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Paywall Abuse Prevention: Protect Access and Reading Limits
Prevent paywall abuse with server-side entitlements, safe caching and persistent reading limits. Separate content leaks from account sharing.
ShieldLabs Blog
Learn about fraud detection and prevention, device intelligence, bot detection and traffic risk scoring.
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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.
Fraud Analytics: Reading Device and Risk Patterns in Web Traffic
Use fraud analytics to investigate risk signals, account events and traffic sources. Read dashboard units correctly and join evidence to real outcomes.
How to Evaluate Device Fingerprinting Accuracy on Real Traffic
Test device fingerprinting accuracy with independent ground truth, return recognition, collisions, splits and coverage. Keep benchmarks and claims separate.
Detecting Device Farms Behind Fake Web Accounts
Investigate device farm fraud in web accounts using device relationships, signup timing and benefit eligibility, while keeping legitimate shared use visible.
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.
7 Bot Detection Tools for Web Signup and Login
Compare seven bot detection tools across browser/device evidence, account behavior, edge mitigation and challenges, with current integration and plan checks.
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.
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...
SSR Safe Angular Bot Detection: OWASP Layering and Server Validation
Angular-focused, actionable steps to run SSR safe client checks, validate tokens server side, apply OWASP layering, and use ShieldLabs signals for...
4 Step Node.js Device Fingerprinting with W3C Privacy and ShieldLabs
Implement Node.js device fingerprinting that follows W3C privacy guidance. Follow a 4 step integration with provenance, confidence scores, drift checks,...
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.