About This Site
Fraud detection with bot, AI agent and risky user detection for web apps. ShieldLabs combines deterministic rules and AI to detect bots, AI agents and risky users on every visit to a website or web app. It is fraud detection and prevention with traffic quality scoring: a JavaScript snippet collects 300+ device and network risk signals and cross-checks them, so VPNs, proxies, Tor, anti-detect browsers and browser automation show up as named signals. Every visitor, user, device and IP address gets a 0-100 risk score, with 99.9% identification accuracy. Multi-accounting, account sharing, account takeover and impossible travel are detected directly, out of the box, each with a Medium or High confidence level. An AI copilot turns the collected data into summaries, investigations and ready-to-run actions, and traffic quality is scored by source, channel and campaign. ShieldLabs brings enterprise-level functionality without enterprise pricing to SaaS, AI products, fintech, e-commerce, iGaming, crypto, marketplaces and media. Setup takes about five minutes, results arrive through the API and webhooks, and the free plan includes 5,000 identifications.
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Key Features AI
Core Features
Bot and AI agent detection
300+ device and network risk signals: VPN, proxy, Tor, anti-detect browser and automation detection
0-100 risk score for every visitor, user, device and IP address, 99.9% identification accuracy
High-Risk Events out of the box: multi-accounting, account sharing, account takeover, impossible travel
Advantages
Provides persistent identification beyond cookies and basic IP tracking
Combines more than 300 device, browser, and network signals
Risk scores are explainable through named detection signals
Fraud detections are available out of the box without building a fraud model
API and webhooks are included across the listed plans
Supports many web stacks, CMS platforms, and no-code builders
Includes a free allocation of 5,000 identifications
Self-serve pricing with annual discounts and configurable overage controls
缺点：The free allocation is a one-time 5,000-identification hard cap
缺点：Paid plans can generate additional overage charges when overage is enabled
缺点：Implementation requires developer access for snippet, SDK, API, or backend rule integration
缺点：The platform provides risk information but does not automatically decide whether to block users
缺点：Pricing is based on identification volume, so high-traffic websites may incur significant costs
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