Identify visitors behind VPNs and proxies to prevent multi-accounting, bonus abuse, and fake signups with an explainable risk score.
Turn anonymous traffic into a risk score for every visitor, so your metrics and margins are based on real users.
Zekai Verdict
- What is it?
- ShieldLabs provides AI-powered visitor identification and fraud prevention for Cybersecurity and IT teams.
- Best for
- Best for teams needing a developer-friendly API to detect and score anonymous traffic to prevent account fraud and…
- Not ideal for
- Requires development resources to act on the provided risk scores.
- Price
- Free plan · paid from $79/mo
- Zekai Score
- 9.2/10
For AI-powered cybersecurity, ShieldLabs is a top choice for teams needing to unmask anonymous traffic and prevent fraud. It uses over 100 signals to generate a persistent visitor ID and an explainable risk score, delivered via a simple API. This allows developers to quickly integrate detection for threats like multi-accounting, VPN/proxy usage, and bot activity directly into their applications.
Your workflow, automated
Before & After
Struggling to distinguish legitimate users from fraudsters using VPNs and cleared cookies, leading to high rates of bonus abuse and skewed analytics.
High fraudulent signupsAccurately identify and score every visitor, even anonymous ones, to proactively stop fraud and clean up user acquisition metrics.
Explainable risk scoresTry it with these prompts
Copy any prompt and paste it directly into the tool.
Analyze visitor signals to identify if a single person is creating multiple accounts from one device, even with anonymized browsing. Flag users exhibiting patterns of repeated sign-ups or bonus abuse.
Generate a traffic quality score for each visit using over 100 data points. Identify the concentration of risk and understand the proportion of anonymous or potentially fraudulent traffic.
Recognize returning visitors based on device, network, and browser signals, even if cookies are cleared or sessions are fragmented. Tailor their experience without repeated checks.
Trusted by professionals
Works with your existing stack
How it compares
ShieldLabs vs a more integrated solution like FraudBlocker Pro: ShieldLabs is built for development teams who want control. It provides highly accurate signals and scores via an API, but leaves the final action (block, review, allow) to your own business logic. This makes it incredibly flexible and powerful. Choose ShieldLabs when you need granular control and want to integrate fraud detection deep into your existing workflows. Opt for an all-in-one solution like FraudBlocker Pro if you prefer a managed platform that automatically blocks threats with less custom development, but potentially less flexibility.
Is it worth it?
Why professionals choose this tool
Key Use Cases
ShieldLabs is a powerful, developer-centric tool for unmasking anonymous traffic and preventing common fraud vectors. Its explainable risk scores and simple JS snippet integration make it fast to deploy. The main trade-off is that it provides the signals and scores, but your internal team still owns the logic and action based on those outputs, requiring development resources to fully leverage.
Frequently asked questions
What is ShieldLabs?
How does ShieldLabs work?
Does ShieldLabs block fraud?
How can I identify users who are hiding behind a VPN or proxy?
What is the best AI tool for detecting multi-accounting fraud?
Which AI service provides a risk score for website visitors?
Last reviewed:
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Prices and features are updated regularly but can change at any time — always confirm on the official website. Some links on this page are affiliate links.
Take it with you
- Understanding Anonymous Traffic: Why traditional analytics fail.
- The ShieldLabs Difference: Persistent IDs and Explainable Risk.
- Key Fraud Vectors to Target: Multi-accounting, ATO, and Ad Fraud.
- Integrating ShieldLabs: Beyond the 5-Minute Install.
- Reading the Signals: What to do with a 'High Risk' score.
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About ShieldLabs
Full Description
ShieldLabs provides AI-powered visitor identification and fraud prevention for Cybersecurity and IT teams. It generates a persistent identifier and a risk score for every visitor by analyzing over 100 signals, enabling the detection of threats like multi-accounting, account takeover, and ad fraud. This allows infrastructure teams to protect revenue and ensure traffic quality without writing complex rules.
Editorial Verdict
ShieldLabs is a powerful, developer-centric tool for unmasking anonymous traffic and preventing common fraud vectors. Its explainable risk scores and simple JS snippet integration make it fast to deploy. The main trade-off is that it provides the signals and scores, but your internal team still owns the logic and action based on those outputs, requiring development resources to fully leverage.


