Traffic Laundering Detection: 4 Checks Before Billing Decisions
Detect traffic laundering with four checks across supply paths, device and network signals, and forensic samples; track decision rates using MRC guidance.
Blog / Fraud prevention
Fraud prevention
Audit Ready Velocity Checks for Fraud Teams With ShieldLabs Signals
Audit ready playbook for velocity checks: industry backed rules, a 90 day rollout checklist, reviewer workflows, and ShieldLabs signals.
Developers: Build Privacy First React Bot Detection With One JS Snippet
Developer playbook for privacy first React bot detection. Use invisible attestation, graduated responses, and auditable ShieldLabs signals. One JS snippet...
6 Step Datacenter Proxy Detection Workflow for Fraud Teams
Practical production guide for fraud teams: detect datacenter proxies by pairing ASN, rDNS, device/TLS telemetry and IP population signals.
Device Fingerprinting for Fraud: GDPR and UK PECR Considerations
A practical guide to purpose, consent exceptions, retention and rights when using device fingerprinting for fraud prevention in the UK and EU.
Calculate Fraud Detection Pricing With ShieldLabs' 5,000 Free Tier
Compare fraud detection pricing models and calculate ShieldLabs costs using 5,000 free identifications once, monthly plans and annual billing.
Marketplace Sybil Prevention: Device Signals and Reputation
Learn how marketplaces combine device identification, automatic multi-accounting detection and reputation models to prevent Sybil abuse and protect trust.
How to stop multi-accounting in online gambling: sportsbooks, poker, and casinos
How to stop multi-accounting in online gambling: why players open multiple betting accounts, the signals that link them to one person, and an operator playbook.
How to detect betting bots on sportsbooks, casinos, and poker sites
How to detect betting bots: the five kinds operators face, the device, network, and timing signals that expose them, and how to stop bot-driven abuse.
Cookie Deprecation: What Changes for Measurement and Fraud Detection
How third-party cookie restrictions affect attribution, where first-party measurement helps, and how to assess device recognition separately.
5-Stage Referral Fraud Detection for Product & Engineering Teams
A five-stage referral fraud workflow combining device linkage, Multi-accounting detection and payout controls without treating one signal as proof.
Operators: Persistent IDs for Bonus Abuse Detection in 24–72 Hours
Capture deposit to withdraw events, prioritise persistent visitor IDs and cohort signals, and score bonus claims in real time to stop abuse.