Matt Wilkins, Product Manager for Fraud at SymphonyAI, provides a comprehensive overview of SymphonyAI Payment Fraud . Designed for financial institutions facing sophisticated threats, Matt explains how AI-driven, real-time risk scoring helps prevent fraud losses, empower investigators, and ensure seamless regulatory alignment. From innovative behavior profiling to generative AI triage support, the video demonstrates how the software tackles fraud at scale while reducing false positives and accelerating compliance efforts.
Topics Covered
Real-time risk scoring for fraud prevention:
How the product stops fraudulent transactions before settlement
Positive financial impact of early interdiction
Facilitates accurate case documentation for internal and external reporting
Balancing fraud detection and good payments
Releasing legitimate payments with low latency
Avoiding unnecessary friction while maintaining high-risk detection standards
Scalable monitoring across digital banking channels
Emerging challenges in the evolving fraud landscape
Post-pandemic fraud surges and regulatory scrutiny
Pressure to do more with less amid rising cyber threats
Growing complexity of payments ecosystem (fintechs, payment service providers, open banking)
AI-driven detection and investigation at scale
Payment profiling with behavioral analytics, rules, and AI
55% reduction in false positives with data-driven models
Matt Wilkins is Fraud Product Manager at SymphonyAI, where he helps design advanced fraud detection solutions for global financial institutions. With over 20 years of experience in anti-financial crime technology, Matt has held senior roles in product management, engineering, and program delivery at BAE Systems, Norkom Technologies, and Thomson Reuters. Based in Dublin, Ireland, he’s passionate about building smarter, more effective solutions to help banks stay ahead of evolving fraud threats.