# ShieldLabs

> Anonymous visitor detection and risk scoring for fraud and abuse prevention

- **Website**: https://shieldlabs.ai/
- **Uneed Page**: https://www.uneed.best/tool/shieldlabs
- **Pricing**: Freemium
- **Category**: Business
- **Tags**: Security, Feedback, Analytics
- **Submitted by**: @Yahor_Papou
- **Launch Date**: 2026-07-31
- **Social Links**: [Twitter](https://x.com/Shieldlabs_ai) | [LinkedIn](https://www.linkedin.com/company/shieldlabs-ai) | [GitHub](https://github.com/ShieldLabs-ai)

## About

ShieldLabs identifies visitors and detects anonymity at any level with up to 99% accuracy, so teams can assess traffic quality and prevent abuse and fraud. It recognises visitors behind VPNs, proxies, Tor and anti-detect browsers, then returns a risk score from 0 to 100 with the named signals behind it. Your code decides what happens next.

Used against multi-accounting, bonus and promo abuse, free-trial abuse, fake signups, referral fraud, account sharing, account takeover and ad fraud. Built for SaaS, AI products, e-commerce, marketplaces, fintech, gaming, iGaming, crypto, media streaming, ticketing and travel.

One JavaScript snippet, about five minutes to the first signal, then a REST API and webhooks. 5,000 free identifications, no credit card, no expiry.