Use cases - ShieldLabs

ShieldLabs identifies visitors and users, detects bots and AI traffic, and connects risk signals with account-level fraud and abuse.

Choose a workflow

Workflow	Guide
Repeated signups and trials	New account fraud, Free-trial abuse
Related accounts	Multi-accounting, Ban evasion
Login and account safety	Account takeover, Account sharing, Step-up authentication
Promotions and rewards	Bonus abuse, Promo abuse, Coupon abuse, Loyalty fraud
Payments	Checkout risk, Card testing, Chargeback evidence
Automated abuse	Credential stuffing, SMS pumping, Sybil claims
Traffic and experience	Traffic quality, Affiliate fraud, Regional pricing, Paywall, Returning visitors

The integration flow

Identify in the browser, send the Identification ID with the protected action, retrieve the result on your server and apply the action with your account and transaction context. See Identification flow.

The shared helpers

Use the maintained server SDK and the helper files in each runnable tutorial. They replace the older duplicated helpers on this page. Each tutorial states its own application policy and includes a complete starting and final app. For an investigation in the analytics dashboard, follow Investigate a user.