Explore the tangible benefits of AI-driven fraud detection, from improving operational efficiency and reducing false positives to mitigating risk.
Payment fraud is expected to continue increasing and is projected to cost $40.62 billion in 2027 – 25 percent higher than in 2020.
The introduction of real-time payment rails and new payment formats has transformed the ecosystem and further accelerated fraud risks.
In this webinar, our panel of experts explore the potential for AI-driven fraud detection to evolve with fraud risks and maintain pace with evolving fraud methodologies – in turn revolutionizing fraud prevention strategies. The panel consider:
- The problem, the challenge, and the outlook of fraud today.
- How AI algorithms can adapt, update and evolve to keep up with fraudsters, and identify illicit activities on an unprecedented scale
- The tangible benefits to organizations and consumers, and potential risks that need to be considered
Speakers includes
Alia Mahmud
Regulatory Affairs Practice Lead
ComplyAdvantage
Todd Raque
Managing Director – Financial Crimes and Fraud Solutions
Treliant
Garrett Laird
Director – Decision Science
Amount
Sandra Peaston
Director of Research and Development
Cifas
