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.
Blog / Detection
Detection
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.
First Request Detection With HTTP/2 Header Fingerprints for Defenders
How HTTP headers, TLS JA4 and HTTP/2 frame fingerprints differ, including what must be captured after TLS termination and where ShieldLabs fits.
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.
Setup Multi Accounting Detection in 5 Minutes for Fraud Teams
How device and network signals reveal linked accounts, and how ShieldLabs detects Multi-accounting as a High-Risk Event with clear evidence.
3 Checks to Catch Click Spamming: Detection Playbook for Marketers
Operational playbook for marketers and fraud analysts: three checks, CTIT, conversion baselines and device fingerprints, to detect click spamming early.
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.
Stop False Positives: Apple Private Relay Detection for IT & Fraud Ops
Ops guide to detecting Apple Private Relay. Learn three detection techniques, when to return NXDOMAIN, and fraud safe rules for teams.
5 Low Latency Checks to Detect Anti Detect Browsers for Fraud Teams
Research backed playbook for fraud teams: five low latency checks to spot anti detect browsers, signal to score mapping, and a ShieldLabs setup path.
Detect Free Trial Abuse with 300+ Signals for SaaS Teams
Detect free trial abuse without blocking real users. Use auditable signals, progressive friction, and metrics to protect conversion.
Four Stage Risk Funnel for Fake Signup Detection with Persistent ID
Practitioner guide to fake signup detection: build a four stage risk funnel and use persistent visitor IDs and auditable signals to cut fake accounts.
Developer Playbook: Selenium Detection as a Five Signal Classification
Developer-first playbook for Selenium detection across five signal groups: JavaScript flags, CDP artifacts, rendering, network, and behavior.