What the F Happened? Fraud and Financial Crime, Deconstructed

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...

In this Monthly Brief, we break down the most important fraud and financial crime developments from April 2026, including emerging threats, notable enforcement actions, and trends financial institutions should be paying attention to. This episode covers: The Mythos shift and the rise of autonomous AI systems capable of identifying vulnerabilities and executing multi-step fraud strategies FTC warni...

In this Analysis, we examine how online marketplaces act as early-warning laboratories for financial crime, drawing on two decades of industry experience to show why the tactics refined there inevitably migrate to banks and fintechs. This episode explores: The Economics of Abuse: Why the most effective defense is simply increasing attacker costs, forcing "lazy and cheap" fraudsters to sp...

In this Case File, we break down how multiple organizations across payments, travel, and financial services addressed large-scale coordinated fraud, ranging from from brute-force card attacks and synthetic identities to promotional abuse and B2B payment fraud, and, the approach they took using unsupervised machine learning, and the outcomes they achieved. You’ll learn: The hidden fraud patterns tr...

In this Analysis, we examine a critical question: if human trafficking operates through legitimate financial systems, how can financial institutions detect it before more harm is done? Drawing on real-world transaction patterns, AML insights, and emerging detection strategies, this episode unpacks the hidden financial infrastructure behind modern slavery. This episode explores: How traffickers exp...

In this Analysis, we examine why account takeover (ATO) in life insurance often goes undetected until after funds are withdrawn, and how modern AI-driven detection is shifting fraud prevention earlier in the attack chain. Drawing on emerging fraud patterns, digital servicing trends, and observations from financial crime teams, this discussion highlights why traditional transaction monitoring strug...

In this episode, we break down the biggest regulatory, technological, and operational shifts shaping fraud and AML in 2026. From open banking APIs and CFPB Rule 1033 to FinCEN’s beneficial ownership relief, risk-based OCC exams, and new Nacha monitoring expectations, institutions are being pushed toward a new reality: reactive compliance is no longer enough. The industry must move toward real-time...

In this webinar recap, we break down the key takeaways from DataVisor’s executive panel featuring Yinglian Xie, Brian Hughes of Affirm, Ted Josephson of Synchrony, and David Barnhardt of Datos Insights — and what their insights mean for fraud and AML teams heading into 2026 and 2027. From the AI paradox crippling defenders to the rise of "blue collar" fraud-as-a-service, this episode unp...

The ACH network is about to undergo one of its biggest shifts in decades, and many institutions aren’t fully prepared for what’s coming. In this episode, we break down the 2026 Nacha Operating Rules , what they actually require, and why they represent a fundamental change in how fraud risk must be managed across the payment lifecycle. Instead of focusing only on unauthorized transactions, institut...

In this Analysis, we examine why explainability, not just accuracy, has become the new standard for AI in fraud and AML, as regulators demand clear, defensible decision-making from financial institutions. This episode explores:  Why “the model said so” is no longer an acceptable answer under regulatory scrutiny The difference between transparency and true explainability—and why it matters in audit...

In this February Monthly Brief, we break down what Nacha’s latest guidance signals for fraud and compliance teams—and why proactive detection is quickly becoming the new baseline. From evolving ACH risk expectations to the rise of coordinated fraud and AI-enabled attacks, this episode explores what’s changing across the payments ecosystem and what financial institutions should be prioritizing righ...

In this episode of What the F Happened? Fraud and Financial Crime, Deconstructed , we go beneath the hype to examine the real plumbing of the future financial system: stablecoins. While Bitcoin grabs headlines, stablecoins now move over $300B globally — acting as the bridge between traditional banking and Web3. We break down what stablecoins actually are, why they’ve grown so fast, and how they’re...

Risk and compliance teams are often viewed as cost centers—but what if your fraud and AML infrastructure could become a growth engine? In this episode, we unpack how a leading payments processor transformed its internal risk stack into a scalable, revenue-generating product. Handling over 60 million transactions per month across 2,500+ clients, the organization replaced siloed legacy systems with...

Macroeconomic volatility, from regulatory shocks, to geopolitical fragmentation, and rising credit stress, is compressing margins, fast. In this episode, we break down why traditional, batch-based risk tools fail under volatility, and what a modern, flexible fraud and AML platform must deliver to operate at the speed of today’s financial system. You’ll learn  The 3 forces driving change The archit...