New Account Fraud Prevention

Block fake accounts in minutes
Grow with real customers.

Fake signups consume onboarding capacity and distort growth numbers. ShieldLabs detects signup bots and multi-accounting out of the box, helping you reserve welcome offers and verification capacity for eligible signups.

Start Free
your-product.com/sign-up

Create your account

Get started with your email.

Earlier accounts2 linked accounts
Risk detected

Browser automationProxy

Bot detected
Multi-accounting detected

Protect signup incentives

Keep trials, credits and welcome offers for eligible customers.

Reduce wasted resources

Keep automated registrations from consuming capacity meant for real users.

Trust your growth numbers

Keep fake accounts and repeat registrations from distorting customer acquisition.

Welcome genuine users

Keep real customers moving through signup without unnecessary friction.

Registration traffic

Stop automated signups.
Keep capacity for customers.

Bots can create fake accounts in bulk and trigger costly verification requests. ShieldLabs detects signup automation to protect onboarding capacity and keep account farms out of your acquisition funnel.

Repeated registrations

Stop repeat signups.
Keep welcome offers for new customers.

Different email addresses can make the same person look new. ShieldLabs detects multi-accounting at signup, helping keep one-time trials, credits and welcome offers for eligible customers.

Recognize returning visitors

Preserve recognition across sessions, cleared cookies and IP changes.

Filter by account count

Filter detected multi-accounting by account count to focus your investigation.

The ShieldLabs platform

More than a signup check.
The identity behind the account.

Combine identification, bot detection, device and network evidence, risk signals, risk scoring and ready-made account abuse detections to understand each registration.

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.

99.9%

Identification accuracy

UsersDevicesVisitorsPublic IPsLocal IPsCookiesSessions

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.

VPNProxyPrivate RelayTor NetworkCheck IncompleteAnti-Detect BrowserBanned IPIncognito modeGood botTimezone MismatchBad bot

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.

Traffic quality scoring and risk analytics

Get one score for all your traffic and ready-made quality results by source, channel, referrer and UTM campaign.

13Trusted
0100
Trusted61.0%Suspicious24.5%Dangerous14.5%

Analytics dashboard

Find bots and multi-accounting.
Protect real acquisition.

Get detected bots, linked users and ready-made risk assessments. Find the channels and campaigns bringing risky registrations.

How it works

Start protecting your product.

Connect once and start receiving ready-made fraud and abuse detections.

  1. 01

    Add the snippet or SDK

    Connect your product and start identifying visitors and users.

  2. 02

    Receive ready-made detections

    Get detected fraud and account abuse in the dashboard or through API integrations.

  3. 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.

identification.scored

Protect your users and product

Make abuse visible.
Keep genuine users moving.

Start Free

FAQ

Understand the evidence.
Put it to work.

What is new account fraud?

New account fraud is opening accounts with fake, stolen or fabricated credentials, or using bots, to misuse online services, incentives or access.

How does ShieldLabs help prevent new account fraud?

ShieldLabs detects bots and multi-accounting at signup and returns ready-made risk assessments. Protect onboarding, product resources and signup incentives while welcoming genuine customers.

Can ShieldLabs detect bulk automated signups?

Yes. ShieldLabs detects browser automation as bot activity and returns a ready-made risk assessment around signup activity.

Does ShieldLabs validate an email address?

Email labels in these examples come from your product. This page focuses on visitor identity, linked user accounts, automation and risk around registrations.

How do I connect a signup to a user account?

Pass your registered account identifier when available so identified visits can be associated with the user and its account activity.

Can ShieldLabs help protect signup OTP requests?

Yes. ShieldLabs detects browser bots and multi-accounting around registration and verification requests. Add these detections before costly SMS verification to help protect onboarding spend and capacity.