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Device intelligence · live on this page

Device intelligence that sees what others miss.

Identify returning devices across browsers, private mode, and VPNs. Block high-risk traffic and reduce false positives — from one platform.

Account takeoverPayment fraudBot attacksMulti-accounting
Start Free
No credit card10K IDs/mo freeGDPR-ready

90+

signals

Sub-40ms

collection latency

Works in incognito

no cookies required

5 products, one SDK

unified platform

Product workflow

Identify → Protect → Analyze → Defend

Four stages, five products, one SDK. Each step builds on the last — from first visit to threat response.

LR Trace

Collect 90+ hardware and runtime signals to generate a stable device ID — across browsers, incognito, and VPN hops.

  • 1.1 Cross-browser persistence
  • 1.2 GPU + canvas + audio signals
  • 1.3 Sub-40ms client collection
  • 1.4 Incognito & private mode
identify()live
device_idfp_e068dd62…afe
confidence0.995
signals90 collected
latency37ms
GPU RendererCanvas HashAudio HashWebGL

LR Shield + Guard

Layer network intelligence and bot detection on every request. Flag VPNs, proxies, headless browsers, and automation frameworks in real time.

  • 2.1 VPN & proxy detection
  • 2.2 Real-time bot scoring
  • 2.3 Headless & AI agent signals
  • 2.4 IP reputation enrichment
network.analyze()flagged
vpn_detectedtrue
providerCommercial VPN
risk_score0.82
bot_classhuman

verdict

Allow with elevated risk · device ID stable

LR Insight

Understand your device landscape — browser distribution, session patterns, and conversion attribution without third-party cookies.

  • 3.1 Device landscape reports
  • 3.2 Session trend analytics
  • 3.3 Conversion attribution
  • 3.4 Real-time dashboards
analytics · 30dupdated 2m ago

devices

14,892

sessions

48,201

browser mix

Chrome
62%
Safari
21%
Firefox
11%
Other
6%

session trend

LR Intel

Federated threat intelligence, suspect scoring, and anomaly alerting — know your threat surface before damage occurs.

  • 4.1 Suspect scoring engine
  • 4.2 Federated threat feeds
  • 4.3 Anomaly webhooks
  • 4.4 Blocklist management
threat.assess()elevated
risk_levelmedium
risk_score0.67

threat flags

velocity_spikevpn_rotationreplay_pattern

recommendation

step-up auth · monitor session

Use cases

Built for real abuse patterns

Card testing from rotating proxies

100% device re-identification across VPN rotation

fraud.verdictblock
device_match100%
vpn_rotations6 in 12m
card_velocity14 attempts
verdictcard_testing

Platform

One SDK. Every platform.
Deploy in 60 seconds.

Client SDKs

ReactVueAngularSvelteReact NativeFlutteriOSAndroid

Server & Edge

Node.jsPythonGoJavaPHP.NETCloudflareAWSVercel

Innovation log

  • Jun 2025

    Post-quantum key exchange (ML-KEM/ML-DSA)

  • May 2025

    Zero-knowledge device attestation

  • Apr 2025

    WebGPU fingerprinting engine

  • Mar 2025

    Federated threat intelligence network

  • Feb 2025

    On-device ML inference for bot detection

  • Jan 2025

    Signal drift monitoring & calibration tooling

FAQ

Common questions

LRDefender helps fraud, product, and engineering teams stop account takeover, payment fraud, bot attacks, multi-accounting, promo abuse, paywall bypass, and more — all with one platform and one API.

We collect 90+ browser, hardware, and behavioral signals — GPU renderer, WebGL pipelines, canvas rendering, audio context, screen properties, and more — to generate a unique, persistent device identifier without cookies.

Yes. Our GPU-level fingerprinting creates the same device ID whether the user visits from Chrome, Firefox, Safari, or Brave. This is our core technical differentiator.

We collect no personally identifiable information. The system is designed for GDPR and CCPA compliance. SOC 2 Type II certification is in progress, and our architecture is ISO 27001 aligned.

Our fingerprinting persists through incognito mode because we use hardware-level signals (GPU, audio context) that don't change between sessions.

Average response time is 37ms. Fingerprint collection, analysis, and risk scoring happen in parallel to minimize latency impact on your users.

Enterprise customers can deploy the entire stack on their own infrastructure. No data ever leaves your network. We support AWS, GCP, Azure, and on-premise.

Free tier includes 10,000 identifications per month. Pro starts at $99/mo with 100K IDs. Enterprise is custom with unlimited volume, dedicated SLA, and on-premise options. No credit card required to start.

Get Started

Start building with LRDefender

Free tier includes 10,000 identifications per month. No credit card required.