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Generative AI has made it possible to create convincing photographs of events that never happened, documents that never exist...
Only one of seven commercial document validation systems evaluated by the U.S. Department of Homeland Security (DHS) met all...
AI agents introduce a new wrinkle into digital trust: a legitimate user can direct a legitimate agent to take an action that...
Pay stubs remain one of the most common ways for people to demonstrate employment and income. They are also relatively easy t...
Invoice fraud is particularly dangerous because a fraudulent payment can look remarkably similar to a legitimate one. An invo...
Account takeovers (ATO) remain one of the most significant forms of identity fraud in 2026. In 2025, more than 6 million U.S...
For years, organizations evaluating identity verification solutions have focused on a familiar set of criteria. Accuracy rate...
For years, document fraud has largely been a visual problem. Fraud analysts learned to look for blurry fonts, mismatched type...
For years, fraud prevention has been a balancing act. Tighten security too much and legitimate customers abandon transactions...
When we launched the FREUID Challenge earlier this year, our goal wasn’t simply to host another machine learning compet...
Fraud is changing faster than most organizations can adapt. Generative AI has lowered the barrier to creating convincing fake...
Fraud prevention teams face a difficult balancing act. Every organization wants to stop fraudulent transactions, but overly a...
A few years ago, if you wanted to build an identity verification product, you needed specialized expertise, dedicated enginee...
Every four years, the world’s attention turns to the FIFA World Cup. Millions of fans book travel, purchase merchandise...
Recent reporting around large-scale resale markets for Anthropic Claude access exposed something much bigger than API abuse...
Join Microblink’s Fraud Lab as they trace the path from leaked identity data to the attacks it can enable and the defenses built to detect them.
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