Arkose Labs Enables Ecommerce Giant to Stop New Account Fraud

Discover how an ecommerce giant stopped new account fraud at the source. Access the case study to see its preventative approach!

What You’ll Learn

• How e-commerce platforms can stop fake new accounts at the source Discover how behavioral analytics, device intelligence, and adaptive challenges help identify suspicious sign-ups before attackers can create accounts for scams, spam, or fraudulent listings.
• How to reduce downstream abuse by improving account creation security Learn how early detection prevents fake reviews, counterfeit product listings, spam messages, and other abuse that damages user trust and marketplace integrity.
• How advanced fraud prevention protects the user experience Understand how smarter intent-based risk scoring reduces unnecessary friction for legitimate buyers and sellers while stopping bots and human fraud farms.

FAQ

How can e-commerce platforms prevent fake account creation at scale?

Platforms can stop fake accounts by analyzing real-time behavioral signals, device fingerprints, IP reputation, and intent scoring at the moment of sign-up. When risk is detected, adaptive challenges block bots and coordinated fraud farms before they can create accounts used for scams, fake reviews, or counterfeit listings.

What’s the best way to balance security and user experience during account creation?

Replacing blanket controls with adaptive verification ensures legitimate users move through registration without friction. Intelligent fraud systems challenge only high-risk traffic, improving conversion while stopping malicious sign-ups.

How does stopping fake accounts reduce downstream fraud in e-commerce?

Fake accounts are often used for spam messaging, fake reviews, fraudulent seller profiles, and delivery scams. By blocking illegitimate accounts early, platforms prevent a chain of downstream abuse, strengthen marketplace trust, and reduce operational overhead.