Real-world insights from teams tackling airline fraud
Fraud in aviation continues to evolve, from synthetic identities at sign-up to automated card testing and account takeover.
SEON is proud to sponsor the Global Airline Fraud Prevention Group (GAPFG) Conference, joining airline fraud and risk leaders to share practical perspectives on how AI and machine learning are shaping the next phase of fraud prevention across the passenger journey.
We work with leading airlines to detect risk earlier, adapt to emerging fraud patterns, and reduce manual review — without adding friction for legitimate customers.
🎤 Speaking Session: AI & Machine Learning: How analysts stay ahead of evolving fraud
Wednesday 29th April | 12pm - 1pm
AI and machine learning are now central to modern fraud prevention — but real impact comes from how they support fraud analysts, not replace them.
In this session, we’ll discuss how leading fraud teams are using ML to surface risk earlier in the customer journey, respond faster to new fraud patterns, and maintain control through explainability and human oversight.
Practical takeaways
- How ML supports earlier fraud detection at onboarding, not just after losses occur
- Where supervised and unsupervised models add the most value in day-to-day operations
- How to reduce review time while keeping analysts in control of decisions
- Why feedback loops and explainability are critical to long-term model performance
