SEON Calls for Data Sharing to Combat AI-Driven Fraud
In an interview with FinTech Magazine, Nauman Abuzar, Risk Solutions and AML Expert at SEON discusses the mounting challenges facing financial institutions as fraudsters increasingly weaponise artificial intelligence to circumvent traditional security measures.
Intelligence sharing critical for fraud prevention
Nauman argues that the financial services industry must fundamentally reshape its approach to fraud prevention through enhanced data collaboration.
"When it comes to fraud, the intelligence and the data is key," Nauman explains.
"Companies have to adopt such solutions and such integrations and have a more consortium kind of platform where they can share data with each other to report such type of users, customers, and sharing data in a more secure manner to mitigate these type of frauds."
The concept of industry-wide data sharing represents a significant departure from traditional approaches to fraud prevention.
However, implementing such collaborative frameworks faces substantial regulatory hurdles.
"I believe achieving that would be a very challenging goal with different regulatory regimes, different regulatory requirements from each country," Nauman acknowledges.
The complexity extends beyond traditional anti-money laundering and counter-terrorism financing regulations.
"It's not limited to regulations around only AML or counteract financing or fraud, but it's broader than that. There are data privacy concerns," he notes.
AI intensifies fraud landscape challenges
"Many companies, even with anti-fraud solutions, are working every day with new fraud patterns generated through AI"
The rise of artificial intelligence has fundamentally altered the fraud landscape, creating new challenges for security professionals.
Contrary to optimistic predictions about AI's potential to reduce fraud, Abuzar presents a different assessment of current trends.
"I would hardly believe so, because I think the fraud challenges with AI are increasing rather than decreasing," he observes. "Many companies, even with anti-fraud solutions, are working every day with new fraud patterns generated through AI."
The rapid evolution of AI-powered fraud techniques presents ongoing challenges for detection systems. Abuzar describes a dynamic environment where adaptation is constant.
"I think it's going to increase, of course, although we will fight to decrease it. But I think the patterns every week, every day, every month have been evolving and increasing. So I don't think that's fully realistic."