AI is the most effective method for improving anti-money laundering (AML) processes and efficiencies according to AML professionals, research from Feedzai, a pioneering provider of financial crime and risk management solutions.

AML ecosystem

Feedzai’s The State of Global Anti Money Laundering Compliance Report 2023 surveyed compliance professionals to discover what the biggest threats and opportunities are in the AML ecosystem. It found that 46% of AML professionals are concerned about increasingly sophisticated money laundering techniques, including generative AI. The threat from generative AI and linked technology is now the top challenge for AML professionals, overtaking regulation, cryptocurrency, and blockchain, the top threats cited in 2022.

Despite no longer occupying the top spot, crypto still remains front of mind for AML professionals. Over half (53%) of those surveyed said that the money laundering activities within their scope are predominantly linked to cryptocurrency transactions. Cryptocurrencies' anonymous and decentralized nature is being exploited to conceal the origins of illicit funds, exacerbating the challenges in detection and monitoring.

Result of AI integration

AML experts say AI and machine learning are the most useful plans for handling money laundering

As criminals utilize increasingly sophisticated technology, so too do those seeking to protect consumers. A third (33%) of AML professionals say that AI and machine learning are the most effective methods for preventing money laundering. Of those already adopting AI, 60% said that the technology has already been effective in driving efficiencies in their organization’s AML processes. 

Looking ahead, over half (51%) of respondents believe that increased use of AI and machine learning is the future of AML and KYC (Know Your Customer) programs. With the potential to instantly analyze huge data sets, AI is already helping investigators identify bad actors and diffuse threats. As a result of AI integration, see improved KYC processes, reduced false positives, and also a reduced cost burden on compliance professionals.

Author's quote

Nick Parfitt, Principal AML SME at Feedzai said, “Fraudsters are capitalizing on fast-developing technologies to trick existing AML programs, in many cases using generative AI to their advantage. Our latest report reiterates the demand from AML professionals for their organizations to adopt AI in combination with human insight as a defensive weapon to improve their compliance process and efficiencies." 

Banks and financial institutions are sitting on a wealth of data that they can use to better protect their customers and business. By taking a RiskOps approach, they can put this data to good use by creating a 360-degree view of customer risk that addresses the entire lifecycle of financial crime and compliance, – helping to stop criminals in their tracks before they can do any damage.”

Download PDF version Download PDF version

In case you missed it

How Can The Security Industry Contribute To Protecting The Environment?
How Can The Security Industry Contribute To Protecting The Environment?

When it comes to protecting the environment, the security industry has historically been perched on the sidelines. For instance, the amount of electricity that physical security sy...

Comprehensive K12 Security
Comprehensive K12 Security

For K12 education pioneers, embarking on a journey to upgrade security controls can present a myriad of questions about finding the best-fit solutions and overcoming funding hurdle...

Choosing The Right Fingerprint Capture Technology
Choosing The Right Fingerprint Capture Technology

Choosing the appropriate fingerprint technology for a given application is dependent on factors including the required level of security and matching accuracy, the desired capabili...