ShieldLabs Brings Fraud Detection with Traffic Quality Scoring to SMBs at Self-Serve Pricing
ShieldLabs, a fraud detection and prevention platform with traffic quality scoring, gives SaaS, fintech, e-commerce, iGaming and AI companies detection of multi-accounting, account sharing and account takeover without an enterprise contract.
Sheridan, WY, October 15, 2026 --(PR.com)-- ShieldLabs Inc. today announced that its fraud detection and prevention platform with traffic quality scoring is available to teams of any size on self-serve plans, starting from a free tier. The platform detects users running multiple accounts, account sharing and account takeovers under any masking, so product teams can prevent losses from free-trial, bonus, promo and API abuse.
Fraud tooling has long been split in two. Enterprise platforms deliver deep detection but require a sales process, an annual contract and a custom integration. Lightweight checks such as IP lookups or CAPTCHA are cheap, but they miss users who hide behind VPNs, residential proxies or anti-detect browsers. ShieldLabs is built for the teams in between: startups and SMBs that need detection at the level of enterprise platforms, without enterprise pricing.
How it works
A JavaScript snippet, client and server SDKs, an API and webhooks connect ShieldLabs to a website or web app in about five minutes. On every visit, more than 100 device and network signals are collected and cross-checked against each other, which exposes deep masking and delivers 99.9% identification accuracy.
Key capabilities include:
- Visitor and user identification that persists across sessions, after cleared cookies, in incognito mode and through IP address changes. - Risk signals returned by name, including VPN, proxy, Tor, Apple Private Relay, datacenter IP, anti-detect browser and browser automation detection. - Bot and AI traffic detection that separates bad bots and AI agents from good ones. - A risk score for every visitor, user, device and IP address, with a breakdown of the signals behind it. - Detection of multi-accounting, account sharing, account takeover and impossible travel out of the box, without building rules or training a fraud model. - Traffic quality scoring for every source, channel, referrer and UTM campaign.
ShieldLabs returns signals and scores. The customer's own code and rules decide what to allow, challenge or block, which keeps every decision explainable.
"Most teams we talk to already know they have a multi-accounting or free-trial abuse problem. What they lack is a tool they can switch on this week without a procurement cycle," said Yahor Papou, CMO at ShieldLabs. "Our goal is to make that level of detection available to any product team, with transparent pricing and a free plan to start."
Pricing and availability
ShieldLabs is available now at https://shieldlabs.ai. The free plan includes 5,000 one-time identifications. Paid plans start at $99 per month for 25,000 identifications, with Growth at $399 and Scale at $999 per month, and up to 20% off on annual billing. The API, webhooks and support are included on every plan, including the free one.
Fraud tooling has long been split in two. Enterprise platforms deliver deep detection but require a sales process, an annual contract and a custom integration. Lightweight checks such as IP lookups or CAPTCHA are cheap, but they miss users who hide behind VPNs, residential proxies or anti-detect browsers. ShieldLabs is built for the teams in between: startups and SMBs that need detection at the level of enterprise platforms, without enterprise pricing.
How it works
A JavaScript snippet, client and server SDKs, an API and webhooks connect ShieldLabs to a website or web app in about five minutes. On every visit, more than 100 device and network signals are collected and cross-checked against each other, which exposes deep masking and delivers 99.9% identification accuracy.
Key capabilities include:
- Visitor and user identification that persists across sessions, after cleared cookies, in incognito mode and through IP address changes. - Risk signals returned by name, including VPN, proxy, Tor, Apple Private Relay, datacenter IP, anti-detect browser and browser automation detection. - Bot and AI traffic detection that separates bad bots and AI agents from good ones. - A risk score for every visitor, user, device and IP address, with a breakdown of the signals behind it. - Detection of multi-accounting, account sharing, account takeover and impossible travel out of the box, without building rules or training a fraud model. - Traffic quality scoring for every source, channel, referrer and UTM campaign.
ShieldLabs returns signals and scores. The customer's own code and rules decide what to allow, challenge or block, which keeps every decision explainable.
"Most teams we talk to already know they have a multi-accounting or free-trial abuse problem. What they lack is a tool they can switch on this week without a procurement cycle," said Yahor Papou, CMO at ShieldLabs. "Our goal is to make that level of detection available to any product team, with transparent pricing and a free plan to start."
Pricing and availability
ShieldLabs is available now at https://shieldlabs.ai. The free plan includes 5,000 one-time identifications. Paid plans start at $99 per month for 25,000 identifications, with Growth at $399 and Scale at $999 per month, and up to 20% off on annual billing. The API, webhooks and support are included on every plan, including the free one.
Contact
ShieldLabs Inc.
Yahor Papou
+1 307 533 6710
https://shieldlabs.ai
Yahor Papou
+1 307 533 6710
https://shieldlabs.ai
Contact
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