TEST: The State of Document Fraud 2026: What 170M+ Documents Reveal About Professional vs. Amateur Attacks - Copy

Not all document fraud is created equal. Analyzing over 170 million documents across 135 countries reveals a critical gap that most fraud teams miss: the difference between crude amateur edits and sophisticated professional attacks—and why that distinction determines whether your controls hold or break.

While basic forgeries get caught easily, professional fraud operates at industrial scale using coordinated networks, metadata scrubbing, and gen AI tools that bypass traditional checks. Without understanding this sophistication gap, teams build policies that catch the obvious while missing the attacks that actually cost money.

Join Joe Lemonnier, Director of Product Marketing, and Jan Syrinek, Head of Product, as they unveil findings from the industry's most comprehensive document fraud analysis. You'll see what professional serial fraud actually looks like, where gen AI fraud is concentrated, and how to build risk policies that match the real threat landscape.

Here's what you'll learn:

• How to distinguish professional from amateur fraud in your data—and why this changes your detection strategy, automation thresholds, and resource allocation
• What kind of fraud your specific sector is exposed to—which document types are targeted, what kind of tactics are used, and what this means for your controls
• What industrial-scale serial fraud looks like in practice—cluster patterns, campaign durations, and attack bursts that reveal coordinated fraud operations
• How to build document risk policies that match 2026 threats—moving beyond simple checks to frameworks that address professional attack patterns
• 2026 threat predictions based on 170M documents—where fraud is headed and what to prioritize in your prevention roadmap

Register today for our February 18th session, or to receive access to the recording after the event.