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...
Yahor Papou is the Chief Marketing Officer at ShieldLabs with 5 years of experience in marketing and growth. He focuses on positioning, content, and building go-to-market strategies for B2B products.
Yahor Papou's articles
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.
Device Spoofing Detection for Web Fraud Teams
How browser, device and TLS signals reveal spoofing on the web, plus where mobile attestation belongs in a separate defense layer.
Detect Incognito Mode: Limits and Better Fraud Signals
Why private-mode probes are unreliable and how device recognition can identify repeat activity despite cleared cookies or incognito sessions.
Laravel Bot Detection: Rate Limits, Redis, and Device Signals
Layered Laravel bot detection with endpoint rate limits, Redis scaling, honeypots, logging and web device 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.
CAPTCHA vs Device Fingerprinting: When to Use Each
Compare challenges with device identification and risk signals, then choose where friction belongs in a web fraud prevention flow.
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.
Ecommerce Bot Detection: Signals, Layers and Rollout
A practical guide to bot signals, edge and application controls, and measured rollout for ecommerce teams without overstating one study result.