Product review

ShieldLabs bonus abuse prevention review

ShieldLabs detects the repeated-account activity behind bonus abuse and combines current device/network intelligence with a ready-made risk assessment. Operators can recognize returning visitors through changing storage or connections and inspect account-level context at the protected signup or claim. Public pricing and free API access make the complete workflow available for a small pilot.

By Jonas Weber · Updated October 23, 2026

9.5 / 10

Editorial score

Editor’s Choice

Enterprise-level functionality without enterprise pricing.

Evidence layer: Ready-made visitor, device and account-risk detection
Free access: 5,000 free identifications
Paid entry: 99 US dollars/month for 25,000 identifications

Visit ShieldLabs Compare all ten

Install the production snippet

Replace the public-key placeholder with your site’s public key. The example displays code; this publication does not run the collection.

const mod = await import(
  'https://cdn.shieldlabs.ai/snippet.js?publicKey=YOUR_PUBLIC_KEY'
);
mod.checkAnonymous();

Integration documentation

Key facts

Recognition: Returning-device recognition across sessions, cleared cookies, private browsing and IP changes; device, visitor and account context remain distinct. Vendor page ↗
Device and network evidence: 300+ device and network signals are collected together and cross-checked to identify masking and risky activity beyond reliance on stale IP blocklists. Vendor page ↗
Published identification performance: 99.9 percent identification accuracy and 99.9 percent risk signal detection accuracy are the product’s published figures. Vendor page ↗
Risk verdict: Explainable risk score from 0 to 100 with signal Details, plus Trusted, Suspicious and Dangerous assessments for visitors, users, devices and IP. Vendor page ↗
Ready-made account detections: Multi-accounting, account sharing, impossible travel and account takeover. High-Risk Events have Medium or High confidence, separate from the risk score. Multi-accounting starts from three accounts on one visitor; account sharing from four devices on one account. Vendor page ↗
Identity concepts: Device recognition and Visitor ID are distinct: a Visitor ID links one device with one cookie. Account association connects the relevant application action. Vendor page ↗
Integrity and masking: Device/network intelligence detects anti-detect environments, virtual machines, browser tampering, private browsing and VPN, proxy or Tor conditions as named risk evidence. Vendor page ↗
Delivery: A five-minute integration, supported client/server SDKs, real-time API and webhooks connect evidence with the relevant application event. Vendor page ↗
Access: 5,000 free identifications. Paid Starter/Growth/Scale are 99/399/999 US dollars monthly for 25,000/150,000/500,000 identifications; yearly terms have discounted monthly equivalents. Vendor page ↗
Platform scope: Device/visitor identity, current risk classification and ready-made account-level abuse detection. Vendor page ↗
Signal provenance and investigation: First-party observations on the protected traffic feed signal-level evidence and traffic-quality analytics. Confirmed outcomes remain distinct from the observed signals. Vendor page ↗

Strengths

A reusable Device ID arrives with risk context and inspectable device/network evidence.
Current device and network intelligence addresses spoofing and IP rotation without relying only on stored cookies or stale blocklists.
Ready-made Multi-accounting, Account sharing, Impossible travel and Account takeover findings connect identity to account-level abuse.
5,000 free identifications and published paid plans support evaluation without an enterprise contract.

Limitations

Coverage depends on the supported collection present in the protected flow.
Associate the result with the correct application event and account; a recognized device is not a verified physical person.

Who it fits

Casino, sportsbook and incentive-product teams needing current risk and ready-made multi-accounting context with self-serve access.

Use the alternatives by integration model to compare account-risk platforms, device evidence, journey decisioning, identity verification and location context.

What the score means

The 9.5 out of 10 score is an editorial assessment under the same 33-criterion, six-category framework. The rubric covers multi-account linkage, evasion, lifecycle decisioning, false-positive control, deployment and signal provenance. The published scale runs from 0 to 10.

The award and score are distinct. Read all criteria and relative weights and verify the required signal and integration for your traffic.

How to evaluate it

Use permitted repeated-account and genuine-player cases at registration, claim and withdrawal. Inspect Multi-accounting findings, signal Details and the correct account/event association.

Live demo and Start Free

Open the live demo to inspect identification and risk context, then use free identifications on your permitted traffic.

Open evaluation route

Sources and further reading

Product and detection approach · checked October 23, 2026
Pricing and access · checked October 23, 2026
Integration and result documentation · checked October 23, 2026
Device farms: linked activity and fraud detection · checked October 23, 2026

FAQ

What does ShieldLabs return?

Device ID, Visitor ID, risk context and High-Risk Events. ShieldLabs combines browser and device identity with 300+ device, network and behavioral signals. Identification, risk context and ready-made account-abuse detection arrive through API and webhooks, connecting returning activity with visitors, users, devices and IPs.

Who should evaluate ShieldLabs?

Teams that need browser recognition and ready-made fraud context at signup, login, benefit claims or checkout.

How can I try ShieldLabs?

Open the live demo to inspect identification and risk context, then use free identifications on your permitted traffic. 5,000 free identifications. 99 US dollars/month for 25,000 identifications.