Banks Turn to AI as Fraud Risks Rise and Regulations Tighten

As AI reshapes the financial services landscape, banks are facing a new generation of fraud threats powered by the same technologies designed to protect them. Criminals are increasingly using advanced AI tools once limited to organised crime networks, forcing financial institutions to rethink how they defend customers and comply with regulations.

According to Sam Abadir, Research Director for Risk, Financial Crime and Compliance at IDC, the sector is now engaged in a full-scale arms race.

However, he argues that success depends less on adopting the newest technology and more on governance and visibility across systems. “It’s not about having the latest tools. It’s about having the right governance and being able to observe everything that’s happening and react appropriately,” he says.

The convergence of fraud prevention and cybersecurity has exposed weaknesses in traditional monitoring approaches. System outages remain a key vulnerability, particularly when institutions fail to review historical data once services are restored. “When systems come back up, many banks don’t look backwards to identify fraud events,” Abadir explains. “That creates an open door.”

Joe Murin, Solutions Architect for Cybersecurity at Elastic, notes that many organisations struggle with detecting gaps in log data rather than full platform failures.

Modern security platforms can automatically identify missing data and retroactively apply detection rules, helping banks maintain coverage even during disruptions.

Regulation is accelerating organisational change. The European Union’s Digital Operational Resilience Act is pushing banks to break down silos between fraud, cybersecurity and data teams, requiring unified visibility and faster incident reporting. Murin says integrated platforms also simplify compliance by enabling faster responses to regulatory queries.

Emerging threats such as synthetic identities further underline the need for unified intelligence. By combining behavioural analytics, unsupervised machine learning and generative AI, banks can detect subtle fraud patterns and connect disparate indicators into coordinated campaigns.

As AI-driven fraud grows in scale and sophistication, financial institutions that unify defences and governance will be best positioned to stay ahead.