About ShieldLabs

Enterprise-level functionality without enterprise pricing

Fraud detection and prevention for web products. Find risky users under masking and stop multi-accounting, account sharing and takeovers.

Network and device intelligence cross-check 300+ data points for 99.9% identification accuracy and 99.9% risk signal detection accuracy. Each result includes named signals, an explainable risk score and ready-made High-Risk Events.

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Why we exist

If you run a SaaS product, a marketplace, a fintech, or a crypto app, you have an abuse and fraud surface whether you can see it or not. Repeated signups draining free trials. The same person behind a dozen accounts. Promo and referral payouts claimed over and over. Account takeover at login and payment fraud at checkout. Paid traffic that turns out to be anonymous, and analytics quietly distorted by visitors hiding behind anonymizing tools.

ShieldLabs is fraud detection and prevention with traffic quality scoring. Network and device intelligence expose masking, while ready-made detections reveal account abuse across web traffic.

When a team goes looking for a fix, it hits three walls

Sales-led vendors

Hide the price behind demos and annual contracts, and return a black-box verdict you cannot inspect.

Do-it-yourself

An open-source fingerprinting library gives you a browser hash, plus three-to-six months of engineering to add IP intelligence, network checks, and ongoing maintenance.

The buying process

Drags on for weeks: a demo, several sales calls, and a long onboarding before you can run a single check.

We built enterprise-level functionality without enterprise pricing: every signal explainable instead of a black box, and every plan open self-serve.

What we do

ShieldLabs collects 300+ raw signals on every visit, across the device, browser, operating system, IP, and network. From those signals, ShieldLabs:

Identifies

The device and visitor behind a visit, and recognizes them again across sessions, cleared cookies, incognito windows, and rotated IPs, even under a fresh email.

Reveals

Named risk signals reveal VPNs, proxies, anti-detect browsers and spoofing. They are derived from 300+ device, browser and network data points.

Scores

Every visit from 0 to 100 with a full breakdown of which signals fired and how much each weighed, in three bands: Trusted, Suspicious, and Dangerous.

Detects

High-Risk Events directly: multi-accounting, account sharing, impossible travel, and account takeover, each with Medium or High confidence, in your analytics dashboard, API, and webhooks.

Measures

Traffic quality by source, so you see the split across channels, referrers, and UTM, not one aggregate number.

Separates

Real-time analytics let your team tell anonymous and fraudulent traffic from real visitors and users at a glance.

You get honest data in one analytics dashboard, plus an API and webhooks, so your team can act on the result in your backend.

ShieldLabs flags risky users and helps block fraudulent and abusive traffic, with the data to explain every case.

What we stand for

The principles that guide our product, our team, and the calls we make.

Explainable beats black-box

Every risk score shows its work: which signals fired, what each one weighed. You should never have to second-guess a number you can't see inside.

Ready out of the box

Identification and risk scoring start with the first check. High-Risk Events appear when the relevant activity is detected, with no custom detection model to build.

Your data stays yours

We don't pool your traffic into a shared network across customers. We collect technical signals and IP, not names, emails, or payment data.

Flat, public pricing

Four tiers with published prices, no sales call to see a number, no surprise module in the upsell tier.

Let the data make the case

We'd rather you install the free tier and watch the signals on your own traffic than sit through a demo. If the data isn't useful, no slide deck will fix that.

AI on the team

We lean on AI tools to build and ship detection updates faster. They speed up the work; the judgment and the final call stay ours.

What ShieldLabs ships today

Network and device intelligence work together with 99.9% identification accuracy and 99.9% risk signal detection accuracy. ShieldLabs detects multi-accounting, account sharing, impossible travel and account takeover across web traffic.

You don't have to take those numbers on faith. We give you 5,000 free identifications, so you can watch the signals work against your own traffic and decide for yourself.

ShieldLabs detects anti-detect browsers, anonymized connections, bots and AI traffic. Every paid tier includes the full detection stack.

Protect your revenue, whichever seat you're in

The same signals serve different jobs. Here's what ShieldLabs means depending on where you sit.

Founders and CEOs

Know how much of your growth is real before your board asks. Catch the abuse draining trials and promos, and forecast your bill on flat, public pricing instead of a custom quote.

Engineers and security reviewers

Signals and an explainable score, ready to act on in your backend. No black box, no model you can't inspect, no waiting on a vendor to tune it for you.

CTOs and engineering leads

A five-minute install, an API and webhooks, and the full feature set on the first paid tier. Self-serve from day one, no procurement cycle, no two-month rollout.

Growth and marketing

Stop paying to acquire anonymous and fraudulent traffic. See your real numbers, so CAC, LTV, and attribution actually mean something.

ShieldLabs returns the evidence and the score, and you choose the action for each case, so every outcome can be explained to your team and your users.

See it on your own traffic

The fastest way to understand ShieldLabs is to install it and watch the signals come in. It takes about five minutes and costs nothing to start.

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Questions? Email us at [email protected].

Frequently asked questions

Yes. ShieldLabs stops fraud and abuse: it flags risky users and helps block fraudulent and abusive traffic, ready out of the box. It returns a risk score with full details on which signals fired, plus High-Risk Events, so every decision stays explainable and you choose the action for each case.

ShieldLabs reads technical signals from the browser, device and network before or alongside KYC. It provides risk scores, named risk signals and account abuse detections, while identity verification tools handle documents and government IDs.

Technical device, browser, and network signals, and the IP address of each visit. ShieldLabs does not collect names, emails, or payment details.