Payment Fraud Prevention Implementation: Device Evidence Before Checkout
Build payment fraud prevention into checkout with server-verified device evidence, order binding, safe retries and signed webhooks. Follow a tested example.
Kanstantsin Serabrakou is the Chief Technology Officer at ShieldLabs, where he leads engineering and the device-intelligence and detection systems behind the product.
Kanstantsin Serabrakou's articles
What Is a Bot in Website Traffic? Types and Examples
Understand bot traffic, useful crawlers, automated browsers and AI agents. Learn what identity, behavior and permission reveal about each website visit.
Remember This Device for MFA With a Persistent Device ID
Design remember this device for MFA with a revocable trust credential, persistent device context, expiry and step-up authentication for sensitive actions.
Fraud Detection API for Web Apps: From Browser Signal to Backend Decision
Integrate a fraud detection API into web signup and login with browser collection, verified server results, signed webhooks and clear timeout handling.
Browser Fingerprinting in a Python Web App
Connect browser fingerprinting to a Python backend with the ShieldLabs SDK, FastAPI result reads, signed webhook checks and explicit validation boundaries.
Device ban: how to block a repeat offender so the ban survives a new account
A device ban makes a ban stick to the device, not the account, so a banned user cannot walk back in under a fresh email. How it works and how to build it.
How to prevent referral fraud
What referral fraud is, the main types from self-referral to account farming, why it is hard to catch, and how the device behind fake referrals stops it.
How to prevent loyalty fraud
What loyalty fraud is, the main types from points theft to fake-account farming, why rewards programs are targets, and how device signals help stop it.
How to prevent gift card fraud
The merchant side of gift card fraud: how fraudsters cash out stolen cards, farm gift-card promos, and how the device behind those accounts links them.
How to prevent buy now, pay later (BNPL) fraud
What BNPL fraud is, the main types from account takeover to loan stacking, why the model is so exposed, and how to prevent it with device-level signals.
The 8 best bonus and promo abuse prevention tools in 2026
The 8 best bonus and promo abuse prevention tools in 2026, how prevention works by linking many bonus claims back to one person, and how to choose.
The best affiliate fraud detection tools in 2026: traffic and identity
The best affiliate fraud detection tools in 2026, split into click-fraud tools that score traffic in real time and device tools that catch self-referral.