What the F Happened? Fraud and Financial Crime, Deconstructed

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...

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...

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 a...

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...

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...

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 age...

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 de...

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...

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...

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) guida...

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...

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 d...

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 reg...

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...

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 st...

NASA Federal Credit Union set out to solve a growing challenge in financial crime prevention: fraud and AML teams operating in separate systems. By partnering with DataVisor to build a unified FRAML platform, the credit union gained real-time visibility across fraud, money laundering, and account activity. In this episode, you'll learn: Why fraud and AML silos create dangerous blind spots How...

In this Webinar Highlights episode, we recap key takeaways from our recent session on the AI tools fraudsters are using in 2026 and how financial institutions can respond to the growing threat of AI-powered fraud. From autonomous voice scams and deepfake identities to search poisoning and synthetic KYC attacks, this discussion explores how generative AI is transforming the fraud landscape. You’ll...

In this Case File, we break down how a leading online service marketplace addressed sophisticated fraud threats, including account takeover (ATO), mass fake account registration, and collusion fraud.  Learn how TaskRabbit partnered with DataVisor to move from reactive fraud prevention to proactive network-based detection, protecting platform integrity, user trust, and millions of dollars in revenu...

In this month's briefing, Emily and Jeff unpack two major June 2026 compliance deadlines, including SEC Regulation S-P and Nacha's ACH fraud monitoring requirements. They explore how FedNow and instant payments are forcing financial institutions to detect fraud in milliseconds rather than days, why mule accounts remain a critical threat, and how information sharing is becoming essential to stoppin...

Every time you click "Buy Now, Pay Later," an invisible war plays out in milliseconds, and the fraudsters are organized, well-funded, and sophisticated. In this episode of What the F Happened? Fraud and Financial Crime Deconstructed , hosts Jeff and Emily break down the real engineering battle behind BNPL fraud prevention. You'll learn how unsupervised machine learning (UML) and link...

In this Analysis, we examine why fraud and AML case management systems are breaking down under the pressure of modern financial crime, and how high-performing institutions are rebuilding their operations around behavioral intelligence, explainable AI, and unified investigations.  This episode explores: The Shift to Entity-Level Investigation: Why traditional transaction monitoring is failing again...

This month, we deconstruct the massive shift toward Agentic Commerce and the $176 million regulatory wake-up call for financial institutions. We explore how Unsupervised Machine Learning (UML) enables 10-millisecond detection and why biometric injection attacks are rendering traditional authentication obsolete. In this episode, we cover Agentic Commerce : Why AI will handle 25% of e-commerce by 20...

In this episode of "What the F Happened? Fraud and Financial Crime Deconstructed," we dive into the Forrester Financial Crime Management Solutions Landscape (Q1 2026) . As digital transactions become the global standard, financial institutions and non-traditional platforms—from dating apps to gig economy services—are weaponizing data to combat increasingly sophisticated criminal networks...

In this Webinar Recap episode, we highlight key takeaways from the recent session on Agentic AI for Fraud & AML with industry experts from DataVisor, including practical insights, audience questions, and real-world examples discussed during the live conversation. You’ll hear highlights on: Why agentic AI deployments are failing in regulated fraud and AML environments The difference between AI...

In this Analysis, we examine what Claude Mythos reveals about the future of cybercrime - specifically, how a general-purpose AI unintentionally became a highly effective autonomous hacking system, exposing critical weaknesses in global financial infrastructure. This episode explores: How Mythos’ emergent capabilities—like vulnerability discovery and chaining—are redefining what AI can do without b...