AI for RegTech Is Great, but Remember the Door Swings Both Ways

Artifical Intelligence

Artificial Intelligence

AI RegTech is helping financial institutions modernize compliance by automating regulatory processes, strengthening fraud detection, and adapting more quickly to evolving requirements. As payment volumes increase and financial regulations become more complex across global markets, organizations are increasingly turning to artificial intelligence to improve operational efficiency while maintaining compliance with anti-money laundering (AML) and know your customer (KYC) obligations.

The combination of AI and regulatory technology offers significant advantages, but it also introduces new challenges. As financial institutions deploy machine learning to combat fraud and automate compliance, cybercriminals are using many of the same technologies to develop more sophisticated attacks. Success increasingly depends on combining intelligent automation with continuous monitoring, frequent model updates, and human oversight.

This article indicates that using AI to detect fraud and automate regulatory oversight will prevent fraud and reduce costs. I can’t argue against this as Mercator currently tracks more than 300 RegTech innovators. However, we also know criminals use AI which indicates that your business solution needs to be prepared for the attack.

This implies operational data collected in near real time from multiple countries, company types, and business activities. It also implies frequent updates to the platform so your company remains inoculated against newly observed criminal activities:

“Given how pervasive digital crime is, the overall trajectory of the payments industry might seem counter-intuitive. More transactions are taking place online than ever before, meaning that finding fraudulent transactions is like finding a needle in a haystack that keeps growing. With millions of transactions being processed each day comes the need for regulation, so everyone at every step of the payment processing journey needs to ensure that they are compliant with evolving legislation. Because markets are increasingly global, they will also have to comply with potentially dozens more regulatory regimes from around the world. So how can organisations ensure that they are compliant while still giving customers the fast, pain-free services that they need? If we are to look at recent developments like the UK’s Kalifa Review of Fintech, we find that current systems like Anti-Money Laundering (AML) legislation and Know Your Customer (KYC) requirements are just the start. Regulations are going to keep evolving, Fintech companies will have to evolve to keep up and new regulations will have to be created for new and innovative technologies. So, how can companies keep up?

AI and RegTech working together to prevent fraud

A new wave of Regulatory Technology (RegTech) that utilises artificial intelligence (AI) alongside human expertise can now play a major role in assisting compliance teams with, not just complying with regulations, but preventing fraud and money laundering. 

Rather than having developers rewrite systems each time legislation changes, the new breed of AI-enabled RegTech can ‘learn’, interpret and comply with applicable laws, including KYC and AML. No system will ever be perfect – there is still the need for human oversight and there is still the possibility for criminals to find loopholes. These criminals are increasingly using technology to exploit weak links in regulatory frameworks, but as fast as they can move to deploy new schemes, machine learning systems will be able to counter them.”

The future of AI RegTech lies in balancing automation with resilience. While artificial intelligence can help financial institutions improve fraud detection, streamline compliance, and respond more quickly to changing regulations, organizations must also recognize that threat actors are leveraging AI to evolve their tactics.

Maintaining effective AI-driven compliance programs requires more than deploying advanced technology. Financial institutions should continuously update models, monitor emerging fraud patterns across markets, and pair machine learning with experienced compliance professionals to stay ahead of increasingly sophisticated financial crime.

Overview by Tim Sloane, VP, Payments Innovation at Mercator Advisory Group

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