Case Study: A global retail bank saves $18M in fraud losses with Glassbox
Key results
The challenge
The bank could not detect sophisticated client-side fraud in real time. Traditional fraud tools missed remote-access scams and DOM manipulation, leaving visibility gaps, and manually reviewing sessions was time-consuming and did not scale.
The solution
The bank deployed Glassbox's AI-powered fraud detection suite with real-time behavioral analytics and session replay, monitoring on-screen content changes instantly to flag suspicious behavior such as DOM manipulation and erratic navigation.
“This has generated some of the best success stories we've heard in our department.”
The results, in context
Glassbox reports the bank saved $18 million in fraud losses within seven months. Fraud analysis time was reduced from hours to seconds, with real-time detection of DOM manipulation attempts.