faster
Adapt defenses as new threats emerge
Keep human experts in control with transparent, governed AI
The result? Faster deployment, faster adaptation, and more time for fraud teams to focus on stopping criminals—not configuring systems.
Read the blog (https://www.datavisor.com/blog/introducing-vera-code-the-ai-agent-that-builds-complete-fraud-and-aml-programs-in-days) and the playbook (https://www.datavisor.com/intelligence-center/ebooks/use-ai-to-deploy-fraud-aml-solutions-in-days-not-months) to learn how agentic AI is transforming fraud and AML deployment.
Blog - Introducing Vera Code: The AI Agent That Builds Complete Fraud And AML Programs In Days (https://www.datavisor.com/blog/introducing-vera-code-the-ai-agent-that-builds-complete-fraud-and-aml-programs-in-days)
Playbook -
Use AI To Deploy Fraud & AML Solutions In Days, Not Months (https://www.datavisor.com/intelligence-center/ebooks/use-ai-to-deploy-fraud-aml-solutions-in-days-not-months)
19 Oct 2026
Analysis - Human or Agent? The New Era of Device Intelligence
AI agents are moving beyond chatbots. They can now navigate websites, complete forms, and initiate financial transactions; creating a new challenge for financial institutions: how do you know whether a person or an AI agent is behind a high-value digital interaction?
In this episode of What the F Happened? Fraud and Financial Crime Deconstructed, we explore how behavioral intelligence can help distinguish humans from AI agents and protect digital financial experiences without blocking legitimate automation.
We discuss how modern AI-agent detection can help organizations:
Identify AI-driven activity through behavioral patterns rather than traditional device fingerprints
Analyze mouse movements, keystrokes, and other behavioral signals while preserving user privacy
Distinguish between legitimate customer-approved AI agents and malicious automated activity
Use behavioral scores as a risk signal to apply the right level of friction at the right time
Combine AI-agent detection with real-time risk intelligence to prevent account takeover and automated fraud
The key takeaway: as AI agents become part of everyday digital and financial interactions, security systems need to understand not just who is connecting, but how they are behaving.
Want to go deeper? Read the blog (https://www.datavisor.com/blog/ai-agent-detection-how-datavisor-dedge-tells-people-and-ai-agents-apart) to learn how real-time decisioning can help financial institutions detect and stop fraud before the money moves.
12 Oct 2026
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 Playbook (https://www.datavisor.com/intelligence-center/ebooks/the-real-time-decisioning-playbook)
Top 10 Real-Time Decisioning Platforms For Fraud And AML In 2026 (https://www.datavisor.com/blog/top-10-real-time-decisioning-platforms-for-fraud-and-aml-in-2026)
DEFEND Training (https://www.datavisor.com/defend-training)
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Apple Podcasts (US)
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Spotify
4.9 / 5
7 ratings
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