SaaS Fraud & Abuse Prevention
Fraud prevention for SaaS.
Grow paid subscriptions.
Trial farms, bots and shared credentials consume capacity and weaken paid access. ShieldLabs detects account abuse and bot automation to help protect free resources, subscriptions and genuine acquisition.
Start FreeStart your free trial
Get access to your workspace.
Browser automationProxy
Preserve free-tier capacity
Keep credits, API quota and storage for eligible customers.
Protect paid subscriptions
Keep shared credentials from replacing licensed access.
Trust funnel performance
Stop repeat enrollments from inflating trial growth.
Reduce customer friction
Keep trusted users moving through your product.
Trial eligibility
Stop repeat enrollments.
Keep trials for new customers.
ShieldLabs detects multi-accounting among users registered with different emails. Filter detected activity in the dashboard by account count to investigate repeated use of introductory offers.
Product web workflows
Stop scripted abuse.
Protect product capacity.
ShieldLabs detects bots around signup and browser-based product actions. Keep free credits, API quota and storage for genuine evaluations, and keep account farms from inflating trial acquisition.
Expose disguised requests
Detect proxies and anti-detect browsers around SaaS signup and product workflows.
Find risky acquisition sources
See the channels, referrers and campaigns bringing automated traffic to your SaaS signup and product workflows.
Paid workspace access
Detect shared accounts.
Protect licensed seats.
ShieldLabs detects account sharing to help protect paid workspace access. Filter detected account sharing in the dashboard by device count to investigate subscription use.
Support the right plan
Use detected sharing to start additional-seat and subscription conversations.
Keep allowed devices welcome
Filter detected results by device count to investigate subscription use.
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 free tier.
Grow paid access.
Start Free FAQ
Understand the evidence.
Put it to work.
What is SaaS account abuse?
SaaS account abuse includes repeated trial enrollments, automated use of free resources and shared credentials that bypass paid access limits.
How does ShieldLabs help prevent fraud and abuse in SaaS?
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 detect repeated free-tier registrations?
Yes. Multi-accounting detection finds registered accounts created with different emails; bot detection covers scripted signup and resource use in web 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.
Can SaaS teams protect paid access too?
Yes. Account sharing detection identifies excessive device use under one account, and account takeover detection helps protect an established customer’s access.
Can I filter detected results by account and device count?
Yes. Multi-accounting detection starts at three accounts per visitor, and account-sharing detection starts at four devices per account. Dashboard filters narrow displayed results by account or device count without changing the detection rules.
How does trial abuse affect SaaS growth?
Repeat accounts and bots inflate trial signups and consume free resources without representing genuine new demand. ShieldLabs detects this abuse to help keep acquisition and trial evaluations focused on real customers.