Machine learning can stamp out internal banking fraud By analyzing the behavior of staff, customer and the transaction itself, banks can spot and stop not only known fraud types but also new frauds, ...

How can banks protect against a new pandemic of fraud? As fraudsters increasingly use fake websites, emails, invoices and companies to defraud the public, banks should look at the record of AI to ...

Foiling Enterprise Payment Fraud Through Managed Learning In our new white paper on enterprise payment fraud (EPF), we explore the fastest-growing area of banking fraud today and explain ...

How to overcome overfitting in machine learning based fraud mitigation for banks AI fraud-mitigation solutions often focus on a few types of fraud and become incapable of spotting new ones – known as ...

What to look for in an anti-fraud solution The right anti-fraud solution not only cuts fraud, but lowers costs, builds and maintains trust, and protects the customer experience, writes Joël ...

Compliance of the future: Tech war on fraud Artificial intelligence and machine learning will change the face and shape of compliance and risk management departments within a decade, slashing their ...

Get in the fraudster’s mind: the way to fraud mitigation An estimated $67 billion was lost to banking fraud in 2014, with nearly 75 % of it being internal. Most alarming, the majority of this fraud ...