Thursday 25 June 2026 | 1pm - 2pm
Webinar: Transaction Forensics
AI in fraud and financial crime prevention is no longer optional.
Transaction Forensics combines Experian’s data assets with Resistant AI’s behavioural analytics to help banks and payment providers strengthen real-time fraud and AML decisioning. Rather than replacing existing transaction monitoring systems, it adds an additional layer of intelligence designed to detect suspicious activity earlier, reduce false positives, and improve compliance efficiency.
Join us to explore how this partnership can help firms bring together Experian’s external context, internal transaction data, and advanced analytics to improve precision in payment risk decisions. We’ll discuss how richer sender- and receiver-side insight can help teams identify emerging fraud patterns, strengthen trust, and reduce friction for legitimate customers.
Who should attend?
- Professionals in Fraud prevention and AML roles
- Those that work with Transaction Monitoring
- Particularly relevant for Financial services and Payments sectors
Date: Thursday 25 June 2026
Time: 1pm - 2pm
We will explore
Meet the speaker
Kathy Gormley
Head of Product - Transactions, Resistant AI
With over 12 years’ experience in RegTech and consulting, Kathy partners with financial institutions to design and deploy AML and fraud solutions in complex, high-risk environments.
As Product Lead for Transactions at Resistant AI, she focuses on transaction monitoring where scrutiny is high and errors are costly - building systems that improve detection, reduce false positives, and remain operationally viable.
Matt Fitzgerald
Product Director - Fraud, Experian
Matthew Fitzgerald is a seasoned product leader with 15+ years turning complex data, AI, and decisioning capabilities into products that deliver clear business value across fraud, data enrichment, digital identity, and decision intelligence.
Today, as Director of Product, Fraud at Experian, he leads the strategy, roadmap, and delivery of market-leading fraud prevention solutions for regulated industries, turning complex risk and identity signals into clear, actionable outcomes that reduce losses, protect customers, and enable safer, more frictionless digital experiences.
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