Webinar Description
Key Takeaways
- Addresses how fraud teams can distinguish coordinated attacks from legitimate holiday traffic surges
- Covers peak-season fraud patterns including loyalty account takeover, card testing, chargebacks and promotional abuse
- Explores device and behavioral signals for session trust assessment
- Designed for ecommerce fraud prevention, payments and risk management professionals
- Features perspectives from both a device intelligence vendor and a retail enterprise practitioner
About the Event
Preparing for Peak Season: AI Fraud, Trust, and the Holiday Shopping Rush is a virtual webinar hosted by Fingerprint on September 30, 2026. The session examines the challenges retailers and fraud teams face when high-volume shopping periods create cover for sophisticated fraud attacks. With global ecommerce fraud losses exceeding $138 billion in 2025 and 72% of merchants identifying AI-driven fraud as their primary concern, the webinar focuses on practical strategies for protecting revenue during peak transaction periods.
Peak-Season Fraud Patterns and Detection
The webinar addresses specific fraud patterns that intensify during high-traffic periods: loyalty account takeover, card testing, chargebacks and promotional abuse. These attack types exploit the same transaction volume surges that pressure fraud teams to approve orders quickly. The session examines why credential-based controls alone provide an incomplete picture of trust and how device and behavioral signals can strengthen session-level risk assessment.
Balancing Fraud Prevention with Customer Experience
A central theme is the tension between fraud prevention and customer friction. According to data cited in the event, 58% of shoppers abandon transactions when they encounter difficulty at login or verification. The discussion covers approaches for reserving friction for genuinely suspicious sessions while allowing legitimate customers to proceed without unnecessary obstacles. The webinar also addresses moving risk decisions upstream of checkout and using persistent device and session context to enhance existing fraud detection and machine learning systems.
Speakers
Catherine Woneis, Vice President of Product at Fingerprint, brings over 25 years of experience in product marketing and product management across B2B SaaS companies. Her background includes big data, machine learning and data analytics.
Hina Virani, Solutions Architect for Enterprise Payments and Fraud Protection at an athletic apparel company, provides the practitioner perspective. Her expertise spans open banking, real-time payments, fraud modernization, card issuing, merchant settlement, dispute management and payment processing across global networks. She brings experience from a retail environment where holiday traffic, loyalty activity and buy-online-pick-up-in-store (BOPIS) orders surge simultaneously.
Who Should Attend
The webinar is designed for fraud prevention teams, ecommerce and retail operations professionals, payments and risk management departments, and product managers and technology leaders in retail and ecommerce. The session includes a live Q&A segment.