E-commerce

Protect your online
shop from fraud

Screen new accounts for signs of fraud and strengthen account takeover defenses with silent checks.

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Smiling woman holding delivery boxes at a door while a man signs on a clipboard.

Retailers’ growing fight against fraud

From refund and chargeback fraud to account takeovers and gift card abuse, e‑commerce fraud has become a major industry challenge.

Refund fraud

$102 billion
Yearly cost of return fraud to retailers

The abuse of return and refund policies is a growing challenge for e-commerce businesses looking to balance customer satisfaction and fraud prevention.

Source: Emarketer

Account takeover

32%
Share of e-commerce fraud from ATO

Using stolen login credentials from data breaches and phishing attacks, fraudsters are hijacking e-commerce accounts at an alarming rate.

Source: Worldpay

Synthetic shoppers

$23 billion
Losses due to synthetic identities by 2030

Using a mix of fabricated personal details and stolen credit card numbers, fraudsters create seemingly legitimate accounts and purchase items.

Source: Deloitte

Gift card fraud

$217 Million
Annual losses from gift card fraud in the U.S.

Fraudsters excel at finding gaps in e-gift card systems to steal and use promo codes, causing financial losses for both retailers and customers.

Source: Statista

Solutions

Silent fraud defenses for seamless shopping experiences

Score, approve, decline or send for review new accounts, logins and transactions in real‑time with no impact on the user experience.

SESSION

Detect high-risk web sessions in real time without disrupting real users and trusted AI agents.

Checkout page on smartphone

ONBOARDING

Enhance user verification during customer onboarding, verifying genuine sign-ups in seconds.

Onboarding page on smartphone

LOGIN

Prevent end-user accounts from being compromised with multilayered ATO protection.

Login page on smartphone
Platform overview

The Ultimate Identity Intelligence Hub

Trustfull’s complete suite of APIs, models and workflows powers accurate detection of fraud and fincrime attemps during every sign-up, login and transaction event.

Verify users with open source intelligence

Unlock digital signals as trust and risk indicators. Silently check phones, emails, IPs, devices and browsers.

Spot suspicious links with identity graphs

Spot connections between various digital attributes to identify anomalies and suspicious patterns.

Customize risk scoring through models

Choose from a library of ready-to-use models or build your custom score using our no-code rule engine.

Enhance model performance with insights

Test model accuracy and optimize performance against training samples.
Verify users with open source intelligence
Spot suspicious links with identity graphs
Customize risk scoring through models
Enhance model performance with insights
News

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How Can E-commerce Businesses Counteract Refund Fraud?

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