This session walks through a real-world $30,000 credit card fraud investigation that turned into a model of collaboration and compliance in action.

What began as a suspected fraud case at a Las Vegas casino quickly evolved into a cross-industry effort leveraging FinCEN’s 314(b) platform, compliance insights, and law enforcement partnerships.

Attendees will learn how behavioral analysis, quick coordination, and professional networking led to a swift resolution and uncovered a first-party fraud scheme at the Credit Union.

Dark web marketplaces, low-cost AI tooling, and new injection vectors have turned generative media into a fraud accelerator.

This session shows real life examples of these attack vectors using controlled, ethical demos, and — most importantly — delivers real, implementable prevention and detection strategies for individuals and organizations.

Walk away able to spot likely abuses, harden controls, and specific takeaways that you can include in your strategy to combat deepfakes.

For years, the industry has chased the idea of a perfect, universal scam taxonomy — one structure to classify and report fraud across institutions. But while we wait, scams keep evolving, and having no taxonomy is doing more damage than using an imperfect one.

This session challenges the “wait for standardization” mindset and pushes institutions to start now with practical, logical frameworks tailored to their operations.

You still need to plan for the future: your taxonomy must adapt easily once a universal standard emerges.

We’ll break scams into meaningful components, apply flexible labels, and show how to implement a version that evolves over time.

The first rule of Agile in fraud? It’s never as clean as the playbook says. The second? Most teams won’t make a perfect transformation—and that’s okay.

Join Kyle and Anna for a candid, gloves-off look at what it really takes to bring agile principles into fraud product development.

We’ll spar over prioritization, trade jabs about roadmaps, and wrestle with how to truly partner with agile stakeholders.

You’ll leave with practical strategies to keep your fraud program strong, flexible, and ready for whatever swings your transformation throws.

Fraud doesn’t stand still — and neither can detection.

This session takes participants through the full lifecycle of a fraud pattern, from the first curious data signal to deploying and refining a production rule in a live environment. Using real-world examples and practical frameworks, attendees will learn how to turn raw insights into actionable hypotheses, measure the impact of detection rules with meaningful metrics and dashboards, and continuously incorporate investigator findings and behavioral signals to strengthen defenses.

By the end of the session, participants will have a clear, repeatable approach to translating data curiosity into scalable, adaptive fraud prevention strategies.

Most banks treat KYC and fraud as parallel tracks—regulated, procedural onboarding on one side and high-velocity threat response on the other.

But sophisticated fraudsters have already figured out how to slip through “minimum standard” KYC checks, leaving fraud teams fighting preventable losses downstream.

This session explores how institutions can dismantle the siloed model and build a unified, intelligence-driven approach. When KYC and fraud operate as one integrated engine, banks don’t just meet regulatory requirements—they outpace criminals, reduce operational drag, and dramatically improve customer trust and safety.