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ShieldLabs

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.

Best forDevelopers needing an API to score and identify anonymous web traffic.
DifferentiatorExplainable risk scores and persistent visitor ID that works across incognito sessions.
ProofIdentifies visitors with up to 99% accuracy using 100+ signals.
Try ShieldLabs
Free Plan Pro from$79/mo
9.2 Zekai
Developer-First Fraud API
AI Tool
Ease of Use
9.2
Accuracy
9.4
Value
8.8
Time Saving
9.5
API AccessFraud DetectionRisk ScoringVisitor IDDeveloper Tools
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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
⚡ Quick answer

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.

CategoryAI Fraud Detection
Best ForDevelopers needing an API to score and identify anonymous web traffic.
Price From$79/mo
FreeFree tier with 5,000 identifications
DifferentiatorExplainable risk scores and persistent visitor ID that works across incognito sessions.
ProofIdentifies visitors with up to 99% accuracy using 100+ signals.
Rating4.6/5
📖 About ShieldLabs
How It Works

Your workflow, automated

1
Install the JS Snippet
Add the single line of ShieldLabs JavaScript to your website's header. This can be done directly in your HTML, via a tag manager, or within your site builder.
2
Receive Visitor Risk Score
On every page load, the snippet collects 100+ signals and sends a persistent visitor ID, anonymity flags, and a 0-100 risk score to your backend via API or webhooks.
3
Apply Your Business Logic
Use the risk score and detailed signals in your own code to decide on an action, such as blocking a signup, requiring extra verification, or flagging an account for review.
Ready to automate your workflow with ShieldLabs?
Try ShieldLabs →
Real Impact

Before & After

❌ Before

Struggling to distinguish legitimate users from fraudsters using VPNs and cleared cookies, leading to high rates of bonus abuse and skewed analytics.

High fraudulent signups
✅ After

Accurately identify and score every visitor, even anonymous ones, to proactively stop fraud and clean up user acquisition metrics.

Explainable risk scores
Prompt Templates

Try it with these prompts

Copy any prompt and paste it directly into the tool.

Detect multi-accounting

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.

Score traffic quality

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.

Identify returning trusted visitors

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.

Social Proof

Trusted by professionals

Ease of Use
9.2
Accuracy
9.4
Value
8.8
Time Saving
9.5

"The API-first approach is exactly what we needed. Integration was genuinely a 5-minute job, and the documentation is crystal clear."

David R., Lead Developer · June 2026

"Unmasking multi-accounters has been a game-changer for our promo budgets. The explainable scores help us build trust in the system."

Maria S., Fraud Analyst · May 2026

"It's a powerful detection engine, but be prepared to dedicate dev time to build the response logic. It tells you who's risky, but doesn't act for you."

Chen L., IT Manager · June 2026

"Finally, a way to see the real quality of our traffic sources. The analytics dashboard helped us cut a partner delivering junk traffic within the first week."

Tom B., DevOps Engineer · April 2026
Connects With

Works with your existing stack

JavaScript WordPress Tilda Shopify Next.js React Angular Vue.js Preact Svelte
Setup complexity: Requires API Integration
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.
Comparison

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.

The decision

Is it worth it?

Return on investment
By using the Growth plan at $319/mo, a team can prevent thousands in losses from promo abuse and ad fraud, while saving dozens of engineering hours otherwise spent building a custom detection solution.
Built for
Cybersecurity professionals, IT infrastructure managers, and fraud analysts responsible for protecting web applications from abuse, fraud, and account-related threats.
Effort to adopt
Requires API Integration
Compliance
Compliance posture not publicly documented — verify with vendor.
Who It's For

Why professionals choose this tool

🎯
Built for
Best for teams needing a developer-friendly API to detect and score anonymous traffic to prevent account fraud and abuse.
In-Depth Overview
For cybersecurity and IT teams, ShieldLabs provides a critical layer of defense against anonymous threats. Instead of relying on cookies or IP addresses alone, it creates a persistent visitor identifier using over 100 device, network, and browser signals. This unique ID works even if a user clears their cookies, rotates their IP, or uses incognito mode, providing a stable way to track suspicious behavior over time. The core benefit is its explainable risk score. Every visitor is scored from 0-100, and the API returns the specific signals (e.g., 'Anti-detect browser', 'Proxy') that contributed to the score. This transparency allows your team to build trust and create precise, automated rules. With pre-built patterns for common abuse like multi-accounting and account sharing, you can immediately target revenue-damaging activities. Implementation is fast—a single JavaScript snippet and API integration—letting you focus on acting on the intelligence rather than building a detection engine from scratch. This protects ad budgets from click fraud, cleans up user metrics like LTV, and stops promo abuse before it impacts margins.

Key Use Cases

🛡️
Proactively Stop Multi-Accounting Abuse
IT Security Analyst
Use ShieldLabs' persistent device identifier to catch a single user creating multiple accounts to abuse promos or free trials, even if they clear cookies or use incognito mode.
Reduced fraudulent signups
🕵️
Unmask Sophisticated Fraud Rings
Fraud Manager
Leverage anti-detect browser and datacenter IP signals to identify and score coordinated fraud attempts from click farms or botnets, protecting ad spend and platform integrity.
Lowered cost-per-acquisition
⚙️
Integrate Fraud Detection in Minutes
DevOps Engineer
Drop a single JS snippet into the deployment pipeline to start receiving risk scores via API for every new user, without complex server-side configuration or SDKs.
Deployed in < 5 mins
✓ Pros
Identifies users even with cleared cookies or in incognito mode.
Simple 5-minute setup with a single JavaScript snippet.
Provides explainable risk scores, not a black box.
Transparent, self-serve pricing with a free tier available.
Detects a wide range of fraud, from bonus abuse to ad fraud.
· Cons
Requires development resources to act on the provided risk scores.
The free tier is a one-time grant, not a recurring monthly allowance.
Primarily a detection and scoring tool; does not automatically block traffic.
Uptime SLA of 99.9% is only available on the highest-tier 'Scale' plan.
⚡ 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.

Questions & Answers

Frequently asked questions

What is ShieldLabs?

+
ShieldLabs is a visitor identification and fraud prevention tool. It analyzes traffic to identify users behind VPNs, proxies, and other masking techniques, providing a risk score to help prevent losses from abuse like multi-accounting and fake signups.

How does ShieldLabs work?

+
It uses a JavaScript snippet on your site to collect over 100 device, network, and browser signals. It then creates a persistent visitor ID and an explainable risk score (0-100) for each visitor, delivered via API.

Does ShieldLabs block fraud?

+
No, ShieldLabs does not automatically block traffic. It provides a risk score and the underlying signals, and your own system decides what action to take based on the rules you set.

How can I identify users who are hiding behind a VPN or proxy?

+
ShieldLabs specializes in this by analyzing over 100 network, device, and browser signals. It provides a specific flag and contributes to the overall risk score when VPN, proxy, or Tor usage is detected, allowing you to handle these users according to your policies.

What is the best AI tool for detecting multi-accounting fraud?

+
ShieldLabs is a strong contender, as it creates a persistent visitor ID that works even if a user clears cookies, changes IPs, or uses incognito mode. This allows it to detect when a single device is used to create multiple accounts.

Which AI service provides a risk score for website visitors?

+
ShieldLabs provides an explainable 0-100 risk score for every website visitor. The score is delivered via API and includes the specific signals (like proxy use or browser tampering) that influenced the result.

Last reviewed:

Plans & Pricing

Start today

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.

Free guide

Take it with you

Quick Start: Your First 3 Steps
  • 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.
+4 more steps inside the guide
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AI Directory

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.

Last reviewed:
Disclaimer
Zekai is an independent AI tools directory. We are not affiliated with, endorsed by, or officially connected to ShieldLabs unless clearly stated. All product names, logos, and brands are the property of their respective owners and are used for identification purposes only. The information on this page — including pricing, features, and availability — is general information, may have changed since our last review, and is not professional advice. Zekai Scores and verdicts are our editorial opinion. Some outbound links are affiliate links that may earn us a commission at no extra cost to you. Spotted outdated or incorrect information? Request a correction →
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