E-commerce platforms are losing billions to a new wave of highly sophisticated "friendly fraud" and automated chargeback disputes.
In Q1 of 2026, our Edge sensors detected a 400% increase in programmatic chargeback attempts. Unlike traditional stolen credit card fraud, this vector uses legitimate accounts combined with AI bots that automatically file disputes with banks claiming items were "never received" or "unauthorized."
The $4M Coordinated Ring
In February, Sentinel's behavioral ML models flagged a highly distributed anomaly across three major SaaS platforms. Over 15,000 distinct accounts exhibited identical mouse-movement telemetry and micro-hesitations during checkout.
By analyzing canvas entropy and WebGL fingerprints, we linked these seemingly unrelated "clean" users to a central orchestration server operating out of Eastern Europe. Sentinel automatically deployed a shadow-ban rule, blocking the transactions before processing and saving our clients over $4M in dispute fees.
What To Do
If you're relying solely on IP reputation scores to detect chargeback fraud, you are leaving money on the table. The new attack surface is behavioral — which means defense must be behavioral too. Sentinel's invisible client-side telemetry captures over 400 behavioral signals per session without adding any user friction.