Webinar to Address AI-Enhanced Fraud and Regulation Gaps

A webinar hosted with Ecommpay will gather compliance and payments specialists to examine how regulatory reform and industry collaboration could counter AI-enhanced financial fraud. Interpol reported that AI-driven scams are 4.5 times more profitable than traditional methods and that attackers increasingly target human vulnerabilities.

The session will bring together Willem Wellinghoff of Ecommpay and moderator Teresa Connors to identify gaps in regulation and industry practice that hinder a coordinated response. Panelists will review where oversight and operational barriers prevent shared prevention efforts.

Speakers will focus on a shift in fraud tactics toward psychological manipulation. Social engineering, deepfakes and AI-crafted messages are cited as methods that make scams harder for consumers and institutions to detect. Organisers say automated tools allow criminals to exploit human weaknesses at scale and that many detection signals remain fragmented across firms and sectors.

The discussion will highlight two recurring obstacles: regulatory fragmentation and limited data sharing. Multiple oversight bodies cover aspects of fraud-consumer protection, financial supervision, data privacy and law enforcement-but no single authority oversees fraud end-to-end. That creates inconsistent requirements for reporting, investigation and information exchange. At the same time, firms retain much of their fraud intelligence internally, limiting the industry’s ability to identify patterns that cross institutions.

Agenda items include potential regulatory changes to support a more unified approach while accounting for different business sizes. Measures under consideration include common reporting standards for fraud incidents, legal safe harbours to permit controlled sharing of threat intelligence, clearer rules on liability and remediation, and a tiered framework that sets minimum requirements for large institutions with scaled obligations for smaller firms.

Panelists will also consider standardised industry processes for detection and response, such as shared data formats, incident classification and automated alerts. Preparatory materials note potential benefits in speeding detection and reducing duplication, while also warning of risks such as creating single points of failure, raising false positives for legitimate customers, and increasing dependence on a narrow set of vendors.

Speakers will address legal and operational roadblocks. Data protection rules and competition law can restrict the exchange of detailed transaction and behavioural data needed to link related fraud campaigns. Cross-border jurisdictional issues complicate cases that span countries. Costs and differing technology stacks may make it difficult for smaller players to adopt common tools without financial or technical support.

The panel will examine non-profit or industry-led hubs as one model to coordinate action. A neutral entity could collect and anonymise intelligence, operate shared blacklists or indicators of compromise, and serve as a conduit to law enforcement. Questions remain about governance, funding, access controls and how to provide timely updates while complying with legal constraints.

Additional policy options under review include harmonising incident reporting timelines, defining minimum technical standards for identity verification, and establishing safe-harbour provisions to protect firms that share data in good faith for fraud prevention. Regulators may also clarify expectations for the use of AI in fraud detection and customer-facing services, including requirements for transparency in automated decisions that affect consumers.

Interpol described financial fraud as a rapidly changing transnational crime with substantial economic and human consequences and noted higher returns from AI-enhanced schemes. Organisers expect the webinar to identify practical steps and remaining tensions between the need for faster information exchange and legal limits on data sharing.