E-commerce Fraud & Abuse Prevention
Ecommerce fraud prevention.
Protect purchases and revenue.
Repeat discounts, automated checkout requests and account takeover put purchase value at risk. ShieldLabs detects account abuse and bots to help protect promotion spend, customer access and the purchase experience.
Start FreeComplete your order
Apply your first-order offer.
Anti-Detect BrowserProxy
Protect offer margins
Keep introductory discounts for eligible customers.
Keep checkout accessible
Stop scripted activity from crowding out buyers.
Protect saved customer value
Detect takeover around purchases and reward redemption.
Spend on real demand
Find sources bringing bots and risky web traffic.
Introductory offers
Keep first-order offers for new customers.
Protect promotion margin.
ShieldLabs detects multi-accounting behind repeat coupon abuse and promotion claims. Help keep first-order offers and referral rewards tied to eligible customers.
Checkout traffic
Stop automated checkout abuse.
Protect the purchase flow.
ShieldLabs detects browser bots behind card-testing and scripted checkout attempts. Ready-made risk assessments help protect the purchase flow, including guest checkout, while keeping legitimate buyers moving.
Expose disguised requests
Detect proxies and anti-detect browsers around store signup and checkout flows.
Find risky acquisition sources
See the channels, referrers and campaigns bringing automated traffic to your store signup and checkout flows.
Customer account security
Protect saved rewards.
Secure customer access.
ShieldLabs detects account takeover around customer access and purchases. Help protect saved payment access, gift-card balances and loyalty rewards before sensitive actions.
The ShieldLabs platform
More than one fraud check.
Protect your entire product.
Connect identification, device and network intelligence, bots, named risk signals and ready-made account abuse detections. Traffic quality analytics gives the sources behind risky activity.
Enterprise-level functionality. Without enterprise pricing.
Accurate identification
Recognize returning visitors even when they clear cookies, use incognito mode or change their IP address. Detect linked users with different email addresses.
Identification accuracy
High-Risk Event detection
Detect account abuse out of the box by automatically identifying linked users. No fraud model training is required.
Risk signals
Get ready-made detections of automation, masking and spoofing, with named risk signals behind each result.
Bot & AI traffic detection
Detect bot activity from browser automation signals. Recognize useful crawler and AI traffic alongside abuse detections.
Risk scoring
Score every visit from 0 to 100 and classify it as trusted, suspicious or dangerous. See the signals behind each score.
Device fingerprinting
Recognize devices by their fingerprints. Identify the browser, operating system and device type. Detect headless browsers and tampering.
IP & Network Intelligence
Reveal the real IP address and geolocation behind masking. Detect VPNs, proxies and private relays.
203.0.113.42198.51.100.23Traffic quality scoring and risk analytics
Get one score for all your traffic and ready-made quality results by source, channel, referrer and UTM campaign.
Analytics dashboard
Find risky accounts and visits.
See the sources behind them.
Explore visitors, users, devices and IPs with detected account abuse and identification risk assessments. See traffic quality by channel, referrer and campaign.
How it works
Start protecting your product.
Connect once and start receiving ready-made fraud and abuse detections.
- 01
Add the snippet or SDK
Connect your product and start identifying visitors and users.
- 02
Receive ready-made detections
Get detected fraud and account abuse in the dashboard or through API integrations.
- 03
Prevent fraud and abuse
Protect customer accounts, paid access and signup incentives in your product.
Developers
Integrate in
5 minutes.
A single API to identify, detect and score. Receive risk data through API responses and webhooks. Integrate selected data points into your business logic to prevent fraud and abuse.
Protect your users and product
Protect your margins.
Welcome genuine buyers.
Start Free FAQ
Understand the evidence.
Put it to work.
What is ecommerce account and offer abuse?
Ecommerce fraud detection can expose repeated discounts, bot-driven web checkout attempts and unauthorized account access. ShieldLabs assesses browser visits; it does not validate payment cards or authorize transactions.
How does ShieldLabs help prevent fraud and abuse in E-commerce?
ShieldLabs detects multi-accounting, bots and account takeover around your web product. Ready-made risk assessments help protect access, incentives and legitimate customers.
Can ShieldLabs identify repeat first-order discount claims?
Yes. Multi-accounting detection identifies registered buyers who return under different emails, while bot detection helps protect scripted promotion and checkout flows.
Does visitor recognition work after cookies are cleared?
Yes. ShieldLabs recognizes returning visitors across new sessions, cleared cookies, incognito browsing and IP changes. These are visitor-recognition capabilities.
How do I integrate ShieldLabs?
Add the browser snippet or client SDK to your web product. Receive identification results, risk signals and account abuse detections through the dashboard, API integrations and webhooks.
Does checkout risk assessment require a signed-in buyer?
No. An identification can carry a risk assessment and named bot or masking detections for a guest browser visit before login or purchase.
Can ShieldLabs assess guest checkout before a shopper logs in?
Yes. ShieldLabs identifies browser visits and returns bot detections, named risk signals and an identification risk assessment before login. Add these results to guest checkout and returning-shopper flows.