ShieldLabs

ShieldLabs overview

ShieldLabs is a fraud detection and prevention platform built on persistent visitor identification and anonymity signal detection. It helps teams assess traffic quality, recognize returning visitors, and detect patterns associated with multi-accounting, account sharing, fake signups, account takeover, referral fraud, bonus abuse, ad fraud, and other forms of abuse.

Detection covers VPNs, proxies, Tor, Apple Private Relay, datacenter IP ranges, anti-detect browsers, browser automation, bot traffic, location spoofing, and other anonymity signals. More than 100 device, browser, operating system, network, and IP signals are evaluated together using deterministic rules and AI-assisted analysis.

Identification persists across sessions. ShieldLabs can recognize a returning visitor with up to 99% accuracy despite cleared cookies, incognito mode, IP rotation, and long gaps between visits. The dashboard also summarizes traffic across clean, low-, medium-, and high-risk bands and shows how risk changes by channel, referrer, campaign, account, device, and identity.

How ShieldLabs works

1. Add one JavaScript snippet to the website. ShieldLabs says the first signals can appear in about five minutes.
2. Each visit is evaluated across more than 100 device and network signals, including anonymity, spoofing, automation, and reputation indicators.
3. ShieldLabs returns a persistent visitor ID, an explainable risk score from 0 to 100, and the signals that contributed to the result through its dashboard, API, and webhooks.
4. The customer defines the response rules in its own application, such as allowing a visit, requesting review, or blocking an action.

Key features

• Persistent visitor identification: Recognize returning visitors across sessions, cleared cookies, rotated IP addresses, and incognito browsing.
• Deep anonymity detection: Evaluate 100+ device and network signals for VPNs, proxies, Tor, Private Relay, anti-detect browsers, datacenter traffic, automation, and spoofing.
• Explainable risk scoring: Assign every visit a score from 0 to 100 with a breakdown of the signals and factors behind the result.
• Fraud and abuse patterns: Link accounts, devices, sessions, and identities to surface multi-accounting, account sharing, account takeover, account farms, ban evasion, and related abuse.
• Analytics and integrations: Review traffic quality by risk band, source, campaign, and channel; integrate through JavaScript, React, Next.js, Vue, Angular, Svelte, Preact, WordPress, Shopify, Tilda, server SDKs, API, and webhooks.

Pricing

ShieldLabs includes a one-time free allowance of 5,000 identifications with no credit card required. Paid plans start at $99 per month for 25,000 identifications on monthly billing. Annual billing reduces the entry plan to $79 per month, and higher-volume Growth and Scale plans are available. API and webhook access are included across tiers.

Frequently asked questions

What is ShieldLabs?

ShieldLabs is a visitor identification and anonymous-traffic detection platform that returns an explainable risk score, the signals behind it, and ready-made patterns that point to abuse and fraud.

What can ShieldLabs detect?

It detects VPNs, proxies, Tor, privacy relays, anti-detect browsers, automation, spoofing, and other anonymity signals. It can also surface patterns associated with multi-accounting, account sharing, account takeover, and ban evasion.

Does ShieldLabs automatically block fraud?

No. ShieldLabs provides the detection layer, signals, and risk score. The customer application decides whether to allow, review, or block each action.

How accurate is ShieldLabs?

ShieldLabs states that it can identify returning visitors with up to 99% accuracy by correlating device and network signals instead of relying on a single cookie or IP address.

Is there a free tier?

Yes. New customers can use a one-time allowance of 5,000 free identifications before choosing a paid plan.

Website: https://shieldlabs.ai/

Company: ShieldLabs Inc