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  Video

Collaborative Frameworks Explained

A single financial institution investigating financial crime is limited to just one side of the story – to truly understand fraud and money laundering activities,... 

  Video

Verafin’s Check Fraud Consortium Analytics Solution in Action

Fraudulent checks are challenging the financial industry, with legacy approaches unable to counter the complexities of stolen and altered check fraud scams. At Verafin, our... 

  Video

Unusual Access – Reconnaissance Agent

A cybercriminal’s end goal is to siphon funds out of a victim’s online bank account. Once they gain access to the online account they will... 

  Video

Unusual Outgoing Wire – Business Agent

With criminal schemes such as Business Email Compromise a growing problem, institutions need enhanced monitoring to prevent serious loss. This short video highlights Verafin’s targeted... 

  Video

Risky Online Banking Setup Agent

Confidence scams, like romance or job scams, are a growing ploy by fraudsters to establish trust with a victim with the end goal of obtaining... 

  Video

Unusual Access – ACH Agent

Online customer accounts are a serious target for sophisticated cybercriminals looking to commit unauthorized transfers. Once an online account has been breached, money can be... 

  Video

Collaborate on Alerts with FRAMLxchange

Do you feel like you’re drowning in alerts? The bad guys out there can make your busy day even tougher, by spreading their activity across... 

  Video

FRAMLxchange Secure 314(b) Collaboration Network

This 5-minute video demonstrates collaboration tools available to any 314(b)-registered financial institution — regardless of your current fraud detection and AML system. Learn how to... 

  Video

FRAMLx: Strengthen your investigations

This short video shows you how FRAMLx combines the power of cross-institutional analysis and peer collaboration to give you a more complete picture of your... 

  Video

What is FRAMLx?

Today’s criminals are evading detection by breaking up their illicit activity across multiple institutions. How can a single institution uncover this behavior? FRAMLx can help....