Global ecommerce fraud is entering a new phase as AI accelerates both criminal activity and customer-driven abuse, according to Ravelin’s Global Fraud Trends 2026 report. Merchants now report rising losses—averaging $11.4m annually—as fraud increasingly blurs the line between external attackers and first-party customers. With 64% experiencing AI-enabled fraud and one in three lacking AI defenses, businesses are struggling to keep pace with automated attacks such as card testing, refund abuse, and account takeover. The study highlights a widening “AI gap” in fraud prevention, where merchants lag behind increasingly sophisticated, AI-powered fraud tactics impacting revenue, reputation, and customer trust.
Tag: AI fraud prevention
Sumsub Launches Adaptive Deepfake Detection for Real-Time Fraud Prevention
Sumsub has launched its Adaptive Deepfake Detector, a real-time AI fraud prevention system that uses continuous online learning to identify emerging deepfake attacks instantly. The solution improves identity verification accuracy across fintech, crypto, and other high-risk digital sectors by combining multi-layered fraud signals and adaptive machine learning.